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{"_id": "74d4bf32242a3d22df63e0cd3c7b5a0038220cd2", "text": "Подход к разработке новой двухрежимной широкополосной кольцевой секторной патч-антенны", "metadata": {"authors": ["2963669", "1930238", "12782286", "39935123"], "year": 2017, "cited_by": ["4177d34edb626d830625afa18ae04e4537320e03", "d747d75570ee18336c7eb69c590f9a3813fd912e", "a23175b53ca762def04a089a93ccf9ff0a7256b8", "abb2bc0211928dfb30f56adc146d0a4abaaf5d54", "bd58d6557b1a988f89944d1624ebf105a8468fc7", "de23cb26abd0547bb0ac5bacdfbde3a2be15ef89"], "references": ["7d712ea3803485467a46b46b71242477560c18f0", "72cd23ac99633967c66e007bd8e30131333e174f", "373801d851784a22f15c92b53b0e90887b3f37a8", "28eff307d957a5bd1b0868e29fd78c21e16216c4", "1bc16b87a1228dc6cd75e6aef76488822c02725e", "35064043326a0a5881e3a6f12ef9fe4228b436da", "e259363be7e1d2a08a16ed08845fba646f29ffb9", "779243b99c7f6e21c268874fe72db6638c844ac1", "d6b0d90049c23ade25d890f02d22ae3b64718f5a", "9f7b1b9d4f7dc2dcf850dcb311ecd309be380226"]}, "processed_text": "подход разработка новый двухрежимный широкополосный кольцевой секторный патч антенна"}
{"_id": "714c194a2fc326151b905270558aa137f9f22730", "text": "Два подхода к публикации данных с сохранением конфиденциальности с сохранением идентификационных данных", "metadata": {"authors": ["3073556", "50697256", "38722178", "2991901"], "year": 2018, "cited_by": [], "references": ["5c15b11610d7c3ee8d6d99846c276795c072eec3", "36814d887b403d1c22f7c3b8dade2d0fd446db79", "9492fb8d3b3ce09451fc1df46d5e3c200095f5eb", "63dfce1a9e28f3069e528bf105ceedbe40043d2f", "884552fe687da2fc0508dc7728ea8573fd66e531", "3ecc2d23e9e49b519bfe2dff6f7a22833926d553", "b30706600c01e23e11b303842fe548d62bf3ecf8", "3dfce4601c3f413605399267b3314b90dc4b3362", "03dbbd987ea1fd5307ba5ae2f56d88e4f465b88c", "093e799370396c086bc1ddf707ea6ed71276e299"]}, "processed_text": "подход публикация данные сохранение конфиденциальность сохранение идентификационный данные"}
{"_id": "c79b88a8d8ba491cead38b431703d84015153a8f", "text": "Интегрированная платформа для интеллектуального анализа файлов журналов для управления вычислительной системой", "metadata": {"authors": ["36591125", "47310644", "32666325", "3222269"], "year": 2005, "cited_by": ["6303388ba20fae6ffe2659ef2bf749090ad92b28", "c6ac100de541aeabc314e822ff3d9819bf27eaa4", "4a0fdb079af0d77c87c1d7840ab7a738df8f7564", "fd77483ab3dca387ca9b1c8ed6179c938ce504c9", "da5d14225a4e9b27cb293c0ce8303c691554cebf", "727990d5c8886f2b225884c8b0564632b490bce5", "eaf292be47073a7093a047949eaeb080df527247", "392329d04c8225334a1714f54c240b66f03a317a", "0e1a921a4cae66be6d9c7f7d20ba6168c1ee82ec", "7fc252e0c2143260da00487cb83efc7a1c66400b", "2c8d5a6ec83af01d209a22aea9fd692817e6d845", "8d1283da72095a673f61b29d1109de3f86db8f45", "e295176a2227194dc095db9ccd9f53b30f87c7f6", "4328be60d9f4d0ed81b2ac469bc12c914e09a615", "1bb74ae59faac1bd452bb26c366368d297e03624", "aa278b731091d162ecf0859fb3ae870e54b61708", "b4622086651fcc6e9b4bf87d918668f7579d5954", "1f594d49095919603a53317c73954252a4d1f24f", "0b05adc333b58f12756578f2e84e7166916fe618", "c211869f6ce6343532875264c97578476304a100", "b36a7b6837311224fc61a8fa9a2472a0d846de7c", "9ed735fabec825f1527f8c54ae4ffb4330d7148a", "2e4f4a7e78a93a58051cb4866802f851644bd68e", "fb12fb1b9744ced44d7f16468481d0f222b0808b", "8b42d2b98271d9607ce8b1d08d03a7b56bbdae06", "96544d4857777682129280b9d934d6ff2f221f40", "adeb512188e1196a583439345acaa788f2ca6291", "46076ebd7b68f06cc07033ab7da0435cdaba9eb2", "99456293e66d2125a05dd281218fd04228283dc7", "6ff751ac947b3858197f9a4cd85e672ca3100b93", "2acbd7681ac7c06cae1541b8925f95294bc4dc45", "1222936d8cfaf93b378728fedc386af390591e31", "9e82e629345c19f76cb1d63e3a8e834ddfbce461", "66509bcaa7860052b111cce50a88cecf8763c38e", "dfe069738df5105e3d9f92073f06beb26c1bc5e8", "14c5c9f9bb24cb433e156ba8a30a879d84ed49d8", "5284f528443fb9315292ea7039e9aa7a615b5795", "75dc30db2ca49130e7f1cbe2b71edc59c750fd62", "df5a16ba363095272d61154cff76658f67f5e5c1", "bbe91fa29b9359f822434a2532c56588708d573c", "fdd89aed68da242d891aeb2a3c9a35f1d9f3371f", "b9eeae3c51c66874902c82e5c9cc4007cb0388ac", "74ffded39b035198f9d0556be1b6c1f854a74d99", "2d1c16f01c89136e171d5421ec303a695de7748b", "95193d2c016f1ee266b1dbf714678ce6bb1bb2ea", "45804410f6c1ddc83b68cc7dd3c92286737a17ef"], "references": ["25bd154f59ceac58b10133d67b9c294648f42568", "13082af1fd6bb9bfe63e73cf007de1655b7f9ae0", "0620fb7416a249c16d953032f9c0b188fcc41702", "4897becde61733dfcd0328332e57a5fec00dd057", "3a09d35e18cce2c680aeb38af14af252598791fe", "cd866d4510e397dbc18156f8d840d7745943cc1a", "3cd1df035ce7a022eefaf3190627ffcd5e43eca3", "afb0b8a5ddd7c3160a21f1c4e8ecff5278f4b863", "6eb69624732a589e91816cc7722be0b0cdd28767", "7acf4c28030d446f73cb9d2ebe59ce82ad028193"]}, "processed_text": "интегрировать платформа интеллектуальный анализ файл журнал управление вычислительный система"}
{"_id": "b2a20116c0609e23d3adfeaa604500fddca66178", "text": "DeltaCFS: Повышение эффективности дельта-синхронизации для облачных сервисов хранения данных за счет обучения у NFS", "metadata": {"authors": ["3123382", "48459507", "20570336", "6135777", "21225884", "20815363", "34889832"], "year": 2017, "cited_by": ["619d77922e69c23feab9322e510004cf383be796", "d49a42a54df02b9dde60bc853aceae171b8f3f0b", "c4629443a69443406acdffe7ad2487139df05da1"], "references": ["8bbb005b89631ed2ce02df844ecc7983b711247a", "5aefda15f1dcf04529bbf518659a23112cbb5246", "2dc3cd91feebb294d6e015911dce85d93283940f", "964b6997a9c7852deff71d34894dbdc38d34fbdf", "3f834b98ea5cf9a24beb13e48018bcbf846c4e20", "586f1bf21ee8c1d95eb55e4eca0f781677cb5a4f", "3a480e9987bcbc07c5d2b85e3581e083d923b738", "044a9cb24e2863c6bcaaf39b7a210fbb11b381e9", "511c5d949e6966e5c2f152f2312c6081fb97a614", "0542407be89c6e6aeec31951a6c67f4824b012df"]}, "processed_text": "deltacfs повышение эффективность дельта синхронизация облачный сервис хранение данные счёт обучение nfs"}
{"_id": "8a93cd1b6fbf7c8c86637bae18d979dafeb9a7c1", "text": "Основанные на факторах композиционные модели встраивания", "metadata": {"authors": ["2482533"], "year": 2014, "cited_by": ["06b9ed2d9a27d715511a597f7bd5cd88e81f022f", "a9bdfb74f32b385c33888c2f43572d30604558bc", "c64a0d315e4795996836c06fdd1183d9ab915153", "63cf3fd2994747f781ccd2e1e488165d7e060682", "61c352957333af8e1e1647cef92105acf6ab1715", "1f40ac9340ee55cc371f179b6457ff64676bbc9d", "0c46d6ffa8a89a318ec9e7f05d6519c73caee7e0", "d00c31df3c50cd57eba2ad39709e1cb14a208246", "0c7b3232e717c17a2f5495f7f93b4990d252da59", "6d35949dac3d64ce087c54d200463b3908932832", "0a00df600e766775593ebad226a10bd778f33ee3", "f2810f6ee6e84296083b0cc03442c200efec6692", "ed8c24d8cb86c16ff9889cc5e82cb5311dad4e9c", "c34e41312b47f60986458759d5cc546c2b53f748", "b07b874bc7f728498953873fbe848088e92c2343", "e0f9406437eef33b110867d09c14655cb167545c", "0f36511d47596b91b8d3db265e4ca7bafc0b15a4", "bd64afdf9b26de4c460c19dea17ddf043c26e61c", "258d08e8dab99820361cd91364caded4975f5c3e", "e491401c5578e2cf7d660492b69f98caf61a43a3", "b5fd12a80d28774f354502bad53299dc2a376e3f", "f630bc130476947b3b64e8514cf4841fd0676c65", "c68ec24e2f97c6875cd006a9fa2f0fbe934e4ae0", "1bee2ac1ecf8fee9fc37135cefecedb3fa690b9d", "26ba5192025b21660f1792c5ab799f4af5350430", "206693d70e2f9a268d42a9952b9c480dc54d8dd2", "3450fa0391c01df9bb3c38797ded1110a59fd777", "08b63b1f9a770c1b6f8545c2e1e4a9bfb6a2de6d", "aafff859cad24a7bfa37aa5f9cf83b660c3508b0", "0bef09359ba6ef9a39c916d0796026cd2694d27d", "00ff22f5a6977e5b7115ba940980167e5050728c", "0303eaac94e2c6df7ac0a961d2885f35b97e413d", "ae2c01a51b2c1d63451e5aadff9626169ca9b22a", "d87ffbf5c7b6198215c4e35d3d8b0dc3994c7f47", "246c41dd8742d7c5740d0723e6559d8d97d29d77", "2b885c9574cefd36891b06b5bdbc8a71e17d577a", "72b88705083fda3df98e114507ad76094a0465ec"], "references": ["2a774eaba7581288221edbbfab267d1866ccab99", "2a5dc060f999063a41101a429c2b8b508ee3f409", "03bf8de9ee5a0e00942655e7a51f1142483fd82e", "c829b63a3ae72a47e1953e1295826c7b2f93bf50", "76327da3ad7f9c04b7c194ec78d30d11da5b4c34", "32b3b515b359af87a3c32dc78ad1f0728827725a", "a77cf5d0d0b8fa64890e66152c5f7f6fe75c9b7c", "317deb87586baa4ee7c7b5dfc603ebed94d1da07", "64d23b43efd29dba8aa43dd85ee69d597f74ca83", "2538e3eb24d26f31482c479d95d2e26c0e79b990"]}, "processed_text": "основать фактор композиционный модель встраивание"}
{"_id": "281b6888d5df1dddb350fac4e9be5c8272519109", "text": "Нейросетевой фреймворк с двойным вниманием к деталям и метаданными сообщества для выбора ответа", "metadata": {"authors": ["35423494", "32561347", "47531201", "1680126", "36124320"], "year": 2017, "cited_by": [], "references": ["1c059493904b2244d2280b8b4c0c7d3ca115be73", "7a9c4c98e361f3b4f4bfbeea7e6699917ce42091", "81eb0a1ea90a6f6d5e7f14cb3397a4ee0f77824a", "1a67622ca58aa851afe36ad6c6e78f9fb9d691d2", "c829b63a3ae72a47e1953e1295826c7b2f93bf50", "39dba6f22d72853561a4ed684be265e179a39e4f", "8ac71a7aaa808f2e339fd0e7949c8c0b26feafa7", "07f3f736d90125cb2b04e7408782af411c67dd5a", "468b9055950c428b17f0bf2ff63fe48a6cb6c998", "0af737eae02032e66e035dfed7f853ccb095d6f5"]}, "processed_text": "нейросетевой фреймворк двойной внимание деталь метаданные сообщество выбор ответ"}
{"_id": "0a40663fdcf7c5fb7cfc459693116c41309e7eca", "text": "Алгоритмические новшества в доставке контента", "metadata": {"authors": ["1711252", "1719320"], "year": 2015, "cited_by": ["58df9d4c9cde0e8e8ab5837be2c14015219c7c89", "2dc3decaa607adfdf6adf684ae91eb5b9de23c20", "ea9cc28e016fcf42bce964652acd3eb7dc23d290", "93cb07c8ca34a97f150f7d2818e0e298ffe3d4a9", "dbb28d4b9aba2f0c8e2ab6e14985c6e60c9ca2be", "4f2c94a8d689863859ac849ebb83823770cf3d6a", "4f545c4c7dc3e24193ccaec48f0b921d05b83d71", "0280fcf62eb97b0f6cf8078cd0270f963559d26e", "d43e501bb2a33227eab2327241075c860fcaa346", "41c04dece15638c573f5f1cc11af0b5e02b90153", "f0a4dfa568b5ce8b8e8224a5ffe2988cbb456f61", "527f6b2b349da740966d9618dc184e3f271a87d1", "bc4942b9118f43f8431ffddd7fac8ad74fd8df8d", "bce75cd5846c803c9abfc8e0beb18af6e7bfda48", "86ce0e7d5b189bf467fcaefb38762e7f80a1e530", "8864b38dbaa06222f21fc8b0b52e04c0f374bfb3", "4271d60193060cd0c10d177a668c7c825af175af", "0cd81d7df10d1b12a24792469fa387a9b389244c", "ff99bb00344fd74032b0ee24141fbd0fb9ef194b", "043e3a96ec61cd40e7b4c3d0bfcae2611dacfb68", "7b8b42bbf9fffe96ecbbaf707ace8f1357220e20", "6b8fba22df28d27542a493cc773b0b63da3338cd", "573f02232bd47db2d54fe1398d32308549e9c73c", "6b4273988e39df3b61aee82b460aaa44532e2c78", "719a3bb023c3f31a8ebb9c65c4ecb77c711017c8", "159978c3b7a0600b89bae8443ae1bc19afcf0bc6", "10b31443d0fa8e198e7db88964fe7206270ad229", "4448bff20b61c68955db705e2d63eef0203a828a", "44a91a87fe44123b1684428c766e453866aa5e6e", "beb0c8203ed535fbd9cd7c6b6c4f683bf4649fe8", "73cf90bed83ff0c1077fcf92c80690a76f5099e5", "0241be9b415b6685a8809f875d0f6871cbdbbd34", "56ca91c2d5cfebf6a4fd9b5843592839aeabf0c3", "dd98e745fb20f04f6b830bf190d4d698817fe90b", "545fc203b0457611d23fa177c12d824944f59002", "adb170e91e5d35027ab188a3b52752d9acc20e07", "26ffd52254b12e68122280c848ddf5dd2b099f71", "0c9dc28edf1249f30a890780b02c426da0e91947", "ee9b60267d63d7393462b55bb175be492c07a812", "fbf83bb90e48ee73157fd8aa90d7cf0315e9dceb", "c45a01985ba825d6ef4380522abb1c47a4f7ddba", "c0710585e992ed42329e14233e907cd40b17fa21", "1821dc59ea6a8c2423faaa5d14c479187ba64cd5", "fa56017502221c6c25131057c96e9d20ec8f768b", "5cb640e25d35d87598e10d666ac7d07fdd29e926", "c9d9f4ac343d98bad9e88c2f267227e5a2a54ce4", "e322a303b38644eca3284518802aa1c0586eb5fc", "aaf8afe8a19b1b037a61986abc5036f6c2cdd76e", "e539e1f118170d2421a19bf0db0e256282bf30c5", "d46a616023d72578c2b3f6f59d6241fe8f490eed", "cc92f00700dc829a7683566969e9f6370043e70e", "5a14b9884411f0b533d9c32434b97ba7adffcca9", "b40e185c4931cfe484892b95088a3ff3246b56d9", "8500a5929720b1c6c316c5197220d77ea3db4cf0", "2ec38ad2f2711ac45bad66cfba62e6d2a8f86ba5", "857e2e6613cbe8f31f706d409825bfbd2ce94ffe", "a4fefb60d0d612962a3f04262c315b7627c75ea9", "6021fe592ef2f73f7e24ddd2102a8a858da91484"], "references": ["78410760a22280ce6413fcc1cc32ed1501541ac6", "3593269a4bf87a7d0f7aba639a50bc74cb288fb1", "02bb762c3bd1b3d1ad788340d8e9cdc3d85f33e1", "04b0df5597f7625ba537a47fddf830a1de073da5", "155ca30ef360d66af571eee47c7f60f300e154db", "4cead48e2eac91560105871b78268e3164eb382b", "2a0d27ae5c82d81b4553ea44e81eb986be5fd126", "5bdbb81b975ef59a7a2e7ed84683e320301ab1b6", "691564e0f19d5f62597adc0720d0e51ddbce9b89", "5a1c946ba050697f19f5e4d65bd04959dd36d4a6"]}, "processed_text": "алгоритмический новшество доставка контент"}
{"_id": "8501e330d78391f4e690886a8eb8fac867704ea6", "text": "Тренируйтесь дольше, обобщайте лучше: устраняйте пробел в обобщениях при крупномасштабном пакетном обучении нейронных сетей", "metadata": {"authors": ["40555034", "2477463", "1912398"], "year": 2017, "cited_by": ["98ef339ca47a20246ef3f04c7f138d3b4c8e37c9", "f1b4379dc0ec1cd6bf0866643c333f28eb036e54", "0e3a5b5e6c779d6f56d45a45d737649dad1166a1", "f409c086f895d79eb8398158dca0ab2c22b3619e", "c8babb7c01498080a5f4a913fd5b6c1db0fdc8ab", "ecf795dc6fa9c4a2ffbed1ee9be6dcf7cf1fe26f", "761961e4584a0f587213a384ebe682c22ef3d8b4", "230a3ba2e031b841723ad15c0987deb3b88c17af", "151a54b0c8711eb3f9dde1f40d3003f067b0f5a8", "3b5745fe8f56d2e234e764ec682f21719f6c94bf", "664f75d95f2eaeb0246006d865117a6d361826a2", "e6e64043c66b83a8787a69a70d7c0a85fd9d23c3", "39e044d07fb194c208f9efecf4d3d4c7b350683a", "f270537f0d80dffc9748d4d2794093031becde69", "f9313ada269360c9faa74385d966122e5a20e69a", "cf88e9079e57de522b8c6a5b001bca87ea6e5613", 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{"_id": "beac53e8074b4822943a3374ff5e9fed98a891b8", "text": "Генерировать для адаптации: Выравнивание доменов с использованием генерирующих состязательных сетей", "metadata": {"authors": ["2716670", "3458479", "38171682", "9215658"], "year": 2018, "cited_by": ["e0e1b9d8021e767d7328419aac2a9f14c7b4c12e", "107a37f3f0155fda7e7fcc1b68e8173c46f78618", "7b69c2b95cd76564d612f667a19b8b1ec96d323d", "ab41b561056f981cdd59c232dbc20189e6641f60", "06ebacfb0a6e888f3a18d0c94824f8ae03e6a4e2", "3ea92231aad3857edee1efdb51d8d75b77bd3d82", "a62cbd84251d325ea9e91642a9b37f3026cd3e20", "b0e6f36a8ccc30727754b8a1b1d1ba97276264ee", "7574f999d2325803f88c4915ba8f304cccc232d1", "486ee9d420fd1eba1006221d3d61931563bc4115", "9ca3e73ca46e39ba432383decbd138683ef6ab8c", "c0e22ddaa6be8aa84a5090e9628a36c3ac25ff10", "8a17ce1a65aefaaf86586c6e44f042a0f257e92a", "5168f0ee8213a7ee0cf5a71f20a15584419606b5", "635e5b6219a655b73f47ae74751ae43577d22da6", "92a6aa78b275c692e17b9f08f2bb715d39275131", "05533c2d5fa2c2c59ba6ef5432da698f4ddb704e", "1a71392d4c0a2de0ad739b1e773a847eab9edccb", "c0a87bd3da916fc05c79698f8095bb4fe59e43da", "21bca26cb5437c15822d5243bb60d1bfd984bda3", "516d34c32974766bd14432d3aa2723dd4e7a8d62", "e15bd129025ae65899e5741ae7d45ac83945ce6c", "218c8f733ef3de7abaccffbc4b2c179fde849185", "5cba93590a191194a30b562f496f9bd696c61d96", "243e77a43a4045735415c12b4f9d9d3410f56eea", "1c012e5b3ddb8a60420e8f92162d32ad135f9ba1", "0563543c4997dad28950ab78d8a1ccd1b4427022", "569a628b039e5e88bf0eaf2acd64d92d587c5d90", "eaf1cd6624d0d3a94b79e5628940c42c6bfe784f", "b8942497abfc1025b3961d3e62bd326b829b068d", "e8c6f5fbdb3d993519df732b3e44d0df4291c231", "06864da8acbafb674f747a9d91fec1bbe82e41ee", "ca2d92d717461d7689f3638b08f36119e317e6ea", "f968941c5431d1ddb454013af6ae77e4557f8ef8", "1fefc1d288a87fe218ba25024c4b2b6ef345738e", "535a372c50b16b555c568788ec73327c765826bf", "dfd72b994765a1979c6872fc8948657885a31752", "0c2a9a6bee6dfa5240a79c9dc306c2354d3806e1", "9ac9eca9f9ecde8f99573d3c51463bfef81b8014"], "references": ["333be4858994e6d9364341aeb520f7800a0f6a07", "549c719c4429812dff4d02753d2db11dd490b2ae", "496ee0d00338d25172df3e38c3d7583785e2751e", "1597e7a691a66fb5cb333c6ef81b20dcf2678985", "1c734a14c2325cb76783ca0431862c7f04a69268", "02227c94dd41fe0b439e050d377b0beb5d427cda", "1e21b925b65303ef0299af65e018ec1e1b9b8d60", "081651b38ff7533550a3adfc1c00da333a8fe86c", "17facd6efab9d3be8b1681bb2c1c677b2cb02628", "4cd547ae45556e7cf232eee261219872a8073649"]}, "processed_text": "генерировать адаптация выравнивание домен использование генерировать состязательный сеть"}
{"_id": "6ae4d0b388aa9262e80c3eedc1cb3e5f06842368", "text": "Визуализация сложных атак и состояния атакованной сети", "metadata": {"authors": ["3182538", "3031132"], "year": 2009, "cited_by": ["b232ad3211c16552d567f1f3d12ef4e31d82cd8c", "3a2cd67e22e225c23e60061db85109e73857a673", "4e7bff4668ba3a346863fda6a95c17244b2df3b5", "1e554a1894a9d7f887cc5be41b0c06c029948fb0", "d274fe5dbe2f5c8fb228d1cb0c39ab42169a96c5", "41be87a1bec1a8dd76c1b7213bc7d963a35d3b58", "54e2d760133f22da3a37f363c1dbc2e19a4adeea", "0d08e892140ef7136b3cd13f2e54d75b9101919b", "6a065f061b56e5e587608028a6e8f82207f05792", "d1959999e38e79e960c75a818a97897566af50f6", "451dc5c6d2ef3eb6788403fe0ca7685ae89209bc", "1a1aa98b7ac2301a8f9538ae8f64e07093ac75e1", "ae4303e4181ea5ade2ee528ff3f61ea566a0181a"], "references": ["cad88564277637a783cf9b34a7b7989ab23680b5", "9fe265de1cfab7a97b5efd81d7d42b386b15f2b9", "0b8651737442ec30052724a68e85fefc4c941970", "7dbe5df8bde36528e23e3bd622fca3b799e16b80", "8dcf773f8f69991b73742001796ccde67efe4c3f", "113694eb094cec54b1db76a3e80df451276f42a8", "80d174d7d392e8916ca4dcc4e8e3c1b1e55e7cd7", "273d50bff2bf5f8d9b5e6c8f40aed094d2daab1a"]}, "processed_text": "визуализация сложный атака состояние атаковать сеть"}
{"_id": "7db20fcc1d71edc32c365f145148d24b9f1427a5", "text": "Предложение LDMOS по использованию глубоководной траншейной плиты poly field", "metadata": {"authors": ["46979201", "31103512", "40472228", "31166397", "31101132", "31090455", "30592553", "2510663", "49684724", "30794336"], "year": 2015, "cited_by": [], "references": ["f1aa9bbf85aa1a0b3255b38032c08781f491f4d3", "6d4577f0ce9a1488a7d470b514b4fc6bddb90161"]}, "processed_text": "предложение ldmos использование глубоководный траншейный плита poly field"}
{"_id": "335ad0ff82c728aca99fb0059c607cb18129526f", "text": "Перенесем вас в прошлое: Автоматическое создание хроники актуальных событий", "metadata": {"authors": ["2547492", "3134461", "1739737", "1695451", "39488576", "3335836"], "year": 2015, "cited_by": ["e2f5022bc9857704f3f27658ad2e87b55106955a", "31bdcf4979ae7272a71d8acc8d67a5f2de1a5df9", "b97b00b3742a1402154758179f1d0c3b285b9989", "3d3c521ad0658d2f6add647cf65139f2bfc34c0c", "ce962b128e034c5c632767e35c8913522bf124be", "a002b45d7b844b0d4e2c4b56564a008b96c98f75", "6e74fa424bceb4660e95eeee213c1a00ac0b3403", "b41f68cec36138d3fce960f7939b4122f666bb42", "b7668e8d079bc99aec3889171ee2f748ab01c24b", "4b07c23ab7a874f58dde0b6a71060bba84b425c1", "574c8f5ed8c8b2779ce3eeb4a6d31f218a9073cd", "1be855c7f5bb8077f4bb80248c968d9d76a0a007", "f235d9e6341c1f5c5051c033d9feaa5167df04f4"], "references": ["280f9cc6ee7679d02a7b8b58d08173628057f3ea", "6d823b8098ec2b13fb5dcbb02bb55d7030d37d5a", "5c1c6c06f95944b819651e62042c6c1be953c580", "40d44fad89f4c49cf898766b7808185ba4a5a1c9", "4c38534dcd8ff4ab0c054bba8408078284162d69", "64f51691d5caf4c32b45ef6782a5018d6649a031", "3c65de9238073d1f534a4483375aef21788ef2e9", "5dd0411045359526a6feff2495479cfa52a86bcc", "39c230241d51b1435472115aaa8c62b94ab9927d", "6bb98a3e41c3532af4e9fd0740baa86cfb72921a"]}, "processed_text": "перенести прошлое автоматический создание хроника актуальный событие"}
{"_id": "04e4034344bda5c97015ea634e6eb1b65ef3a898", "text": "Восприятие гибкой командой факторов производительности", "metadata": {"authors": ["3232471", "3174392", "1720007", "1728809"], "year": 2011, "cited_by": ["905044d327c6777fc34a6d1cd6c9f8f835b0a8d6", "e699cd96be574211e11914e9dd1dcd437b23c8d4", "74a0bc23252f3d194bfb3d9da80fc8b8a7fa4e73", "f7139a406f413c91191bb189679170ed66fd51e0", "12fd6eaf18008a6ce36e826bdd6809a5bd9b360e", "9d1d5b5b9ba8caf3f478da15b853506fc42b3885", "3a0537e2caeded7ecde11973ef463b019e1a5af9", "5e4a6ecd4d1d05b82cf38c6256ab5a3486878c71", "d1e030a7f6dd3739e2877390923d18e2c762fcd9", "c8e01ace98f639641dcd997b6bcd9efe1f14e11b", "0519d73c2dfc11a6a785dc360c050f7774ec476d", "f7f1cbb52e0b07e73cbc9f70b12b56f03ff9113a", "6fe46f0f092f13ecae15233b9b4c05a1095a4b3e", "e7d40892a114a9390dc2db9e582b9d124a90099a", "d8d3bbacea2e1c836bdb9c20c14b7331d6973c37", "bed2b777753033e24df6d9a3b209e6aff6a6955f", "ae7e9a749bcb4f7168908400b185ff8cb837b0a4", "1e9b1f22c3b926b3f370452f5eed088b93447f97", "6afadf04776319a9cdbede7b7719949a327bead5", "389aa97e59372fbc65cab81fe18d9f86fbb70a82", "b4e9772ad2176e6974d1600312bfe69ebe5ddc65", "418d5eeeb2817a65581d899dc271e1d63d4cfe23", "0e4b87f4a04ab23fe60f6657da8d80e7750ddb2e", "65c570feb7d567e5c4492abae74710cdf893dc81", "6d71339f84a11e669543f40ad0ec4ba889b2f02e"], "references": ["452d31d1cd78565757d97d9813a060b5dcf56d87", "a023f6d6c383f4a3839036f07b1ea0aa04da9cbb", "00f51b60ef3929097ada76a16ff71badc2277165", "b58b3a1dd84fe44f91510df00905a1ed33c1525c", "b72bf33bed24ed81f5bc0c21e9b86d40272b1375", "992a6f9409bbbb5fbee8672b1fbedde27daa986a", "a4d928c258e8a47fdcd53746faf4ef368e180817", "c4790b3d8f9338eb3c923623c39cf8f8e8ba09e6", "28a3451e32c49fece5aff4b35ca0e2e973642b1d", "d7b9dde9a7d304b378079049a0c2af40454a13bb"]}, "processed_text": "восприятие гибкий команда фактор производительность"}
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{"_id": "4b80771429b786ea87740738378ba1eb1504a57f", "text": "Дактилоскопия литературы: Новый метод визуального литературного анализа", "metadata": {"authors": ["9106757", "3147524"], "year": 2007, "cited_by": ["435e32ab8792c67029977667b8e2afbf415a235a", "e4b418c363780f7f2a805de763eb85ead741669c", "f50b664120374bc207eda45e642bb0cf82b6a8d3", "7c406b33ff6d6c916d8369705bbb73d20d2d0685", "770e9c05b114e0c3d62ea8716d5ebbf04c748adf", "27a84020d6e011f449a61a2e3e6e3d316e4a9ac0", "524061fefd08cfe95b0eb3771b7afeb949be5bcf", "f896186e0387c13a8823628229b8edfaebac4698", "9078bdeaefe125d2770a4ea0328369297f8857e3", "6cf580fd5cdd8928614e23f5b6cee5d8c364973b", "9f2e307a92d543d1e215275dc50099037997e5ca", "4bcd3cf8282e0a0cc032c6d565793ea0bcb79555", "09cd0cc5e1fecc1033a6834ec744407550a07185", "3da065ea9636b38bbfd6228cb5a1b823f2129f68", "31b2b83eeb31d5138933b130d50c62239d5c784d", "17413e118552d2b5524793f4e5da01bec8200cd9", "5bcaa7678540e6009876e27a58e6c9e47ad6dbf4", "1d4674033a47e4cde4ac2c18eabf4967177da764", "23fa24a2ad9fe9da82802815f566bfaa68777145", "dd2ee3f259d750dc698acb432844741bb1ea7444", "4cf40a18955e5b79eb256666ee571fafd599b76d", "ff8d35c6378383a53a5c4342e6d4b613216dbd84", "6f9859260864190f11def4477d78ca5b6b55cd9f", "72e8b9953d44c02c51a876ba13745e29471c9a62", "4d4f33fa4c460e1077bc9cc362478551103a8f7e", "13dc0201d2c56a0eb03d40b98af35cd256b7f9c6", "1867d2cfa75b09038eb23083654e53f7bb1d3708", "3ec16b19bd15fba0fa05c7beb981358962c7cfe1", "f5cccc7590a8778990dbf6066c030f3927df5c36", "dc30e82c8af4fb320963b90b6d132626c1ff9d1f", "8d740c1b0608248c63d1357c4bbfbbb312903857", "822f5cc6a5f4b89e64efdbd25fc68a49fe27c37d", "844fee265009d7fc7aa9b840fffb5a4eba0da41b", "173abe35d414e7a55bc0d2719a6abab6ab8f8ca6", "09fbc3b5ffde81e7d47eee5bcb1fb0c0526ff85f", "37fc899f1e6fb26269b3c6762fb37c279c4aad3f", "117652550aa41e307571565bb136b0210ab4acd4", "90c149a110108fa3201d0d1f5d5ab44e313eb50c", "5444e559d2b846fafbcdd7fa505c42353747bf94", "1d64f1096f192cd19243039a8b09be1de8cd84ad", "34e793fab3aea89aebda5f217381ce113805b4c8", "d1a23396dfd46c40e6a8d2916ca1245e2f0dea9b", "76930027894add4f7c96000b8f1bc3d5d2029533", "fee6b3b93630dd73f291af9ccdd044bd09e16aa7", "83df73a949613237a805b455ff2a563ecd1fc262", "7292286bad97b42faf0db4c678299ba7a82e3398", "b7192cb5217fe2d276a023a15093cc721fdd8e71", "baa2cf0d6630da8adb353643de7ed8225ed283de", "e0ebce530019f97f3b8c9a0b665e941cd0c3e886", "fe5451e7202c5cadf5ae6f2f3b5129b223d34254", "e1167ac808d64c4202631396381e9e83272da427", "6a21dcdacbf52ece029c4675a9b0b34cc130c010", "08d8ea305a3a7dc084f1bf30f8e0a5168aadf650", "0915ebb42bc2d964993cf3829aa65e2aa158db1a", "3b8c67fe4473a3c3f55fe6b84aa86e1e66fe0d93", "8e3125142dcd6fa14e12786d85262d7d2cee6571", "1e94f76e1fb0ccf9ef9100c11bf923f99135fde0", "0f8f4cd8d7f318909b5449fadfa2b4ab33e2dd9b", "1128ca04dd8220cbff080cd19c176422d46b4a00", "4046ac08fdf96866658c632c492570cee0fb55c8", "6b815e4af53692fbb6d30a5a73be0074d60f3658", "3b83ce394c898b54c982c62f216e9d200c392e99", "fb516d06c9970af80cb094cb0b5a8d47c0983c91", "21f2c27c1e419f4666d8cca40a5e252429769e9e", "17a23c0ca56f732dfe58f501753e7910275d7dcd", "359e5eec1b29c9474db7c23ee2e01b9768616daa", "9cd073359634f15d54840ce34ab8847c3169a110", "f40cba4280eeeb7a0a388b7236038e0065feb22d", "fb6d51aa3226b99ceeabbddf9822b4fd6a40dbfa", "079af2c73e1aaf8c22c0285589f737bff0438b90", "35d9130eef7b6b299a4eafba46ecdbf3b0da9347", "28a187fc374bba8a2d209362cb3991679bb007b6", "561b8ba3551c6ff4298fa4d138a40b7e4eb14012", "fced777ca3a22f70cc49f914f2c7111bcb4b8930", "1465ec0921762002d781caa6a06ba7dd4ab9c6fd", "5c3a748b3272d251adceda2bc985738f5757dc26", "231349b48eab2ba001cc49de497f6b816ca405fd", "461534984f3864f27b9c40bfdfb352188de31e8f", "b916d27090b2f8d31dfb5d72627c0e56a7f829ca", "380527f03eabe2b6dacc5bd4bb0b019535a32acb", "58164b46af2fc433178162f9233ffda7fcfc03ab", "e8589643bb30ac4c81d96008eabb07f28a02eb13", "b6677c3559b66158954316cfd49e3255b7ac04b3", "20cd40f3f17dc7d8f49d368c2efbc2e27b0f2b33"], "references": ["241a138f70c63c5fa8fde0676e4e489edae395e9", "4e04c200f342f94e50212b98999808809b8856e6", "21fb86020f68bf2dd57cd1b8a0e8adead5d9a9ae", "d4748117fb9dec45c92180190aab4724bd79be30", "c2024e7204053778e1324cf71cc3ee79fb190f2a", "0529e9bd9fef8778bba97ffddc349b58bab8cc2e", "d9259331c3a9174d6e87a993e798ca7bc482283b", "44c993b87da5bef2f63d172cf4432c27bb4e87b8", "4eae6ee36de5f9ae3c05c6ca385938de98cd5ef8"]}, "processed_text": "дактилоскопия литература новый метод визуальный литературный анализ"}
{"_id": "9003fb79e7848ced3be975c3d87a9348a4b8d377", "text": "Моральное развитие, исполнительская деятельность, пиковые переживания и мозговые паттерны у профессиональных классических музыкантов и музыкантов-любителей: интерпретация в свете единой теории исполнительства", "metadata": {"authors": ["3242742", "2048722", "5614955"], "year": 2011, "cited_by": ["6073fe16985c915ff964e048d67785d696da7728", "2b5db10eb2d18c943a5555abb0f9d0e6b49b7222", "691ff05a8970b21cab2a88f7e1c8eaf1c521911f", "f6bbe54dc9a84c41b153f53b5c09dbe7cba9d63e", "ca9c27f32a8b0095fc3ce32745f27157ab463d07", "4d03f355eaf1782f04a21fe1bb1cbbcf5294be74", "fcee17e258c9b5290d7ae8c32668ed3700d6f2a1", "3500c06d29c7a4b6029d6fb996bfdce254425a77", "c17950f364cc4618eedb71bf7c22866e39978710", "994997b61c3b4e466f66ef59b177c66b40cd7316", "9c94b132b1283db1a06bd36d3ec5d2a1667163eb", "575ac2cdb7263beb9c1e2baffc2fab031679647d", "a7b8ec2cd246e73419f991089fc81d8438f38b40"], "references": ["67f1cdff1a724369a6177dc16b586301e7d6e121", "9b8ecd9827d20b2a48a461a5dc71de9f8b129e7f", "8ed0ee88e811aaaad56d1a42e2cfce02edcc90ff", "015868255e1738b7eaa6b02172aa88b247e36e97", "5fdc70c8e0f91472060d0321b66e579728641e20", "fc0c80784524d9104d043b02ccb561703a76f030", "cc54251f84c8577ca862fec41a1766c9a0d4a7b8", "63a03086faa6a982aea814a3e23e26521c4988d9", "5e504a5af985f131b4613357fd69a34ac7585779", "339fe219222ec477814e570323d91563520da362"]}, "processed_text": "моральный развитие исполнительский деятельность пиковый переживание мозговой паттерн профессиональный классический музыкант музыкант любитель интерпретация свет единый теория исполнительство"}
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{"_id": "30c9a7660281ad8e4538ff9beb20282c74fac810", "text": "Анатомия онлайн-социальных сетей: об анализе Facebook и WhatsApp в сотовых сетях", "metadata": {"authors": ["2283660", "2035277", "12647771", "1736199"], "year": 2015, "cited_by": ["e5cb123bdb4e46572cd71102d929f792fdbec848", "6200e5f59b8ef2b91e944f756efe94ca1407c4b1", "f9144cee2bcb1d0a508a7d71af322a63456ef100", "09de634fdea08fa48a39fd9d7092595a230efd5f", "bc041fe13ed2881e58e6d2f7f1ab4b6b895d7b69", "92bf799b7ec1cac571d4260c8c4d74a9bddd8ba6", "cba40a7446d3c59b637ab92708d7bf61de52826b", "4d27dad20aab653f4955fc18f3640bd21ab412dc"], "references": ["4d722cf0b47d6265ab23cdb91d3d24835352b5b0", "4c4ecb120fa7fa0ae9713138b897be329f9e6d39", "13bf13f019632a4edb967635e72e3e140f89e90e", "0237695ad6b94cdce3c1dc09d48d8d76e6a325fc", "41ab1defc36b8c9d73ec6911efe8a2b77a90c7f5", "161d9c0156656cce193b64434c3264ed94445d59", "47f6eaab585e302ea8773ce34c37ab94c774a2b0", "6e5aefc36d09ce1f2bc7ab00dd20bde2ad739425", "2483732d0e892328773341fec67a3a6f5b092acf", "740f4097ca7011a542766f35f2e9bd8064ca30b5"]}, "processed_text": "анатомия онлайн социальный сеть анализ facebook whatsapp сотовый сеть"}
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{"_id": "73d54af530d22599cc76b9785ae0a663cc694df2", "text": "Нейронный вариационный вывод для встраивания графов Знаний", "metadata": {"authors": [], "year": 2018, "cited_by": [], "references": ["233bc1bbdf5c4c08da204f545b1eaf15876ea786", "4ae0907151cdc0fc0d9aaf0982e783c9652dc7a2", "00bbbf3af78f80651e9f955209ee72711fa5d412", "4f4837c1f8a194d8b7fe7d6073ce44876f08ad6c", "2b9cd09b949b7e69933d18ae408397e803987151", "272216c1f097706721096669d85b2843c23fa77d", "5afcd7a69ddffc7b7ecfb82aed69f2e1ec007004", "1c2cae04e0e00dcec3fe6840b2daa00ae9e8a0a3", "9ecd3d4c75f5e927fc3167dd185d7825e14a814b", "d4eaf11ee7e460e75570c44568f0af3cc6eebc29"]}, "processed_text": "нейронный вариационный вывод встраивание граф знание"}
{"_id": "de77514c78432a0b17cf30baa024434173908f89", "text": "Автономный подводный захват с использованием многоцелевой лазерной реконструкции", "metadata": {"authors": ["30739923", "30579082", "1700156"], "year": 2017, "cited_by": ["17f7bef6ef081fc3e42ed6c6cf0e9e5841b7a711"], "references": ["0498faee3339adf317ed7e98b3ce5ef454baa2f4", "aae4665c2bd9f04e0c7f993123b30d87486b79f7", "e493d65b67dc2e2582135242d49b1add6b5a12d8", "a089b449a4a5c71eccec50c6413397d30ba1cb11", "b75419a5530cf1ba417078142c05d9b043ad56db", "5b84bae134c8226a113592abcea1cb0ae37b1115", "dec3de4ae1cb82c75189eb98b5ebb9a1a683f334", "31f1bdd9904357f5440ede1d64411264ab66cab0", "3445c24adbb2a21a1deb20d80712a8b28367f30b"]}, "processed_text": "автономный подводный захват использование многоцелевой лазерный реконструкция"}
{"_id": "7c88a0f765ce3c9025345cf133251cb947fe6ee5", "text": "Иерархическая классификация с несколькими метками для данных о билетах с использованием контекстуальной потери", "metadata": {"authors": ["1787131", "36591125", "1828069", "1997087"], "year": 2014, "cited_by": ["07b7bf842e5946b7acec4d5aa984a290cc2ce4c5", "b057d645bef6ab000a6f708e1b4e452437b02b82", "d6687897a064469ec48fe1af821b1a3026836c84", "0088192a000f2c9063acfcf46977916dc2c6fadc", "0709b5a4a555a5debb084f6c1f8756592bf8997b", "f4596f9b16da0f782a814cd268bef6b375028d35", "fce2c4148bbaaa31f84e16e6f052d5d2dd50f2a7", "05a548ef95e2dfc09c632ead0e34dbe9a6035045", "aa278b731091d162ecf0859fb3ae870e54b61708", "8b290521e655421f52c487b5ef75178132a0e4b7", "9b4bcecf5134d70b8ff6036b9cfe57a3ff74bbd8", "bbe91fa29b9359f822434a2532c56588708d573c", "2754cc5b189b5f7cce96f735436b7f8ede6b19cb", "9cbbb902931d77521ca0b7956a1a83443cdd970b"], "references": ["04e715f3664c39e7eb6484b7b53f5a1e1c9a422e", "234f11713077aa09179533a1f37c075662e25b0f", "dc5875c13ef36b865f241bd56570325866b8407f", "2f624b97253910f38e656bccf3194f911c6f62fe", "3d98edb3a7c969ee4733497012adcc197d11c4d1", "3caf0500cba505b2823730ebf8228b7538e97a08", "0a665d99541ed9a5c509fa87db5581f30bb364f6", "2acbd7681ac7c06cae1541b8925f95294bc4dc45", "2ca9c01f26493917ce497465adf50e1056d6165f"]}, "processed_text": "иерархический классификация несколько метка данные билет использование контекстуальный потеря"}
{"_id": "a9d7e7e918a68d1b95c6c6b29f7fabbbe01010f7", "text": "Итеративный лес Хафа с гистограммой контрольных точек для регистрации объектов с разрешением 6 степеней по изображениям глубины", "metadata": {"authors": ["47275181", "2892978", "1700968"], "year": 2016, "cited_by": ["a58624c63ac680ef3c68483cd91be5443d34093a", "291e5377df2eec4835b5c6889896941831a11c69", "2638c5d0824e00fbf5c8edc4015f431debbcc226", "e769013e67863ba1f7547c1c96ccebd0ff47b2fe", "500162930ea561018273ee40e07cf91763539c55", "407f4e7d2f8507147202b901cc6798dc4505028f"], "references": ["3c93fbc839112bfc5fe3946143ed320f2734dac3", "1e8f46aeed1a96554a2d759d7ca194e1f9c22de1", "10bf2bc40c0d8bc622fa15327efdc4dde73ee22c", "242caa8e04b73f56a8d4adae36028cc176364540", "1b6cb11bb421b5fdf7ed95b703cf5d02f070391b", "5f2827d3d166378b676e41330fbecf5e18eab27d", "205bda09044bc32a1e57597db7ee2a78dfa313ab", "3e6bae4615a98d3734838a1764d03c9f127bdbda", "1bde4205a9f1395390c451a37f9014c8bea32a8a", "311b674588072a15fb80c759c9eef7bf3897c346"]}, "processed_text": "итеративный лес хаф гистограмма контрольный точка регистрация объект разрешение 6 степень изображение глубина"}
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{"_id": "5e1b80b4774582b948c6dcd656daaba6724ffc2d", "text": "Оценка инструмента перебора, который извлекает RAT из файла вредоносного документа", "metadata": {"authors": ["1924475", "22490720", "3264865"], "year": 2016, "cited_by": ["23b3e2e0f86b84c2a0b2f459a54ef9d0f2b2ce4a", "a0b703dbbf6c5f526ddc92ffd19e197dcaf8f30f", "8ae0b6621602d0c13d353a757369cfe56bcd59a0"], "references": ["b9f1377011f3f3768eb2acf781b06b096bc77a6d", "7dfbe239b478f3a6afdd14918f8edaef2168ff8d", "029181c7dab10fb756821ff7efcfa32cca282ef4", "31706a59b5b16d1b66340b79b2aa73d417798ee5", "5d253d3e65bfbe6e950e5c2578562e80da0f86e7", "d352cae5455fd4159559b643500aafb758b6c8b2", "b90dd2f366988d9bb76399d4137c1768fe460c8f", "29f2978f6f1b6df06f83f938ef906e601ede1bf3", "6728c025f51f4840551f599303533daf23aab986", "3946a5c410ba1980d932cc6d2987b4d935e038d5"]}, "processed_text": "оценка инструмент перебор извлекать rat файл вредоносный документ"}
{"_id": "382bbb79d7ffda63395db3d9b4ebce55d0b2f038", "text": "Индивидуальность и согласованность в созданных диалогах", "metadata": {"authors": ["2722475", "2232421", "3263707"], "year": 2006, "cited_by": ["8e7910abdb4fef5667cfec034d28de3e2a8cf252", "0be62334cd37cde3b7e3d6fe9ad95f462b573eed", "838007b1b36c6c775323bed802b968b18ebbe569", "d13bb317e87f3f6da10da11059ebf4350b754814", "bc416fd1978072f06b5866896e06f40ea036046e", "31bdcf4979ae7272a71d8acc8d67a5f2de1a5df9", "2c020772bc9ac9fdee3b2c27d92508ecdc8e733b", "96e3fa57e0d90c6a2bfb3ce08c25c4bd0cf5814a", "4a709797c0c2d867baac511914c6f718d25dfac1", "d6a0e683ea321dcfcd52c9be78180079ccaeb424", "2a38909b190507667ff995b9d23531f6a2decf7d", "2c7aa6501e56c70d79cfa99058a3a76ff610864a", "edfb109298a04bfac6a1617be291fb44de3b0f0b", "e2bcd1f58b791638c79f92d9a3f41090bd0ea2ed", "437641d18b74a8348aebe316f457805b84e0cd27", "03fde2b1850ce1d1afd88c6e80ded3cad8f106b7", "73a2d31b7db7ca3ed1b2b9e4ebb70ffec4ab36f2", "7d20a2a48202773abfb7a65fe1b1ea1eaff9c9f1", "55f58fe2fc8f51743f1b323dfefff43a1fc0b115", "a52719927fbd290a220051f5a1f3ea66ede98b29", "016ec89d94bd60ae41fecf76fe525c655d3b1b01", "9ad61affbc4106b85d617a6c5f9e3de7ea53bdad", "2e2ff7cb2496a411f5ce07064e61f14bd5122541", "c93f8c6ee715490220888d16f4eba99f509f2329", "2bbf385c1bfc32664abac3391d3ad4efe5ce87dc", "5db91f109b44691b53373828b92dd7ff25c6ea05", "03bdc8dbc6be0ba431cd627bd4571399dd93777f", "3a6f5bac032e9fede3a5b6a0d84e28f6eb2885a5", "3150c13ff932158004fab89a5593ec650f4de505", "438bdd869cc2d43aaceb11268590c5c308e5ff01", "8a4679924c162c0f006f6daade740075269706a1", "362556102f0dfa3ecdbc99f2882acc9bb9250404", "0f72984bd0e0fe610ad193590c8397a6972e6adb", "3ddf116cd883652663622ca8eb813f306c12fd55", "7121e73db2816ab00bc03a91c19ef2b7aeba9b49", "847b1f02be4f181095f95219184f19733861581a", "512187e20031ab2302d162df71627d68a1379e5d", "0e80c53e1b99befce3dfbf1382a1851677526201", "f42305d4056419fda4c0acac3bdcc3fa5b67c781", "7edae6062ae3756f3faf3939fcee894f0e10ee56", "5cb674c5a2253c977dea903ce33f7e09a99156dc", "468e3dd5ff462a35c106b21cc5b91851f21475c6", "33f68a609d81cda2675ce0c5ef134f9c85dba9be", "11af5868eb942c3a88649ce1fc97693f56ebd890", "89ba434b30a3f1b61bcbcf917842899fe3d2eea4", "54c3774cac16cd5c955a49eff845754ce3b8c6ef"], "references": ["693771ff73afba6cdbf8f34a11b239487b57c475", "197a7fc2f8d57d93727b348851b59b34ce990afd", "6eec845383ebf500460543e5170e55e757834a75", "44dd3d9d5e334f079a6abc400c5fc679b919cadf", "6b0f58e5af6b9c2ac721b34d0fa6f0798dadb0c4", "91d0ba5fe91387ca9c23231a0d5a309f107bae03", "9c1775c992847f31a9bda931a1ecb8cac5365367", "52d6cf41636fbf49a4f15cc4340584423527928a", "246f64419d440135abcf6e7e4d408316f54f8a3a", "7ca30f14c97c175b2f2d86473be4e371cc69fdf4"]}, "processed_text": "индивидуальность согласованность создать диалог"}
{"_id": "f7bdc97a6b4c5d65c145479ae74b3a244121ae89", "text": "Модель аутентификации цифрового изображения, основанная на краевой адаптивной стеганографии", "metadata": {"authors": ["22797610", "49698540"], "year": 2013, "cited_by": ["8b42294ac986607d6275bc73e423a1d6bd57ca06", "8ee087c567ab45312f6ddfc99b195d1b014f2358", "4766172809d11aa12d4dd22c9b5029c339971eca", "5420147c7ef7b6b785603d443da48cb1aa66ea91", "49286d36dcd70aad3cd5715e0bbf9d3b4d9f8330", "c743c995f3e37b37b3d68479e3e9a8af9060c0e2", "c5422b4a9434595b397e8e1c74dcf87f26042032", "8d21f611fbcf75784957206ff701cbf747d9c29c", "dc22b7026a3ed117596a2a0e2c3a5e276b4656d6", "00207e2698d954b906a7826f315837d713782600", "fce407f795ff1e2227138166b122029e9dd2a170"], "references": ["00cce201016ba60bd89177a655b0f549b5454574", "31864e13a9b3473ebb07b4f991f0ae3363517244", "6fd7dac29b65ba7b6b2ac45dd3706e049898ea58", "33051a554ee43514bb09a9cc54d648d2d7abf19c", "874b9e74fb000c6554c6941f73ddd4c66c6de38d", "1e9e6d02b39d3185d5360bef204ed5882941b60f", "a025eb6ac887ad9ae10d5701553e2be2a3d23901", "fde26886429804a772d2ec17b1d572ed1c527c4a", "2a531af115636df222b2ebcee7d86716727d6cdb", "fe84137678d816b42a2a5eba85f7fb7d00af9fa7"]}, "processed_text": "модель аутентификация цифровой изображение основать краевой адаптивный стеганография"}
{"_id": "e659e72b7962c9ad586a2d35a7099550102fb054", "text": "Системы интерфейса мозг-компьютер: прогресс и перспективы.", "metadata": {"authors": ["1789559", "48133515", "2707196"], "year": 2007, "cited_by": ["02d04756456b68c66cb31e7dabc69b3950d63a17", "b7e4b344ab150f6bf46da01e508707e5f01246f4", "63cdeb795f84fe87e4a534080faac4c2e5845e7a", "b4ffb60c3d6b874d192965969ea68a0926507d3a", "a33a7da773913e1ce9e1549f245020b48dd11bd9", "19e5a7da255fb1af73ac8af74ea36745561c6c03", "d761df4f3afd55e1ff8626a65d5f7eb0c49f373b", "19c4f39d57d3380fb7ed50d1f4577d6b06f2ea10", "ad5a82b5e908042c7def6744dc86a912c4d8e6b4", "bf2f575f487f950247d65d4cfdfec79b8d654af5", "6f86c1d24e4cf5b8a0f12c5d4daba46634134572", "c8e401c82a7d2f2b6a33ff8cb085f56b07fa6a4a", "8f364a5a188401aaa6b598fd427fafd1e57f1279", "5e4b23a9fae9c005aca94e31de3ebd2f27c4e503", "03366200237e157ce1b2ebc9b3481cea61b79f8e", "7f40f1bfa7eaba969449f134535b9fa1ddbee998", "9aa56fb55b11fe0a155137d563f22cae7701d8e1", "52be49a9fb44ea9a607fb275b496908547455597", 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{"_id": "3136f52540fb7925998eff94e9c016d2e1a6fe12", "text": "Планшеты и человекоподобные роботы как привлекательные платформы для обучения языкам", "metadata": {"authors": ["49996858", "50743050", "9297958", "1921705", "1744344"], "year": 2017, "cited_by": [], "references": ["d60cd952334d9d743d3fa4970c80aed16708ff7a", "3551e25f1816a32898f4e89c346df9356e5ff435", "c4f19894a279d10aa2001facc7d35516e8d654ff", "c61749bf4bff8f8135c20e0667418302563701cd", "9908edc9c8ed62fc551b58856f07c9addf491946", "989604432e458ba9c612b5541267d15c8355783d", "7ba8873f14cc67d897be21aff3b4f7d640fc1ae5", "73f8d428fa37bc677d6e08e270336e066432c8c9", "30aab2e06b2caab9bf63b06c7a41e1e36aa86d81", "7a590f21755738f7b8280cfdf8ed309d445a85e6"]}, "processed_text": "планшет человекоподобный робот привлекательный платформа обучение язык"}
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{"_id": "5a4b46ef8898610ab16a1ced6f4a976db0f1962c", "text": "Jack the Reader - Платформа для машинного чтения", "metadata": {"authors": ["3319373", "3051815", "3239480", "1736067", "1851564", "2620211", "2709802", "34902160", "14565299", "1918552", "1804957"], "year": 2018, "cited_by": ["648039fecff94b0627f870ed3d1ff1b6712a0b94", "f0fda85192a31ffe7523dda89d1241b121ab136a"], "references": ["9f8eb04dbafdfda997ac5e06cd6c521f82bf4e4c", "6ac1962fd1f2b90da02c63c16af39a3c7a3e6df6", "31deeedce55e09d413c7e8101012ff9f3ab92b16", "0a6d7e8e61c54c796f53120fdb86a25177e00998", "c05727976dfae43ae13aa520774fc3bd369d49b5", "93b4cc549a1bc4bc112189da36c318193d05d806", "007ab5528b3bd310a80d553cccad4b78dc496b02", "33f5a57916ba59ed32190aaddb71c9cb366ba7f8", "f010affab57b5fcf1cd6be23df79d8ec98c7289c", "470711a09e2b59a18faf7ebc6ec5d5ce1e258089"]}, "processed_text": "jack the reader платформа машинный чтение"}
{"_id": "232427099d4a8acf1dc29efc852f09c5964e6165", "text": "Новый взгляд на методы прогнозирования состояния для обучения динамических систем", "metadata": {"authors": ["21645167", "35526495", "1736834"], "year": 2015, "cited_by": ["8a802c9a8b7f6f47895ff9d771cc44908f500c37", "0eede3f82378a727715d7543e182f0a541930039", "0c7f7ab085795315250936287f8f7008b630d92a"], "references": ["26a3ad5c3e0c51568f66a3bb879bdafbb25054df", "0122bba20a91c739ffb6dd4c68cf84b9305ccfc0", "307baa59e5d53ddf03146f53721af2208236cc62", "0c5e3186822a3d10d5377b741f36b6478d0a8667", "6e5b04cd65fa6482f92cc362f134df62523831e4", "645b2c28c28bd28eaa187a2faafa5ec12bc12e3a", "966261b77a6517885dd608c31eb8ec7564ae2748", "92819d584f3fd50975242bc504e87f9925a58839", "5ec33788f9908f69255c9df424c51c7495546893", "16611312448f5897c7a84e2f590617f4fa3847c4"]}, "processed_text": "новый взгляд метод прогнозирование состояние обучение динамический система"}
{"_id": "100636ca50edf63d4336bb071f3e172cb0ebccaa", "text": "Глубокое обучение с подкреплением для разговорного искусственного интеллекта", "metadata": {"authors": ["2448313", "26412712", "6099396"], "year": 2017, "cited_by": [], "references": ["268a7cd1bf65351bba4eb97aac373d624af2c08f", "07a5c4ba84268708146aa4bf5cad9491b3e35051", "3b9732bb07dc99bde5e1f9f75251c6ea5039373e", "39dba6f22d72853561a4ed684be265e179a39e4f", "e6926644f7afc4226c003048b27d47af72a57c9c", "32de3580916a1e5f36bc54779ba5904c19daa403", "4cd91a0bc0474ce5560209cbeb79b21a1403eac1", "667fb84bfca10bec165f9e2cca3e21f5e4829ca7", "d31f9d5783a06c3298a03cd9e203eb7879f4bdf0", "15cf63f8d44179423b4100531db4bb84245aa6f1"]}, "processed_text": "глубокий обучение подкрепление разговорный искусственный интеллект"}
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{"_id": "8ff6581f94c366e34c6f2d55806f7781194c33c8", "text": "О визуальном отслеживании взгляда с помощью одной недорогой камеры", "metadata": {"authors": ["2762745", "1871856", "1726527"], "year": 2015, "cited_by": ["1c5243b2aa09bf6dccce07bc74c327f638a216c4", "68d593e3a6132e9f87b5d0da49d1900c81b59ae6", "5552d34933adcc74d0e3ca8cdbb93cfe3b1aaf46", "8a91cb96dd520ba3e1f883aa6d57d4d716c5d1c8", "2f2a07283c960f186da6aac5a7f6cde5a8ff49e3", "182bab58a807fff90570fc6a929a3778e2f100fc", "32fc9829dc186c9fe81a92d0a2551d5a010dabdc", "09af22d4e857da87a9951e349d4426f24e816d6c"], "references": ["97308ad93e374d973b13e87942a5e3d104942f65", "e428ae898ffb414bfea3d23a08609da018daf85b", "520e5acf9ca7f4cce32c8e42b2686743331016e0", "8c7db32baaefbda6062aaa505976565e8e5099f3", "047748f1654e1ab28bca179fd4f6010f4bd0f52f", "e0f296dd7a8c9e315e4bd4e1108142f2e9e6faec", "9727c74a09aad74abd67ff1d2dff083cc73d4a2e", "50832083df91f83333364544b24f8af4798eca32", "7cc76365a4ed666de79a45ad55dcf44c85bbb840", "e197b143ad0b028e46b723b75f6986b7170cd832"]}, "processed_text": "визуальный отслеживание взгляд помощь недорогой камера"}
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{"_id": "3565d884735ead613a5aa0903f06a2cc86d05b6b", "text": "Анализ и экспериментальная кинематика колесного робота с полозковым управлением на основе датчика лазерного сканера", "metadata": {"authors": ["8269676", "1699018", "2944179", "2984015", "47739671", "2235010"], "year": 2015, "cited_by": ["87190c3ff204325a2f18e382ca4ce08128d05d93", "53639afa2d777bf1bfd0f46e4266bea992d1d73b", "a4ff5217002cc20c977f7a6a68d0bdfe826ea407", "bdb8afd7948c0a6ff7f2bdf85c431cfdcdce616f", "36f393f1d50466d566c6a081498c57d9196c9711", "35ceb74812a5f86736f9380ed86c1640d740e31e", "02595dff0697c6e381b72d394444939d9b47d0dd", "28c592ef8c3c8f99e586003ab6d91251c184fd5c", "e94c90af6ab51eaa076247e3c171be88a6bc9528"], "references": ["d1dcb018760f79a2d5dd823e16841bc5ce8cad2c", "27f9b805de1f125273a88786d2383621e60c6094", "6e8403304544ef847d4be3ad947f2ccb566f630b", "760c81c0a19f8358dde38691b81fe2f20c829b44", "7df9117c67587f516fd4b13bd9df88aff9ab79b3", "da56bc94d703f0f5dadbfbe8727ec9eb973e7749", "656dce6c2b7315518cf0aea5d5b2500f869ab223", "9d9fc59f80f41915793e7f59895c02dfa6c1e5a9", "6b4f06edb175523a4f59f4586452f92a6354f4cc", "4dd666eecd38548e1616db2a51e1c5fdeff8b6f7"]}, "processed_text": "анализ экспериментальный кинематика колёсный робот полозковый управление основа датчик лазерный сканер"}
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{"_id": "23a7c8d9f142184d28e56b0751e172fef6539275", "text": "OCA: Сборник мнений для арабского языка", "metadata": {"authors": ["3217729", "1702302", "1741719", "1788861"], "year": 2011, "cited_by": ["3d604f88215a11a2ae44be78791aa9109ee98da3", "c9d55721aced762363a148c891950cc26d266289", "f53be1b56b303e7e71776604b3b00163d641726b", "2f8356a28792434c8be1fccf00b021da1a24217a", "c63e4034127831bbc747c959dcef079eae98d458", "fd195d7c7dd232337a00c6dd3af237100fa1ef81", "a08cf3e104a31880c11b9bf46491922600a7e920", "054e8331d7bea8fba2916fc57d6d8781edd5a3e3", "1d447136144ac21d10c0be25425e456fe0340e39", "aa83798a9b4d6e48fe83a7a1c4c74fce2bc1b3eb", "74b537856c134ce5df0f3fa7c42647c54aa91040", "28db5c8c7b3024e5219930b67c046757f1ac2807", "c3ca18c691338e5a5ca3ea33db1f0bbb9a85425a", "03396c508b0d8aa0439f7e068b833f0ec5828a76", "572412efcbbcc313ef3159f40fd707eccebd8ae7", "74cbcb2c78f4c12b37be11b753f728ad8af13ad0", "5beafa499092b68e5266316138bca9ee4cbfd920", "2d6294b7eb362703787e4752e4f59e09f94b5034", "4010ee572bd40a324a5fdf8fbd3772827d99423d", "244fa023adbbff31806ded21d5b2f36afd3ff988", "10ed2dfc007aae7b46437cf5eaff568ac393764f", "4a7f996dc2329f0c0fdf770033091ebe74fa99f4", "0f8efc70321d9dabb95f0c37529343015b71417f", "492b056ffdeb376f65a39bf60e56479f3797ac40", "9b4c0630a19a9ba997022a5e3bf18cfc98f2c63a", "f963c9dff2881f648286aaed19365e19545adfdd", "8ceeccb941b3aaf488769acf0e7c762855db5a61", "6284eb522ff3cba1b4ac87667d5b87d32c3f4390", "576d291fecd5a5907f41e3441a3cfa3db10706df", "145ef1533295c0ca082e862232016c993dab593c", "7af9722b1ef84e9f3ec5096da09b95cea94e7381", "9f5e0635e7fbc78b7b5d810e1c28cc34cbd4dbe4", "bbd71b04c1325a2af179aa299351a1bb534f3f02", "654c4a687fe85bf055fc413e383f8ce460f47a3e", "10bf222f875221b4f04c73ce90dfc84294f62386", "a923adb0654f29996f9db032558877415f101759", "64745295846929f5b2c5a5008026a9b8466826ef", "0cf9856b1b07309f9f292099a41964df82e91956", "69f39edfd4d37e544077f6f98965009dff57bca4", "bc1d01ce36cff0e9d0c0805e6b3acb1d51cdc7f3", "e33aa0649cf29ee8ae0f516c62fbdea84f850879", "0e4a0db026962abcee1c06447490642c981f391c", "45ef9f060c401349384e6b7c38a6bb03b6077397", "b41561b1c5c20042c6aeb11f58272aa45a56d26d", "24c3dd0fc8e38ca704906f196e1b72786d113d4d", "5d38e78cd62aaf5723a99f001d652fe44c7757a3", "b569f22ce779d221ec008c0baa354796d71e3d80", "edaad44bf21a3039af9441371e4e4bb7b5ee9441", "9363c69974164fc727771a70088887897760763a", "52a5a67242ebdd2f4af047ab59abc647c3a7d0a5", "ca22e6238871b94f2e11a9fbc8f7f2a6632d67bf", "e203c7e6d34bcaec9097522d6ba8b7382296d0ee", "cb3d98061a72ae209dcbb10c453cc480269326b4", "d8888ed2d32de7ac759673a795b1e216ea3b9c73", "68d0b4d48d6ec657d70c5b6574f406c3828b421f", "0b91daad3743927b5307c747652b855b9715544d", "9bcc0c71d348f28da9f4ca3c46e2d7b27df7fb62", "81fe21d1b83d658b52f405a9ea81802d74a53d7a", "66b64087bfd9a59805a24ec06add72dac6e86fc9", "b35011bee6aac8d4e4a12455b6734d47861fa562", "b98ac5a1aedffda49ff04e1a454a2b212f076435", "aa8bc324b9ce30ea09dbcd33d3ef1553d221b902", "0561eb644de8358c9076e82f1f6cafa40c4f06e8", "b4d0492e9f72e0709d6def0bedfa67cb0bb4fbdf", "6875277306dbcf254e6f5f19d8e43fb9b37c5857", "fd6bb9c0784bff53126b5ceff39b18e9427bfb0d", "87bb550ec0c0141d2827ecc1f62c87c7e39b3db1", "46a209699f549500d4b3c51f07936b911b10698c", "b3a5281c78c2e3c2c81be9bcda82e26c8288ab2d", "75c2f90645a7f0482bda7953245a7612522079f7", "562f38ae7162a744b039393ccf9e018e98232149", "1d072f7e582eb4da849fc6b3b8046bc18494c628", "21d2e1e0cbe2a96b78628e0fb561c76144f68dc7", "4b043c3ae9a70b88161461f28655d0e01a3b4b9a", "97ef1f6e8ba6e81b9bef89a7b5e9bfe9e7d5198b", "283c5ae079097996e9971445eed9d253f74ff44a", "9cef13de7a459174c669c79f69319f34918ac9bd", "e018bbaa113c25664598492de4d864cebf2cbed0", "99365d2c007233aeaed97b930df0cbbc7a48abb4", "645960c89cff0e256d0f21f0228a18bab5a5a6e7", "183d6699887252650e1b37858c0da40a9a3458c4", "2c4574c7f42ac3e887670876a37ea6708a77966e", "6bc262b1b564a2766476d5be27199e7dff57f12b", "7de21ba20f53945adba1e429c9120f717f3cb751", "3c5604f546e3a461ae86512806363b0bc9dfb926"], "references": ["062185a33cf3e727e82671b5a8380f457a66ca1f", "e6043a0fc38d78be56ce39f7de04039e4e0573e9", "40bf5c774fd7da2a312cfac9dd8521cf89e11d52", "7063f78639f7620f081895a14eb5a55a3b7c6057", "167e1359943b96b9e92ee73db1df69a1f65d731d", "47dd6b9d9cedbe2526ad22a01ca4fea1025e07d1", "3ff59a0b4e242d3b3c1cc35fbe6c589cfcc61b43", "49a6ba0f8668e4da188017a45aec84c9336c7fe5", "bc7308a97ec2d3f7985d48671abe7a8942a5b9f8", "1532b1ceb90272770b9ad0cee8cd572164be658f"]}, "processed_text": "oca сборник мнение арабский язык"}
{"_id": "ee6b940d3ae36f9b124586b15a49cec45f24b90a", "text": "Встроенные в подложку волноводные фильтры с перекрестной связью и Улучшенной полосой заграждения", "metadata": {"authors": ["2236601", "1789462", "1966720", "39144859"], "year": 2012, "cited_by": ["a28547f1b1edbbf07b50b34f0cf47881d84777af", "ce5c33eeffd284161410ee2e6bd3f414d9d1aefb", "766351b8a19004a5a8d5b7025404bb149b2d9731", "ab3fc4f58d3b086aef5eb23db5cefb21a9c46c91", "a60004cee5dc2ef9698ef95914ebf38d67179b11", "ff71d2392e2bee0a20104a9ebb13587ad5d3cf20", "64cf43a4306b84dd29511fa68fef888aac23138a", "157c93283275d4618479351012fe7b8f1edf3b16", "be22a355c717969588759886868918c24f42fa42", "945a6c4e7a3f1fdf76d70a6c2fdb02ba46a12343", "b1093d0d667e3321c85a4c7ee62a4fb601305825", "b6edd3734a350cce1ce9c86d8dca9d6b39775968", "0f47772f625519262a9dbda94fb5b16e73edbe02", "172a4195550a03e9a8ba16c1771b514da97c6810", "f302a91718791d98d7f568e5d6925d5602e53878", "8f76578253ba5eb8a870a93296663f75f9ecfe49", "c69a04fcb04749069606c5bd2cda1da6f0b678ed", "99a3a50974446fa3ec0d83eb36fc2336e3a40d21", "d2886784999fb9ef8ab3bfc043af618fd56ce25b", "719a13a52e1ee0f644b6021b55f1df96295f843c", "6ef53315f305efea4a9dc047884c784f944ee753", "7bfca527f6f01ba36ca2d2b293e84f5d7d017e45", "509b2963f47345e604423bb7bacd88ee4fcdca6a", "7702cadec68a2f8e39ecf9d45ccef2775a17e3c3", "4e74cadb44acfe373940f0b151c41ef3a02b9b0c"], "references": ["aaf7be312dd3d22b032cbbf9530ad56bf8e7800b", "a5593e34fbd3d61ce5d6afee8e2f4fd0c52e812b", "eefb364424648a3498dcee451bf0af00463fab1a", "8826c2d5f7e6e5caf55faada406715f4bb720114", "06cc2bee9f333d2c0ce91261fb286946b543e9a0", "abd99c51d1f8784e1eee870737ecb44805b65e87", "9e7cb79737c650a182bb7d4a21ffd881be37a1f7", "f9caa828cc99bdfb1f42b255136d9c78ee9a1f1a", "f24a1af3bd8873920593786d81590d29520cfebc", "54797270f673a2efc9c4b86b5de3befa59b13bd2"]}, "processed_text": "встроить подложка волноводный фильтр перекрёстный связь улучшить полоса заграждение"}
{"_id": "2bd338ef8751b62d23e53fbb44d67042d634da2f", "text": "FastFlow: Высокоуровневая и эффективная потоковая передача на многоядерных процессорах", "metadata": {"authors": ["1690549", "1741506", "1739576", "1805776"], "year": 2011, "cited_by": ["b3b4482dee786cfb21d27e18f43c2a6e88e656fc", "56e988d723465b0b6a543192a4e02161398aa5f9", "1118ef8ab951b9cd6cb514d5d0f4333e2aeaeed3", "e0960d0cd7f7d3105d145de77cb069a2d530cd8d", "de539fe2cf8d681718a3a91c3aba8a61608b5d5f", "5aeab59092839cefbf7396a8b0a25908da90f53b", "73676d311d68e59597c50e43086dc0d50426fc9d", "eb483c52691062c4a6b712036cf8829d2d34cade", "c5a519e6646af292a65be8de80baf4aaf5c4ee18", "363452f8d68883657e33fd7d1df2460a4f29e17c", "c645aac3a1b126835b1d4fc1f93f537ccd69e019", "1d5520aecc2bb8eb3e30671f093bb84c7a00d01b", "79100abc4f27995624d721beb85adc60e414915c", "17ab89897fbe76b4be56e1858d97dbf0d7744789", "77dbece7f89af84258daf8006df87a03d93482bd", "eb28cca46d5408bb758c0cf1c1097d597fe760da", "a3f5a68c3ba54101a435a77bd6c9c11493ff7621", "15d8121602ca8ff1678d78e2ab1b9dfd026c528e", "d4f57d420a8b640a8a521ad252cdf86e4a52ecf6", "1e9eff5a467c21a1392454021c9973bc7bb72e09", "cabeaff1ba1d35f8fa3785c6e72a9ad92785826f", "9fe3a34c4979ea86a73444d6bfb066d96280d938", "62881f67a1bb6cefc98b9e3e986556ae6d815c6f", "f3b51e3ac97ecbf4980cd99b7dfa7f2ec8d2d097", "4e40910703e29a12e204657dc45fa2aa320ffbcf", "617925091a857c70a6e2eab2390f6373b5c7ebed", "639340067045ddf35a1f36901825783fbc2709b0", "119e4605828da3582f9c9215b79a184a7442451b", "99d35feebf98a38827d5557fa0da0bc424a3ff75", "e292926317476efb8e6d69cdc3e6b3ac8035e47a", "e884f9466bf926385331f5437797a40fc59e3607", "d99521365d3b450fe5cb3740e4855f2e25fa4816", "5fa2ea6f31668de912d37f6e6d61a431d15a0420", "78c52ed76f2e0819eb7f9d5279c63be92247d7c7", "46bbe18f59c47ff2c3a8760c51d576694cf7f81e", "e4dbcd957060ee480f426268e1fbeefe25ece187", "d2fe03f02567268ebfb15a54ad3861984546e57b", "f0fe2f2521e353dc5e187c8279e2782b8c58a166", "994a083889697fb5be33b3f35191cbd56a6a1949", "ea36386cd7b0469ba8837194134f34b0203d5572", "57d6eb4998a97102af93b90a09fd134107d5aa6d", "af1ebe461736e1d9847452beaa1c16a0c5b00b43", "0b5f5effcb5903a97fcdd46628e840fd7e82ba3b", "08d7b35154e3733fd33e7eb721dc2c21a875fd5f", "b74d6b08f7de48dab225c31683ce579683b226bf", "87c5cd33320a1c229d049df773639bff748d028f", "7157dab4cb7acc7147939f70d1d8d17420f88093", "85bf9b69f23163466f60b2be49559de3cfd86bc3", "4131c94f1d1a6a4dc1e0a9bf14238ebdd97e8ad3", "acf8b4c9ae73af6c9130ba5ad5ef4a3d35cf3866", "154823c5cf948bc01088e39ff21543e5a57e4e6a", "45bc1a23b9de202ddb59a05893803313b72c0a2e", "7d203ccca6ff401574dbb4c700cdd610b26fa39c", "f7588b4878966eb766a3fe56d65800fc7fb47eb3", "7b0ab866a003837404cb7b7058bab6e57c3cdccd", "c8fe57679b3dbe711b3a7825099277603abe32ab", "72aa2a01f2c3101787ffd12cc7e4eedd32ba5ee1", "b64e4d3be4d04f4c7a8d914171e252d29d339e26", "24462f8dc2ea0f0a99e798062fb39912ce888a26", "08248d3a9f024b94f13a847cd421d57cb6fb601c", "298e2b7036fbc745e555b0e16d4298f27cd6d82b", "dd7d75c4241371a709264ae59092f29ae92e7b15", "2a97144b7a957ab90ce8de6c71d2af806948e0a4", "b9f352b7110f13edd9b6897e27e75f569fefa41c", "3e8eb090aa01772bd2aaba70b1e34484f717ef21", "230bb35cda12bea4fbffb8e12d4ece1c183f8342", "d529e05ffed55a60f3a2a9c8e8cd2113684d7847", "80f6a46c0e208333cebfd3ac91dfb637e03bebd0", "c4bf3e82d4e2f600c909b396a31c34edbea85d3e", "eb87820a0a3b774875b7bc57ee44dae6f0acf932", "8ea7ee81210afdb230f0c98314a91676269929a2", "99c2cc8bc289a74164ec8ed299a74f43756b81c4", "1a6b72186380c4ca93af6fc1248a892152a81aaf", "9cad16b6c92789b5646c7ac6e0ef4d729626baf1", "1ecdaf3a9bbdb76b5c92bcdf189c985518b0b3f3", "939d41541f63abe0de0ca511fca91c9bb5705a51", "995f6aa02131176e94cfc53667ba1ee2dd40071d", "87c3bb0afc3a0b61113220a5c1132273bd57f8f3", "0e600c458eb390e8f499db1ced6495c60b423d5e", "62a7519246baab564f168ee669f6e080cd3aa318", "1fd7b548db79926a11682c4f0b69d9fed3784cc2", "a666db8b54e8001bfcd1c6fe1bcecee9c2d7e330", "042fa5f58ade0b4286cc610209ef512ec18f6b05", "d86db88268c37938565646f3fd09db921f1574f0", "6fe007fdfba172721249c90614ba6c48186ac304", "ade7bec227c08ac9184e50b5963839fbacc1e8d9", "1c8b9fb8c5b9f7131ab4d8f7cb63ef0577e72bc7", "e4fe3ba1eee697362efe66ad2727fd59f905586b", "d94a70d042accfed211e9f58590a9135969ae4d8", "1de3d8db9a12e1f1548a9852c6c3fa685c781d2e", "85527bc28e2ab10e743688ca25b9aef51427a657", "6b4888fe8d28a62dff75fcaad337614623dfe332", "73e3e3457db8f9a3bd4d229afee582aff61143ad"], "references": ["0a923b3f75fccd8b1f8628b62d6ebff3614eea60", "e6638cac75bbd4be0de74f23026786d11520c368", "045a975c1753724b3a0780673ee92b37b9827be6", "0541d5338adc48276b3b8cd3a141d799e2d40150", "24e1f31d01d6b798d0dc20faf243941cc375f1b7", "bfdb5614350f561acf9b8ec11c1ad76e008c4c21", "2032be0818be583f159cc75f2022ed78222fb772", "670e46907f047b5969fb312f9da3743616570588", "7c3a4b84214561d8a6e4963bbb85a17a5b1e003a", "1b4fc4ad2f31ad7157847100a2efbfd0d251c994"]}, "processed_text": "fastflow высокоуровневый эффективный потоковый передача многоядерный процессор"}
{"_id": "ddbb6e0913ac127004be73e2d4097513a8f02d37", "text": "Распознавание лиц с использованием слияния областей квантованного цвета кожи и анализа вейвлет-пакетов", "metadata": {"authors": ["34798028", "2441655"], "year": 1999, "cited_by": ["d1764e7cc0786d96bdf64ae51f82a9995333a737", "887567782cb859ecd339693589056903b0071353", "ffa70cc5f2df706001388218ba2821f8a53aa7d2", "2907e73116a1d025f45710c0e317a156fddd8b35", "bd29ac333b1e73f17d9ced56decb85acbf1db5a3", "26ef54b182fe25e87622a2e846024c8d637c8b33", "a9b697da6ae5b11a3169d5c69024b2bb005701e8", "dd013030b3e5447ba82b4312cfc840a2ff3c0afa", "8575a4708f7e6936f945c8c51fb71954921b7d43", "e66d15f033e1833d4b7c9491a2702a3ab9ff2559", "2d03a8361db82fd7b1401c1977de8c7e62b418e8", "34e1bc1ecc1bdea7fc1c29c32b562c7be18b1357", "11939b7307cc2e9529bda0f778dc539df7910ad3", "b1c6f513e347ed9fbf508bd67f763407fa6d5ec6", "ed9cc81d10cf671a756cb198eb9a40925e7d92f3", "1c49846d03a20ec426ab0f98656b16da1418b7a1", "7efc8792f13b9ab7d145303f194609a003a265b7", 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{"_id": "d6b56cc6e05300426b6194dd3f6a38720678827e", "text": "Перенаправленное хождение в виртуальной реальности", "metadata": {"authors": ["3394498", "1740244"], "year": 2018, "cited_by": ["aee4bc0f5377f3dce509374be0e55e6c5f0ba956", "0eb79e1df5d20be7efa6c599e94418999b18bce9", "3a9ca12331d2dedbbe76e1b22d6bbb23d763aa39", "066f45387928e65837877b95d2cb106060a0b6f4"], "references": ["bd75508d29a69fbf3bf1454c06554e6850d76bd5", "9bcbfa33ca5ecc17a20cf7d2ed1d1e5b4e260989", "763be3e070945072a1b15ade42e31fa72d88ccae", "d5a028fac4e424b89ee85b08650d980f71e5cd38", "eaccc4dd52c6081344f9ffac286687a46070a641", "e352612f51ad34c764f128cc62e91b51fe7a9759", "7ac21358485ec19d2783bfe3b4dc981593c9a0e8", "38b7718bc3e06e982fd0297ae4ad6afe9883796e", "7cbed0c28644c7caa7664338f5170169c90574d3", "726b8d794079b66887160c253894ff5595f4c107"]}, "processed_text": "перенаправить хождение виртуальный реальность"}
{"_id": "df39e24c3cc21dc4c79995ec2b424a37dac999c7", "text": "Защитная дистилляция не является надежной по отношению к примерам противостояния", "metadata": {"authors": ["2483738", "4019963"], "year": 2016, "cited_by": ["5c31ff945ef663b491eedd06fc2b2232adc1d2e2", "11c012eda3e660cb79639c2764d98c525f5e6ceb", "567f01807f24abcc168c58b05b4c1659387f474f", "ebab687cd1be7d25392c11f89fce6a63bef7219d", "e56e27462286f39d518677bf3c930c9b21714778", "d542c5caabd166bfdd23a70a6d5f5a691e28b0e5", "7aa38b85fa8cba64d6a4010543f6695dbf5f1386", "3a8508d22c608edaad342680b723d9b5de9baa20", "0fef8962c284abe796082239b5a12f08fe9827be", "a06630f2309f18b14dd2ec8a6a3ab78fccd3a05b", "0fa6868bcb7d1bd38c8975f4b1aac765b4c6d81d", "076a5804ebafb492bb042f2a8880e286ce10e4fc", "b850d746e917070d0aedc95537aa092a70c34050", "bbb13a095d7c75ccc80edd5de3a96392aa0dad8a", "55e2da70b6082a4673e0c919d797a5de49b0e25b", "f9a378543a8e3f6312152ebd3e6804c14be6d891", "963829967f85abaffb14ce2c6138c0ac6b221b13", "dd215b777c1c251b61ebee99592250f44073d4c0", "6130dd598e39908c88f106ede39229b5b6cfd81f", "3def8b383818ab412e26fad92723c051c67f55e6", "4a8c332b09bb99333a8bce6a4640a20c1352aa63", "49956bdcfb55d8b42c696a743843f2a1e232d739", "1a4891efb95eaf606f9c31920b9d80064c46ae10", "95c84ea05c74fedebdb040f5c274564f582015cd", "68f19305dc83d9f70031b6febf5b6b66cf3347c2", "8067d5d3fc80abb010b239bbe012b50bae8e6611", "67fd7024cf1591fcd03a7b5d521178719ad84034", "262db57c27f5d7fe072c45c8025afb8cf0388057", "57c52c98730c26290b2044ad45924e58cb2fb5cf", "4a8d97172382144b9906e2cec69d3decb4188fb7", "f33c427dc152c20537d2857bee1dda2287e85860", "1c3be8e81046b16ca9fca4bbe8989b6f687b9d9a", "a6230c8fc79d450130d1b2a1cdb18dcb436ebda5", "8f1dc314680ab0e2b780c093546395b499bb2b67", "b3b610e204e174d134060317427c882964f48ed6", "85956f6431543d1bf62bb5d5143de4348f14a95c", "1b225474e7a5794f98cdfbde8b12ccbc56799409", "199a96074459c9188703299c2dc089577c636a6d", "2771af7cfc0e54377864d3996eaa184e27dd5434", "5c00e997af99d552ed6baff87324d7f14cba3285", "a76b92f17593358d21c8dd9d1c058b7658086123", "3a606480406886742572a956e221e986c65d94c1", "ae40e2aa43a7cd56eabe07929bfb706ae7738375", "f306ad0c635bf84b88ccf2c72a208bb43b090c08", "769da7360c0c9c199645d9523ec576ad576ea4b3", "0282c21ffa0c38b57a1b2498aa9849b38b41c929", "96f8944b3390880980fe5ce305e18cd7c93c6d85", "72ec9ad261793d5021ca6b152453bba980130022", "13afff7af3a56163fdaa1a2449e5e06ae21137ad", "fb971f890f3987cd66ac3d06014cf4addbc1fe04", "5b8013f4425b6b889a514e95fe6355a83c64d1ea", "ac8e45a0451ac578f17f631fc2663ee4b98b83a9", "54204e28af73c7aca073835a14afcc5d8f52a515", "85889dd93ee184868f1da5d34dc5722865af9f15", "4535ecaf37ffc80ef4fe05561c034880388343d0", "6effa092456e30e7e54954fd28b755e0a75b52b8", "6ede8b02b817a1354b8bde1ab7af07b0ddb02acf", "4289d25713d01a3e2efb593a236e831a9c9e5bef", "9769241de01eba6627dc0e2d90914ef6f13855aa", "638b7157cfff9937f0b98f631755cc05bda245d5", "be94fe9f2414639cd3f6cef0fdeafd4a10d1b2e5", "565ef4dd6af013f4ef286eb07b9a141abd052310", "4ad844a1e1e8e785d1c3d0a961434c1930d4f5c4", "01afee2fc478e2c3c5610715f82ec6821d22efe0", "72c78283254716520a2eb8dadc5a51a6ecea3488", "e39b25f02d450562a8bd532f8ab18aac41264ebc", "9512857bf71969944a0b5387c6fad05e6170637e", "bd025dba84f78e3f569e3d62807e7f93e7f23a4f", "7c9a8566b4585d8c8a983f2846100f318d553c1a", "f71de6e2239287d9c800c16532167f313e81cd01", "db49a4e3f68cdbf33fc4394435c6f685956c3c72", "1c16dd87e39472f94c8510ddc7d6954dc6981bcd", "114c1ed1ae2e2a4b3d775c5a55d2c916f9d85972", "83a78fce7d0d9c23c659cb9852d2d85066ffa487", "c5285323f3b4dd5f099dbabd73d86b9e0c13f04f", "29373e067d44e9668aeb402a6ea4338db0ac99b7", "e17e38efc2f21b6cf1ce3b424a3a672fe33b5d37", "d333881628cac38cb63ff8240950f3561308d34b", "48596373f2f8065fb07ee06b5e51c6d4f7b493fc"], "references": ["38418928d6d842fe6edadc809f384278d793d610", "5c3785bc4dc07d7e77deef7e90973bdeeea760a5", "49e77b981a0813460e2da2760ff72c522ae49871", "83bfdd6a2b28106b9fb66e52832c45f08b828541", "cbcd9f32b526397f88d18163875d04255e72137f", "dc52d1ede1b90bf9d296bc5b34c9310b7eaa99a2"]}, "processed_text": "защитный дистилляция являться надёжный отношение пример противостояние"}
{"_id": "74bd4761b373447079c6e5cd31832c00fab2fa77", "text": "Десять простых правил разработки программного обеспечения, пригодного для использования в вычислительной биологии", "metadata": {"authors": ["1749542", "48069151", "10794465"], "year": 2017, "cited_by": ["fb719e2419ed33f9f8e7f6b56884bf7502aaa710", "7045b848ce2c64e60a9b25a1ae6572e1b0aa6bc6", "593ca5297c6461eb93ec6bfaf64bb9acd9622045", "245685998c0816664d902de5d46986b7da55876d", "e1bb61ace2a70fea7a39c22bdea5c0864ac1cfeb", "c60e7683faaa07fcb69beec20fa31818419ceab1", "906aff5969ad3dd58c1bf23109f8a38056de5b76", "795586ef71f4d5b0a917d425e5b7eb284a0aa5c5", "77b442721496c0b909af0ddcd1ee252dbc572959", "a466b2a323098d5797aee82dadbf265c59236558", "6184a3ddd6e3413638832e12332d12d68970c11c", "0cab93992ea61e048c6802f18493b100793eafbb"], "references": ["97a40b5b09a7c49ac58ed6e7490cfa089a35db82", "fbefba9de2a6b8a0756d6adda4b0b69ab3126469", "6487a4a206ed8d4a5fa90d935eff814f6e472b0b", "43e07d0143ee8458c9de0ee69969f8e2b56f7b80", "f919bc88b746d7a420b6364142e0ac13aa80de44", "1cc539b52d5cf7f232189fc3e007e570b2677a73", "65bc09f93c6be2648dd12b271b9315b94ba3fd7f", "1ebe9b851479a6e16b8d97943898a74e011c803c", "dda22bbd8e22e50f9c827bf1b1f34b66be17a5eb", "52d82819cb5da3a89b3196b07f9c4bc348539edb"]}, "processed_text": "десять простой правило разработка программный обеспечение пригодный использование вычислительный биология"}
{"_id": "ddbf21ca1de9617894b15d45787a27557f02a494", "text": "Двухуровневая кластеризация сообщений для определения тем в Twitter", "metadata": {"authors": ["1688621", "2127032", "1715604"], "year": 2014, "cited_by": ["2566d21c6d5adc23919e0fd0dd4bd64902a90b1f", "db18899c2fe5b7c4d156c843825005b4c43f32a6", "a9ee480174e71653714f33eb828985fae7517415", "bd08b79394689bcb93bf262fbbb89ef74b3e5997", "771aaaf99bb72254632bd3ce12e0aa975d2eab2d", "92f2c4f5583f0b58799f4834bc2808ee785e27f1", "c951df3db2e0c515bdbdf681137cf6705ef61c0d", "e5d3bdec924f12977f026658410b91ce58cd1e2a", "b1818d61669344ecb9c2b247090c186f0bc62b68", "9285b95f6021f3882fa7690352dcf8442d25e9a2", "08b9fd9e504d566995eb776fe9ff100c4736f09c", "e3ca3c2e57d4ff891d8ed9dee5e09a587d15b8b6", "1b0e719f3455bc50b2d4ac881f2aa4475e8d8fde", "e1c4fa3554f7eaaa3942b58d51ffc25c1463011f", "10c09df88eef1da20181c215f14503992f77ff55"], "references": ["611c2c20f6566946694d832e58bfd7b7cb58b66e", "d582d6d459601eabeac24f4bb4231c3e93882259", "1e56ed3d2c855f848ffd91baa90f661772a279e1", "4995fbc1375cd608ebecf982eabe7aeb3ec913c5", "3531e0eb9ec8a6ac786146c71ead7f8d624fd2ca", "7314be5cd836c8f06bd1ecab565b00b65259eac6", "c951df3db2e0c515bdbdf681137cf6705ef61c0d"]}, "processed_text": "двухуровневый кластеризация сообщение определение twitter"}
{"_id": "f754cab548f2c209ea7d932084ef768b92b27614", "text": "Система ориентирования внутри помещений, основанная на цифровых знаках", "metadata": {"authors": ["50571578", "2912377", "1709503"], "year": 2007, "cited_by": [], "references": ["181be4b4cb93c88ec9b867d19e0b0e2f68506c43", "00ad68964f1a5529cf82dee8b65e54a0d036132d", "1eb9816a331288c657b0899cb20a1a073c3c7314", "183c59c689e52444e1d16fb8f2ba87b1e7f571b6", "90aac67f7bbb5bccbb101dc637825897df8fab91", "ffa675ad9d6b1f1ac6d37d05d24fd1d477cd8438", "15e72433bed1f8cb79ab3282458b3b9038475da2", "9d49388512688e55ea1a882a210552653e8afd61"]}, "processed_text": "система ориентирование внутри помещение основать цифровой знак"}
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{"_id": "8bb3a478db8951f42198a885d7245d58036ba55c", "text": "Применение универсальных схем для расширения предметно-ориентированной онтологии", "metadata": {"authors": ["1727784", "3458858", "49347744", "49195712", "3502054"], "year": 2016, "cited_by": ["f92722df01e2143ee8addd6ab4673b934079890d", "07694e93a505121a00add75297286dd6ae05194a", "8f5e2331fc45965787c4987d944c95cad7c536a0", "b2e31539f68c2c278f507fd6ff8da0d75ac67157", "30fabfa4999349f6fbb4ee00a9ecfdcc0f976ebc", "47cbfd83e96bea0572f5c036f4eac0b01086e2a7"], "references": ["b6b6d2504fd57d27a0467654fa62169cc7dedbdd", "14b3cb56a90b42bd6d6c611c22bf32aaec1d9744", "478b4a5123bd5fda98bb35e6317d7f3555fec97d", "18dd22835af007c736bbf4f5cdb7a54ff685aff7", "24281c886cd9339fe2fc5881faf5ed72b731a03e", "de9c6cdd84e91849af86cf8280fdc84fa3bdb7df", "563488f765f6fcff3f7b9d8f0892a2f6ef506b31", "0796f6cd7f0403a854d67d525e9b32af3b277331", "507da9473d1b7cf69357e9d987b71cf7b5623b4d"]}, "processed_text": "применение универсальный схема расширение предметно ориентировать онтология"}
{"_id": "9e76a700f03ef476b964b27e23c071163e44c232", "text": "Снижение THD в многоуровневом инверторе с диодной фиксацией, использующем технологию SPWM", "metadata": {"authors": [], "year": 2013, "cited_by": ["1fc68059a0d3ef529a58d11fea5e25d37570bc72", "c2129fc94889fe4b2a9a337d2a88017ff7d12dee"], "references": ["ff5c193fd7142b3f426baf997b43937eca1bbbad", "b995503f836839a40e373c56022d6cf0bf2dd3a3", "d8578e3dcb1afae5d0237f07076b7fdf1d3c17fb", "74ec3d4cbb22453ce1d128c42ea66d2bdced64d6", "e68a6132f5536aad264ba62052005d0eca3356d5", "ead13b772059ec65b5cf7b4b61886ba8ca4620a4", "7debf9aa3f0d62782e5ec1c684fc4f2a23f5b7ed"]}, "processed_text": "снижение thd многоуровневый инвертор диодный фиксация использовать технология spwm"}
{"_id": "43da9037d50745002195abb864243ecc75d4b040", "text": "Возможности проектирования носимых устройств для обучения лазанию", "metadata": {"authors": ["1806051", "2311495", "34919047", "1775912"], "year": 2016, "cited_by": ["a713337a48d89531b96fdcb70e5e12f4e91c22a0", "5c6cb74e557da17738be4325653b7b7985aeb61a"], "references": ["016c5746bc926d7c5aefc6eda182b0d19878b013", "66aef96c873efb3db99e122a9a89b7850fb0701e", "9deb5ff9bfdda3a552e447aaa7bef07df3b38709", "c8958d1d8e6a59127e6277626b18e7b7556f5d31", "2498a1ad725ceb3e444f22fb741edae3a83d4278", "8d5eec287b70385d5a0836dca1c039c5d33d49d5", "79c9e0361a0650989b3a445a00fe75dd601f3fc9", "8afe7d61e13ad7f096429716f94ff33ac5c59b2f", "c6419ccf4340832b6a23217674ca1a051a3a1416", "034a800c5838a5fbb800cbdbf6029f5987f682d2"]}, "processed_text": "возможность проектирование носить устройство обучение лазание"}
{"_id": "b21951a276dd940e052676b06e193f65fdc297f9", "text": "Объем сигнального трафика, поступающего в сотовые сети с мобильных телефонов", "metadata": {"authors": ["31325517", "2942980"], "year": 2017, "cited_by": [], "references": ["1d940e5b26f56ec93d91d6d61a29f88c5e61507e", "098cc8b16697307a241658d69c213954ede76d59", "59298e526c73fd2b3fd5e57d4102c9a6412f37c8", "bc94adfd6951a80be1bee75de01bc2144b724632", "62f1450b13356fcf02fc688add3bf8336d0d1d52", "1059ddf713948741edce92ece1debcef0d78e98a", "225a3d536126074c4bfb4d62ed3584f8ac9e9a23", "036277d492dd5777e87e5b33ffd809e5c617a37a", "a748026c07157cc7f2fc0268b94fa8cf0900bd2f", "9f45425c584de8a0ee381e8f1cbd9e2dd5cfff0c"]}, "processed_text": "объём сигнальный трафик поступать сотовый сеть мобильный телефон"}
{"_id": "b9d502d98e3bb19f8179a4363e3f28c6b6def7a8", "text": "Онлайн-технология PPGI для мониторинга сердечного ритма на основе камеры с использованием детектирования \"биение сердца в такт\"", "metadata": {"authors": ["10172662", "1708069", "10163592", "3295018"], "year": 2017, "cited_by": ["35b8b3ccecfd9493d88b5e0f2729c7736f146cba", "a56ff4a51d07bfb922a3340600a585d7e69a32ec", "d55ff449121bab016ae3b6e237d131d1f656fd7a", "a9fb62cc0ef607d36305b0e39741db7891678c1f", "5414e91e5f23136c028af1cd979887ad26f1e75b"], "references": ["e22d7d195b7be9f79a90953f2b0ee6744ed9c473", "10545d2abcd0ecaa32f3bd59cee048c57ab20367", "a7c2cf9bcda344787ac6acbca38f3077dc0d0e71", "fab1c1c993874f9e77d6541bac5d16d232e4285a", "db6a6120100887bf50ccbe271f106fc4985a61ef", "4ed1756a4707c2495222d7d69bc1a94c75872c9c", "3897090008776b124ff299f135fdbf0cc3aa06d4", "ec241c7b314b472ac0d58060f5bc09b791ba6017", "3bbfba2cce2b3a05d17a8f90890c61c7f852a0b5", "8637f042e3d2a2d45de41566b4203646987a8424"]}, "processed_text": "онлайн технология ppgi мониторинг сердечный ритм основа камера использование детектирование биение сердце такт"}
{"_id": "399acab2bee6eccbfffe4a2ce688b6b1075e9c5e", "text": "Eyeriss: пространственная архитектура для энергоэффективного потока данных для сверточных нейронных сетей", "metadata": {"authors": ["49069271", "47343478", "1691305"], "year": 2016, "cited_by": [], "references": ["0b995806c1b5fa047e7dd5a657a9c887feee4a5b", "233b1774f28c9972df2dfcf20dfbb0df45792bd0", "15ab4f60005ea42d5e57f365a478b28b92ea2238", "2ffc74bec88d8762a613256589891ff323123e99", "a538b05ebb01a40323997629e171c91aa28b8e2f", "0af89f7184163337558ba3617101aeec5c7f7169", "07f3b8cfd59624acf80e16794bd3f2bc69acd8e7", "1d827e24143e5fdfe709d33b7b13a9a24d402efd", "19a9649da2ea2a0ae0bf94883c630d78a4673e98", "061356704ec86334dbbc073985375fe13cd39088"]}, "processed_text": "eyeriss пространственный архитектура энергоэффективный поток данные сверточный нейронный сеть"}
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{"_id": "a704f6eca77b9bcf63e2d533ae6d6180785decf7", "text": "Регулирование скорости приводов двигателей постоянного тока с понижающим преобразователем", "metadata": {"authors": ["17687637", "9182603", "9223822"], "year": 2017, "cited_by": [], "references": ["693b5b042b26cc7ed7206a1f20aa4161393a145e", "bba5386f9210f2996d403f09224926d860c763d7", "d8ca9a094f56e3fe542269ea272b46f5e46bdd99", "15bdf3f1412cd762c40ad41dee5485de38ab0120", "4b35f6cace13f4269641ae35585b013504c4cc84", "2d78fbe680b4501b0c21fbd49eb7652592cf077d"]}, "processed_text": "регулирование скорость привод двигатель постоянный ток понижать преобразователь"}
{"_id": "67f9f2cf408b2cc593a9ddb17d74d2b3f72ee225", "text": "Моделирование композиционности с помощью мультипликативных рекуррентных нейронных сетей", "metadata": {"authors": ["2329943", "1748501"], "year": 2015, "cited_by": ["eadca68d47a80db9ceef641fb99391aec942225b", "269e673ddfb627f26ace74a4b7a790dcf9f909df", "270e65acc071b9e4e2a632720130c0e10cb6fa08", "a79aebf1d5fa576d73fdb6179796c04268688c59", "4f550ffc7777105a174d09136afdc5a7a9923eaa", "33195c732bd30546064a58040e34ec783648373c", "a3dd5bfbf5ecb3a76db991d0d793388818ddb4d6", "d5c7a945aef5b2ef179d4764350021487ad9f216", "a90282db2928e787492e938fd9e4c48dbf2ad8f4", "f15a82daaffcc2472bc138e9ca2bd78be9a7c105", "110acad4b4dd69abb8d1bd90168159a2e36f0eec", "345bbe8245506e0aef4ee97874169e0cad6024a2", "9f4ea01b8dcf864fd27b99a46dae088dd2d027fb", "e75f3235dc8cfdf33feefb67062ef93aa0955a3c", "538d9235d0af4d02f45d17c9663e98afdf8ae4f9", "04e1511d47fc03e7b77943c472af1376568a730e", "19824fa8bc5522f758b5c9f433fe73da9e02268b"], "references": ["4eb943bf999ce49e5ebb629d7d0ffee44becff94", "303b0b6e6812c60944a4ac9914222ac28b0813a2", "a8ddcabf410b5691cd73880df2ee4b83a9799a5d", "27e38351e48fe4b7da2775bf94341738bc4da07e", "02b06216792c921f93a63336884b59aeff29f373", "1c6c54ecde7f62ed9516a96e71a5f612ffa3c8ca", "0a10d64beb0931efdc24a28edaa91d539194b2e2", "1a07186bc10592f0330655519ad91652125cd907", "745d86adca56ec50761591733e157f84cfb19671", "23694a80bf1b9b38215be3e23068dd75296bc90f"]}, "processed_text": "моделирование композиционность помощь мультипликативный рекуррентный нейронный сеть"}
{"_id": "60184fecc57b51fd4f312b77e3817af18643ef8e", "text": "Оптимизированная по мощности конструкция переключателя уровня напряжения для высокоскоростного двойного питания", "metadata": {"authors": [], "year": 2017, "cited_by": [], "references": ["8900adf0a63fe9a99c2026a897cfcfd2aaf89476", "c99459f5de069cda687b914383ad0f85bd17fa65", "f3f424d35655d0e9547827d9dac61cc4d779bc0a", "d9b44c9d7d080ef4fb3678d469e9474e2da559b1", "23620b246681f5f7299506b67d0458ee7e5e1188", "cace7912089d586e0acebb4a66329f60d3f1cd09", "e74923f05c05a603356c4e88a5bcc1d743aedeb5", "e52c199d4f9f815087fb72702428cd3c7bb9d9ff"]}, "processed_text": "оптимизировать мощность конструкция переключатель уровень напряжение высокоскоростной двойной питание"}
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{"_id": "f14069aaa8b234dfafd3292863c0e610288fbc80", "text": "Многомасштабные многополосные плотностные сетки для разделения источников звука", "metadata": {"authors": ["47893464", "2744777"], "year": 2017, "cited_by": ["fb3ea6748ea85c6a0e735fb2f5125fa2f591da33", "ddc3e40664100cead1e18cf7cb21a7a31ace1683", "f1026c2333485070e2f02edb5c7e55076ca91b35", "36a77ad6e52e7a4493b673c0fd5eea8a9c135e98", "a03ddc7b1d5afd911320b74f8df9638fb8e142aa", "7cfef8e06ee3d23032cf2debd8b6897a8eae8e43", "797f76c1dfacaaf6e7b6923ac7af7c7803750868", "35bd966133a452aa2c794d67e5711b05cb1fa9a9", "ede82291e5a8de6ee8d85a83d573ddbd298c62c5", "fa9ea12166e4a81262fba4d8643dca0ce737ceaa", "4ec712c1b6ad7fe24f8a05ac3f7938119c479335", "bf4b3ddef37a4f79c89b288793e892fc0aef00ca", "c4ad0de212cfddede68bc212926753b71f5f9b32", "705c5276fa6fda48c1fc2ec6f1b739d029c87e55"], "references": ["02227c94dd41fe0b439e050d377b0beb5d427cda", "24b363d5cef662ead2ee702de697fd4797a6aa1f", "29de8281b8cbc764d605a20d00b818eba6d47da1", "c4ac19b2ebb04d130042d699090bdea32f5d358e", "83174a52f38c80427e237446ccda79e2a9170742", "2d8e316a0f30a8b5f8d58862b5276bb2183277b8", "022445789bcb6be5cd6ce046442e7456d7117bcb", "0f32af111b3f65e8779340e762e6dcf040387dd4", "0c2c145ce3b324f45c4eb75affe17ca6301926f4", "74b6a0ced7365327db91515dfa539a314832b066"]}, "processed_text": "многомасштабный многополосный плотностный сетка разделение источник звук"}
{"_id": "72cf3347ff06226e57214b49801de9fc02df8d52", "text": "Персонализированные рекомендации для получения информации в социальных сетях: Личные предпочтения и тенденции сообщества, основанные на местоположении", "metadata": {"authors": ["3230171", "23708140", "1691015"], "year": 2017, "cited_by": ["3f87a22c93fe79b98406f8abd1e15591ea42604c", "cf8e192f42cb2b51bc7b72a1322c95b3f8e72042"], "references": ["f44e0b5372a4fb1d8e1b15ca9e9cab7b4d65dd94", "ca72ac6eec8a80f3a9feedfca758bcda86726d4a", "39282ff070f62ceeaa6495815098cbac8411101f", "49ce2384920e5f392fbbd0a637e6738302f1820d", "496d47f6924382aee6658cb8260e3a4b09ae3f9e", "3c2eb15370d0b102ed185e859491b1daa44c2040", "21968ae000669eb4cf03718a0d97e23a6bf75926", "0f02362836413542eef22f94a58315a5432f402c", "801736026e189dce69204b14b23e6e6cfc79dc5e", "24986435c73066aaea0b21066db4539270106bee"]}, "processed_text": "персонализировать рекомендация получение информация социальный сеть личный предпочтение тенденция сообщество основать местоположение"}
{"_id": "f824f0f5e28e434e1b5897153697816dd906ca8e", "text": "Планирование маршрута с помощью алгоритма PSO в сложных средах", "metadata": {"authors": [], "year": 2016, "cited_by": ["82266f47c3673a6607d858faa04b75074d002df6"], "references": ["3593e7dec6fb2ad6223c3d29c61a2b70d30eeece", "26880494f79ae1e35ffee7f055cb0ad5693060c2", "321e868c86d2a3c86003ac7aebe374c1eab25b81", "88a3658cb567525f056568129e812ae715ecedf9", "18fde185bca01d5e90d36e1bead45e1fd0e7b894", "d5844250670a303d1f3ca39f5b1ce54d8c21fe1a", "21baf59892881bbb3ff598b0c5346993673dd28f", "2ca1fed0a117e9cccaad3f6bab5f4bed7b79a82c", "986ddc0d307bad96f55d947ed79422543349ab13", "89c0f30d241ef0d954bac169bd76abfe1ce32231"]}, "processed_text": "планирование маршрут помощь алгоритм pso сложный среда"}
{"_id": "39dba6f22d72853561a4ed684be265e179a39e4f", "text": "Последовательное обучение с помощью нейронных сетей", "metadata": {"authors": ["1701686", "1689108", "2827616"], "year": 2014, "cited_by": ["3f98501810131bce2659c08fa17bea1687f8f35e", "9f8aa7bb2859e6171bfa74e012c0dfc1c1bd4175", "fdac64581198071f523f7a5fa4fb6a0b5518c24d", "7f2b4799b5a2914130daffc0036dcc6822d0f2cf", "61b60d34114cde176455448f07264bbcd0eb4692", "ef46289e4417c7a6a9e451cebc6f9d09c8b5c29e", "49c512fbaf97bff90994248d93ba5b8cab30359e", "e002f5cddd1023a975416cbdeda82238c4167666", "6870e17b082e0610477c373b910a6eab66c7102e", "2b7330818a230992d67d09adf42f71f4de475ec8", "39d78319db0f6c7f191ba13b095d85ba187b9e11", "98c8b2dc13d3d93e0306694a8aa5a2637ca72dea", "06f136fb5a0eb4f43968facdae4dd364968707dd", "9877a4b41ec80e8db7b1b3b8fa87b95d94179713", "84c88002c79d337df775e9994f263c265b6f986a", "114b2d2e961499d950b73a2712fcc5f6f6a21c78", "e8b190728064747f58cc580c7771fe8f4ad8a220", "e8f7e63ef52e6c19a0933cf7d920fcc2ad60eab7", 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{"_id": "b42003018aef3d104271710690c4d662ab01571a", "text": "Теория декартовых кубических вычислений: Конструктивные рассуждения с путями и равенствами", "metadata": {"authors": ["2048578", "3449328", "33486652"], "year": 2018, "cited_by": ["9e2fe8cc8d191184b6d8192acaf904f177733803", "b00d2790c1de04096021f19a10a58402bcee2fc4", "64f0277cd7edee14ffedb4ed73eb2247f93152b2"], "references": ["20a749fd1cf5755e56521770751554379abd27d2", "b00d2790c1de04096021f19a10a58402bcee2fc4", "3c8774dce59051d158348a9525597c44be32d369", "a04489e02caf3d7f3bd20a4224246b813b87d19a", "8d081c29a7ef0b0ebc9d3d07096289db3251a883", "21fb764cf3cb33fc1b48f433a432c1b66b987475", "37fa35e480eef55c841e20c5652a293e23a0c5c9", "65efdc77b5c05237fe103efd3753a9b6738467db", "3a9810bd76a832e38fe187c8e92e7d0d17b29a0f", "87708f9d0168776227ad537e65c2fc45774e6fa4"]}, "processed_text": "теория декартов кубический вычисление конструктивный рассуждение путь равенство"}
{"_id": "fd4677e1b2cd0cba66ab4a64cbd1fe015d3a742b", "text": "Появление разговорных агентов, ориентированных на эмоции: угрозы, связанные с цифровыми эмоциями", "metadata": {"authors": ["40977598", "50310732", "1730588"], "year": 2018, "cited_by": ["fc378556ba1d6fa8beec1cac38f0c141e73eeecc"], "references": ["81a809b9b5ac940778fe2c7c9fe6df262fec927a", "010d1631433bb22a9261fba477b6e6f5a0d722b8", "488d861cd5122ae7e4ac89ff082b159c4889870c", "2c0e1b5db1b6851d95a765a2264bb77f19ee04e1", "8f0b91562ce0db069e6e78bf820d7a7810d8816a", "8ad40d0ba31ebebb401b0f9f328ce92ac8383b99", "34e2cb7a4fef0651fb5c0a120c8e70ebab9f0749", "5eb2a1e6bcd22f97373c38afda9556f27670d680", "e6110444b492accc811291c8954b1f4cf5d349d9", "85315b64a4c73cb86f156ef5b0a085d6ebc8a65d"]}, "processed_text": "появление разговорный агент ориентировать эмоция угроза связанный цифровой эмоция"}
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{"_id": "b3c8eeed23cc8b472ceefe64888a2036dd7df4d2", "text": "Обращаем внимание на описания, создаваемые моделями субтитров к изображениям", "metadata": {"authors": ["32634334", "38314306", "3177797", "1708642"], "year": 2017, "cited_by": ["09636efc017110b53453aafa7f88d4e1acf6c447", "7e27d44e3fac723ccb703e0a83b22711bd42efe8", "cb4fc4d49783f2049c48a062169f04eb744443ec", "2ce9fd151c7e67581dfa85b662f5034aca1896e6", "da8f9211ea60755bb40811bb92de76be389566c6", "d86ad6265ac6e5555d55f6fe677f6e34bceca67a", "db7e48d2655521c1a89b579d8cb839a95d6e6a14", "9425b4f208a15283320f12c4012c6593e28ef839", "fe400b814cfea5538887c92040f1ab0d6fb45bfe"], "references": ["7d32a792705fde0c6759af3d15f257bef8b5b61b", "0da75bded3ae15e255f5bd376960cfeffa173b4e", "e85a71c8cae795a1b2052a697d5e8182cc8c0655", "77225a59387d48bff1e06d0eda6e1480023bb49e", "a2c2999b134ba376c5ba3b610900a8d07722ccb3", "0c3b4d51d5e64d27439b022c742abe63325ed771", "ab116cf4e1d5ed947f4d762518738305e3a0ab74", "10039cf9fb5d36638a2f86d653de631bc0c13e78", "a0e03c5b647438299c79c71458e6b1776082a37b", "5e0f8c355a37a5a89351c02f174e7a5ddcb98683"]}, "processed_text": "обращать внимание описание создавать модель субтитр изображение"}
{"_id": "3cfa669b42a1e0e87bf3aca4d491039495ef87f8", "text": "Стимулирующие технологии для Интернета медицинских услуг", "metadata": {"authors": ["1699154", "40756492", "40766717", "40757026", "40772661", "47953272", "2536066"], "year": 2018, "cited_by": [], "references": ["9f95d7c9055ea2f0475825255dd7586b7eb5ac1d", "6718806620341279c1dde763ac4488db887fc4bf", "07d8ce4cee2403719df464e6aeea83ecbd6c4f9e", "f59b22430fd9d0cc239ca6e72f9af0ecc152173e", "7a5158997afd2fec5ea19333b1d6342e39feeaa3", "2f2a9428b11dfc550f667ce816f7354da9f43a61", "33d4af17ae0715d988f916984a1aec6e12bd917d", "bab93ba8194dbd66b408c97fca7444e9eb29a41d", "4751f047df70a879dfc536ed0158de32affd828a", "7ea0ea01f47f49028802aa1126582d2d8a80dd59"]}, "processed_text": "стимулировать технология интернет медицинский услуга"}
{"_id": "0ce72c74fed3bd81c9ceffa0f0c1954b88328e32", "text": "Движение, эмоции и сопереживание в эстетическом опыте", "metadata": {"authors": ["35691987", "2914469"], "year": 2007, "cited_by": ["d0ba4c86d374f6f7ad4a31d48f33bffbfa006c78", "e58edbacde5bd47ecad085ef93ea0e60d807b7f4", "95bdb4893f5eff40e6011fe6e12c27afe54c95be", "7b48753065fb7924bb6b4a65d99b0190dabde3c0", "c815c6c4d23d3012af1e9ab6d8b4dadecf3a532d", "7bce5cfe5e930be2653522a739df59c25236a3bd", "8fc09e3298cecd5b50ecdbabcaa77fafc3cb4192", "9a411d26fa737cd368ad0e2e9fae3e213b17fe5d", "e525a4f18d5fe43a20b9569603c896a92d0fb785", "ac18a42b81a1d8b531cf6a2ab7aeabb303dfee3f", "d3baa78307dd437b35106736741a975062728388", "1f6b0876cdcde978a286df7e59b0f0cf89586237", "04bc14d679f2a0a5d276c2229c5191c37f7046b0", "c1a6b33e4fc9d983c1f64ab8075213bde6a1bd57", "f775b3e6de47f44918fc1f9e623f6f6d0469640a", "aa13c24b6be63a38710143a2b07c6a85acab8a0c", "116c02c4657189ec2c634adb6cfc2d7b0ed2ba7d", "234452ee94013aa855356ad5a62ef81275b4b136", 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{"_id": "6079719b677d0abda12abcd5cd46582ca91585ad", "text": "Нейронные сети с фазовым управлением для управления персонажами", "metadata": {"authors": ["49383872", "2254293", "47711384"], "year": 2017, "cited_by": ["f4e16f9a71f64d389201b240d755434ff544c935", "c5a212a491b185f0ab6e96b5bdb8e9cd6b8f7666", "5423749e5cd6a386da9a4db329a30abe6dabc8fd", "0e0343c130fd1c9597667329acad83f2969a3ee7", "5d946ac6ebab58d8cd1504b0cd5cee9213dee11f", "681ba2c4f2d33eb6092d30ce7919c8c21b98bef6", "bd9823202db4aa53f1a35f6a35f56843d0d0c71e", "5c14c0e2ca7f538e72b53163cd8774baa11df26c", "7bc55a601cb1e49263491445c5b9e6cd1cc66325", "240ece45a2d7dd675df79a9d7b2b3504886947b7", "4305a0c717e6dd3b32036c50352ad11e41b4536e", "abceb5cda049832a4ddf40e55ea2781516aa3080", "a2665303c5c1640421cfe1034face329621877f1", "58e762cccdf804c6620a87b86950457d6d62d44a", "f0525cac2a40e11cf2c315e29afecabbe842ec25", "2446541d85477f0a6ef8d80261a76651fb00b24f", "9e9d8bf6b6be3c73f964ae7e6d58edcdea69da86", "1e908cb52e93df196339935a37e3d1f792d8e1f2", "643ab168dfa1df777b9276281a54af32bf9b25d2", "61e628555be49634dd145497cbf33c9f193d370f", "0b9727c258c78412700474713f3db29616e26a15", "c18d6d1a2a5838a202f4265653bdafaea2c94533", "42769d11300a5c1b734d3753af51f5f456740192", "c8632404992657fceea5989d41af244ccecce735", "c9876056f14e5c7b9d65c703e42732c73d757097", "7758f39652d3e85a4725d0c74872c19c9666e827", "bf750dffb4385685f59bebb085e5eaae6d20786a", "59ab7222aaad1c48b051ab67c949f134baa74706", "5386034f12d36e932a045e5333625f61845b875f", "b2ebaaf853187c58f16652d3c8491b73e9475c87", "fb24bb8418138b8da40810269c54bc5ae189a16d", "99ef75a5da6b9cea8fddc7c9b24dd9a9af5d1457", "92024aea4f4304aff03bc9fc9cb2817922b6fe52", "a925df1f95ed983bcd24b534be5118a95d48c72d", "f2e4b898c2aae59114ba85ff95daf310e9715374", "c54a002a58cf372c580d7ccbdcb0dddabd93723a", "3e91cfb10342d436c57e4cd3d42c4df9a6851457", "1b9ce6abc0f3024b88fcd4dbd0c10cf5bcf7d38d", "ebbf12f21a40e3dc5e44cce826a627b4be9b4cbc", "c7a028d329aa8a7113a4bc5b2b30dba5ce8fb4ad", "7c4746bb8135452a261ba7af73882890e3af047b", "e6ffb4eecd9ce49fbd201fd258968c44e896a703", "398de251003649bb6c42bd341b084750b29eaaa6", "b47993f30d9a2f64ed94b27228a61c66407cbd6e", "5eb6402036cf772880f1b732b84cb2ab4c47d4ed", "fcd16bfffd4131b2f41f90b4c832415aea55038b", "9385a155c5245420a7c70c867d9fea6088a9b2d5", "aa9e778ee49699854321f0731d96b49cef1eda88", "0246987e317761c6eb0eb8f6b041b2fba26994b6", "2549dba602502ced05f25bea41b1e66b5f0bfd40", "b038365e04d7a77f7f92cc298b65358e0e5c6f02", "1d76f66ba83f8cefc03681d373b845394f2d2fe1", "1ec5a69546bfb1385a8a1e4ea24902306f3a7c2d", "39cc8d4bfe014af95efdce925f6b95ec46432294", "9e17fbc8fbe0613c636487a633c67cbf93e383fb"], "references": ["05c025af60aeab10a3069256674325802c844212", "0722077581460d8f060a96956a79c782d4fca57c", "480d517574a079d3e0159b978cb19b3f014e59a3", "195155a3b4affc58ec1246d5267632408d37c233", "8514de154afe51abc89f27437d0f6f7226870db4", "5433f452dcc9be2b862728e2c3dce9417f0c0b97", "34229681791fc1dde354feafd4f45572779d627e", "7d7cf6cfad4d71a89910999b8740f462a650ed7f", "a8fc855f8adf8664ba8e95a3ecf93bf4e3272ed4", "95e9103ffb2da73aa366e19404a97dbc23c31199"]}, "processed_text": "нейронный сеть фазовый управление управление персонаж"}
{"_id": "223bb68a9ca2df2d07335e2073fcc78b59e4edd7", "text": "АрСЛАТ: Переводчик алфавитов арабского языка жестов", "metadata": {"authors": ["1980294", "2872536", "2292963", "1697259", "3310340"], "year": 2010, "cited_by": ["6b08ad5e7af3fbffd2e5e55b5177502db0aeee50", "b955b78bcf6638bbf3264602bd52314ab419946f", "bf40e90c7fdb1e0ce5cea5d7f57ad3435f27d8fd", "047ab1392e2f5e8f8c6ef4b72e31f716d72bb58c", "92120c585c0fccc83734bcd2bf99221ef5cee4c0", "3a13d4bcba5508d6edf2269c04e09df77fb0f85a", "8412969a8d1b9dbdff7bda75ebe6bc9343767cc4", "7379a7863da4c640fa2a5ac1b964b56cfbac7dd8", "2dc9b34290c532adbc418b96d45bc8d7bcbdbd18", "b398bb3fbf0ee7b06223bb9d79ba599221d7132a", "280cfa2b9420086497fc908aa551ebca4741fc1a", "632fb3f025ad8245df0580925a2e80d334eee9f8", "488e963d5884ecd028f61f9385fa7eb9a64026bc", "5608c0d85560db5830cc81a44729ded041bba4ad", "0db2f5839b1cff71ae3edca418f02894533f4c23", "5ec263aad5723d8e6f4ab4dd7835d9c519331d2d", "d7ba98ff83eee37be4656b01660deaf4c7318e4d", "fbc162a9af04f6b9dd52f80e43719cef540c8cf4", "827797a1f7b6e29e5f2a6a846064245d56153aa3", "62c37f7bd056ef2bfdcdc48f3773018e81afdc72", "f5b3fd7c2af69e90938be97d302179fa087f2e6e", "7a5088f87fb78b09307768b9c60c4c89e54e8193"], "references": ["c6d1565be4ea53b8559590be73084b6987ec00b9", "59fe0f477f81a8671956b8d1363bdc06ae8b08b3", "87431da2f57fa6471712e9e48cf3b724af723d94", "87d60708f7a6de2705b768013558024547de4e23", "703b3e9dc9ad014cb1baa840f5a03b33c67021d8", "669e8107441372f35d00c9b8186e9e3ab7f944d2", "0786c89db0c246908237a4d3830f841e5556edf9", "899082e3d8abe916f12f3cea6d71f830ba4a486e", "da7b2cb2e4f7300aa08681e65fccbbdbef93b065", "109e77f51f210fe34fdc1929a7f268aabb941b59"]}, "processed_text": "арслата переводчик алфавит арабский язык жест"}
{"_id": "1e022ba4791c906fef6013777be2ae3f4017a33e", "text": "Secu Wear: Многокомпонентная аппаратно-программная платформа с открытым исходным кодом для изучения безопасности носимых устройств", "metadata": {"authors": ["2784506", "49777005", "2955551", "31585765", "40587954"], "year": 2015, "cited_by": ["69e5eb0275c6a3dec102ec4dafcbca474a41ebb9", "d08e46c68183ae7ab418db2579c063bd7e7448c1", "1bf4dbb29027d6db1f2aa5c0b72665c61f724eb3", "78ea54e85e8dec00422ecd416353b5e12660d04f", "6b720f3948a4ac4c4c3d445da637fdae2a582b11", "6d59d3613298a9af3393c5d9221c7afd62f20f05", "51ea7d97f91372d211529ac6aa69e901a64e310e"], "references": ["507038bfe2bb8aa9b0e4e10e3cce98faca108350", "00b264a76a9dab96232472c4313b83fab90e70e4", "76e282fb889db28c6c22efa2a026a8a2574872a6", "f4abebef4e39791f358618294cd8d040d7024399", "0ba1a7e7e15e88e83f0f62dd4a3f58f012e9f661", "0094f7a5c58e50bb1e5908bfa99092b28061b4a9", "a4f19923dae7ac4a5b6e710be08e4fe797d5c106", "aa531e41c4c646285b522cf6f33f82a9d68d5062", "a1fe2bd8399bfe31d0f1d2607193ada0ab0917da", "a85275f12472ecfbf4f4f00a61514b0773923b86"]}, "processed_text": "secu wear многокомпонентный аппаратный программный платформа открытый исходный код изучение безопасность носить устройство"}
{"_id": "5056e36419b95411e4c03e9c011bbdd286bbb7a9", "text": "PD-управление с онлайн-компенсацией силы тяжести для роботов с упругими суставами: теория и эксперименты", "metadata": {"authors": ["1747892", "1783131", "1777409"], "year": 2005, "cited_by": ["fcc37531428e5c1fc0bc95f06fcd9c4f5b83809f", "3d084280e81b76b0c7ee503b117df3f2cc9d7c28", "34becdd05bd7ec7a60b3d08c47a707c77d36a759", "472dca4e39a67810ef154183d5e7a7988e1dfbc2", "a379f68eeb68b8707847024d8c13c13819df14cc", "69cc917292682868de8b096f0b43795a2e46d261", "f0683c25859de783e0cb7c152f536344d3b771c0", "a99dba6f864337919d6de0efde2fb36c9af452d7", "c835d5e167635755e822c6bceb2536c67e62f6b3", "f0d5f77f79ebd9e1694df2b859f1bbc3ff6b8832", "3a158a920a77278a4b615b5028a0f407080bfacd", "b2c6fbf3805c913a55930377a988caeee4f049b7", "32c217ef78a24f8d575eddb33c38954f9826c54e", "62b0a47715c44170a83772cfeee2e2f69ec83671", "c37331b3b845244dada68bb717b503d27e321400", "15410167844c52a16bbc3e0bfcb9131d2ac226a0", 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{"_id": "16a8e0646724f730eb52216f9bc1284ddb630fd6", "text": "rev.ng : единая платформа бинарного анализа для восстановления CFG и границ функций", "metadata": {"authors": ["2230073", "2694341", "1703396"], "year": 2017, "cited_by": ["eb927fdc73841c150425a7710185ed14d478c570", "3f968a9221ab27ced723207201f1f496b679b1a6", "12d02f92a0b55fa0445acd496b94f4e6f906bedb", "8ce0291ef794068f611f97ee4ccb902d7ed3c91e", "5140e7f9fe5fe8978fd613b7829435b8767043ad", "a58a718313e123a40d838560e1074d7392121d23"], "references": ["b00672fc5ff99434bf5347418a2d2762a3bb2639", "0f7c7a16274c6f0bc30913182af488a88f105f63", "23e8236644775fd5d8ff5536ba06b960e19f904b", "5d5d3a0dfadb7f6b765b4bc289d29051bd50e1e2", "cbed9f42f56bae34e7e07d7b0af16579fc825da7", "30e76f32c323adb0ff340760380fe5a08505b641", "12905cd683008be33965380ae608d5470bcc76d0", "7d5e165a55d62750e9ad69bb317c764a2e4e12fc", "a2be3a50e1b31bd226941ce7ef70e15bf21b83a1", "f36af08e568ae2bfad4df4bf81c955530fb2ff31"]}, "processed_text": "rev ng единый платформа бинарный анализ восстановление cfg граница функция"}
{"_id": "9767665504e617d6efbf4630046a377a1383a2bd", "text": "Проект Utilibot: Автономный мобильный робот, основанный на утилитаризме", "metadata": {"authors": ["47343856"], "year": 2005, "cited_by": ["bae0da8f0f2a32e1df99a62358b820da913ac569", "ac9499400680de3c3e7d798218d5292ded84c4d8", "27c3c7c96f3252890b5af1da82831f75ce0ccc68", "22bb12b21b145b402194a78bd7742306c43fd956", "982b38771ceb4d70d4c5a345d7a05c01374d297d"], "references": ["1653247d43d4fc8e3b8239a22e2a1b394a679977", "16edc3faf625fd437aaca1527e8821d979354fba", "91db7e0c15010f5e5120c93caddb15120ff96cb5", "fc169cf221154482940b3902bbdd5eb30e8b9907", "2cb57a3578c5e46ff427f339f6c620d1c2960164", "6f15d95ca7c75a99037dfc8a5d76164bcb28a38b", "2ff4951dab8d841181eee5cdccc4a6ff9c5e25d7", "dd1b2e22a6f10ad40b2a95a17943e77f486b47ab", "ad6150280eb06fc9261ca49ad4c56634060ca4a2", "a23e8ba2b97dfd3a98fdb3d6deae734b148aa8de"]}, "processed_text": "проект utilibot автономный мобильный робот основать утилитаризм"}
{"_id": "ebfe1e68abb1782a3d34df61f920375c8b2d6134", "text": "Итеративная сеть глубокого сверточного кодирования-декодирования для сегментации медицинских изображений", "metadata": {"authors": ["14833874", "3009805", "1692847"], "year": 2017, "cited_by": ["c2c71a10ff47883cc8f61bab01ddc5fee1e0f575", "9d4290c0eb9a93e3bc7f0dacb8ce20c0d632a671", "ce940732d54c4785f0b4a03635aac21049687296", "9eeb013589af118b2787f8de35b195057026c2a3"], "references": ["4684cf4ee97c953bd47f7259900baa3265518fbb", "dffaa9e4bfd2bca125883372820c1dcfd87bc081", "1a2ab88f595bf6128f527ff066fdcb3a5caaf4af", "0ab99aa04e3a8340a7552355fb547374a5604b24", "ac9748ea3945eb970cc32a37db7cfdfd0f22e74c", "132be6900742557644a3019f6caaf29a4a61e442", "07045f87709d0b7b998794e9fa912c0aba912281", "db4c320e0350ce4db8c550f3d7444cb422e5948b", "24019050c30b7e5bf1be28e48b8cb5278c4286fd", "1144f80cb233617d8948175643a36c93cf9035fe"]}, "processed_text": "итеративный сеть глубокий сверточный кодирование декодирование сегментация медицинский изображение"}
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{"_id": "a221588fd2d062462254481cfd9563fec2f7c387", "text": "Архитектура ансамбля глубоких нейронных сетей для классификации движений глаз", "metadata": {"authors": ["3440418", "2339181", "46268796", "2567698"], "year": 2018, "cited_by": ["c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9"], "references": ["2f93877a1e10ae594846660102c1decabaf33a73", "7ef2cdfd064aeb52d5dcc3cc45084991796b2c3d", "346689322986aa1dc90a50b621f6e3e55e00f839", "8748c232a93cfe595de6938f209a170fca51c1d5", "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "1fb744512fbd6d490d2d7035691ebe8d558f33d5", "061356704ec86334dbbc073985375fe13cd39088", "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "d0682c8dd10deaad22501cf8186b88007953c108", "981fef7155742608b8b6673f4a9566158b76cd67"]}, "processed_text": "архитектура ансамбль глубокий нейронный сеть классификация движение глаз"}
{"_id": "2ecad6cdccc33f707dfe4334883538918de50bb8", "text": "Управляемая клиентом надежность QoE на сетевом уровне для зашифрованных \"DASH-S\"", "metadata": {"authors": ["7557693", "1750690", "2189784", "9430958"], "year": 2016, "cited_by": ["0c894e0587f92ccaad49f46cdd561f58574fbfe4", "8a79e71358e6e495d82f0756911ece877404df04", "1b48404963307b4caddad85d8bd333b18be473dd", "d45bb88a9569ff4c59e9e6508dab0e8d1e9cb3df", "dc575c87614b3994148e108a9601de1fa2f30d8d", "e7843163ccea197d95fb9eba42196ed7273e96f7", "d6ea6418cfb0df770c9e3a68eb90a4432dc2b124", "7001c64be006d3ac6984f7c7451448a1ee86dea0", "30fde47efb3189975c5e83a27fe3b864df859c67", "21cbf12a63ded250bc5ffc51b6565a573fb313c1"], "references": ["a5ce5420b6c9b52302d55c3da9e5869386dd7cf5", "65ca19a01de827420e1bea9448ef3e81824ffe2e", "4b55ece626f3aca49ea7774f62b22d2a0e18201f", "03d1048cff1e12d46f6aa382bb438b06f6c3a2ad", "10be1910b3c82027df4843d376dddc685a18dfd3", "ddfd6f905f0fbcb6d1cb6559f87050257b46072b", "1606232769007f555e2c1927df5cc2065bd88526", "2283a70e539feea50f2e888863f68c2410082e0c", "0883143a084cbb5d8b2593346381fcee96901832", "3f623aed8de2c45820eab2e4591b1207b3a65c13"]}, "processed_text": "управляемый клиент надёжность qoe сетевой уровень зашифровать dash s"}
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{"_id": "34cd1723dc4a58217222882f9c6a651ec5bcf7a4", "text": "Реализация трехмерного алгоритма оценки позы", "metadata": {"authors": ["70101728", "2139160"], "year": 2015, "cited_by": [], "references": ["881c0cdba2c23809a32002cf3ef51edeb71cf098", "6c5c61bc780b9a696ef72fb8f27873fa7ae33215", "faf24bbab631279590aa205998ea3617035e84b4", "f3517717cabe10120da8b4d60cd5e5fb27fabc62", "8af1af95b6dac2481081e3e84c68ee91fe9d5403", "b62ed70cb02a2fafca689bb4d732e2c4d42faec6", "d716ea2b7975385d770162230d253d9a69ed6e07", "9a429b945b20522193b64c2231f771e9ad0c1d24", "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "1a998506899da3bc703455bde45114bd4c228947"]}, "processed_text": "реализация трёхмерный алгоритм оценка поза"}
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{"_id": "31c939e469b8910eb49af18247d68981cff1887a", "text": "Возникающие проблемы для изучения оптимизаторов роя частиц и других алгоритмов поиска", "metadata": {"authors": ["3169349", "1742664"], "year": 2007, "cited_by": ["2fe0440a91c04526c4be112ca457a67e97aa534e", "17051ac305a6aaefb1cf7808e8e560f751f82b18", "128d079d1ed6cc92cc17a831752761d41452cecb", "ad79de8c13768d466572e5bd3dace7eded3f3c0e", "d61780af5f0715924b5d3efe732a91335400768a", "822c872f266402147d467c45b7fde47b971fa48e", "6974b972da0b96685c85f9e8ad15680728e2b8c9", "44ec85c79e63710a2502ad30b00ba951bc9ad295", "683a97f61a3594b6e75f5bb4f363a07b5af875c6", "6c5977a4ab5f5dc548cbf2ac559a20cd00379c06", "9c42ba5ab4210241341616f357bb71f45d7f23b5", "27f8a5da6834ef862d84a9a3d850f4baa91f54ba", "435bebf65278d48c45de7bbe69162183d0e74abd", "c17fe3e9267a7b5696dffcb7a39867f7b52c71aa", "06e61e83616b5885e4d1c238c629a3e9693d2192", "bd5a92226fe3a237382c2dcb1cdc1d01694d4668", "4ce59e761adb6648fb0562056b17689e25703280", "c600c756ea5d8e94b08f4b1ad55c9e4a61f2570b", "9a4b133d5a86ab58b9710a8da3d91de8d95cb1e3", "474e80b09ab722479fc53cb9d94644c619cfb2fe", "02c77ca8d5be41fe34b6c82072dc4ecec3458d3f", "573d6aea1d837b62f4f79e0899b186d144e90c4f", "6abdb4dd51ea00cc1ebcdec278d70121952531af", "4e8fdede06e322c93f02d43493800058aaf3dc4d", "c64f29d2caf26f04c86f3d0cbe2e72a609865e85", "62615f90d40c254f2fff347f7f134c7783708c26", "0e7a4be8f2d0230249af7ca4b8cef3f466fc4eff", "4a75e7990422e3be250f002b8edab9551e4ffad1", "99d4d9de32c5c621c08500e201d6fd48bdcbc9f0", "171c0202d657da169477f3efafac2c2c33ac815c", "c5e2691c25a5fbf149c5a0f6126125176b357398", "329cbfde7b041cd17a126be396fe5a6d42feb872", "31c743bfda8c2fafdca8b037036113348db17352", "5f3c146949578be69c09d08b8ae837042e19790c", "0401892364a692d461bb071289c8cb38a89eb83e", "bb5909335dca4702875a33eac2c71c62cfa4e56e", "55d04d241e7114954da06408e7863e19cf4d98bc", "caff5c6b80f2f59a4374694c02916df1020dee60", "8d3777856af3010c935730ff5b3f482f259f0e74", "6e379ca20e49ff897c90b31f245fad3b830f2ded", "1091cba703365bd7d820f27859169688fac1fc4a", "7f0527e363410db2986b63ecb725a56c631d899b", "707e7f1bb78ce279635e9e02b1ff0b28a80c15a5", "b968a4a472fbf07af21af213b2cdee0dfe40d33b", "9d39901dfcd84fc1645d3db58160abf2ade23352", "186700eb4213d0f236b34ffe6cda858ae3f2d44f", "45b85e7626c8443bcbba3fbd1917f12d2bace543", "f3d0f74c1e7ce1f2ec4658f8045de704dc3f4c14", "b3fda0af84a1be6b0a14b45c9c14b4624e28e453", "c88bebb40a245d1f5555bdfb80f1b902be62f936", "067624898c070c2ed7304751610b03afbe88139b", "002ecd8f73f8b351ab7372781f2e6357a3a73315", "a300f92505692f1e960161faa3b3b85187115f27", "b630e7344ebd9d7e1386cb08c9e9fc03c910380c", "b3f8c057ee5126b6689881c401ed392ebabd69cf", "037b8465fac55628b80d4bf4df570772c64d67a9"], "references": ["3af962c984dba89eeca3f2de9174ed7150caa3b5", "088e60df2694230e8e9e841e19ec218cddba54fe", "3e28219db15039b1939c4b37ea5a332b51b977bc", "402bf21d41cf1a0b37475810cd52ea690a14a6a3", "11764d0125d5687cef2945a3bf335775835d192b", "77738af584ccba05dc99fff7ea4e2e2152ac578e", "0ce74f8c4890a3bff27db91c08f998b6378d0f29", "777896b0f4cb6d2823e15a9265b890c0db9b6de5", "3c4a6ce9dd560f8c0c9621cdbdf33580a7a41dca", "0b435240a06998c87a44f0ea23b8f76fb9e2e794"]}, "processed_text": "возникать проблема изучение оптимизатор рой частица алгоритм поиск"}
{"_id": "f1b7cb07e6f6b0c1cb142f8e46da4957ea7960f6", "text": "Активный подход к архитектурному опыту: нейрофизиологический взгляд на воплощение, мотивацию и доступность", "metadata": {"authors": ["4384041", "46433993", "35807924", "2476126", "3292504"], "year": 2016, "cited_by": ["0f5911b811a175a0b2c70b3b8588ae1f5b064695", "ee7d784ee3c14a9c5707ff90a2f6ccc8dff0cfef", "e1fa4d240b7e127ba62e9e60f2ada22c8c36a300", "9a93b49aeb91dad6f6bd17e13f25338eb3c71451", "8e28f22f65306400e6d1c8c179feb1363bd6361d", "c7951044b9bcf45c0fece9d7dfdf7726213c3c59"], "references": ["741fd80f0a31fe77f91b1cce3d91c544d6d5b1b2", "48309d0e96906adb7e317ea49f749281ea21238b", "a204471ad4722a5e4ade844f8a25aa1c1037e1c1", "3a3539ab09e603530a4b8e17d4e2d5aa59baa4c6", "7fd7cdf577bd6be8e1e000d7b420b4f45f70e1e8", "cecc7e1f2be72bf0ac9da65ead0c92a84941feac", "d67de869b8f667ea340be2d4c83f640c0a919225", "fb4dcbd818e5839f025a6bc247b3bc5632be502f", "6a3af7f813041740fd19eced6685e5abf19ccff6", "6b6ec0cb34bb818b25e264fcab4f243c87c8bd5c"]}, "processed_text": "активный подход архитектурный опыт нейрофизиологический взгляд воплощение мотивация доступность"}
{"_id": "d2e4a2d9590b7ae6c34fc59faa34a4217c5cac53", "text": "Широкополосная двухполяризованная L-образная антенная решетка с полой структурой и модифицированной плоскостью заземления для улучшения изоляции", "metadata": {"authors": ["49358329", "48239688", "9184585", "31349817"], "year": 2017, "cited_by": ["8ffc5a43171ad6502b757afe38f4c4ebe88fb168", "d5cc287ec74f482c38243a1b1d7b08a0daea9285"], "references": ["fa0092adfb76508be15ec05fde2dcf854d4e5d02", "f20c6d8c99e06646a063ef71c747d1fe3759d701", "1c80ffbc4062557938df9ac122a5666a37f459f8", "8bfab7e3f79b586ef4e71cfd60a04abc592a0da5", "6c6b031a873b7c8b74791be37ab553f5922d8e34", "bdeb82caac06ebca2dae2827107fc28be9265aff", "29a65f833a173afed2647463e0e0de4c76157659", "9268b7db4bd7f94e5c55602a8f7e5c1befa3604f", "75c4b33059aa300e7b52d1b5dab37968ac927e89", "aa33d8f540baf255529392d8d2a96127256307d1"]}, "processed_text": "широкополосный двухполяризовать l образный антенный решётка полый структура модифицированный плоскость заземление улучшение изоляция"}
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{"_id": "76abf690192e6b6219d7691d0925894c433ddf2a", "text": "Встроенное видео и приложения", "metadata": {"authors": ["33431659", "34601098", "1680777", "1732588", "1703898"], "year": 2014, "cited_by": ["6a56b83c1b5cc358435a93b5e0189da3b50361b6", "22d5bae5e5934aad25beed98c11e369196fb3266", "1816e60ccf55ce0d23ab1c2d71ffe58a44a61068", "69014d9bd23620ff0eedb3e822c4c8e1462faf79", "026398776c6dd4fe6aa97569ba3c579ea4abc1e8", "c4b432808bfa56f641a59863bfc1bcc33d571f3a", "fad468bfb951d7ffd4a74284de33f7b53d8b8464", "f2e163a16d8a9c1fcebe1d611ead7ce801411214", "a00224d82adfbd8bc4bf9f0cd43dd005472de0a4", "73fe6c0223d3cae49567a20cdd4797b5b14603e5", "6d05778f51fb0138a4ba46a6f007702a9a93654c", "bc787830e2a4337fe97f424a8d7e6e9a92598175", "b4b200986a8dd3675081d235bfc853dba70f9bff", "114dacbdfe2b666705215ab3ce2c7058eacff5c4", "dec695f3229d4157cb38f34382a0cb1fb6f84259", "94d1a75e0f0a88bef537cea26bc047fa62e4a6ac", "40829061a895604bdc887fc3a1793e8976fec1b9", "f36e755c59c1e127395e0ea8f7640d9de0f220bc", "1c89c297e356942579993c304491023849245ecc", "79f9029e31fd19e162ae3775dbac01975cfe42cf", "d25a59f0bfbd0c222f17a6e098b60905d8cb5f8d", "046ce3c4a97bc592de3430e79640d6dd67adbac3", "484024a91c1cb97b358c2cabd9fa427fcc6d52e3", "cae8fa58d58c85abfb2a19331fe0e77c576bbe5f", "036bfdf3613177919ea93f4acf7a340a4953f217", "97eda70735745513db49470c577c37181a5fb63b", "95f4a528c2a2bc7cc9d1762dfd4bdeab5dfbd0ab", "a7bb2bda86782aec073148db801126fdad092885", "3c11aa724ee517f445fcea2df615d3c5d5b662de", "fa5a3eddc1bafcd5da72d6bd4df8605d68d7f363", "49a857d156c8495eca562dd4f069aba7f29a7d92", "e83f5526254d73c4f8c2c18cf333489029c7421a", "ed7038b052af85886bf96c3511910ad654e1811a", "098b68fe34dba7fc4e206035ae2d149944bbca8f", "0c70b85b25436f30e2e6a7ff9b7d85c05a8ddea8", "1879306d3f410e3c9e3bb0af9c92b0a021b423e9", "4d67c708dd391eb80ef9f34f6db7c730217ca398", "4edcbb2095c2256222fe6ff1bf357a75eaf43278", "56aa1524564e04d78c2c16f8ccb27cbe6c3f27ce", "066a4c83343676845c8bf975f048ac649c4ccaf3", "602fb9b45ef528f3b954b59d9f381d5c4d5558fa", "5b0cf078c9935d1a78fdd83d0355e450c440387f", "1f5a3d0d1d655503bbb96342f8ba8bf94925f1ed", "85117e2a2fa9267c54a5e0017c9c5b78f87d7fa3", "bd228d3718954f2bf5eb5708307b01c433f97e89", "c3a72d8e27de891c1ca894441a0a2389e298ca94", "2d8647e1bac8fc0e0b749ec9c2686ae444ce060f", "b1223aba39d806032cfe80933f7b06e75ce847e9", "de9844662f9054b6c787b104ed3f1bf8be9e7cc0", "b11353b715449d2b2e926bbd93c2eb5b02032cf0", "2b00390aa941382250f056169c051923b6fbac6b", "f8111d232a3db8b66c1f8548a5966ea56f3ed47c", "d3ed71e6def5c5e20e2477bd273f14ba9805d7c7", "7b791008f06eb24c40ef41fbed0947546f0480bc", "c74a2bc51a9e013afa446bd486052a5cbe9cd151", "5cf676a6227d3b1388802991ef4f44ffaf98bec1", "592197f9047c50bfffc1ee17700d914b7f2e590c", "0e7aa21183f63a74c8d5f13cdf98d945e6308b2f"], "references": ["314a508686906f48d55567694fdf3bff50a4604d", "1225b70178cc3e26119a990c6fb20d46d1542497", "1e7312678ea3c3a2da6e9a1a56f16b5ef60cf6d2", "923a2a63ee027c5ab6dbc0af6848022dc867be03", "490a0b499a98a9f64abbe72b96b6a7c452a9c6b0", "ff3d3098a94d186e61498cce2128e8d2916c884f", "13dd25c5e7df2b23ec9a168a233598702c2afc97", "8ca53d187f6beb3d1e4fb0d1b68544d578c86c53", "563e656203f29f0cbabc5cf0611355ba79ae4320", "438f0966d569efb00ee0a57091d7f59d0559ef86"]}, "processed_text": "встроить видео приложение"}
{"_id": "30c584613b73201bd2d9dbf2e1d6d31d290a8a1c", "text": "Стратегии ценообразования на услуги в области информационных технологий: подход, основанный на ценности", "metadata": {"authors": ["1804970", "1783975", "3082127", "3175370"], "year": 2009, "cited_by": [], "references": ["833a89df16e4b7bea5a2f9dc89333fb6a4dbd739", "8dfa972ab1135505fa2d0e00f4b17df8e49f7557", "a98251b0b72ca1f1d8b434f7d32f67d9bf86a4fe", "2ec742685135a151c6cf7efb66859bb4567d948a", "7321ca31f3f55b93ab0b63154f21218fec8b524d", "38c8fd0a3637003b4280a1a59f0d157ce5522eb8", "281c7a5cc3c14fc53437760bd5d56118393e024d", "556c3cdb07ab5f4ad5e75b12a6947e819986dde6", "4140e7481c2599604b14fcd04625274022583631", "4b3068a7fe7eaa851a595014ca1502fb6db8012b"]}, "processed_text": "стратегия ценообразование услуга область информационный технология подход основать ценность"}
{"_id": "0f990cb8bbd3767350842b0975b4b32a600f41e1", "text": "Изучение пространственно-спектральных характеристик гиперспектральных изображений, специфичных для датчиков, с помощью сверточных нейронных сетей", "metadata": {"authors": ["1745727", "3405741", "40630305", "50080245", "1686102"], "year": 2017, "cited_by": ["38392dda5620484ad49dca09f0f772892d786eaf", "9427846c3f7e355b7e957fe39fa86ac8b11a2359", "c7794d1e34d1237fa75d2c944ecc005f0bb3705c", "e055ed42c20013fa4d8a559221963c11eeb49e64", "25f6e32c4c8f9d7f309a2cb065779ea6e0cb39f9", "0c37b9c060f1e12dead602894fb7c453221b74a9", "10ec4cbbc8aa63e664bc2222038f88dfeb07e9e0", "d833268a8ea9278e68aaf3bd9bc2c11a5bb0bab7", "d80cfa8f45b4b0bd07fa8111fd5c1b72d6466522", "17e1a90dc1af5cf7e6b27bcdfcb157ff63a55ea8", "46e48a7ce8cc26a539eaaabd9645fd901295903e", "3b7572dac0114f50faf9943ec7e19e9464968db2", "33b2ad104a71644444ffa10563c2792614a4d7ec", "12a48795a520bbc0d359df470741e50bcba01e6b", "8b182b5224155d2bc41f603eab377ad2dcddc5d4", "b4891152b7291a204d30a4786f25ea6846635c4b", "b4976d273728d5be381cc23bc912743b1a2c8aa9", "df4b5c966fede7d5f54d640ee06ec0f4fa775ffa"], "references": ["2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "44d26f78bcdee04a14896c8c6f3681313402d854", "4a5ff537ed30b7810d463483eba83c55d9fe51d9", "b940c23e3569a1224a5c5700f1603a79aecb3ed1", "c9eb2d77f24673dde1d5105feb6c2d75915d682c", "41e884081398d044716c94fe8636567c50e786a0", "bf07d60ba6d6c6b8cabab72dfce06f203782df8f", "20739c96ed44ccfdc5352ea38e1a2a15137363f4", "ef8ae1effca9cd45677086034d8c7b06a69c03e5", "6c8b30f63f265c32e26d999aa1fef5286b8308ad"]}, "processed_text": "изучение пространственно спектральный характеристика гиперспектральный изображение специфичный датчик помощь сверточный нейронный сеть"}
{"_id": "86f45b11497ba1c1ef1da5739ec022b4d335fa11", "text": "Сверточные нейронные сети на ассемблерном коде для прогнозирования программных дефектов", "metadata": {"authors": ["32021094", "31879066"], "year": 2017, "cited_by": ["043f436c822065e9eed44a714204b2c63137c03c", "f4d58224932d76110feabad00b71798582d94e3b"], "references": ["c11d0ba3e581e691f1bee0022dc0807ff4c428f2", "7f7943d20f119ec262163932a042a4adb8f96bbb", "3759516030dc3b150b6b048fc9d33a044e13d1dc", "49512270b39636375880d611d7b2192d324f4ba6", "dafcc5d8fdc84d76b771c3b7ad07cd6c0b981d54", "5fcdd1970bf75e6c00088d0cabd2e19538c97257", "e73fe5f0c62a7a13f662435ca2bfc5c36d4e2d6d", "b0bbea300988928b7c2998e98e52670b2c365327", "ba2cb56a3ffd8f11172699a35861d83edb5330d0", "2c0005665472b687cca2d1b527ad3b0254e905c0"]}, "processed_text": "сверточный нейронный сеть ассемблерный код прогнозирование программный дефект"}
{"_id": "eaf4756c12cfdae09ad3c82696ec1c16271a9348", "text": "Распознавание повседневной рутины с помощью определения активности", "metadata": {"authors": ["2365410", "1697100"], "year": 2009, "cited_by": ["d14fd5deadb2752aa05d7a89c9a8ea22032dc65a", "2b8d3e3e352dd095774778b23fda66204b874dd6", "f16d5c301b9a913370428076b0981aad21244d50", "a6dea94bc7e377765156f1408ce99950c5c1dc05", "6932436f1707699a6680cd22235cbd29113b7ae6", "c6ed345817d88102d622cc7a3d1c2549cce9c314", "2cbe92743ff3d1fc16420d1596a6ff4cd39f9d79", "6490d1c8b9bce3ff9c424fb072ecb8038849f993", "49c1bfedf356eb8bcf9df9db9ccd9e0a3d2beafe", "777d6c52f8affe6711e6ba40b1629035b9077de7", "26bf90e8611a9ad210824feba26c66f51679b431", "b788f1c013c6786cd44d6f35682a388975058488", "61a26fce774886dd9455710cf62eeef4b6f87198", "280502e30fd998480c8e0ffe0391392d482ecc53", "b6ec03163e2598883fbad253d5e13246aa42b35a", "601416644a6cddff571926f085e8d58072e77a81", "2d3a042333d9cc64ec0fe6e12fea95be744f0147", "0d23260f8cb9d0ef5f1e0e9f43e9ebd1131f0e71", "22fcb65d0873d2aefb6f0b1a6dc4939d9500717a", "993dff7b223d7e114d9a2c0b95b266413bb13297", "afbe431ac0bfde17cd24f6ef02404f6f81980f99", "64a60b0325d1df9fb41afd2934f836de5b342bd5", "fb83727cf65ecb1564ff6df7e366ead7ffa6e56f", "5b27a0f1f2ae4dbd47ca65efce347fca8e241fc8", "4cf251f541fdfa0dbdc05e7166da661f350fa585", "1231458df6feeb521aff91b3de975110ae162802", "f926020afaf2fcaf15fd6423dc3d76f88551701c", "7dc73abe0a8adf6f1ec28fdbef941ef1abef23f1", "89ecdc308c6a74915023c7b5660b7b7e5c56a622", "b9eb00ee1656f40ae3bbfd8631bda30c1dd9206d", "9e98c9c83002c4a775e6e896df353206292ec5ed", "86205a933920ee4650b481624e446c9d938f97fb", "4744d8590ffa552d2fbbb31adaede64bfc981d97", "4c60b754ead9755121d7cf7ef31f86ff282cc8fb", "02bc57463b3f1fd72053c33bf876af27efeaf4f7", "1085278b89cb8d076f192363335594776058346d", "5593a505984b55dda96f7c564804ad57eb002103", "01355652054177f60a125a6f810e203c39f87e7f", "1ece0925d5fcad280faf917b9911d9004b88dac9", "c4237d63e8f54769b687858a783701a6e0377019", "13c21ffe5ad80e6858efe100dc3bdb237c4cacaf", "dfc8579030fe38f6816942e49d2ff23cdbb30f72", "60dda1aa556d767a456a0d89815bbc8ab582ad23", "28f6ade80a657d2b79954422185bae6051d90e3f", "983d19d18c9dbb6f56e75744b364977bbe1bc622"], "references": ["80ccb82c642652df19ace4c42359a99deba3c03e", "2fd9f4d331d144f71baf2c66628b12c8c65d3ffb", "8262bd0fb41956f136dd2bc04ff4863584a43ce7", "547b24708ba50b6f85788a5002794f695ec8bd52", "0fb562f476b248f94116646173b8d7dbd0220443", "573ae3286d050281ffe4f6c973b64df171c9d5a5", "249eea3b0c2e553695c026e2f16ab1a01552332c", "12a376e621d690f3e94bce14cd03c2798a626a38", "1617eba3e9fc6366f0c368bb5e649715a2c58650", "0a56aa7c56c3d2adbf4184d0cd98687cb0bc6b8f"]}, "processed_text": "распознавание повседневный рутина помощь определение активность"}
{"_id": "0f1b8238e4b8f8937c78dbd2d77d3945723b596a", "text": "Изменения числа копий, ассоциированных с опухолью, в крови пациентов с раком предстательной железы, выявленные с помощью полногеномного секвенирования", "metadata": {"authors": ["4603094", "3727010", "6663891", "48035423", "3648000", "5353189", "4415157", "40307095", "5495057", "3537987", "1706378", "31884326", "1834924", "5766833", "6922548", "4422193", "4675764", "35239104", "3751707", "2021783"], "year": 2013, "cited_by": ["0cce114de5ee84402d2f6b45d00063566804d20f", "d6d3564ef27feeec0ae345882104d5fae95ef647", "08cddab1faf47626eece0760f8289ac20d22ffe2", "e0d7e5a91877379bbef07d854f9b6565baca72e5", "5dfbaf20a0fcabd86a645849796d8fb4759028c9", "8c6b8b6ccbd64f9efbf0d5b7a1c4cd4cffcf151d", "c914c11c6948c8c71e19ddc96f514ed67a8d71a4", "0fdc5fc629a694c44ee1626edefb1c750c625e79", "ca622d9a7a8e827c77cf3160b38fbc5fcd277387", "8a45af92e96691585b7ee47770500a9be4f9dfee", "949ac14ae82774db474b475ae93a36a3ec450da7", 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{"_id": "02c9fe33a5d8cb94373cea20a53f01e0a0e70f7f", "text": "Краткое введение в Soar, архитектуру человеческого познания.", "metadata": {"authors": ["2142730", "37122377", "1749322"], "year": 1996, "cited_by": ["bd62830643b1834be3b8c83279b6681380c91476", "11f33ff2b0ba1313167d66a0d06aa59a8953145a", "31d40e793114d723cda0ba480f87b016fabac92f", "436fa2bb4800d2c2cb72c83bd3c295b79404114a", "841fda222a214b965184dd246063e28865311450", "ca337d770c20329333de68da5e1c305fb3cbd93b", "0d52340e29a3e66691f99dadd67b2b447dc6793d", "ca5fe55d41adaa52450abb21c5ae809a2d3f7ce8", "825b8565d1a61ef97c8a51809ac0f9fe60f55a48", "7c8ff9444e9094a8ff156cc246d2d035487048aa", "64f09a105e4a274e7e46df873108bc43a3547a56", "c6335b5d2a0f142a54180a1e630c2d2ba3e55fdc", "599cb5343e0104b667012893a9a8956d342ca942", "571fd284b969ca0d66d16d67bea2fe49aa0e2a9a", "55ac7a481de87ff74bea5bdca73b54503486db56", "adaae52897df96a54625d31d7c4e50973c373d32", "07e17f8d4a3b61917b5dc526eb6e275707453431", 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{"_id": "29b28c7699a63c02bb3e3c0aaaeb4de6811383b4", "text": "Переход к языку совместной работы с общим реестром, основанному на процессах, основанных на данных", "metadata": {"authors": ["38710982", "1742877", "38574208", "50136367", "2462598", "1765187"], "year": 2016, "cited_by": ["ae3ca0b1b2db70a148d643c520d80f50f9220cc5", "3542f3c6120cf7d758856040545eeaaf29a3f38a", "b6d2a776cd4a2a24ce38170e707dfd4d6e93a03e", "936265c52612e2d6c860e62c0649fdbb07c2f4d4", "c6e39e2662efb41ed8ed2f889caf7ceaae6e7921", "b8d1ff41f0fcaafdfe74b44e281ba7fb3c356c30", "efb0a1586d3475e0103ba84f53ec340cf32c269a", "e0d78af45e63d5b9cc032844d4a5aa24d7c3a7d8", "66bebf6b470d17e535ad588fe64d5d14e2d66108", "6729f31d5a8d33ad61264320ec077bb5dc7686d6", "3cab4f577a8e16a2bef2b971d5e4fce34073a766", "d0dcb3e120e9f6a85d5fa9dfe41a52db43c4013c", "82ea7e9e68c39628bbe6cf0a9b91b64ad253b0d8", "08c9c7c019aad37ef64eedcbca14168f472182dc", "bdd1d65843a6af970e0b2eb1dc8e16b1e124c463", "554061fe07a82ce91c38b6c65f5d1aaa95823da6", "9233e65c04a50c817b3b42a09496f1cf4b70d12d", "69027b78b6669c9c5464b7a8dc39675235cbfb11", "fbbf19d5362d46a63b8905f0d81d40e30b2c3dbe", "ebeba33d0e635fc8e6f5ff2703d9c527cc1d5c01", "eea5006fa91e92bef866b95ff7e731a9306eaeb0"], "references": ["87670ef05af45d5a1e4337fbd7af6109d7c04d4c", "1f7545598398a9f9c681e32e2d9f5b58883c7fd3", "8cabea77a299f8a070ac26e41ba3b0868f10fbf4", "5e23ba80d737e3f5aacccd9e32fc3de4887accec", "39b213d02b3f224f93fce532209619d7d2706082", "461a926185ff76427efb9705c6d124ef7824512e", "1458fca82d24abf50858a15084b3d0d735a9c0cf", "7a97ff390ed8df5d80069a336333ce0f4968424e", "939c54b1e072a304d05cda06ee9b6f4cbe8a22b9", "6cdb867f1b9cecae66099800dd045d0fe73d0e18"]}, "processed_text": "переход язык совместный работа общий реестр основать процесс основать данные"}
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{"_id": "d15f8891e586a9c19c9fc30fa636e764c9eeaff9", "text": "Обнаружение парковочных мест из списка целей на основе радара", "metadata": {"authors": ["10761654", "48322789", "1686508", "46439197", "29883617"], "year": 2017, "cited_by": ["7f9b84da24bce9aada4ab92e3fe307939ae1ed7d", "8196b6a9493d2c54bdf7a0d5912fe22d9d8aeffc", "9d1879178cab0dd7a168a0bbd2b7e2843a5c9020"], "references": ["8f69384b197a424dfbd0f60d7c48c110faf2b982", "783a911805ec8fa146ede0f29c4f8d90e42db509", "2c3eb8bcfe5f0bf7666a8719d89784a60ffa3c33", "bef44bfae99edec4dca1ebc96492c7225fbfd810", "3d0fb8b52e40bf870bccc908217065ec7a15311a", "3d8c39190cbdc7765346737d86e6e261c6149651", "9cd1166aa66b0798bf452f48feab44d7082c1bf6"]}, "processed_text": "обнаружение парковочный место список цель основа радар"}
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{"_id": "89750bf1480ffea3ac18e5271cc87589fc5709ca", "text": "MOMCC: Ориентированная на рынок архитектура для мобильных облачных вычислений на основе сервис-ориентированной архитектуры", "metadata": {"authors": ["2152533", "2190935", "2981769", "2591617"], "year": 2012, "cited_by": ["33f97956275a78b18059453b7e9f102b1d9dc1a5", "8aeb6a6ce3917d45e039612336f6b8b93ca9b25e", "42ffac122c3b7ea1831443942d18be1a21d34f11", "0ed2541ff52e81df5e97a1e4b3a61cd41e87e03b", "6515a41ddcbf4bd80d2f02286703d1bedbc0f267", "be749dca4a2fb6e3e8c5b4c1796e36f593ee3669", "b4fb356f1eabd3dd66ffb1560f9a8c350c2c7aa2", "309ce1f93a4f71bca4b9d489594efb1f6c77de28", "8d2a181180c62744ed59a9ba1492c2ddd1862bcd", "ef84d4918c1df42c2067e49308ebc5085121d0a5", "de33698f7b2264bf7313f43d1de8c2d19e2a2f7a", "37a46b4ea889cceea66db34260c8e59496a3c073", "7c0c5e18ba8dbf8de4cd4835dd513c34dae73b67", "c7ce3e4f2f71712eab87c909279a4f4fe88efe30", "fb636a3a864d4967650a9ea6a61d0619c6daae6c", "80a444c72cf7d911939d2e11922b5e6daf9edf01", "fbaef4d82c327ec9c89c3ab061623f679a9ca46e"], "references": ["1d26137926a698f02dad8a87df2953b3bf9a339c", "31abcf70a3a118269d4b5707a7f06b0ef8cdaab9", "160c5acd01876a95f7f067c800aba2a1b2e6c84c", "6b67a2eb179cad467d4433c153a4b83fdca6cee8", "fbfb43bc1bb8c659b1f582e1200e589168989646", "025eac0996d7e3c68665bd423f4af0b67b1d7645", "5d0b84d684d63bb4ffaecfbb90271dc071fece2c", "abe7b649795c09ab6e181ab85cbc5177d3442cc0", "bfaeadd0565e6b49b14cb8b792a079f116eb3af9", "04ff7c4f2ce5982b83b8dfb48f88cfb1ac29a212"]}, "processed_text": "momcc ориентировать рынок архитектура мобильный облачный вычисление основа сервис ориентировать архитектура"}
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{"_id": "d4d19261e9047b54e14d38cd99cd0f27dc9d0926", "text": "DroidDet: Эффективное и надежное обнаружение вредоносных программ для Android с помощью статического анализа и модели ротационного леса", "metadata": {"authors": ["9629812", "1683233", "2920520", "9620541", "48283613", "50791064"], "year": 2018, "cited_by": ["f6f1b2ff98718bb39fa1e226c0020c9409c5a10f", "49fd98a7130e59329a2fd6517c09f51ba20a16b9", "74e11363e1579401415e9b84e089a3f5357481a3", "89d02fc5b72795cef71d7de406cfa330baf190d7"], "references": ["dc65de1ce43f610c060d1284255106db1672ab60", "35fc894c544dd0cbfbc3602b46287911f78edbd0", "7e25cc3296eb32bd99b886d00eb70f101be444d9", "9f78a1310434f1814538730d98884c6de02586c5", "1a14bbf16f2cbd9f882e37985e208140e5e8ae0d", "948086e011c896c44d7594aba06c0f30d217c916", "5238190eb598fb3352c51ee07b7ee8ec714f3c38", "e5acdb0246b33d33c2a34a4a23faaf21e2f9b924", "1cd5550521877f6865924f5cb70a53106c294df3", "5fe3921038d76a4681428fd9d7f24d1f69c1e490"]}, "processed_text": "droiddet эффективный надёжный обнаружение вредоносный программа android помощь статический анализ модель ротационный лес"}
{"_id": "d019b5ba0cac92bc93661a55181889dda578933e", "text": "На пути к получению информации, контролируемой мозговой активностью: расшифровка релевантности изображений по сигналам МЭГ", "metadata": {"authors": ["2101723", "11213556", "1988447", "2983513", "2927989", "1718725", "2309004", "1711144"], "year": 2015, "cited_by": ["ecb3446d27fd79f38930a2ff5fb236e96b002401", "15054956e567a1a8afb712709aa39f078a69b92e", "d5f634bed16b5b0a55032b29a99996e6f19b2338", "0d02d2d9ce214399855460a38b9a1f138881c1f3", "289162d1097ad26e6b857c5b6050e98097551eb6", "1919e7c0f4c1b5252219f49f3c263db58768b1b2", "d4df3a4b3310ec88bc0b8176bcf86e0a09892d4a", "d7352d2caf25cda0f0ddf33e3fa3a6255009272b", "d443f2e036ea25ae43f5faabddf629a02fa3af5b", "d7379b77691476693df4d093239fb607a741c7bc", "1f4d7cbc29ca0458ea15bfac90c75aa9fdabe754", "8c92d3e7e5aedb463bb8c98ae9579f387880db67", "d04fd004a8070118d89f4301d7654c8b40f7581d", "fe5b337982a3f4e00906b695ad71de666e88a319"], "references": ["483d6d11a8602166ae33898c8f00f44d6ddf7bf6", "0f0500b8e27037b1f6959a8749cf2f083eb950cc", "1d41d6ec4805f80b84a1ccd17f6753ba71e107f7", "a0ab0d7b92bf8cddccc9c599e4cb68361f8e47cc", "f99e286e6714f1688c3185bde520f2250565648e", "c407ecf09027afbd98a1ce335b48f81cca523edb", "84ef2ad8968d07d5828b43d946288465ece4e060", "adb7f0e95904abcca7751d5364ab27505b101c14", "6a528b548f771272378a4a09ec262f83d058c185", "54e7e6348fc8eb27dd6c34e0afbe8881eeb0debd"]}, "processed_text": "путь получение информация контролировать мозговой активность расшифровка релевантность изображение сигнал мэг"}
{"_id": "522bf872909305bd360493ea2b4664a31358a092", "text": "Разработка SPWM-генератора на базе ПЛИС для высокочастотных преобразователей постоянного/переменного тока", "metadata": {"authors": ["2694396", "2460889", "1711540"], "year": 2014, "cited_by": ["4eec110c9c12d3c8ee16f676c273c9d78cc8ed36", "ea9e3aef4274cb9d9f7b3bc54e9728aec0682dc5", "2ae0fb1037cfd0f16d59bb99b87859825211ae01", "2d29e995a794ced103e9b30950a206472aab78cc", "f503259defa7b00dc4985edc9bc4aea581629df3", "6321cc99a0441510964c8c2f1717407007b19af4", "c2d38f77c035979a8be63bc361eb202c0327fb6e", "64552a8d99a433f18c6c6b4ed79ca351e5cf75da", "4e7ca6104ee3d55d8091e6adb4ee616b946e69c8", "7179854478fc39873865f9f7b3c3d1e2ec1ff21b", "b943d45c558d6a1794db4a8f7befc88ecac39b42", "7adfeb367046beaed55e088a78eb66f6f3402b4b", "ff7e4cabde828b663b9393b23d95695d3a300d90", "acd6785348c81043fb9997a7f1d6b4f9db75a930", "959a4dbd52624fd3b0187b91bf36106b9efa2e25", "4e900754aef8b767262f5ee8570a6fb94502f22f", "a5ec8568d41eecccc669299ca69df74b720fd94a", "423f05cc51a11ea84e1193603ca9fdbfaf9ebd85", "0e6c4d1a872a8776154640541ddd263b246d200e", "4984a454c765dec55d062847ed27b655c751d30a", "87c772eafeb746548b27cdb5c3ee321223c0f4ce"], "references": ["505ddb0a2a4d9742726bf4c40a7662e58799b945", "7134b1ea2c5a67d2347e95fd62c525f55a258f14", "a687c41b4c5c8077683b13b471782258396d0bd5", "9cc767997a39ce20d9944c96d281e4b5a683ddd2", "a736af923b2081967e0fedb80647c53a4e916bdf", "de75d6abf4014569b14aa41f5e7e9ca5e180c785", "c5e78e8a975e31fb6200bf33275152ccdca2b1dc", "09091ea97288dcdb151894fa1fdaef106b909b6d", "dbc8a4b00cd6da0d727124d232faaa579d2a4d78", "58fb6c9246dc9fd18085d92514f914e3bac5cc1f"]}, "processed_text": "разработка spwm генератор база плис высокочастотный преобразователь постоянный переменный ток"}
{"_id": "1571f50f52761a7a3537f12a88be487e5a0e7ad4", "text": "Полнодуплексная автоматизированная виртуализация пользователей для мобильных периферийных вычислений в сетях 5G", "metadata": {"authors": ["49354160", "1792391", "4926792", "14076920"], "year": 2018, "cited_by": [], "references": ["f3b37a4ec1276a5ac56d48b9c910c38e4795221a", "95c73b3722b36062b9047fb18fdae0ecff63a8dd", "9b5bc029f386e51d5eee91cf6a1f921f1404549f", "25e6612d7700c76a460ba3bfc55e463a11393acd", "088536c44bcbc67165dc064ba4af0bc015d58a65", "c5153bc17fe1ab323c41325ba010192030d512f0", "c84b10c01a84f26fe8a1c978c919fbe5a9f9a661", "a2196de837ceb746214e0d820efa410e941390e5", "13e89b8808dde54d75ddad6d4a076a225de268c2", "144c1e6fc6439038d709be70aa5484506765b2c2"]}, "processed_text": "полнодуплексный автоматизированный виртуализация пользователь мобильный периферийный вычисление сеть 5g"}
{"_id": "b37225fc67e1aeeb7877c4691f9036ed5cc01efa", "text": "Анализ времени срабатывания стохастической градиентной динамики Ланжевена", "metadata": {"authors": ["49889227", "40085065", "1745732"], "year": 2017, "cited_by": ["a2569e815d6205305f0d28dafb3bb5a178aa9e9e", "fd2cbb7df714a21eef7c0522667e4dff72df6458", "7e40e85380f059bc0ad783170ad6f0ead2330f72", "83b72e60c897a792ca6fa7a8338a18a67a5679f1", "114c0d9600f422494de9e95aac1ca3a5f7420389", "efc62658f62a935fc6bb3e2f97cfe417a2260f4e", "02f125c4d2fca50c134b7a5d73deb49b81e0bbae", "06ddcae8febc07924d5532115affe93ed8be798b", "b1f8b985f706df559953aaeaca6c037f757e1e89", "0e38e8e26df91d841513e3af3c3c7a484cf14421", "ba47c3b4726654f7a130cba27061b92c5c87e7df", "cb0d1ad7c7f7b69c6ed1daca934e796d855773ff", "964b2e2bccf9342925a5b0720e6bd9e1095fe4a6", "1d7fc32e09b9bccaed5f5ff2182bf07348c574cd", "b5fe167dfc45e1d93dccb13f7eb65fad4213419b", "5d7a1eded3f2ca38f0d73a8d5f964ddeacd5131c", "fb83ab70e7b9e4b3bbfa6b77f2d1c2d9a641ad59", "4203aa1f116c8e1d3ad50771a37a6aaea20e9523", "014e1751da7cec01119a9ea579e3f7c20c1dbad2", "412450645ed4bf9adcad0006b4e6ebde9666658a", "40dc2de4f461b0a673d35df49cd4d54b4c9865a5", "b74f852a082b5c9396aa14d2c965b05a505340d1", "0b6ec045faf23a2b8f6232215f6b158e6dff2d22", "eae8b3c3efeeb07a8ac36615149e3fe8b414c372", "b1d4443878a1c0a832d86505112a6d4a86f98ab8", "4ee750cabb39be90ed58239fd3b962cdcfc3f1db", "c6211e65a9eb36ad287554f7970fb4536c1c6bda", "29bcac6a49641907334c8b4ac3e1a427bc2838ed", "53b9cc4e70515f89ee30fbdbc8784663c963290d"], "references": ["7a5c4c09abe864958979d5a8b9d543898f945d8c", "f168ac82e091bfa5c127b40bd0ab327fb3499e51", "9b2decb7c2bebcf817e0cdeed0d8e71b3b1ac2cc", "7f0125544c265cd97545d3ed6f9f7a58d7e93f6d", "229b7759e2ee9e03712836a9504d50bd6c66a973", "91a8c8058e41dae7863c30386638bdfbe77ab6b7", "5c905b298c074d17be3fdbc47705fe5cd0797c2e", "9b8be6c3ebd7a79975067214e5eaea05d4ac2384", "2bc9b58550ebe3f99ef447f9e2b342cdd937568f", "70cd98a5710179eb20b7987afed80a044af0523e"]}, "processed_text": "анализ время срабатывание стохастический градиентный динамика ланжевена"}
{"_id": "41a798995d414b0dadb0678cdf6c3107059c0b75", "text": "Безопасные офлайн-платежи в биткоинах с помощью кошелька с возможностью двойного отзыва средств", "metadata": {"authors": ["1731382", "20619559", "1699719"], "year": 2017, "cited_by": [], "references": ["26e5ba037d25d9d8e99efa5101fe14bbd14607b2", "01f187c3f0390123e70e01f824101bf771e76b8f", "7bf78054192d98e999edcdf08971a5eed42518d2", "3d16ed355757fc13b7c6d7d6d04e6e9c5c9c0b78", "14829636fee5a1cf8dee9737849a8e2bdaf9a91f", "2327ad6f237b37150e84f0d745a05565ebf0b24d", "5e86853f533c88a1996455d955a2e20ac47b3878", "7e29a58137d5d509fe72c6e67ff18e1e5f9093a6", "5ae4e852d333564923e1b6caf6b009729df6ca6a", "35fe18606529d82ce3fc90961dd6813c92713b3c"]}, "processed_text": "безопасный офлайн платёж биткоина помощь кошелёк возможность двойной отзыв средство"}
{"_id": "21b1180af3087c1333708a9873f6d473eabe6751", "text": "Рентгеновское исследование динамики дефектов и расплавленной ванны на месте при лазерном аддитивном производстве", "metadata": {"authors": ["46558925", "40894288", "38219398", "4896722", "32153737", "15967821"], "year": 2018, "cited_by": ["df6c5b869e05a77b764737a961d6d69c40c7bd31", "b5f73b28baf2b71d85a5e1766b5fa0fa7388fa5a", "a61720b9d6afb5225a02b449b8a4ed4d65601329", "31084318f5966cd12dc57d766b81b1fec3aaa3a8", "91eb4b9f781a5224d6000d2d0bc0990cc1492baf", "b1abd2a14edf3a5059235ecf86896432fa70f005"], "references": ["a664a08dca85e2a07e8e4dc57470ffd01eab29a3", "fcdff3c1f5cfc645277e17c7e36ad4a24c3d8b63", "85b805fedcc7c217271e5ec718365f7405836d4b", "f5c772d283428ab2c02b5208feea4025496f447b", "afd4a55032a32583ad67c843602a73167aa93346", "3ca4cbd7bf47ad1d20224b8ebc19980df337697e", "ea389cc6a91d365d003562df896fa5931fb444c6", "019615181a80b6dca5d79a8e72e5eec21eb5cfde", "dafdf1c7dec045bee37d4b97aa897717f590e47a", "d3abb040ba19944c1caa453b43d99f166e18ed29"]}, "processed_text": "рентгеновский исследование динамика дефект расплавить ванна место лазерный аддитивный производство"}
{"_id": "01273bd34dacfe9ef887b320f36934d2f9fa9b34", "text": "Схема нанопозиционирования с ориентацией по изображению для СЭМ", "metadata": {"authors": ["48997012", "1706622", "22298104", "9373827"], "year": 2018, "cited_by": ["4840efcb4249bb065b12ac6b2a7ec40f4a09752e", "dc5de7325fb945e0a76f0b7ea2135bd989db0c0a", "e68e05caaed19fd1c37797e69d677c14c7526a78"], "references": ["6ca6349aeba616147801e9113738e734417ce501", "01300a1a06c4bf514b16ac7d761b4ee04369234d", "991fcb9364da4c1ebbc2c864ecde4c7dd7b3da8c", "2abf2c3e7ebed04e8c09e478157372dda5cb8bc5", "2c6c6d3c94322e9ff75ff2143f7028bfab2b3c5f", "e6d0247b3ec4a14e776f0d4040be2d10a045585a", "1e8e253c5e9daa76022dcef5af9e5cdfabb65f42", "a625ef370dab031bda8c0f26d34fcbd3422c4a6d", "0f206e92b2c9c1bd4e7b573ad700d9deda04e5ce", "ab0aa2083708e919ea044df03495765f566fbfe3"]}, "processed_text": "схема нанопозиционирование ориентация изображение сэм"}
{"_id": "ef1fbd95c7220003835b839c47bdf3fdb7e54b7b", "text": "Восприятие студентами использования Facebook в качестве интерактивного учебного ресурса в университете", "metadata": {"authors": ["46683538", "2624142", "4724169", "47378630"], "year": 2012, "cited_by": ["7858686fc5376b0e134a660f9908edb8bc705a4e", "d53462404688287780fcc37936607767ec2f8709", "322d677a191684ed89cdff6759164f777c2e6031", "4963c5fbd4843864876ae3bbdd9a74d7ba017b0c", "852023a1e7453dcd127f7642ee9b90144826ca07", "91efb881a247bf0e93333cc00e4dc3626d6c2cb8", "5dec6ef173cd3a42b8b72900febe90849eabf5f4", "9f3b130f0b7fe2191dd85b4c437a3d7a42d0051f", "d55bd5b3ea0775f940cc198bf4cde420ce16badc", "5c9f0ce23900e31e66f34e9fceef2468c1b186fe", "a58ae951ee3937ee9f005dbfb8b41cc4198cc1f6", "d5ee2b2bf52f2e770a957a023075035478cea536", "512457193046cf9d224960289247cddee43c2722", "8197d0a3879ee353c25b27d9d803f3bfd6f55eaf", "0150713e4b6ebfe45610eb6744b5457696cd9994", "e8ebf7444e7b0c7b86765328b93e6c133107a836", "c3096c98ff5b129c2921f71dae5ed27bc468ecae", "5d2c344494663ee4adee07616e5c66c3c642bec3", "1406445cc1c35ca605ccde81a13ff15973f7856a", "8cb98d8b7cca8c725457e64b5f9bc3dba1eb66e6", "8dbcfc7d082b527f1bb923e9bdea16b3a9ebd25f", "7f310ba1f96a480ec0238197772bfef6be4dffdb", "a917e6fdc1eba2d777d5586dd1aecaf2f86549dc", "bf7c90f639b32abeb71843ea006c77ebe618ad9e", "87b4f50708318a0bb259c3a639f3485acb7dccf3", "bdb368195ccd7da52a74eee191e213bc367e0ab8", "e97c33a02f87ae63e0d129cf78e871afeaf39fca", "26926addb15f935be55bbbb7a31796d735f1949e", "a1f7cc3ffdb2eb67e029e446a3381974cd0a9c36", "ad9f5209866624a7f7bdfdddb0bf186322f011f8", "61259273316783cee5086d6c0304339c55d01864", "d2cd9b519e07a797101a8ee62ccd274c20223f30", "7d3db0196caa6823881a52fec32bfe120dd9ac9f", "a85618fc780ed704942cb17a5297283aa80c0392", "5c23795c70a335270cdd04d79a77399a37e645f7", "fb6dd969c76b34876259461141a2fddad80e70fc", "6b6b5eecdd4b26678fbfed57c9e5b9deb67a2a1d", "421fa32b05e1c4f8220fc3e5412d1fa241b971b4", "78f3a158b29ebb8656bee3d94aed2f7b380eeb1b", "163717d4e817a0560ca9794232e371c3823bbc1e", "20c46a6652c8b85cd708f36c68d32b61f64e5bc4", "4ab82174bec5889396aef9d6cb37a899e12f11ec", "4acd58bf8d02a72f1a38799da78c9a076e24b43a", "770c66f59779124330599364da878a2ddb9636d5", "79f3b290d1114d96c010e589853b9da04c2fefef", "f4af84df5cb41225f12cf592f834573654b03f42", "2a6f7f50ef17f668c3cf8864d1cc3af0bd2a8dc4", "ce3b27f29abb7b153533cf7304ff2f294918b644", "95bf90aeee0635117aa532595f9e411e9d85e10a", "a7143989813ff4f2ea42a6cdb748a8e4b2e98b6f", "85fc83ceb57bbe00f63023b2c0d9117b5e988663", "0c66b74619e200d8c09f6eaa21cd4a59d558009d", "861800bec09246d4d3d3dabe07c38369bdbc86ef", "943381dd3b197bf7db5d20ec90e4f346be6459b5", "21004788bbc2feb0107ab43abfa9c0750cb84a00", "57e41b7cc07d52a29ddb1a07ea58102ec7cf680f"], "references": ["0649252961b0f0e22bad2c8132b87bbcf6efdbbe", "8486449ce1999ea4723628a234206945f2d42c0f", "68d32b6ff97d58cdcce82ec39cee666377a7e9fa", "c03fb606432af6637d9d7d31f447e62a855b77a0", "2dfa943eed4754035fdcd561942cc08631c17e30", "63db4d4208308853a674ac53938afc57e530a148", "c0b813bbae914d89c702ab0dc2f28db94c3d07e5", "02adcf23b66d9bd9b6a93ddcaf7c87eb89725932", "63310e59b918416252ec7388725f3101d407b8b5", "461ac81b6ce10d48a6c342e64c59f86d7566fa68"]}, "processed_text": "восприятие студент использование facebook качество интерактивный учебный ресурс университет"}
{"_id": "d535ec1a520ca6e29902fafa85b7ab81ad034c1d", "text": "Раннее прогнозирование среднего балла учащихся по окончании школы: подход к интеллектуальному анализу данных.", "metadata": {"authors": ["48155979"], "year": 2014, "cited_by": ["0b91b4d6cad30cc707be28a4a265573a78578e77", "d80262246a903ab93a27bf64ac0504bba046cd26", "1ce5e711fb63348a6a6936710bc4c2b10ea4c985", "33144354d3e7151032d537afa61761f9557f6c20", "4d3388b658790955f9f497e092b8bbf13038a438", "2e64985fca98155e1903660f1a3020732f5c6464", "ebb238061e3f16ea3c8ec0883c99b684fcec5914", "4952bb1175065c07f30e7f314f9f00fa0d1986cc"], "references": ["d12e3606d94050d382306761eb43b58c042ac390", "31c766cde48930b91fff6374074deb7fab26283c", "2fa8397f26abee21547a93bf4dc043a8c6b1300f", "f8fa54498c6f9f90d1cbd26734b8f69e46406d82", "4414ad5fc9a8c5aaa9f1d1380f1a688971a2bc2f", "b54b5e286e016ba6c83d6b24065b97bd97001609", "04aeb32415878a4e9292682447dd3e239874f943", "ca4ddfdb9e561bfbcbc1a3813ac2c0acb35c2fcb", "21fb86020f68bf2dd57cd1b8a0e8adead5d9a9ae", "36ca78960467df529e4921c74d54a332bd99be51"]}, "processed_text": "ранний прогнозирование среднее балл учиться окончание школа подход интеллектуальный анализ данные"}
{"_id": "9de5cc4b40216b12b4c8fc6c8030bcf5590d03f6", "text": "Метакогнитивные стратегии в обучении студентов: практикуют ли студенты поиск информации, когда учатся самостоятельно?", "metadata": {"authors": ["5939440", "2915268", "1921528"], "year": 2009, "cited_by": ["b4ec91e5b4a6087b94ac94d6b3fe53b78838f9a7", "6eabf1cb1101f13865b077793a27111779a25882", "872e6f349de067d5a6bcc6068b2f47a91b02514b", "423688c42335cedff8fb74da5458a0f3d6f284fc", "389c9b8887e564883641e87f312f8db2569fa70f", "1f00766a347625f5147373adb3a6ec7e9df0073f", "4efb146e5970ac3a23b7c45ffe6c448e74111589", "066bcdb3bdd5cfe4929cebce1d617383f4fd1a01", "69f19e0667e98e1dbd63357e69edfebec09ea5d1", "ed09fba524902647616bd6c2f9100d89e63ff01d", "055f5f97a2c5096229a3c5240fcae212d207d731", "2b24deb1307d6ea132ea7029576d272053d4372b", "3ccb03493224d5298eff0929ba8e9e3e2feccc63", "537a6b4073d29889af91ae50d5c87f770406c80d", "7e2701f415c865ed2a9d3195148f4df90c285614", "e51df5aacb5634ad37b4e85a3728672fe921c6ea", 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{"_id": "0bf8527d093600c50208faca0b32eef2372ec0d4", "text": "Интеллектуальный пользователь: Вероятностное сочетание информации о ссылках и контенте в PageRank", "metadata": {"authors": ["2347225", "1740213"], "year": 2001, "cited_by": ["a8438db5e34c9142ccb292aa5df273c93accdbd7", "dfac2ac6bdcfc61b889b3ae788acbd789a13866f", "74ecb6b6b2ca9f49480a3c19fc2dfcfa6db5361f", "21c2071bd83f4e124d5ec79ebac371d50aee220d", "2c4f5dd8d260860be24663fd2e0529b6f9ddaf78", "5504635d923739656f9cbd039da08e3e92d3a906", "cacde035204e012b3dc857d7864a36cb018b57d6", "462852ba991e5f1526e50fa844a0ddbc37dfc408", "e2cce0384a19aa68d5c7ec586cb4d7fba6a447c3", "5f4d248ff2fdc4b7bb522fd25efc82b12c139b60", "23fdec805679b4f0d3a9f475db1217d84c6edb5a", "cfada512072fec308fc5886dbff05db7a9e74e31", "0aed9429a3f30d8a27adc825d90bee66c4a66aeb", "c795533bc184dabf9d5bb6eabbeba3b0a26bb5cd", "22a99aa0d048482d19be55d9f5f53e9ee9a34731", "702e0fc1c354892e79556819fce746d6877d8410", "56c65b9bcc0ff1dbbc7b355332d688608e775a17", 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{"_id": "208d2d6ae61955d93b13a5a497c10ba8c7086e87", "text": "CENTRIST: Визуальный дескриптор для категоризации сцен", "metadata": {"authors": ["1808816", "1692956"], "year": 2011, "cited_by": ["f4940269b216da5e761002a2429bf3936a8e887b", "8b30259a8ab07394d4dac971f3d3bd633beac811", "0d05b7a3fbf425dbc1fdcf71d47baf99832e0ed1", "467f6f9d87fcb9021cb717db9b037db73e1d12e4", "b7d41d5f18d8902c091f70a5fbc7831598854ff0", "0f84073d4556ec8f4eeb0f2c3956096cb220b033", "b30e12c4d0874112a0bc7308a3e41e21932633f9", "8f7a9af65844656f60b28e5ffac28b34a8843abc", "70732a229f9d114f76c895575fe11a9982965d7b", "28e013765bce3069a05247f42be7255c097739d9", "c4e69a89a9e322ca78ed3f1140e74aee5ab844f1", "365188c39d4268377e9aaeff9a1156308ead2bf8", "a7fbe467e2be335bd29efd3ae36c88d6b9f5a721", "e8bde9cb648adc82b6a1f9c2b37cabdfb4e71acd", "548ddd443e1845ea43de28a46bd8f468beba2ebc", "1acf1000d47fd8273ac0bca6f9345b55709f6357", "1642358cd9410abe9ee512d34ba68296b308770e", "788b16995a689a918b7994977350e7db13ef96a4", 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{"_id": "d6be438df373dedf06d6c062596d4e40f59b022c", "text": "Прогнозирование успеха фильма с помощью методов машинного обучения: способы повышения точности", "metadata": {"authors": ["40248036", "50878985", "1917817", "40437875"], "year": 2018, "cited_by": [], "references": ["4257b5dc234e0ecb60fd553a380cfaab3e6417ab", "c8a9f0f555614ea93addfde7b9d77efe0ec36e5f", "5715f64717dd78211b2c86e3061ec9d0c500d476", "280cd4a04cf7ecc36f84a7172483916a41403f5e", "3215a900e4fb9499c8904bfe662c59de042da67d", "c55303b0508ff4356ec3e20b678c9326f50e7ac8", "768b91ca7b743516f0f0992b941ebb687a30ea46", "eb0d1582652c9b342c2f95b88e324e497aec7082", "8391986c8a2885425521767198e3f04c820abf2e", "0723c8e191d84e2ed999b47c213f565330c3c937"]}, "processed_text": "прогнозирование успех фильм помощь метод машинный обучение способ повышение точность"}
{"_id": "ea813d2ae6cdad4d734ad5b8b39522d6d1392431", "text": "Эффективная конструкция мультипликатора Dadda с использованием методов сжатия", "metadata": {"authors": [], "year": 2017, "cited_by": [], "references": ["ea3c32d542b5de5e91c71f466ffd0bebf631708d", "8906ca82b679ad205c944b5452c1586a2bef4c6a", "4d05269d97975cfc5a00d2c813d43093933edf29", "633949a3ec9948876c23e0af22972d7a0650b5c2", "ebdfdeaef871890bee75780cb2ad0c34b2afd226", "525495f514688e176ba8c28baa32ba3bbc98f529", "0f89663f4fba5854064d3618dc36cb9c74f6b02f"]}, "processed_text": "эффективный конструкция мультипликатор dadda использование метод сжатие"}
{"_id": "2a8a474a6b613105b672bb4d58a59d6eafd035ef", "text": "О совпадении скрытых отпечатков пальцев", "metadata": {"authors": ["6680444", "2632601", "2743820", "34633765"], "year": 2008, "cited_by": ["69e1bf77acf8664b7ae4e7f85016e04367bd3e1c", "8538ddf4e85c42b60b6df3a5cd94be47411d3ef5", "a17551bc6648098874f0fc915dd09844943b6b65", "e2b68bf0f8f5854430cc47b4676b1fa3cc928d20", "8958288d77cd9f4a8e9667f6d9898ce9bc309f2d", "c826be61a5ead3fba8b0934ce113cfbcebd48e21", "47348aa71511ac3b352ed55a451a1a175c7909a4", "744a6bd4793a9e1654b5414717ddc727cbb95607", "294fdef287ea40ae18815df0969c8f4cb8333a8a", "17b30c5c86630f554aaf4e2765620eb9347becab", "17b700b22d9683bfddabe1564fcd637fb3957057", "874d2037c6e310ecc0e4721e9565004a3957f469", "6658cf4a8bcaf8968d76ce68930f0bdec9e193a2", "140df24f6c670379b07885ef5d87b5df1925d11e", "7184e77fca79a8a4cee387c65dd65586f99e9855", "a9e0c5162e093783d5d8ed91e7c204ec7686105b", "92f1fc2bc002ce55656034db17f275357c869b24", "2644bfecf02541978d354ab312810e131eef7795", "9e1d4f1dc3526e18425267c171abaf760cc02c61", "f96e23e850827cec955955511a7a30d1f2ffaaaf", "b7705842dd5ac6a9aa420e79ec8b64b9214a0ec4", "13e5025adf7eaf6d3d41a28c072f35a9efcad4b5", "93a94b0b44ecf024f4f47bedf4602c191b714439", "dc252e8776691ae41f0309eff81dabcc4a18d5c7", "40923b823aca778f3eeeeab1e0c693bed4db3d0c", "ea5207e4db7ea6df9f38e3494dbe87f458616b13", "88c86a9d5deeff812c4bb0a2c4edaa8f48e416d2", "cbe864b9fa4a663901880148a4c78bd82a94fd4e", "94f8a49b6ab35fb905b5363d221841267a545d9d", "0a3433348bd8528c7189c03fd6c98d6ea2f7cd28", "d099fdf0a039ce746e651130a54b7367af282f03", "6b6866fbb4354e30ab34db9d6a8a07da4bf25777", "271f16791c4775bef9b39d0aee13dae8903620f9", "0997a16ecd86b64a229b6d7ad0f5468bacd1bb28", "c40b0ca6723c49675adeeaa326dd5b3673173711", "c6b1696fff3ba1a679987abd5b83a080807bd12b", "535bf28beb5011974471feba22a6b8635c5152c2", "bcc7d03e5139d44f5a64ab65a9d4f5acc28632f2", "faf5945ce24e1f9484dcb77b6da415646b56ecee", "2a964bd000279eca7f495a1b6b46938e5a87d96a", "62bc46b40c817c5f136a6e0694f3401ce35ec665"], "references": ["6a649276903f2d59891e95009b7426dc95eb84cf", "d0ea131fa472c9220c2b64c5c96c89ed8a5a9d91", "e83a2fa459ba921fb176beacba96038a502ff64d", "60bacd946022b9a9edb72bd1588ca73adc966b74", "626a42c1eabc8f13b92fd8574be1d5b470be94c4", "1d4cbc24ab1b3056d6acd9e097e4f6b24ba64267"]}, "processed_text": "совпадение скрытый отпечаток палец"}
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{"_id": "2e08d3ec08069ef41059cc3da6bc4d390eaf6e01", "text": "Предвзятость в социальных сравнениях : оптимизм или пессимизм ? q", "metadata": {"authors": ["33382628", "4421835", "2166252"], "year": 2008, "cited_by": ["5109b561f427e9b1eae1027a236933facfaee91e", "568151f69ed584e96ec7d43fc3ce3f70e4a1497c", "cde971aed4ae542df7f24983c3897b99e146921c", "921f6cfae394b01f721e2590f37a9754ecb40454", "05333e59bf85ad62ff1984522acf2636327d7071", "daf1431d0e8303717c002952d687548f2d802c8b", "18f603a7f4ad99ffac90b0595a952c421cd8833d", "e2c90856a53f93265728ddbe260b0e9088f48744", "fc42c36ede8f10c2cc667dcd3e06f1fb58f04af9", "623c99d8b52cc0ea1ac85955948632dfd2ac5b24"], "references": ["4c001f776738c336cafd07f0c4b7f93332b3b164", "f4197e685af100c77ce7e9054e27dd25eb4f0c13", "37f31b4e24761bec23a05cdfb9e1fc9e60f91d3d", "550677a4ce026963d8513f45b6d7ee784e52332b", "75959c002c7c8f1d6a677b0f09d31931a0499d9d", "56983ff56e0cdc3dffb9be0665137d76e4d5f3dc", "75a3e2cc31457039106ceae2b3ee66e9243d4696", "0cc342a659bad633e273b0b2f4fc95918d823379", "bed359015324e4e105e95cce895cc79cae2bc2e7", "25591bb7cdf1098d41e6f0fa5cfce852383cbca5"]}, "processed_text": "предвзятость социальный сравнение оптимизм пессимизм q"}
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{"_id": "c1173b8d8efb8c2d989ce0e51fe21f6b0b8d1478", "text": "Полууправляемая адаптация изображения к видео для распознавания действий на видео", "metadata": {"authors": ["2269886", "2302512", "8053308", "1688792", "1720996"], "year": 2017, "cited_by": ["5a24f1e034493ed84a6157636b4733c1a9d793f4", "a864f8cb78958d2b5674e0a68f7e5d7afb4110d8", "2d470cc75a743a6ccb48ac111946d4176a83a483", "ed8a59edc7408f5583ad0639cf82193d828761dd", "eaf1cd6624d0d3a94b79e5628940c42c6bfe784f", "e5567742e53fd795cba76da8c23ca3123f9f8cee", "fee09485d06f3b00e466ae398665e242db2541ab", "0b2a24e90e55fcf06280a39f2e7a6051c70947cb", "8771a6e7245537c803e3e03b12beb0025a8790a5", "4b47df47a4abe3d428058d89a03700a84654b6c6"], "references": ["82869d7de914f6e82930311dc211880086f72daa", "b2ba4ee184b1cfe54ad33ffbe5af80d2c9b8b2dc", "138c86b9283e4f26ff1583acdf4e51a5f88ccad1", "33079a9baa2609b545e91d443a26087fa84077e7", "3af3c29021cff5f75aa01c9753c1917fd551afc7", "7d9f9a8e2803416d01e0bea9006efc58ecc5aaf7", "180953265b3ad550682c8f0dc693eda87b82ec91", "996ca49f17757a146c0ed4eb4e122ee4af200e06", "9b505dd5459fb28f0136d3c63793b600042e6a94", "321f14b35975b3800de5e66da64dee96071603d9"]}, "processed_text": "полууправляемый адаптация изображение видео распознавание действие видео"}
{"_id": "bcdd5670761de0087d2d2bb0388da697b0d4348c", "text": "Расширение диапазона ZVS с помощью двухактивного полумостового преобразователя постоянного тока мощностью 20 кВт на основе SiC MOSFET 10А 15 кВ (DHB)", "metadata": {"authors": ["38767783", "3921382", "2947835"], "year": 2012, "cited_by": ["ecd4c67f9341db53865b68aadd8099426bfe2bbf", "3a0adea08bd3a20d6266c7c945acfad50f00f5a1", "015a974382d418908a40b13c874cca3a2a9c5572", "bf1d4ba592d5c16701bce96a4ac027a5d9f65e88", "6fc113d7070594c7a1d6c61560d805532b63084c", "4b2a6aabcbdf06d904712e3b03c89eeba6d3c0a1", "801b60d88e5b630d7ef3ad833a1b8253ee66b005", "78bb2c0926495934a165a093e7a72e004c4dbd20", "639e5aba4d7ccff347f3a3a20589a264f9168f6d", "e14ae72ee31b0d3b9797c44d264c619d56db3bdd", "661575e495e5038d1bfd8cb75e9fdbc0e58c0a48", "fc0aef3a89a8a9913edc2ddf2a01bdd03842d296", "b16a8108a18820f4886243e8ff6663c3b94e7353", "ef913a4bfb238b4312b3b0f24812b15d2e1ad58a", "6e31a2a3fe4935b6a6d73d0cf7818e25d1fc2519", "15511d710f0967112befa762f0baf69d6dc7e655", "6a3e07c01c31adafa6a9af0a8fc1b3f051c29220", "26a1f6c0434ac7dc9833a74765ae905e597a4646", "f2d88b8ae02097ab42f6065433b5981627c2d448", "450f7ec1ead448dc67428746fe2c1cce09ae6cc9", "04973137b6a5dc1a09c264760f8f90ab743eb194"], "references": ["08e0fa230f50e7651df015667ada05111651a583", "0211c89beda0032adc0cb42967d92803b875a0d0", "eaae20268cdbc182e291bb2eeea1a2995819f50f", "1d710f29ce139296956fe31d6e78ded479fb08bb", "4a761843b4a93888b40d9f86d11f0ff823ec7c98", "3e055bfbdf6f8eafc84f81b882acab132e81b84d", "e76a3e23045eef7d2463d459ef625b0a66736d8e"]}, "processed_text": "расширение диапазон zvs помощь двухактивный полумостовый преобразователь постоянный ток мощность 20 квт основа sic mosfet 10а 15 кв dhb"}
{"_id": "ad51c1f5797c05936468d1bfe81cb7fbfe711d92", "text": "Влияние доверия к бренду, удовлетворенности клиентов и лояльности к бренду на сарафанное радио", "metadata": {"authors": ["40175871", "48437697", "48999120", "3038397"], "year": 2010, "cited_by": ["934518d542e0ed056bea165768f329479d061b3d", "f20c1c62819b7b81b7c0abf5f8659ff69996992f", "d6a8650c319b3c1e02fcac8164e3e20abe941b14", "cfd8be8ec4876a401c2dec1c5a68a9909052cff3"], "references": ["3021e3f8b35aa34c6c14481e4bd9e0756cf130b3", "f543ddc9fc1e261045ec4e4a66158e1114265b41", "810b6eb14eed807c9b889f378653101889a08a43", "f38e9c51e2736b382938131f50757be414af4e35", "70598a94915e4931679593db91d792d3d58b5037"]}, "processed_text": "влияние доверие бренд удовлетворённость клиент лояльность бренд сарафанный радио"}
{"_id": "6c42c5d99cd594da9fd18c5fdb67e015455dde6e", "text": "Изучение Стратегий Диалога по Смешанной Инициативе С Использованием Обучения С Подкреплением Для Обоих Собеседников", "metadata": {"authors": ["32055514", "1752407"], "year": 2005, "cited_by": ["a046f5a2171306621d52219d4a2a9e983cc03f67", "f0a5181d654d7359c1c16d31b93220fdff7e4603", "de3a43fd012ec7bd037b91302226bdb7e9434f60", "9935acf6ffac2a6adbca7e55b7c9e4f76d7682fb", "b8702f8d42fba6abf40882223890ff378bf906d2", "fd8556d75a6dd586a44f2583f85e67cdaaed453e", "b626754a0fd7de12c87e88165b2484ac5d98212a", "3e180a6f2b8dcb6f48988dae70b951f83b01dafa", "aa134d9e696c5fb49dba2937c7f1ac17504d76c4", "acd1359f7ea84d6caf4c47f9bd05123dc61ae031", "781fe54b7a20c7c5cfc708ca34b5a042f8bf40d9", "a6c91f44110ea593478ed787fbde64677f182cc4", "4141092b5a7c57679cd3147f18ca0f7db858eea2", "82290e4fc3770e0e5695fe36fdfbf483d47a0f67", "78b6c2f402be2345c934fa51841feece00ca8875", "afa55db1fe7720ed991c9fc3f162499dd40e2ca8", "dfc7d7ef3b7318820312c0caef6e0d9e36389360", "d2aa6b64512432d0d329dcb335efa18235be4a7c", "9cdc8d7220816584f525f74d4a807b04ea041341", "9919c29b32ba29f8d296de60747a00676e0f745a", "bc355d7f26e9a638369cfe4e6a4156ceae562945", "845da9ffffd8e7494094641b8c955883059b7ff7", "9d043472a5b6ec8ddfce3a1c291b1ecd357a5232", "08679aac2d98f95855465bd87883e28846bbab28", "2eb07e2b5aef6d0b1ed9e3cc875a4685657adfa2", "4e0cbbb9594ff674ebe58237a6e5670add8185e1", "5cca7847cc5668d6e2cec940a7ab7d6051204558", "b6c4a67307994337d2e2e75d14b2065d7228e1e9", "8c4c9599097621358a0044334a4282724d13d2c2", "ecccac3ff1b9f556539fdeeb0a9708fbca07bedc", "395164b9e833634322fa118db0739498190d0944"], "references": ["f4b409e6ab75ae685d12075214a0d54861f8db1e", "a8930dfa0c38bc2ccceebb50d8c9ab4edf4c01ee", "c9dfb3710cc3fe5e3bab669d685fede26596e259", "56368280672a48c678facba74a3247432bafb0b3", "abe0bd94e134c7ac0b1c78922ed17cf3bec08d5e", "0c9ba3329d6ec82ae581cde268614abd0313fdeb", "81a899aff52fe042f728aa3830c708ef8227704a", "5d49f525e9bd0e62ece1bfd2ee4842cf3bdd2e90"]}, "processed_text": "изучение стратегия диалог смешанный инициатива использование обучение подкрепление оба собеседник"}
{"_id": "9992dfb672e93683f21c571624a4e13d681d79b7", "text": "Рекомендации, основанные на намерениях, для платформ электронной коммерции B2C", "metadata": {"authors": ["40953644", "40951419", "1682921"], "year": 2014, "cited_by": ["e04baa0daf716003d2ad02f11fe02f4d6343aba0", "dbc901a8e906eb385b96b3007e28b26dfbe6b1a6"], "references": ["94a62f470aeea69af436e2dd0b54cd50eaaa4b23", "92cc12f272ff55795c29cd97dc8ee17a5554308e", "599ebeef9c9d92224bc5969f3e8e8c45bff3b072", "ca5df41d6bad715dfcbee9badd08daae6a1f174b", "6bd87d13b5633495f93699e80220492035a92716", "2d1cfc9e81fb159967c2be8446a8e3e7b50fe36b", "bf2f6f3af240a2e14acf2e9e2f0dcbe84918b326", "3107cb3f3f39eb6fcf6435daaef636db35950e4f", "091aded505b84cf87c197875ccfde24d98a300c9", "789ad4218d1e2e920b4d192023f840fe8246d746"]}, "processed_text": "рекомендация основать намерение платформа электронный коммерция b2c"}
{"_id": "06e0780f589f04edd1e55f5a0d9872696280b40e", "text": "Разделяй и исправляй: использование кластеров для оценки коротких ответов по шкале", "metadata": {"authors": ["48288067", "8611534", "40437481", "1909300"], "year": 2014, "cited_by": ["a15f78310f71e5706b34bcce213c1e650bb7bb01", "ede5b9d0d0118fb801d869e340cca2252e86011d", "b4c0fe0090167d6bc9493a987ebef28e052cd641", "de8ab610ae60ac9036dc74c614f72ffa899fcfe4", "ec2373a12358e125bf4a39d728463e0336659aa9", "128cef2283614651543f41de7a41ea645c76d9ae", "ea35a4c9316888ea9bb6af567dca8af603aa9e37", "037e8c4fbf001b4a65e15f58d4727803e27c7ab1", "216541c66f597260e43cb8b0f0907526fe0a99ea", "6371483f1d5a63516b9c1474d8c0924b43c1ea32", "810c1b6267f41191649ef5132f368c4f7a4971a7", "eb6dbf9bfa4693407e5c3fd404baa1603a10b9e7", "340974a695b0f2a3d373f6f26a4e01f954641b7e", "99e56ebc2f3739dfca93d5a92ebc1e6e2a3050d2", "6fe0bd1fae14deb9bb8a0907cad1d9f662f24cae", "a08f4301448e04ce5625460c1f922bd9d52636f0", "052348e7a301fb381dcb544fae5d7dd3e91725e9", "124856b2aef3161eda26d6045b931e7062caf386", "481b78604d23980843c0f2a4bbbbd9446ae926ec", "482e015fcc93736245c0f2fa6860a92b510a1fe0", "2261d7c813fd96cfbd9c55c1b25ce370ca3bc929", "f3e18547a5c34192705613918ed47411d0b96833", "eab54e1201c04f5d0c96efcc165623da5ffc1b6c", "3a730461b0bd7f663a7fc2aab765523b30019fe1", "df70007199f46749857417ae503398bd6b9f807f", "236c83b099e494d36de079314a885926d5cf6fab", "b72950b4a794a513c15ae36da74d9c499033066b", "ad0bd0d820e082093af4b555638f845755b19168", "306b7338ed958873eb735b6f96f0a2c6bbe6faab", "6de743925a21bf97c134c76da5215ecbe27250ae", "e81990aef406d307ae61d46f151e35734bf1c028", "18ab93de2c8d6cee20a0fdce66ee14691565be2d", "d9b193ca378a9c6aa0a9df2ed02fdb6d082b9b0b", "3f50a0be46349bf3c20e057872f2617470e13f53", "e23bd190beaf45fbe14fa790d256e372a879e533"], "references": ["be4834407f8c271c252b11e4ba6ef88184a2f1ea", "1a4bf54c81d888ceaa070b3bd711c0dfb6fac683", "21dd2790b76a57b42191b19a54505837f3969141", "cad818cdb3b8bd2e2837431618578268548209e1", "070096ce36bba240b39b5ddb7bc6071311478843", "50fcb0e5f921357b2ec96be9a75bfd3169e8f8da", "3b073bf632aa91628d134a828911ff82706b8a32", "7545f90299a10dae1968681f6bd268b9b5ab2c37", "cb32690084f87984d2781c5139a1c7111ed86f5a", "f54058271c9bf9aad372a361a5216b2182c1caff"]}, "processed_text": "разделять исправлять использование кластер оценка короткий ответ шкала"}
{"_id": "3ae52be664a249f695988575f8affc1f466c1c87", "text": "Сравнение различных сеточных абстракций для поиска путей на картах", "metadata": {"authors": ["1722156", "1706789", "1796214", "1694170", "38465698"], "year": 2003, "cited_by": ["19beb34a6b3a58fb21817ed90e5d0f9b3c6fa120", "323ea7c26b311a5bb46e076ff494244ccfa810fc", "210631fe03dafd2548bdd0acf1a1a9a47de7b97a", "72901e48d3797789888fd492f55f256e235f4b30", "c63aafa17a27bc0a7bc7c6506735caa9949f64cf", "0fa33c847c9a79d3e0f52e06305e6e2cdc9f796a"], "references": ["21ed4912935c2ce77515791acbccce527e7266ff", "4dc62728555b001667c5567b1f1daadba6fa8b4c", "4d7f7e881737febf75328eb0239b8c1b16a567c2", "5c2e8ef6835ca92476fa6d703e7cc8b1955f108f", "0b44fcbeea9415d400c5f5789d6b892b6f98daff", "f3d4689af9db5bd3aca720b44ea997a472242600", "6f06396aa0655582771147d5988eb133c7290bf6", "e1ab655a388e0c7355d3e442548c660f2b900e94", "2ff60c8f2df9a57b5dfba38e9be6d6401d88a1e9", "24b20f7b118588055346f4ac5cdb1fe22e886dda"]}, "processed_text": "сравнение различный сеточный абстракция поиск путь карта"}
{"_id": "4ec90b7da43e6438cbdc756624b1083f30288064", "text": "VELNET (Виртуальная среда для сетевого обучения)", "metadata": {"authors": ["40515915", "39899663", "2327848"], "year": 2004, "cited_by": ["ecf9c5e51b6888ecb4a22c7a10b0d83205ed6850", "5ddb725369b82f0250c246cb9ad4b60e6c6bcca8", "340a23361ce25bec1d7b9cfab566a10c5b8fde71", "101d6d5886ff4d3757b22ab1da846e37ddde7415", "a72e7762327e4e8e8d4d4a5af824d27afe6e8587", "2e184fd9b1af5332b4dd08884dc471132065ac65", "6abb9a6cb1fe69a21f71e0d69f0dfe3f338dd692", "e2f4cb4107b483ef0ee27717531a4637bbe99c36", "103318218375bf21344cebe4a533660f044898e0", "8d6951d63531d88c2c3aefb086612308321e9780", "b4be6f4de45c5c2199d9b11893738efebe678a5d", "7b9a17b5741a72da17bd9bac6e2d4b428a18916b", "f9181120e2801afd6e7f53f018fb697dbfe1389f", "7f4caa79c3f579d7860fd48f70ac9ce2d4f8670d", "c910e9d9c7a03893244d27204b7fa942b7e5a4bd", "8bd709e1dabca4b1fd0c44a33d1b34a22f8bf0cc", "b4d58605889b92249b91f3120dcd0675c3c5af5b", "75a9e38b8f2e63b397cbf2af58edceac98e6f145", "5e6342377d6c31500fc0dc8221a44e90a51fdcac", "c5126c741eaae6130126db090b0fd91454e1c72a", "257ea78b43a67b7f6ac3c64e2cb1283cec377454", "0282e5515009ce7c0542eff19cf4eb3b427d8b19", "1fca7507acbf927dae18a2556bd722238efe142a", "619107bcb124194b0a61e780c00724ae6cb0cb4f", "503df362b2a1a5ca0380da7241274243666261bf", "9292ce9ee8de4ad0f306b97b38da5f0a0e54cf07", "3e3726096907bef97751acd1cb3d07e493b61855", "af4d3407f72f31029cebab954730eb9f094c20e5", "6fa96d280d3222ec0a431fcb0342e1aca5a188e6", "0b4f5ca4c227d8b287b73ef0b49b042408e12ecb"], "references": ["0a45ca7d9c6ac32eeec03ce9a6d8344d4d9aaf1c", "d67638d820d98397d7d4005443fdcfdff40a55e8", "ae8645e27b9e4278da40a44e8f73036ed23ac9c9", "e521ded966a6be4aeebf689ea616e0d6d165c3c5", "273baf1d71e2d83b005f0a901c2b2dc313f1ab89", "13e5d19a91a9baac025f741162f0e2893e4a5b39"]}, "processed_text": "velnet виртуальный среда сетевой обучение"}
{"_id": "89bb989b6ec9fe52fcbcc94bf0923a14ed6bf245", "text": "SOF: ориентированный поисковый робот, основанный на изучении онтологий и частично контролируемый", "metadata": {"authors": ["1771749", "1678926"], "year": 2013, "cited_by": ["a1d583455cd55dd47cda3bcbb5028b17477a6589", "f998a99ae4f5e5082c7cbce19c785797ae63ed3e", "b23b52c3d9d500d8e07c8fc433b1f13a01425532", "caf6f1d500262b3a998476af87d3b9aa92c85da8", "9e4357a64c9d333475f565f2dfc23319c60152dc", "a49b9ea3a80bad7080a1e29dd7af317153d0e747", "987f0133f3caf7e46719330844e1b64d2341ada6", "56b0126b1faf39da50cae97e7fdace7dbffa845c"], "references": ["2599131a4bc2fa957338732a37c744cfe3e17b24", "4fa0b3ceebba6be4e68f92605b45deaa0a214f3c", "20720cf63047f1998842c71bf2df2dfb7671e809", "2b5bd074b9675b05ebbb3b447f65b85bd5a7c4d5", "4426caea4290d9dc00458143704c64a6e6d66ea5", "23ebda99aa7020e703be88b82ad255376c6d8878", "b9bac30189b078b1a78667bc3fd9302e1e18ef8d", "5120f65919f77859a974fcc1ad08f72b2918b8ec", "99522e60e25b48daf53b0b161465604a017c6ecc", "7ae94f249ec34258f76400238d357c703acb1af4"]}, "processed_text": "sof ориентировать поисковый робот основать изучение онтология частично контролировать"}
{"_id": "be62e87ec5f7a27363a723538c519ef9c51a743b", "text": "Стандартизированные расширения для высокоэффективного видеокодирования (HEVC)", "metadata": {"authors": ["1732207", "1713665", "47558464", "1768004", "2429944", "1690385"], "year": 2013, "cited_by": ["2d91352a1bbed5710039254c8f5db10e2165a9f0", "4735333ebf8cdc30c80185a1e60db5bbe5dce22a", "4fdeb307b701e608c14e528d3781324fe97bb6bb", "7f304ab3a81efca03056e8dd5328f7a6831f9bb6", "2ec920071f3694d4661846c09bb9505d69ec7feb", "1158443b5a7255e447fe77cc5dc5c604710ec665", "b7967d38ccee6c0675884585981f069ed6669017", "19cf0fe8c319760d0d981c8c1d10d70196733e4f", "becb7590bfde188a1dd82aca4b6ab4ad02528a67", "484b6cb9e46cdc8cc7987dba70842054b304b9ed", "6db2d2ad418a7aa9135d6d30a7ca7daba07ef1b7", "676d798807110f3ddf6f45ecbe80ddc4b34b9924", "cb754f917d88d3b01d7a8210e2392865e78dbc12", "17194ee7bdc77569e90f053347bf8fd17701421b", "e1fbd718a021221d466a16e0b3fd941185fccbc2", "4a79f6ecb1c226bae6636dcc4600b0fdcd198578", 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{"_id": "8610bc0c41e075688504f5da11477d8b3628a2cf", "text": "Автоматическое распознавание фруктов и подсчет по нескольким изображениям", "metadata": {"authors": ["2358469", "3151920", "2885620", "3103340", "39764221", "82402829", "30129613"], "year": 2013, "cited_by": ["69610d8873a5632cecebec60b11bae65f946b837", "0c2a9eaa4527100917ed0191f1739d3082a655d4", "5cf0b571c20e77c4674c177205cf2fb99225ea2d", "05493de8ed6cf171635ccfeda72eb963e2e596a1", "3c690278b21cc4b8b89fcca699e580d32fb61ba3", "c42812cdbabba67045892c1392db9bb25215f1fc", "46dadbcfc5d4be8df0ddfc6dc80e448a15544e9d", "240b970cec5ca2ad9f500a81b70747a72f7e0985", "a3d255efeaf94af2a2030d575e0e4783743b41ca", "0ee0b881b1525c95352a61fb70baa2cc4c61f3f1", "10cbf4b88a29b7270ef7435ea1301ae2953c2dc7", "07d6eb030a776809396bfcfeafd4dae482f32d9b", "73d62b6667544d5feb41ff2644b1a1a18221730c", "ef819462dbe30ef633e1ceaeb2fae3799ed0867a", "668019bb372866dda1045a1942e09dbbea891012", "8cfb2264a32aa90e5d5d1450248274eb9a90f618", "a019437679c54554195ce55d92b003f313c7aab6", "513461e30d0c760c7839fbe92d918f00b91bfc60", "b67529a727c84e079ab7e59c3b34bc93587426b6", "e712ce4b0c3eaf22c109825e035f92f86939746f", "b95191e4672475b32d0a4c571bd2817659747dca", "1fb6be3906a43894040cd7982068dbefe01bbbd0", "39ff5e6fb3e520ea2eb8baf4e3971aa66d547980", "4ef826d8915a1b28980ef883dbd623a8f9bf54f1", "9397e7acd062245d37350f5c05faf56e9cfae0d6", "873d6e968e0fb70803eed38632cdf86580fab61e", "809d77c7dd82b7874284eac85260cc792abd30d2", "f95e6af9d8f75c5b1222f1baa062299766c096a2"], "references": ["bbcaf1e3eadd22548d6e184e9fb8839839293968", "15c55876981dc2a1a17882dcebe881fd4b795f53", "ad411eeabc8056d354895345d1baf5b81b7dbc44", "10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5", "8b207ca9adb99c40f463d94e791fd85e9114dc85", "1d2990c805afa9d4f7cbb79c83f9cc5beb0163f3", "14e9e269c99850c47560e54d310b4954d9efbb50", "664d47c2cd4a07eb3dff82d6466453f5e8ec3bc9", "3a6ec9f93b5cd42fd57d9acf0c1e8c5af10ec999", "9a972b5919264016faf248b6e14ac51194ff45b2"]}, "processed_text": "автоматический распознавание фрукт подсчёт несколько изображение"}
{"_id": "a11de72de4723edc3e8cffabac259cffa13ded1b", "text": "Самоклеящийся емкостный электрод на основе углеродных нанотрубок для записи электроэнцефалографических сигналов с волосистой части головы", "metadata": {"authors": ["2076258", "31480402", "34331906", "3028771", "2315492", "46542789", "48602059"], "year": 2016, "cited_by": ["f79a49991f092eefdafdb4f5a9a0c437e6a53e14", "e92028abd057e299220fbe5b52705aa61ba13dd5"], "references": ["c0bc1ad49e2599dd1551948e7a71e4ab62cd1450", "75684f503edab8706a9e03b31426518ecc6238c4", "8353ee33dc6aec01813543c87dc8e5191c5c89fb", "bf7711df71543eed90773bcb8da7766a46cf60e8", "c8d665766b6e7661dbdef3fe80ccd5be7579aafb", "10254c472248b5831352eaa2b542fbba455a4f0e", "fec0bedd5eb0973133c2aab0c6f3727b9f8a5484", "abfb7c28d478f07d04a78177f2eb68031cd07794", "3bcb13f1ec5b12e70d61bb35bcd6cc44c3d21b3a", "3f9c6782014060641f6141be5f954a197ea28baf"]}, "processed_text": "самоклеящийся ёмкостный электрод основа углеродный нанотрубка запись электроэнцефалографический сигнал волосистый часть голова"}
{"_id": "431bbc47ce90f5e0eb8388fa80b0cc4d7c26ab76", "text": "Использование STT-MRAM для замены основной памяти учитывает площадь, мощность и время ожидания", "metadata": {"authors": ["47421042", "40350194", "36895144"], "year": 2014, "cited_by": ["49c5147f8244a358597f3bd33fe1e5fb309b4948", "48ccd54174de79b67246ac42e5348ec4a900a4b1", "7dcfb6a65754220147c1a0f037dbd0dd1f34de61", "03d86971189da26c01295f5db1abe67cd5b17c8f", "0e4cc45805e465b11bd5bf50d516fbe0eca719aa", "f621882943a6a8f185701896eddfa46e74b1b3cd", "ebd77a10c0a3d0cb434ea03282aab26a83845971", "d5b1f0920ce20c77a4a995a17f13df8700b66844", "e9414c8ff516dcb76fe46ff3a652c470244c2a1b", "7b136009bc9b72c871f7767cf2ec16111958602a", "d58c56c071bfde3a00e17fc2132afd9a884dd765", "ade8c18ee4dec3d4c5843041c22d0253b818ae37", "e423c74455db069e6a5cc21f68954081ad22a36c", "bd189a970e57a28bc36a0c6d6daa3f5128537d23", "2365de109b5e1cd4080b5f72b35862173ad789da"], "references": ["9350f868b855ff77582b52a15f421535798fcc51", "1600c3ed12301b06a1107a68c2de84fb3582a918", "a95436fb5417f16497d90cd2aeb11a0e2873f55f", "f790b208e0d0f4bed581c3ee4fc43031c2e64c13", "49e40a1666ad79941509cf0799aa9ea986c08b92", "2621b8f63247ea5af03f4ea0e83c3b528238c4a1"]}, "processed_text": "использование stt mram замена основной память учитывать площадь мощность время ожидание"}
{"_id": "7b787a261a82e5488fc972d2b6541f778c81ed78", "text": "Опрос о применении дополненной реальности", "metadata": {"authors": ["2646620", "2264947"], "year": 2016, "cited_by": ["d45245315e806b89e109dd2a3be04b627ce6cb55", "489f23704f3b305e72c0aa58f7861352cf13b5fe", "ee4b78f85b39543cc7a947c98fb4e9a5176a74dd", "ef2470d1bd36b5c7a60c992ca97235246da1d1d5"], "references": ["04219587fa859443603e6491e6cb786ff3323e8e", "9cb72726ec0f5781f0c7443fa53acda3c41ee233", "fd28a381d483d936590ae01a6009e1e2e5d3362f", "ef27d185b08f57a3804295cab88158a39590539d", "1adc43eb3cb3ee8b4f2289ed3533b6f550a3fefa", "d1baa7bf1dd81422c86954447b8ad570539f93be", "87806d658ee71aff6c595e412d0a96187a2dffa6", "3244243bd0ab1790dfda1128390fd56674c24389", "56695dbdf9c49a4d44961bd97b16e3153144f906", "2dc04968c3f517c820dfdbd8b3858c290bd8fd3d"]}, "processed_text": "опрос применение дополнить реальность"}
{"_id": "045a50ec31973fee15ff967f18e016fae77fd1f3", "text": "Характеристика надежности оборудования для облачных вычислений", "metadata": {"authors": ["2369533", "1693689"], "year": 2010, "cited_by": ["d8ac0ef04e832e7f0eb71a3c59953608db0aedf7", "473a60bd901dad0544450d8be706df7e770211db", "ea145ca2538d5272f67f3f93d39d1314f4b1f994", "a5dcd5db2b78a2990613234c65ef7c87e69846a9", "a02a37269f7cbcbd4c8dfc0ed85965d573a75b95", "ea09d950da24bdbe22f8c5c94ff4bae822cc7ad8", "c62c05680ded66f4ba6c70135b7f4b5a17117719", "d535a1221eb82a276c52033ac7b2c1fc327a1e74", "38ec9ce811f99949ebe75fd40d9f81a4d9e0f87d", "f1eaaccfc03e06c9ea5ec99162c7a6a118eea155", "909a987decce0d2e106680f24601f2d26eb2df76", "8246205c86b21849bdd2808004cf8d25eadcd00f", "070c3a8c3ce10277424f23c01a54b377478ee59c", "1c4337feb7d31df7df5c8736f542f2720c131849", "29541da4f9e7de4b2ef765b155140f5640b92d2f", "ded941e80a42b2af2b178624ed619a1102976452", "61875bd6e39f3d979406ecc1ffa4168744f630c3", "f3434e34fe2e7aa2f918eb8ed09d12db896cf4e5", 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{"_id": "7e7f843b9638ee9dc321fcd348ea2185b9126854", "text": "Знакомство с Графиками Развития Событий на основе Новостных Материалов", "metadata": {"authors": ["1734151", "1755321", "1790764"], "year": 2009, "cited_by": ["d513d05dffbb83dbe4d3a2f9d221eb81323e3466", "846b3c6ca55d4c05f2f817eb41ad5def2c1826a7", "ab5d303fc1ddee48f483c4a5cd30f1d769296224", "2206d0a0464f4415bba9225681d2647e89151750", "86e52e7d180857e2c6b2f262039e0e0b66f6af35", "d820bc7a7d96ae62716d980bea0cff72b93d9cc3", "d0b72bc2cbb6566eac4a88d0cda67cc22ba76027", "4c4e575f3721727d7553c14a5ae2ac50053d2ede", "1d81cd696ae5d727d09995b8e32b9030d17197db", "f5c59a91e2f291244ba26a76ca0f64663a07e055", "b41f68cec36138d3fce960f7939b4122f666bb42", "28a9b3848abcfd1e5b13bc0abb0c6c33b00a625d", "c9e06555526a39ee7795530c828d3ab1124e5e2f", "13d757f6f1d45fc862d8df0ed301ed61bc1fcfd4", "fccf92c4d59b1c697f1a83ffd93b05678b386aeb", "1482c3e890d4adbfa0c7f565aefbe4921f3edd49", "7df13d83931adfe9bba3fc7fb8d14980a79405e5", "43708229c37e07a169ee770a523b98a11b9ccb1f", "1d536a2055262d82ab7a3ac81558a74f3279b561", "e785d401ce52bab8b526089f035d85cb6d3e5de3", "f7bcb5e745ab5f09d2317d86544baf42a10a7b47", "f190e63be514986fd3c63d23da2fbfe7108cda4e", "92c4d62c3847f9fcd671d052a9a8d01d4a9940e7", "5913d28a67ecce91736ef7568a39735e05fb4fd4", "af74f11e10e251c77a682d4bc8e8132e8df2ce3b", "cad0415508ecb7e19173e0a321efa16b8c9b4d67", "73594968191bf2f5f88f0185d966850664c3e88b", "e23bc5724a556c4bae2eee54af60d8d7a7b3d8a1", "b90acb7afab472217d1eb0729d62b5b6ddb3ad21", "ee6f2d6b851d71a90c9e1d85b26b87f981fed872", "307ca4eb46950cf93a20afb932b92c618ac2a5c3", "c67f90c1d4b02bd3e3f429c461f4b1a381645922", "7e50e68987d34f7885ac42f7528226de082c4599", "3334859dd1162cdb93e5368a897176f94832cc64", "0f62c4304dd17d192a5fcf770081ac9158b258d2", "dc37a5eca75f7dc1564eff0f88522d8a770c0a41", "bc3ccad6a3d20e3a6925d04a04d5cb482cad32fd", "1b79289c370f1bc6836e92550948f2f9fe1bff63", "918db16aab090ecaef1a347da1e4340bf5f190ef", "b4d735e360d4cd4927f4cb6fa9bbe943bce9d88e", "f085e39c10f6f9f1e2a710e72c50cd99f7700400"], "references": ["19e8aaa1021f829c8ff0378158d9b69699ea4f83", "7df47b761c4cbd25acf7140e900d099e5fbe152e", "334dfd534fd36c61411a0ee0335870957193b669", "34329c7ec1cc159ed5efa84cb38ea9bbec335d19", "9d4694f2a08da8f34133add0c725269084f898ac", "c704c2abadba5d53f556b6058cbf2df02686fb1a", "7a0e5002fbf02965b30c50540eabcaf6e2117e10", "1e7280aa79434bcfe115532b526d9844c3580439", "90fbd777cf57096e9292601dfe0dbab30198d40f", "00790e476990995b95a8c88954fcdc7553e28e7f"]}, "processed_text": "знакомство график развитие событие основа новостной материал"}
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{"_id": "2094f315289ccf9b676e0790fb3dd1bc4acad98c", "text": "Представляем MVTec ITODD — набор данных для распознавания 3D-объектов в промышленности", "metadata": {"authors": ["2237194", "1983310", "33609329", "41021211", "36494513"], "year": 2017, "cited_by": ["e6e5949464c38ecea94c3c295ea65220bc19f338", "42ed1473436e137e9bf834271924109ca9c35f16", "b73807fc754319ef0dea45bab37d5e78c1286314", "036f8142ff8b11c33650026015265bf6b19e4ad3", "626a93ae5c64fb54951a800c7018bf4560a1f1b8"], "references": ["1b6cb11bb421b5fdf7ed95b703cf5d02f070391b", "2c2487e2b3718e50eaa197b09916932aeb5c9bdc", "3ffce42ed3d7ac5963e03d4b6e32460ef5b29ff7", "e3d03f9d2693bcfe588bcb21b0ae607f21775a08", "036bbab00ae5d1f34628b4e42a95f9bbeadca19d", "883b2b981dc04139800f30b23a91b8d27be85b65", "242caa8e04b73f56a8d4adae36028cc176364540", "9bc8aaaf23e2578c47d5d297d1e1cbb5b067ca3a", "4f6a0ae806f1a3dbd97ac37c3c527745b113dd1c", "dbd66f601b325404ff3cdd7b9a1a282b2da26445"]}, "processed_text": "представлять mvtec itodd набор данные распознавание 3d объект промышленность"}
{"_id": "d6f71b84f703152a08226d1c7e61cab888380fb1", "text": "Распределенное обучение по ненадежным сетям", "metadata": {"authors": ["39278465", "1746150", "37833666", "2312211", "34891793", "3311387", "1691762", "1776014"], "year": 2018, "cited_by": [], "references": ["11fa28d7c0802c2ae278e26ac13393707e4fc063", "7d41e80b97db14ea86d6c41e5dc090fd7e8da938", "2744608cc6d60b33fa83a9d6b29b119f9d7e7439", "9583ac53a19cdf0db81fef6eb0b63e66adbe2324", "2770af2c74f9b82f2167cf5773ccc94d482ac8d4", "382043e17fba5c43c8a0af895cf754b82fa350d8", "0d57ba12a6d958e178d83be4c84513f7e42b24e5", "2d78e4e1f55767ef67786a7e72ea8d734aeafe9e", "301d1f3e87cd948aa47e7f9bad087d4b5702ba15", "3f1ab8b484f7881a68c8562ff908390742e4ba90"]}, "processed_text": "распределённый обучение ненадёжный сеть"}
{"_id": "43bb00f852d1d24dec35c927328c17fb01a54295", "text": "Автоматизированный лингвистический анализ вводящей в заблуждение и правдивой синхронной компьютерно-опосредованной коммуникации", "metadata": {"authors": ["1697703", "31644843", "3004858", "50501718"], "year": 2005, "cited_by": ["a06d90ec77474ffbd2b8fb94a6e9d5a56bd23d1a", "0cc059d1e52dd49ab28e574105ff68f1ef5fda8b", "ef8afd192ee80d3a24472deb82771a970718d1a5", "b575963abcf454184a2bc52bb4e7468245a7ec5c", "7a43ae5dc17fd679119ea313ffea144d17c338a7", "5f0f005659e3c607e41a99794684871378af7fce", "59f436f9e2d9ffc394568add768b546ea1c16f0c", "8a0feabb674d823be720620c2a1b4413fba93982", "91330e23cad6958cbe868291d39c91fbb249dc52", "dd29b735fa43b631c0e85d9556aecde6e072df6e", "c4c2458510475dc49d84223bd715a0f6bc43be9c", "f9b3e0fa7ed795da010fae6e9dd6eb01a82e9705", "65fba4ab00e28c652ad5ffafa93b99a0b62745de", "b128d08d6f08b6adf1123a566aaec0aab82a9752", "1c7d4688f41ee5d08db76b06fb1641bdfc3bb8b2", "1f06627783bf32de60ba48cfb5f6fc5a435989cd", "d4a3c660fa9c729ea6eecbba53d406fa5021b581", "7699de7a086b1d2bbf8c9b5b3f882e74d66e897c", "701a429ba3ff3920e5061ab0228da102d758e403", "4c859ea84136702d4ed5ca5cad2c6d029bc5846b", "8f7ae114c09f84764564a78f9498884bb5e0f03a", "c6c9958a01079961d69e85d8e80eda9cc906d8e1", "722664874395482fbc62402cc98591925fb3afbb"], "references": ["5fde41f9fe0c08a197de361f00ed983cf2df47a6", "5d3fa586f94bc8964a39bcedc52a54ef1b1fe39f", "18957e004ca9f5256cf384c523293eb52d5c69bd", "87e60f2a883a74b2c9bf7eaebc37d86753e130d2", "e78a0b3869acc99ef37b98c79084a2a8e323eafd", "7ac64e54d377d2e765158cb545df5013e92905da", "c3245983b40b3c9b90f62f50bbe99372c04e973d", "f8a5ada24bb625ce5bbcdb9004da911d7fa845b2", "2373cfd1ceefb253294ac97c63522671adc26c2f", "234a741a8bcdf25f5924101edc1f67f164f5277b"]}, "processed_text": "автоматизированный лингвистический анализ вводить заблуждение правдивый синхронный компьютерный опосредовать коммуникация"}
{"_id": "a152205a7d745afa335322587e8f78c8e5e85111", "text": "ARMDN: Ассоциативные и рекуррентные сети плотности смеси для прогнозирования спроса на конечные продукты", "metadata": {"authors": ["1782727", "47377533", "40901369", "40900886", "9611741", "1770124", "3265634"], "year": 2018, "cited_by": ["aa488db852f4f9f0ed5593f1d176e3d959cbae8d"], "references": ["760948698540118031e590fbc884fcea209f9104", "0d9cc7bdadc052fafe0af5dfb0b93a76d4f5a299", "c73b9b2393cc0136c9a7ad89e661107ba0ef73ca", "0915028333e69daaa5f27d1a28d8e6a0110fcc7a", "a241a7e26d6baf2c068601813216d3cc09e845ff", "15cf63f8d44179423b4100531db4bb84245aa6f1", "4a861d29f36d2e4f03477c5df2730c579d8394d3", "6e820cf11712b9041bb625634612a535476f0960", "4f9e6b13e22ae8f3d77b1f5d1c946179e3abfd64", "ead572634c6f7253bf187a3e9a7dc87ae2e34258"]}, "processed_text": "armdn ассоциативный рекуррентный сеть плотность смесь прогнозирование спрос конечный продукт"}
{"_id": "0491b1a097378701dbbab2ce9dcc2e109a95d97e", "text": "Темная сторона инъекций с помощью канюли: Как возникают перфорации артериальной стенки и эмболии", "metadata": {"authors": ["5361257", "8358838", "5026559"], "year": 2016, "cited_by": [], "references": ["d716fc641181fc3fe2e77f2014eaecad2fdde246", "efe9f690e6e521946be280dc4a3a6d03e6dec7fb", "38a570e46d99e6023aaf80834186ff1a9b4ed5d7", "4a54b59157dc9a691d0e4a99f067ecfb34ced3ab", "04cf655bfc5da8ae164626034734e1d409adf5ed", "4fe406145932e6ad2cdca4efbd237901b0f97a29", "b65f3cd5431f91cca97469996f08d2c139d8ef6a", "50f77fe29403d763fa6b3ce4b642cb7c82bce72d", "61270559b16c2142b55251b489c1cc6793ea1034", "65a59681d39a7311901d8e341621f61727442693"]}, "processed_text": "тёмный сторона инъекция помощь канюля возникать перфорация артериальный стенка эмболия"}
{"_id": "c6c171d2a9be192d60af7b434e4ba2fcbbad7f48", "text": "Нейронный машинный перевод с дополненной памятью", "metadata": {"authors": ["1718717", "7670835", "9106055", "47859328", "2157514"], "year": 2017, "cited_by": ["dc96cf9352dbc2edaca17624e21089bc8b223649", "856fe866bcce5e7a540655bea6ecc7406bdcfcba", "14b30ebc7ff9b3b7f96c0effba0ea52f18dd2950", "e8e1997e0de1be92c93c3bb3c8e8e0050313b926", "09c9d462b0a6870313ee7c76033306e46b9c05d8", "a248ff4027ab04973063e6992e6cdc4d3e31f27a"], "references": ["4b889df9479cac2479ac14dce12a6050d9b103f2", "a9b741b6a6159866d60b7937ef245dd089db036c", "a2c2999b134ba376c5ba3b610900a8d07722ccb3", "8729441d734782c3ed532a7d2d9611b438c0a09a", "0e2795b1329b25ba3709584b96fd5cb4c96f6f22", "9d430144d09840128a72d72393e4e0c33e45867a", "592a6d781309423ceb95502e92e577ef5656de0d", "74fdaeb2678aba886c3d899f66b4197b901483d7", "6eedf0a4fe861335f7f7664c14de7f71c00b7932", "9999de91aae516680e2364b6d5bfeeec4c748616"]}, "processed_text": "нейронный машинный перевод дополнить память"}
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{"_id": "181d6617e6233062683965006ae5e08b0db4f0c1", "text": "Оптимальное назначение целей и поиск путей для команд агентов", "metadata": {"authors": ["40565830", "1779724"], "year": 2016, "cited_by": ["37bfdf3df7efc0dce4c5b9290b54710df0fc63c3", "c6181b49582adfaa3c93d665fa3bf4ca213070da", "15250b082951873f825bb85f61144fde500fb38c", "e02762c1276dbf0b85c58883b523093974492f6e", "f67b5a8eb53e0d512912a81b71bc629503cf7371", "e5b35ee50e94b6e9eaa24c48cfff543ca0333b02", "86a6b618b26c20372f4fdf87b33e4dbf9e9379c3", "fc5dec9962811676c46817c2c6df2eaf0f82c56d", "0b44e93602d0ac1bdb7c1b74ec7d66eb64bdcd14", "0c9ed8b3ad1b9e550eb79e7e30f6f28351a967c3", "e91c054bbb4fd0c95375e07fbd64a477037d67ec", "ac49c645f75b42f4de9f11b5bca914c5c0b42ba7", "386acbe260ea45979374ffcc7a951087b46646e3", "8190707c51f13e74e782b0fe31bf5584dcd37b46", "723b57e9f37b16cf9d994d77129400d1bbc5be8e", "26deb8e69c0d5538d96a8ea5f604c40120cf3906", "e42e7f372e8e6ed4c1e74621bd421adcd6b842c2", "1354101b9485773af56fd6f1022c2525e3c2d8db", "8c3daf2f7095b2dc46efb9247c22da212da4e9b9", "f5be34a64874589eea54aca78a62f10f9b9224db", "dcf706fab6e5958191c9de033a5c39af94efedb0", "692ec0daba6a43882670e9b5d8d8b4cf9e637e97", "4564b6fc523b99971b4b00f28e930e8e0304e7db", "5ea20b2b56b7f994abe3c1bf93872fa88c21f0b1", "ecb5390a7a7a75c476695d14d01e609307096931", "792f19f137323e335b144e548465d483b9786068", "9ad79bab9260968ee5fe5c1c27039d201b68036f"], "references": ["2f95a3d17638fe756fec46659b9f612f2655c710", "a0a324315858a9016894a215ba6c7cb1fb4f398f", "34df85f4db9d1389c63da17f3ffbb7af1ed2ea0c", "637f6ee56edfe72fb1fe5a8dbea2437517df5a06", "a90bc5e04820ff41e86ccecc220356438204291c", "679efbf29c911f786c84dc210f7cc5a8fc166b70", "468d43734488e0e29c3c11f2c15d9b1fb6f1adc4", "46cedbefcbda4c29151632a6b574cbdc513d76da", "00a088c6e7363dfcd5aba143117100e1f903475f", "067f9352c60a9e4cf98c58a4ddf0984d31cf9b46"]}, "processed_text": "оптимальный назначение цель поиск путь команда агент"}
{"_id": "1066b8c0aaed299874e1989998635dcb879bcd0f", "text": "Перспективы прогнозирования отсева студентов университетов с помощью машинного обучения", "metadata": {"authors": ["33771348", "51313052", "2477359", "51291751", "50603382"], "year": 2018, "cited_by": [], "references": ["72df4b2418ce2aa951e0a29f6bf04d9df79aa812", "77f26acee9ead5343721aeed630df6194dfa0f2c", "60cae7e13210bbba9efc8ad42b75d491b7cc8c84", "72745b49a61e1964d80a3b8ab63ed45ef346f9a6", "045bea0ba696fdb06e87d179b78ddaabae48c91e", "4ac8a65868832019528dc19ff7701a74efbf37f8", "548a49c717dc1ce0263ceff445b5609361c26cde", "6b0b7d2eb3e99a231fd29a229ecf300a0ea42c24", "1cddabbe3ef605c1e23047bc83056cbcd0d5a6cd", "1d3ddcefe4d5fefca04fe730ca73312e2c588b3b"]}, "processed_text": "перспектива прогнозирование отсев студент университет помощь машинный обучение"}
{"_id": "23ce229565447f22d5ef2b6d7cbd6d8003254ac2", "text": "Глубокое семантическое сопоставление признаков", "metadata": {"authors": ["1829078", "1796707"], "year": 2017, "cited_by": ["b591db6b04f1bade3dc29a4a71f6f454f4cb07cb", "870f720fd209b0b4f4b6164d59b816d0994fe413", "0fd8446b702162674ed15117db9b93ff545194c0", "697a615b140a9e1fbd869e7f30f9aa9801e8fa2d", "e97d824b8e80670d49d53c402f99e0fbeaafacdb", "2b0ec1cbe6d358138f778d10ccd83ee4e771f009", "b6b9d29d25de42d78f09217c9cc457247d90fc70", "91a45201627caac826e8703381ea3e7fe346ee2a", "e2a0b75022930431f3ffcd8d552f9c1e13fe8b6e", "e212cba8039fefc3006d34f2980910d710a0de3d", "6dfbb5801aab21dc3c0b1825db028bb617477446", "7d94103c5e3796721388200ddaf94ed6e984ab0f"], "references": ["52eda5705d646b7b907c503992038e9ad5f4a777", "b183947ee15718b45546eda6b01e179b9a95421f", "1060ff9852dc12e05ec44bee7268efdc76f7535d", "08fe9658c086b842980e86c66bde3cef95bb6bec", "54a1b59a47f38bef6ad4cd2d56ea4553746b0b22", "6abac64862f7d207cac58c6a93f75dc80d74e575", "39149c51c5ab3442b43b8d19eca704efde450f51", "0edafa576c8c89035db8ad24a8a1af5d457b746b", "205f65b295c80131dbf8f17874dd362413e5d7fe", "00a7370518a6174e078df1c22ad366a2188313b5"]}, "processed_text": "глубокий семантический сопоставление признак"}
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{"_id": "7600ac55ddd8d955eeb96c12b226f1a2bc9e8817", "text": "На пути к персонализации обучения на основе искусственного интеллекта в MOOC", "metadata": {"authors": ["49514846", "1679209", "2360957", "49940237"], "year": 2017, "cited_by": ["4b0d5ee039640b7227f74d226d4be929f7ef6c60", "6f4e4e107a3df0d27bb6606338b2e47231e46e55"], "references": ["801f35617dc218bf493667f371dbd813f765daba", "96021cd7318cb62e2950882e73057afa03c4bfe7", "8e1ff39969b02ffd48f9bb1bc5cbc49749e6b171", "20d9174f5b24b88ae2500a221b44693b7aa02d31", "43f3e734cbdba5e7fbe0d4be7abb4e71cdb81642", "fa3fcbe54dd63e6cba976216d5360b7f88a75e4a", "a25fbcbbae1e8f79c4360d26aa11a3abf1a11972", "e004fb9d25c465f4fbe52dd798d3f27aab9fd2ed", "bbd210f3edf414dbb135959729ef74eeb0f4b802", "30deec6d82d074abddfcfe8e541b7d8ca55eab40"]}, "processed_text": "путь персонализация обучение основа искусственный интеллект mooc"}
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{"_id": "b8c7a947bda15a4f8a4b2f5e8cb8cd35a193fe4c", "text": "Игра \"Выключи свет\"", "metadata": {"authors": ["2030995", "2745001", "1689992", "39131084"], "year": 2017, "cited_by": ["0f9e4431e844cece73223f521e6d8e4a812b0ef1", "bd59b6f0d041e0fa91c9dd31e98f77deeb7123d5", "d09bec5af4eef5038e48b26b6c14098f95997114", "c6f913e4baa7f2c85363c0625c87003ad3b3a14c", "a1f002d22a7dcb45c9dbec1ef587a1f33099a097", "59094d64844ee21e32560fb08db6d53cc3af0c51", "dfa70ec9bf1c0f2cc0d3d08ac0edb403f7d78147", "7ba22bc1cc37336a2a4e769c9798c47c8cad0b11", "002050388cdb39d6413ce48230496e8ccc08df04"], "references": ["925cc228f463ef493b3ab036b659df0d292bb087", "2815181cacea9245fb2b8b10fe850e8e67b9e7b4", "9748c1768321a413876ac3276da2d3dc0b030072", "115e07fd6a7910895e7a3d81ed3121d89262b40b", "9d49388512688e55ea1a882a210552653e8afd61", "0f1b95b385e5b73f426fc8532beadb3748ce6521", "64c7ba4096caaf3c577ff438f4313f0bc32a9588", "345b4529793685f62d5261a4ba9226800e09d4ce", "a6582abc47397d96888108ea308c0168d94a230d"]}, "processed_text": "игра выключить свет"}
{"_id": "2a3b696dccb9e31f0321c83a86f26041c72b1bc9", "text": "ПРЯМАЯ ОБРАБОТКА ГЕОМЕТРИИ ДЛЯ ДИСТАНЦИОННОГО ИЗГОТОВЛЕНИЯ", "metadata": {"authors": ["49069914", "2759853", "49258467"], "year": 2012, "cited_by": ["5361c652c989574c07f056ba48c03c03f365d273", "15f634364c3ec1065a12d7b4d986b873a383e0a1", "235fdb0d242320bd338cbcd2729ff0ed272cad28", "8b653ec2254792a646686991d0e840ede9d36d4f", "0e74830e4da48e8470e9ef6eb674cb60006414db", "3671019e1d799b0efa66a1d694a57e419f7ab117", "2d3170ac2c4850e716c96c13c566887e6a605eda", "1613b204477782a8c8de7b71d01588d700949aa0", "53b6d9c301f7c7dbe709f7b9a738c0cd125a86b7"], "references": ["f4a42b86776aaa51907aa565e9184a771049cecd", "379a04b9f90d0d83e2182ea4e081838ea8257f3a", "9425c683ce13c482201ab23dab29bc34e7046229", "8cacf4e13a086aa7784594df62ad76318b59a361", "feb0c4ebe0139e98c65fc72a48ba9aa4425614c5", "3759e6811832afc8a0da05aedb30ce2d93edecac", "21573679eed7c060f9004712674c99920259c182", "6b85beb00b43e6ea6203a0afa66f15f3cefb48c6", "c3e1c3b9b4e88a565c99a16940465534355f1ac4", "ae70582ad93ba36cb14ef4a3e09ac60db94186af"]}, "processed_text": "прямой обработка геометрия дистанционный изготовление"}
{"_id": "9bdc4c5f6ba780f30ae081be7af34262af9a60a5", "text": "Train-O-Matic: Крупномасштабное контролируемое устранение неоднозначности смысла слов на нескольких языках без использования данных ручного обучения.", "metadata": {"authors": ["40438851", "1733928"], "year": 2017, "cited_by": ["89fd3882bf836d180f5a859e5844e22eeaa4b484", "cb4ad34b59aca268949ee21e84b01453f91b39b9", "7461e778b99533fe2900d688d8f851e1e31ba221", "030f8b9bf2a02db31b35315b62d8b2355adcf8b9", "35df1fc96dd74ac300c77a0bf74559e6cd2aa4eb", "8f0ddfec143228db49b84f50a07ea6f4dd237d6f", "fb166f1e77428a492ea869a8b79df275dd9669c2", "e610969fee30fcbe02bf9efb6133eb1baccaa1a5", "cae6dc34016647b64a753b3e4f87260eeabd4fd3", "04dcbb2febde3f8dc563939a153ba22be839de57"], "references": ["7f90ef42f22d4f9b86d33b0ad7f16261273c8612", "9931b8ea6594b97c7dfca93936a2d95a38167046", "fb166f1e77428a492ea869a8b79df275dd9669c2", "5913ee5c475c4365daa6466264e43d845c8013a9", "25fb5466b0b7691e2244a9ba56da24fbbe603938", "b4f943584acf7694cc369a42a75ba804f8493ed3", "adcae30993fdd78c693f95c20a122982adb3e8b8", "d52d79142ea0f0c2d99b6f22e971bb52802f582a", "b54315a22b825e9ca1b59aa1d3fac98ea4925941", "7313c308a74e68e58de9db97177eba377f6bae2a"]}, "processed_text": "train o matic крупномасштабный контролировать устранение неоднозначность смысл слово несколько язык использование данные ручной обучение"}
{"_id": "779c0713a86e27fbffe999017837a56cbcae09ed", "text": "Слабо контролируемое извлечение событий компьютерной безопасности из Twitter", "metadata": {"authors": ["1863425", "27006384", "1874838", "1779250"], "year": 2015, "cited_by": ["bb1520af0e45c4547df0a66ea3ec145d5cfb5886", "1741c93e4270019e368a3b93eee21174f6f34974", "423d56c484a3ea52c33f67b6fbaeea88093e0111", "25932f1bf57e6501195c9cdb5dc3b9556b3b6a37", "ceb6259b66a9578d924999feabdfb55e8b8282ae", "ed376859f06c5d5d8317b872f77abedd9d9c4b87", "8e13765e94bdb71980c0abd4122066aa737dd11e", "310f101d638f763ec96546b01bc84c29c169c366", "60524c14b38508d5514ca1d9695344dcd6966d6e", "9020ba2ff7bc6688982fbee56d2f1e009f8e78f7", "57fcc8abd4bfdfa1deb53142bf160c6c80c7eb29", "5e1727649415c8d196f5c7e98b3215466d596eb4", "2fb2a4ada0e4d052dd8a3d4c84dc07b50e572810", "04d358f31928ce9aae8ff5a20fa9b94c1e36df82", "ca594f4c5091cfd5ccd1931786478c42d3752afe", "9f6d5ba70de44a36b85229c5d16d0b9d081e73f8", "c536e242a8a12395b868317e7843466b334c0475", "3923faa69a01e1ce2c884d592ac1ebc9d7726492", "0ad32ced85b9636e0773f560a9feef7fbb6a6e7f", "cef99463bc9416ddcb96cb4498a559eb193c5bf5", "14fc6aa59e4184dc60ef7483c479a14274e18113", "6133001bbe73574088e57ceb3039d415162f0c77", "79dfad49dd95de8db7005cec6c0af9f63e9d5daa", "d537c63ba27682596eba8fb3711f720082a34066", "667d91cd17ba2a4a846277b77df7587f222a3b1a", "a7c2433ff5edfdf225b2fe527f7a9c3c1ca4c0bd", "24b7946a5e904fa71c32bf42781095001be7696c", "5c8266cdbad864bb71f69a194198235164776a8f", "b3d6954d36358305f2a051dd2ce7a8f052e566e1", "c1f1befd3cacadb6fe3da39ba0b6822dcb3a46db", "4b1ed7ce3c26b2b84187703af736ef2b8c832b85", "06bf8741730877009c6521795d09f61a92bb11d3", "dfb9916b53fbe88c904ac3cedeef74c291c23290", "07b2d54d77f35481a61a9c8611a0353b05be1829", "692cdef317ab23550d4e839527f9c3335a1e87ef", "4f5c61d10a6c23be0766c121bf7e483c60e60880", "0297fc4f945d71c6eff318b4e322f20e20867d0a", "36298a7c34d3f34860bae0325007dbdc3e0478b3", "5ca1c595708d22d92b3f913be391575560bdab2c", "a4fd0e0f830691b32d61c2db9e6f48770ec3af1f"], "references": ["172bba4fd058636e4bed0e023a9da3ad29cba1e1", "4995fbc1375cd608ebecf982eabe7aeb3ec913c5", "1bdea65894cd9e83d71e0f5fb30a6963ee89fc92", "8eefd28eb47e72794bb0355d8abcbebaac9d8ab1", "2e50fa3360990aad1fc65a89231d16f8d3373836", "b6d87c6fcaf01a8ad54fdb85725f02db30bde099", "87086ba81c59a04d657107b7895d8ab38e4b6464", "3d378bdbf3564e341bec66c1974899b01e82507f", "b62c81269e1d13bcae9c15db335887db990e5860", "20ad0ba7e187e6f335a08c59a4e53da4e4b027ec"]}, "processed_text": "слабо контролировать извлечение событие компьютерный безопасность twitter"}
{"_id": "663e06e02a306660ef508aaf2ffaf523c6e96088", "text": "Изучение структуры графической модели с использованием путей L1-регуляризации", "metadata": {"authors": ["31802267", "2646834", "3144892"], "year": 2007, "cited_by": ["01b829febeea412a9f1889116357c273d307985b", "6968aaa2ed3fe37f43d73379be35bd57088b3f1e", "9635b6d28970fba9692a41c0fb8d7cea433e4c26", "fb90dde7c4cff87b40b61193ae4b6d79a7339a34", "b296e02c4e4fb73726279fce1886920240a58c51", "737ab4f0eb46d19da3bb7e34a231cc4ec5cc2e7e", "78764af854075c30fcaa362c5821b8ab385af922", "1b5b0862c402c0e8a186552d1487804991b33c84", "62e07d9297ddd679ae7af5b38427514263801034", "cd7ef4b65cf4eb7494b5c826c72c1f8f2bf2d38a", "09cac93b6af8217811034b50869e625711b124be", "ab356e9560bff252904de8f6385ab0bfde8b8101", "c426dfe74de854fe789c19bb3e7fca5d67c2c627", "b17970a05a19d7a2fef979f3532e27a0c1cad026", "1c347f18b5bbbd30baf49e28d523da2d3af9b7cd", "a0875732b36cb06a1d97f4f4e26653142455519e", "604c6c36830903e28e6d53a98734ee3940dfb6df", 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{"_id": "96dd2785bc42ea77a3afa65701d55212570a76ff", "text": "Статистическая обработка сигналов на основе вейвлетов с использованием скрытых марковских моделей", "metadata": {"authors": ["2280898", "1784991", "1746260"], "year": 1998, "cited_by": ["22b6a58be17c8e30a6bbfe1c0e6e814624551645", "372189715865d824840f33b3dc0a5247a24e7f7c", "07c5b5a427c709173795837e1914f7c399c16ddf", "9c929d01519ca9b3c9123d0337f75a858d4a159e", "4e43f76fca3f9487ba4b113d84e8e9efe47b2c31", "3768192ec2883ce967b68e146ee0401e98423224", "006fc2b25e4c66df5bd54c4f7f00c733029febed", "42a136e7eda6d2c95123a193945e5e5e3b6112af", "4042bbb4e74e0934f4afbedbe92dd3e37336b2f4", "636dfb13122c04ec35bcc5f5f6d32a1806891012", "37df4d76e6a918c43801f9e3fd3216c4f5f665ab", "055ef0de296b93d2c5ccf838a06466bc47d20426", "bfbe0e147594e2eb4b6eccb808a52f909c9210c7", "19f534c03ea717dd52f668cf53aa00f95e6dfff9", "3d2c16d0f8e57fde0f8a1e6a85b8b65ba17e4afe", "306990eae07d178a5791def2103f5981c666d16a", "38467f6dce909488c0eec6b9195ed7a60f8a2922", 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{"_id": "ecb869b1f3830f7f98ee84bc415ddc97b0e0348b", "text": "Использование анализа социальных сетей в качестве стратегии для разработки рекомендаций по электронной коммерции", "metadata": {"authors": ["2885651", "41171762", "1778143", "2461176", "1760543", "2076884"], "year": 2009, "cited_by": ["fb12a83d3207f11a020f9af3a7bad92f10bdcc6b", "241b3f1d3289fb41166bfc38f9621711c4024826", "4f3a081234966c1b1755e82138d38773eea24be7", "e5249339a647a03ee4872123fcfd55fd3679ad9e", "9c9ff26b8ce8d000fc7e1e9bc9f98722566552d0", "656c0f793de8fe9e9859f0f75180b2c5797d2759", "d6bab5388f79d24dbadb920ba7e5bc5b08a0f817", "0d7f6247a195b2584496ee11bd02bf0711b29618", "cc5d8bbbce54d213a9cf191b357170f3406639e0", "3e250eef4955fd9c96371d89243c8942cf75b732", "e76cddf53f611cc4baf5466c0b7b73ffb6b00f93", "8842ea446ae0df3583948aafa481bfe1fa2cdaa4", "41bfc3c41c3f964ab6b8337bf9783fa52a2be2f6"], "references": ["31ad02e222986c09fc7b5e4b8147d25877a8a45b", "057746f45403538f9f9e7975855c6cc4e1023c06", "0ba380be62678993c010ea4d7940c9f41f130662", "5880b9bc3f75f4649b8ec819c3f983a14fca9927", "d9b3b84b415fbfcd63f2afd6fae9388a51e65e57", "6c49508db853e9b167b6d894518c034076993953", "44fbd18c1c6dadc6ac6a7757a0921bd8641293a0", "69a5f151f68f04a5c471c31f8f0209126002b479", "719542dc73ea92a52a6add63f873811b69773875", "f172b5006d4e407f3e84fcb1b8b01276b99a6887"]}, "processed_text": "использование анализ социальный сеть качество стратегия разработка рекомендация электронный коммерция"}
{"_id": "4b450424be82fccb46a97bdad24a44f547d604d9", "text": "Онлайн- и пакетное изучение псевдометрик", "metadata": {"authors": ["2554670", "1740765", "1701538"], "year": 2004, "cited_by": ["b46f6ebe65b32796f180c7c73f5ac6c967fd2381", "7692fe7f8242758622cce8f5b740e1e7e886cb64", "4ca4ab372f79e787dd6a3549b9672729e84585ac", "94fd2e5fea57dcaec151376178e18f1996d49154", "f743924f73e2b44a184156fa67cf6f33f6ee3539", "96829e6f7a0d5a3507c353266e70c7a1f2d733cb", "27187d4c36f71d08898a53dfda0e81df11b25f21", "12a073cb1dad7b55b41268be5f68b7f85092f0ca", "84631c37e99da6bad09da819dec945b22c3d9616", "af87ca7deaba04111af2af00c55a0d082e491ca6", "ac37c2a66671ab85fb918ef5527772a8dd256884", "0932d7952a1a7c07c2ffa3ad89b0b827e24d6a9e", "01ea76102abea02170108925747281b1f60308b6", "9bf2bfce6962b9d5318758b13aeddabe4829c15a", "4dddc26cf82164153a0c21b9950bc7b8a0172e1e", "2cefedcfacc03367d4d482f8d1c614cefd485719", "97ec472de0c03594f5bda9d0ff0509b7b4abd19c", "37269b0d2e621fcb997769dc518eaeea1e482c8d", 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{"_id": "1b9ce6abc0f3024b88fcd4dbd0c10cf5bcf7d38d", "text": "DeepMimic: глубокое обучение навыкам персонажа, основанным на физике, с подкреплением на примерах", "metadata": {"authors": ["32200465", "1689992", "1736651", "1745029"], "year": 2018, "cited_by": ["3e9af2f5e0891b70661461d1dcd21b7fee24a15b", "cc2bf26041ddaa18485fa143285e9ab8025cf095", "5423749e5cd6a386da9a4db329a30abe6dabc8fd", "365ee41de6d92d6557864e183ca104cb677a0122", "a6f917834ab6555a39182cdd43fc2c8ba3b4a262", "5c14c0e2ca7f538e72b53163cd8774baa11df26c", "182eaea349124c23401c98ae3df65709551be203", "9975c621076256963d8951f511a8c5a4110bcb39", "d5a14f0808d6f564b6219369986447f3a777972b", "7580212f579132bd385958b3ef30919f1cef3ab4", "0ea5d180dd9744dacdaed21c576d8a39e9fa2659", "5d4ebbaa1ef8feeac885e2869f45c0276c18834f", "f52aecfc960463e601410e3b5f9e97d518ae2e5f", "61e628555be49634dd145497cbf33c9f193d370f", "6e27f3d3f1dad46c7ebb443f761cf458fe84e7eb", "712bd8b0c6cf54c8b9496360f58170b47a5bec3d", "c9876056f14e5c7b9d65c703e42732c73d757097", "b90b462619ba03fd3de0fd01b6c293185f4ba71d", "1d1aa637eeedc98a96cf4f444c39e6c756926aab", "5386034f12d36e932a045e5333625f61845b875f", "08727488f5bc29fdddf3e3658591017b754f65ef", "cc65d1529bb1808b53641756c5833ea2cb229738", "006ff807a79db206c0d03171471044e8a6590c07", "86ef61675581d964b37bf5c8ce97602ff0545d7a", "2693054228da38cbb091e1a34e424199671cac48", "b47993f30d9a2f64ed94b27228a61c66407cbd6e", "ae088b9cc374adf296d6579b47c42271c10bc161", "6cae89312bd96820bf24d055f52cc1b0344ce634", "1894651b9ac02e5371eac6b6efe2390f7414dc0b", "9385a155c5245420a7c70c867d9fea6088a9b2d5", "9b4d48eca82e8a3907b0e941a7ebd6976c95d6ae", "776f3d2250285ac03b2019ecf18668fcdd72a9ce", "a935783886dc9039b560ef6e92a51396b896a2b9"], "references": ["2b10281297ee001a9f3f4ea1aa9bea6b638c27df", "035190ab81448f2423195f90cdf22dd921ddaab0", "9917363277c783a01bff32af1c27fc9b373ad55d", "e822b8ea156649133b0a9ae3670535f49bd53605", "6143217ceebc10506fd5a8073434cd6f83cf9a33", "0b98b95a32766534fd3cabd1609be5a1e2bbb8b4", "6079719b677d0abda12abcd5cd46582ca91585ad", "2aac52ef191f9069b9a371b95bd1cd3a3df84abf", "de9b0f81505e536446bfb6a11281d4af7aa1d904", "049dd6b603c52c3b029493a4f1fa77b2f70ad0df"]}, "processed_text": "deepmimic глубокий обучение навык персонаж основать физика подкрепление пример"}
{"_id": "bdbefe44ceb31ed05d09c5d322fbdb149abf48e0", "text": "NLANGP на семинаре-2016 Задача 5: Улучшение аспектного анализа настроений с использованием функций нейронной сети", "metadata": {"authors": ["2966574", "2369568"], "year": 2016, "cited_by": ["40c4adb245e1179e460762015198e1fec025dc47", "d59d812d8c8b348f7bed805f80519e24324401f6", "d54597d799d650da0636ac9067961a3d30f7570a", "6cedde502f728eaa6759cff29a956cc47417bc9a", "b098b4cced5d83b6e5b7cef33b3a8cf2289a38b6", "13c9b02bb0f5a0c5062b3482356eef20ffdffcc7", "73aa7aa4e981ce896d5a58c81f21d09a85620f42", "9dffc92f7fbe50a4b4667878375992f37779d792", "1e7194b95668c1ef70baae7bbd6de54d23122c4a", "f0a5356b12f9510e25d2517c4e36169cf9e8ff71", "96c6b85bb43878d80323996da15d5a8e5ea324c0", "eaa16353501a6dc579e5b193b02c3ebc5ecbebd7", "bd4f30f3d8f7d3b381f13c7cdc2b984221ed4abd", "2e0285327e4a586a39b470bb3bce178cba89b2b3", "d1979a7e6c810c33f908f8209fbc42426a23a137", "8ffc80e3a8d34a08b8fbf7955d20e76aac4d76ce", "87282cd98f07a33594155e8b00a43a45abe124e8", "eb248625481ed0491ef2b88e2a78134d520e5da8", "217483c228aaadab03b9f6c1a0c16ea54c580924", "1b76a5f03f099f5a4642fb1aed38f1f50e309056", "678c93bb35966983c1e7e75fd90156d6e55be282", "4c9b3a12d98470e569fd0ce18a978e4289c95ab4", "686de47415c1a3b72729dc6990d66a79ac8074b5"], "references": ["19d748f959a24888f0239facf194085a4bf59f20", "0825788b9b5a18e3dfea5b0af123b5e939a4f564", "0afcbfcd5f30eb680f7c6868fbddb2f034093918", "120ce727d1754bdd663199fa03b110fd6ceee4bf", "496f395d4d4038e85ba666691382f717b83c564b", "94db635f54d25bdb95edb42185aca93ba53b051b", "0826c98d1b1513aa2f45e6654bb5075a58b64649", "57d215607ae618608b4870531f23e4ad43b1878c", "820843544be57efa903ce14d6967b0eeafd6a7ed", "1a4ab333a9ba3a93166f349cf26cc97c509c8a8a"]}, "processed_text": "nlangp семинар 2016 задача 5 улучшение аспектный анализ настроение использование функция нейронный сеть"}
{"_id": "d2d001e2a45614528cd014040becb67a80a1af8d", "text": "Обнаружение и предотвращение атак с использованием SQL-инъекций", "metadata": {"authors": ["1716654", "8172306"], "year": 2007, "cited_by": ["4594dddef4184b4cfd81ed4f6979760cb71fcebd", "c4b45c3543bb1336984c2f84ee72b3c95b7ab19c", "bea048853b56056bd2fcfe1f1a9a41613e88862d", "220a31d0745ae2119b2b06a447f085669984bb93", "4bc9342598deb87674aaec722a357a19761c9216", "91fec0d2108577e592ff5a7e629bc8312ebdac33", "c32a26f8dcde5f53b3b9ca64ae453fbbf292f4bb", "9b29d4ca12d328be157730b9db92a2b04a073f5d"], "references": ["01becb94be18615d1f5412fc83d42bd978588170", "560b323e19eba9c68863303912272132613bf51f", "11474ee3846e70882a3612ca4629102620e3e459", "3f2cb8530a8e62301c18701e5fc502e631bd883d", "a90719330ac3f01b7b674af65c31840d1002a05f", "e7dcf903f239b40c4b5d63e038b6fb79e2b9114b", "07c8dc37b1061784f3b55cf3ca5d2bc735e1693c", "0d1f5807a26286f8a486d7b535d5fc16bd37d86d", "584a8df6315220445becbb84a79ff5a5e95368cd", "7ac37e82832591e77852ea3aab53bfa240399704"]}, "processed_text": "обнаружение предотвращение атака использование sql инъекция"}
{"_id": "252fb9f343399a7fae9f771f5387686708fc9610", "text": "Онлайн-обучение постредактированию нейронного машинного перевода", "metadata": {"authors": ["2853157", "29825845", "1696761"], "year": 2017, "cited_by": ["247328a082d86199ed5a98e1d726aa205c1da9df", "7a2fc025463d03b17a1d0fa4941b00db3ce71f26", "f228ca13bd694944f9a810bb93b0e96946d16da1", "e3aad607fca2bdd6a5387a3cd323d61c71852fa8", "1a9997d8421d577a728f6ac119d4b14a3f46402c", "07bc142432d1da96d8f79e5d639ceab5be938a03"], "references": ["97fb4e3d45bb098e27e0071448b6152217bd35a5", "8729441d734782c3ed532a7d2d9611b438c0a09a", "3d07b5087e53c6f7c228b3c7e769494527be228e", "05aba481e8a221df5d8775a3bb749001e7f2525e", "7cc382e31f9b263892c7f66023ec441dd1df321d", "34ddd8865569c2c32dec9bf7ffc817ff42faaa01", "a2c2999b134ba376c5ba3b610900a8d07722ccb3", "1270e783184941b12ec6c3ec6994d93bcf424b4c", "7c18e6cad2f9e23036ab28689e27d9f1176d65a3", "2ccbdf9e9546633ee58009e0c0f3eaee75e6f576"]}, "processed_text": "онлайн обучение постредактирование нейронный машинный перевод"}
{"_id": "903e066a3d1024b3355e167e1307b70ac2f034e1", "text": "Можем ли мы создать независимое от языка распознавание текста с использованием сетей LSTM?", "metadata": {"authors": ["2417642", "1733858"], "year": 2013, "cited_by": ["4e93e1d128b199fd2c6be3f4c433ba8c4297e4c2", "c34cf69c0cf358b6dbb4ef84da41dc3e47d516d8", "9a7784eea6bfa62bf2834ee0b87a3cdda46006f2", "b4f608ec910e9d8949c883257cda0ee0028b7fbb", "38ad7d4be6a81dc1f2e5668cb2a63ba742b771ff", "3d74cb27afce4c0c91f47ff66c2322ecb58454fb", "722038912b48dc7aecd060fbf6221241f2805868", "e76dcb66cdd9b59356d86bbfaf1a32f6e6b6cd9f", "2ab9c5ca94aa48082f9746910124d9b3e6ecb2db", "2f149870ba8e9356fd76450ffff0ab46c593b074", "def35d2e82cf00da6e57f1543f6c615e4ba20e79", "84cf838be40e2ab05732fbefbb93ccb2afb0cb48"], "references": ["0a482d33dc0c7ca08cc333158c5c0e82d4c04560", "0b3cfbf79d50dae4a16584533227bb728e3522aa", "5fe6098a1d4e31a93d8dc48725947858cdbdb975", "2be13dc3d2e27bea5b5008a164e8ddac5ff4dcdd", "9172a6629f3ba411e708465727df56d24d2daf15", "4eb943bf999ce49e5ebb629d7d0ffee44becff94", "4eb1a562fbb48ea1f2b53df1b60b1136c9369241", "ba18247cd3ce9f711eecc7296f1c3561dbfb6cc2", "84073be75980a6a8aabc11a00b4017f681362c08", "6496e642a65023a0eae9afd7674a181a9fb070b8"]}, "processed_text": "мочь создать независимый язык распознавание текст использование сеть lstm"}
{"_id": "4b96b327c8c128e07266f4059b76d1bc98d08a3a", "text": "Биоинспирированные вычисления - обзор алгоритмов и сфер их применения", "metadata": {"authors": ["2733956"], "year": 2016, "cited_by": ["652331aaee5215e9cca950c02d5fe841141ea801", "83270bc9b9fdd667d31c20ee0910c8e4a4d5d218", "e1a4ea76103db9def1401fa525de628f04cd35de", "eb614e96569a7561d9d8840170a4d7b0a60a3e59", "8029eae956a0b7fa49395ef09b78fd2de4934aee", "5c7a5b05c18ad226c59b0bf907942f7bcfa805b4", "8c2015e548f5412dfbc62746c7718e74c9f50ba7", "ae8440cdf5ecbb8dfd00df723f92c34d21fcabb3", "efadaee3c82f5d01936835400eecd56556e62b40", "4c092e1f0679e339c674c024d1d0877005eb758e", "386ca47093b3d1a360f982110d41c03b99abb3fc", "461899aa6792c8cdacff8eea7e1d84ff65455a42", "8a5df008eadbc90fa0d672b00d16632090de8c76", "e3fefa9b66854de658f588af8685045aa2da4881", "53341ea0a502d5abd8e0f92ebb6f45163f8afece", "5d9398f209be0e8c39d9994517dbaa174887d66e", "92efc33d8d9a4c028fb6ca4cd29a034da32e244a", "528af22c57cb1dde65f1e56c33f62731c5eb1c9a", "ea9525375a011512e358ba171aa1ee6862921623", "10a98d475391dda6a9afe936cc5dd3ed8fe88a45", "2a020f6a77f4906c6b2b9e91ae909dbdc78d18b6", "1199b6b0c14e61d31a48ee08c6f32dace81d43c9", "65baafae9d61256469e01f168178058092545398", "809a1de732c64034e7cb09690967e7999af507e7", "eae9f9f8ef7c22ba663d4a20a90edd020eb6275c", "54966abc85e36326d0ebe21cfaeb25dca8ff29c6", "e2b1d290127d9bda6504e8c3a9843d3bf8ef2e23", "eb5cca6efd84300dc5961e8bd247a9e3901570c4", "0bfcf2f235ba2ebbab5eb5c45d25c9aae05bf1d5", "f6591615649018f354cc4824968b635de3db6e34", "e668373bea17d24f7c58ab5277105d8d6fcb6d4b", "6c1ff43ef7196ca9ccf1056018b2b30fb87665f7", "71717fc1c452c278a6031c053c4cf3ca63fea9c4", "e5cd92ffccc5f00295e2d40cc7b3aa6865896522", "e5c1fdd4a64696ab08bff8d960eb30fdd9897dc3", "39d6ef9f0c3f2b0f293766b1eb7f5dd7e0a5c5a7", "5bb13b8a38e0f655c985e0bfcbbf33a904c2a725"], "references": ["745b88eb437eb59e2a58fe378d287702a6b0d985", "1c39a150561a2974aea33871b03bbde01ed42fc1", "207bcf6dbd11bd6c8ab252750244bf051efd2576", "c60c06e85ccb5d0cab81400b09ddafbc78110ec6", "5f2a65197bdfa69336f5e4fe0086d447ad9945ff", "5bba2868f2ba665a3d23a932240aa36c2a3a9c2f", "0f9c08653e801764fc431f3d5f02c1f1286cc1ab", "56ba6bfcbf0cf03f0483408dd9c4171a01a28602", "1d6251c40d6d028624792b3860036a64d7293ef5", "1cb22ac3b206d346372bd1201f4b9f586891bcc3"]}, "processed_text": "биоинспирировать вычисление обзор алгоритм сфера применение"}
{"_id": "f7b0d94fd4a32c4c9be472b4e8d6c5bc308f0dfa", "text": "Объединяйте текст и знания, изучая встраивание упоминаний о нескольких прототипах сущностей.", "metadata": {"authors": ["32668504", "34170717", "1739737", "48282714", "8549842"], "year": 2017, "cited_by": ["54db55e3d15563fcaad6b16db8e4e999ec22ef34", "51fa1b67b002369124c5934810bc67a95a42305b", "d0f1809dc696134fb8fb2a3ff5a982eeacdc7127", "d5dc71aa641a2bb50d20edae277c7fe3ce366718", "9c382850dbb51f14de47aa035d584af76a7db66c", "b734ef52d044e1fcefd9d3805e1bed1683b4dc88", "a937f17d156b5bb7c46f57e5afad4cf19a297d44", "9cd463d51053472336a7477e61d9ee19203d094c", "c34837f46c7a7c047ff8dc275d8508f4e3de0c19", "119fc506deb89bf95c8e535b1dcf7ceea7ec31e4", "bf9db8ca2dce7386cbed1ae0fd6465148cdb2b98", "cfb294f0497d148202de3f024faf3b6b0edc20a5", "e25874cdacf3c5741fd5b36fd06f9ef67bb41504", "cd30f9fbf97809261fe8d0fef0bbeb132d07087f", "3f31f998eb4e9412f653dd63b5905f245640add6", "cde417d2b9329a89e668993c2f462e7ad23feb1a", "5aadc803228b70c3cc6b31e332770d47d7fb1e6e", "465dbaf36f20061d3031d829729d4fd0238e9d92", "a356420fecd0df431e724b4640e537c2af7114be", "881c94208427254666fea715f409b67f68f16b24"], "references": ["9db3fef31d6891208cb82a214015436e1b9dac5f", "4f5cd4c2d81db5c52f952589a8d52bba16962707", "f523c55a0a8057c5b08add761353ca79946feb07", "d95806e7020cae59c69558ea502e3f6655d9aadc", "00e2a6d77a2be75a69c2ce36d5f246826f5b8a19", "23607916f4bfe2596eb27305dfd42e1770693f03", "d51d0029bbc97c3c72bf38e6b099507cca1335b6", "1c9aca60f7ac5edcceb73d612806704a7d662643", "bcae9da4151d4accf3d90ef8bab883fbec35cb85", "04b52c8230c3f9f4f4032b06458069d81c8f07b2"]}, "processed_text": "объединять текст знание изучать встраивание упоминание несколько прототип сущность"}
{"_id": "d99bc2544e4b1f33da5bb8010be8485b41a154f9", "text": "Полуавтоматизированный модульный инструмент для создания аннотаций к древним рукописям", "metadata": {"authors": ["2700495", "2489964", "2860677", "3424460", "1743758", "1680326"], "year": 2018, "cited_by": ["bbaa519841d1f440850876871c7302fd47728ca9"], "references": ["6400e3523e05db2b64d3d88e42956c92c39a693d", "e02048e87797ef194f87450ee23f13daac94370a", "bbaa519841d1f440850876871c7302fd47728ca9", "358e8ad4d8c6baab848f3b3d8bd7fc689fbf3ca5", "84073be75980a6a8aabc11a00b4017f681362c08", "feaee4dbf7ed20387cc2fc400669aff9d2f99267", "fbb29cdcbf8bbf6fd0e49c4a1612a12c1d781476", "bd61ee05c320ec40d67ed8cf857de2799dbd3174", "e0c463ca496ef913540c260ab847ad2815b6464d", "bbe1ad87b1f881336a1463764da4018c9a609eac"]}, "processed_text": "полуавтоматизированный модульный инструмент создание аннотация древний рукопись"}
{"_id": "46b5188d0f11fcb62d95516bef94cdc929f0de40", "text": "Прослеживание языковых связей между побеждающими и проигрывающими сторонами явно противоборствующих групп", "metadata": {"authors": ["39535726", "13442795", "1718511"], "year": 2017, "cited_by": [], "references": ["4740b02c00126bb4afacedc5342bf36b327fa5b4", "b3848d438ae936b4cf4b244345c2cbb7d62461e8", "2aaab4e7ae2ab187f504cba4c7c6fe3ac4c523c6", "2d35df8d7d8bf4e0abb94aee76e290a4e5803fde", "eb94be2d99a8523293cb5c8980664b39393b8120", "4daca73119403a488877bc2189315092ea1f5643", "6ab04ebf6408b92f1452484e865424450f2c1e11", "20ad0ba7e187e6f335a08c59a4e53da4e4b027ec", "e34cc39298d187363381f6d662975641899df99b", "5839f91e41d1dfd7506bf6ec904b256939a8af12"]}, "processed_text": "прослеживание языковой связь побеждать проигрывать сторона явно противоборствующий группа"}
{"_id": "7744c16f5b24d331d7c28192f4159d37939b3df9", "text": "Город, личность, сеть: транснациональные мигранты и работа с онлайн-идентификацией", "metadata": {"authors": ["2278978", "1687465", "38818867"], "year": 2014, "cited_by": ["bdbdbd76fb31be32e27fc30d6bbf280db81d995c", "247a14b584d8d83a9191149011de2908a8da605b", "41d41c18575854b17d9cf798f2c587ad0a3f36be", "89eee03b5e02dea4f8c2f0ea1542c26259c52096", "26d4f5663aab566d2c1a7acd5a66b1aa0ca80f2d", "6318b0bb0683ae55f67cbd0ba2b743c557cefe15", "097dc1d29b0d72758189978b1dc52870ebba2a85"], "references": ["d46160fde0c8732c839c2486d98f5719c2c2c547", "8392a12398718f73df004d742d8edf60477c723a", "5716ae19eea068653c314090b46ccfa8e8a61c75", "9a429e20f71341cce36205d49877b6afdbb8f51e", "0acb104acfd39ad821a67d27629d970bac3fb00d", "0ee2da37957b9d5b3fcc7827c84ee326cd8cb0c3", "216e92be827a9774130263754f2036aab0808484", "d95cb8693c8a3b5fa1bce331f176060b157b6737", "32f96626bd0aefad6417125c8d32428273756b4c", "dd6bde475a4d7bccbd60e1b1df44a83e1cb5bf3b"]}, "processed_text": "город личность сеть транснациональный мигрант работа онлайн идентификация"}
{"_id": "a91eca9d11755108c8c1a4354ed5b6c5a89ca4f8", "text": "FingerCode: Банк фильтров для представления и сопоставления отпечатков пальцев", "metadata": {"authors": ["6680444", "2187080", "37616213", "1767897"], "year": 1999, "cited_by": ["7d4e65d0282fc2effb5ae0bcbf19c020a04f8286", "7b1bf83497f944370492039b356cfc59412c6f35", "51dbcc72da0bb1d1f386d4faf99d04cd45007aa5", "00b91e8c03dfa127b7582eb411a2077df1bc44a8", "dda91f7cff2cde1c71843b95bdc5440c8102d289", "bb676edb643b585e191abd44ad23965e7f851c16", "02f0305c4a43e1ec1c702c8849fa41092af17aec", "931ba1064dd40dcdffa5f1e4c2e44ff41e4fc511", "746a5f8a913a7838d28580cef3d4e816bc2716c2", "1516fce151b9021ba65a465ed438349b7f9e245f", "91d2bf292cc5225c0acf33177d7c9d4941a254ff", "cb74845026ba9d79d624d798ea364afee1acad69", "71807df05398d340f978eb9d47e3f9b01f669014", "d212237b0e00cce6e203a92fc8527a16b2d1cbbc", "865269a16eba1ae98f1b026d59129b6335dbc001", "64781adc79ca0230eefc9448369fa96467261467", "99c17e55ae06f0fa7f189f00bdc0ef0ea929a093", "d5c0bf395484ee282e4ab9065807a2329dd31c69", "7f855b6675645d669448e2da8b30004e0d8d96eb", "28f17a7fd082ff0960e69df3b686171be8e0ffc6", "4ae953ff7810762a7c72f94ce22494e459866a11", "afebfb98d4a4372d0de791a4292e368422a1ddfc", "670ddcff2cf08fce907ab0624ff6a8ccdbe172eb", "49b6007197d11883047d5201c80ae8c331e36189", "dc7f5ac3b7e14469d8c9b9052e53fd07b0177c13", "32a4d7488690b0e08926002ea7e77ae723f32752", "61c4b7c60e14bde016d982ee1bb4f462ee062348", "976f876c95534ca636b6abd4bd2c71e74867ff06", "ff2d2a53d812f1d98b9bb51a6b1e43a104c870ec", "5514ff1ef4951d1a1c739ae4c40104e71ea5b7df", "2508ebf6f0014ed9634626e5c4005d214afe4999", "b206f2b9f4c6289b9b0b1266adbc0f1bef361b88", "c315a050478781da65556a745e01286ee4a8676e", "40d26d31cde09debeaaa1868dbbc0b9c5b3eddae", "0a91a2adfc5f39c61e19a0fa19b5b258422b9d6e", "516df2a5cbd0939f2aee1d88e03248738c01fb9b", "0cb400ac9249fc7833d6836f10564ac11f38c710", "e45ab45a85f1815a7bd0d89114cd87f4cbdd2272", "aa4b2326d3bb3524a82ef5ae7d0bcfc131adfde7", "4bbc49086ae7895330c9ea448dfce9b255f0c33a", "503eb7016b1993773e9d4c0333aafa9ca6a84145", "70ccc6dfa0b7d1b38aa73b84d7034c9771a16cae", "13a69cb51500889fa1b1c036f2cfa2d7ccbdf6ab", "46cec2446c235e40646b9be344ef83f528aed3d2", "e02da7a41d99d087c529ebd6b1239f47a29c1896", "e9577eadfa827513ef6a7754c7b0ff41d1266756", "833439501535557265654902ec65a640c90a0446", "406051b42511481493a9e51a6d4e470986e5ff18", "913f0e80c4fbed054e4c8ad5f37d196d1b5fe7fe", "3e439724a9bd8e909833df4122f1d7cdd2564999", "12685a03368ec91e425539f8a535aa03ed4e57d4", "1d410de04d2b9fc314d3483cb0d2f456914e67a3", "2f9e0f08fc3942aecb2c2aae628c7e448413919a", "7b488b3afd6544408a04b9f82e6d900e4240a0df", "a79b39a2784a40bc6ef7e33d195bfdba9311e474", "74d745ece0f5d751bc96be2e0f3fd4b22cac25ec", "c9e63d1e02722250c91eff09f57c22a497d6ca04", "c9b2f6b69eb4eb64b9d2ca721bdbbf26f9433fb2", "184dba921b932143d196c833310dee6884fa4a0a", "134b750fca8148ae0fed8036e924c4edf9bc67da", "97568c146ce7a01e7aa12e5993044eb3d8450467", "68870f4a0940ea8dbc98a7fe5daf6068dc44c92b", "82d49f2edcd97b4f258719216ffd056aacb15410", "4d838069b2c41bb9f57c0abc3049f2d4f5d090d9", "32a5ac404d0c004c1a194283c784c2c84b985cbb", "fe277dabd6a3aa500292aec1cc060f6f4e58d3f2", "5382d24d4d8967ced99c06c4d8e3bd3f5f84024c", "64d2bdeec3823bfa705e08cf2b6965363448321d", "51758086e0fa8d6f0fb102eda26226a413a0ca38", "11ec577a0d4ce0d91843ecfeb66abaff5fb0dfaf", "0ffa009ab6b689f651edfe0c66a10e66971f5af2", "8fb84fca5b5537442bd369b0fc3369ceb5c5049a", "29eaf7a5a2454728b0ca718a45226d81115d5ea0", "82833157185707e329f4004fd1982d25645edad3", "a072b65bda74f9ed1ef71572f77c417f2434b488", "66384fc76ee591e73387673c334526f67f382167", "ef659f657e498bb954e69c23718e22e337ae43af", "0094042b4b2acf3c61ac109ef62ee7849c6ddd89", "abb8582ddfa8f0ce9f3a71b757c21f80282dffae", "90a00ae25c61f038cb32876e4b43a6eb31b7909d", "35f01f98737a76ab1b2d1234572c12bb434dcfb4", "00e80bca142536b597380d95df6159c6a50a5604", "996315a4ed05b1e96ea81b8d15377a59a59b06d3", "26a8df2d8693745596ebb2a9f0a54950f9609dee", "2921ad577e88884540d1a222fb91b593280bd767", "f7a41fb4832466b2cfa41e75f08dcbf5f6aab902", "8294a4b07d1fc5f8a838e2b1e6d0f559cd9fbfa7", "c40b0ca6723c49675adeeaa326dd5b3673173711", "8fef186e599c202a687cae02775ae3436f457826", "b5b3ec012efe49df8a570ebd3eba7be06e24f743", "44f8e35cfdc1ba58aae2addedfeb30f5fd9902aa", "92873c32847eb0efaf857b00f665018eeb853cc0", "9b993d70374aac251c0b19c2ab6512eb8d00a471", "4d39ba234bab69aec61e678a889f37add5c2990f", "8814d409e4619bd08aa0eca0c4438cc6058abb13", "7fb70a0ada9a542bab95cac7c2a65de6efcf8d91", "0c225c388c48448147eaa98cb2396666bfcbb5de", "4f6417b8d9ccc0bbf101f929fa007ccdf420d4cc", "36caa368df57c72e81e5253509e332e7295f80d8", "b61042dd731d8fc15b847288498b0cc35284d093", "a5566aae7385b6796be4e27efaa71be46bec05ae", "2da67d8b47c63e1080e4edb119aaf6cd48f5702a"], "references": ["d6479507980eb4151398a6d362c9aa16cf6e79a2", "86c9a59c7c4fcf0d10dbfdb6afd20dd3c5c1426c", "8e00b15c5ae3adc5332652b4b78702616e7ad9e6"]}, "processed_text": "fingercode банк фильтр представление сопоставление отпечаток палец"}
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{"_id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "text": "Остаточный по сравнению с Зарождение против Классические сети для распознавания лиц с низким разрешением", "metadata": {"authors": ["37646107", "1783486", "9374377"], "year": 2017, "cited_by": [], "references": ["14ce7635ff18318e7094417d0f92acbec6669f1c", "722fcc35def20cfcca3ada76c8dd7a585d6de386", "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "162ea969d1929ed180cc6de9f0bf116993ff6e06", "1f76b7b071f3e65c97d09720f88d6b0ad9f07e8f", "60fb007eef153fdf9c3d6620c419bef1c657c555", "853bd61bc48a431b9b1c7cab10c603830c488e39", "8ab183883acba0501c3315a914aee755b5e517d8", "64e216c128164f56bc91a33c18ab461647384869", "3607afdb204de9a5a9300ae98aa4635d9effcda2"]}, "processed_text": "остаточный сравнение зарождение против классический сеть распознавание лицо низкий разрешение"}
{"_id": "2ad9703a6e039258bc306e46c7eed1208a61f4aa", "text": "Изучение популярности заведения в foursquare", "metadata": {"authors": ["31527578", "40042941", "33345248", "1708494", "48749012"], "year": 2013, "cited_by": [], "references": ["1fad4b4a15da421b18059ed54e0b6e869d8ed859", "19b8253d40097409e2c36a56ff581350f76c0662", "2d941444a69375bd66a82f416c5092a809b0621f", "b10e50ca4ceb937ab224de7c4f9c3c77cdc5b335", "0ae0e218d634ccd5d49c462603361957f2ea117c", "6ab4d85eb26784826c118e42202f67d67228a35e", "5a7d531cfe4803bb5ecf766f95229566f28e84e6", "4814852815557deda9e56c9e05c233545a20d62d", "35484170c778b164af45b756189248fc3d788f4d", "2f9f77ee4fa453cd114665f8b487570c0affe235"]}, "processed_text": "изучение популярность заведение foursquare"}
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{"_id": "822535c409890de3aae74b49b2bd8d4a59832fba", "text": "Исследование моделей интеллектуального анализа данных для Интернета вещей", "metadata": {"authors": ["3329088", "46762662", "48580733"], "year": 2010, "cited_by": ["029a876560ae87befb5351b5c9477e98d570b57b", "2d8e1f241d982a9b16a6a2cba810fc1cbcf3d34d", "c541b8f742d2241b5478a3eb1ec557703343e98c", "45a6993b574f3b800911917be7f3a0985b380fc2", "a17b81eee339713d21a3425c19010c4ad0008456", "f118447e4c4a5283833243dca78a1e9075b8ddde", "06f3dace8a1da1ce203953c55da5bf71e1e20c4a", "f5dba4d02ffbf84b35840bd4cf8916bc6b10458c", "90bc0c36ca80bcac8c40b45fe22ca8052e61feb2", "884e861613b9dc82bff98bc47f6a9e64c95b872e", "2f970f8558ceb7152bd1501dd0a898482506853c", "2141d41e372c5f24765e48e01e9a5d21dcbfc3e0", "68eb077680f1467eccff23a7369a03affa3fe1a7", "9984a5d3269301b152152cf31a517bd1135f3155", "bd2d3e66d7c5fbd980ed57f773e05c2d8ae2acb0", "1203b7bdb35116acf9222508db4d423905f9a762", "a6281cdad6be3383a357bd5668e0d1d78d6ae96e", "36a7d7da2b548aee95490778c2640303f558cff7", "149164a2d9b5b8dc0ecc711344002d452793595a", "e5a60369e34926530f73239b2b9197f831b5a1e6", "25a6576a7fa31c4231ba68088053632cff67b9e3", "8784396fb7afb19218c4c173f98b47baef050949", "cd7b1b4b0dc51857f9bde01317da89684fefe9f7", "8f5c87eafb6cc948e125c75f3e0c6f2748d47d54", "93d1f1cdfe63eb270ab75521323805a3df368b47", "c7ce37d51ba01e17c9291f1dbf2ca8223b948b7f", "3e3c5171dbf1d19efd42a3f1c204d0818f218578", "71271e751e94ede85484250d0d8f7fc444423533", "35cae78969d7961652468c6d26e857625baf1bf4", "838b59b017c6d3c0e09b1edb0fa3bf6648524b04", "ebee45fb6edc360ec3434533e4cb024f3e041cb2", "d27deb7dd5d0505c6a0530c87380c2a92236eb0c", "7b76bc732b5c7886344ff4cf127af78149e28433", "6b60eada1fe4495734adf9927beb72e3170ada5e", "5e671ff1d980aca18cb4859f7bbe38924eb6dd86", "3f51289c8d4246525bc27be17c4e69b924e8ad1c", "1cb251c5f019e8e387757cb82e5a82c29e22591d", "e935a33fc6c33a43016164847bcb7804ebd17893", "10af9b46ea73b4436ec398073b996abee225f3c2", "3021c7d7702d43080dd3ecb529dece1f8021583b", "7a0ed141c24da1c715cd4db6c894d49b59cc43d3", "0c9c3f948eda8fb339e76c6612ca4bd36244efd7", "116cfd4c688a84311025927b60749283045cb76d", "b781a8a138b60116f81f3188fd750475979fb6a5", "9f61becbc03d33c1f427ccb3f0f5d38518923ca2", "1aeb0b63110942f8dbd174b46f92229c1e2c1965", "92bba0b14ed60528c80f266252eb6b982ed22918", "3b846fb7da180367d7a5af1e431aced27aa8f309", "b3ceae83a098807d543ae1b4f95cd0f9d1749d9c", "f348769f2fcbc0484b0ebd2bed62f5d6a2b2b141", "e1d31849af518ff24808ff951de47fdbe27a4590", "d7a89212d3fa225a0abce442810a5d3c5b01694d", "9a5ba945b062b2fa08c918ac4b80cdde2e6c2f3a", "f3863adb1361dcd10d177c2549914b4a7397173e", "a8f09baf76f5b509c0d8786b1eda47914b5018fd", "8eaa237c4e3dcdda6805b6ffe7cec176c6b03248", "cd426e8e7c356d5c31ac786749ac474d8e583937", "3c2665dc100a4b3d82414aa57a3f743ea39ac5e3"], "references": ["1c49c74521b4c9eae7a352a3b223b4213294c681", "cb30fafe10c07ce0b5b680fe1d3f483e6ad1197a", "0883bbbaf8f7f031ddb6366bdac898f9147ab9f2", "66827d727c869ce1be766dd14885f5a6870d2c6b", "08a0a828c4875c847763585d9234e91f254552d1", "6c0b6b711f477292ec4ec141b9019f99063244a9", "541be7c6ec4bb023dae2c1ddd5163b8836e5036f", "f7f7082c0652ffd51e4eb362f3f6825a38c54d69", "110526163ee2b77f69beba51516623c13ee51b5b", "82d04ee73fd1654ab5a3c492dae9e98226bd1559"]}, "processed_text": "исследование модель интеллектуальный анализ данные интернет вещь"}
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{"_id": "5f98a36570d428d510e9de699b97f4e2c63d7980", "text": "Полностью интегрированный LC VCO с частотой 5 ГГц и низким уровнем фазового шума", "metadata": {"authors": ["9310306", "50216151", "30838868", "2609894"], "year": 2004, "cited_by": ["45ddf9cada1a87f44a1ba524e81fdc974d816248", "b2d5e110394b21ee6140c22b89af736790935bd6", "480cbb6f7a92a991e73a8a0db2f10ca40aeb01f7", "a81c4452fa1b2637087c1c2f53858f77236d04e6", "91f158ddcfdf971f6d5ac55d50b6d8d18b666757", "b8e52cc2f817745e113456aeb3408c8c142a43da", "96d38cae5af11a3a04824484a37d8548feb0e852", "6a2218f612cc482b74850571692fcaa775239f72", "8b25581a89d8c024dcce4b1a3afd0c0d95d434ec", "e8c8549672ca30a60cc0ee02b10c44baac60672b", "85ce4b8259ec1b89653dfcd602154dc91b0b4fc0", "800fe2ac670ec1186cb283d2d13bad85aba772af", "fe7224a75fec23ca040f2137450342010ea164f5", "af86308aba1df0d04829c565986f70b581d6fc02", "70ff7d5cfa6033d12f9fc4ee4a7fe313dd0131e0", "d65796eedb8943cc03faa38645f347f08f889a64", "fff86944f3cdc9be2f60f3fba58d3c0db94d92c0", "e318afb3571851b9d4728e6d335f6d1f92a8ca0d", "ef465ec1200df2f2a7c430dbc9670524f9c10be7", "58c4037d110c3f2f8f49df43049550fdd8733b19", "7ea24e5d0edc803800f8ceb734be17c5c1fbbbc5", "b6f90e78b5cc7bcac5a9e98e77748621cb0e49f7", "3cf71f1b4f632248023de779fd79d029190e75b1", "c84a535ef922492cdc40dfe0f9d0b763c55eff91", "257e31e52cbad51ab51070c0ab5199ae51bf77b8", "e16067d7f6bd5f78d7fd08cefab95d78654b48b5", "b87c9fc12bdd7412ea1ade8fe17b622685b3a4db", "3c36289a5d4506ade05b6035b3dfb9ae0ba2a49e", "7cbad678c9eee0770b4a51e9d547ad40c2c2bc3d", "cc4fce6684281c2b46ddb60d4a909750132d09da", "d693a1153a87f2deddf22c18a4e2274778f3b331", "c6564f79edbe903551ead8c53ba00720202f2690", "b448dd3265e85210a3edd9099bad5ed140d31b78", "5bddd3ba9ea3ed2fe9bf5cdc4e0d5212cff77257", "f6a5ff066803cba48a65e4a2f9d8dd3ca4f8e0d8", "f752012adff9a547ec6088bd2043c03f6ffc0ada", "1069bb0089a2b38b900656f6d32d1dc0b47f11f1", "c46d1bdfde425e46092c833a02b40a0a89acd34d", "21136d3322603e0d6f7937e84a7ae4271ddb4f6d", "4155ac7842641356f71dad742e3104d088f7c525", "c501ea9bed3bb1ab6d10d1df7d9ff4f8fb664b1a", "4de9f1c9f626f7c5fc02a980832e8610c03b5446"], "references": ["37300dd4c73fc7e6affc357dbc266b2b4e5c7bea", "4d0f847b37a911255b135c033b6cc3a074c8f297", "86d37dcb04055739969c297b45b9e28e4db01b86", "be739b68dafbce1357635727999c0dafee279e64", "fa8ed945a58913650e43594b662d49780f463f0e", "9a37e88b5e6a320342ad5ef3cd162cf579533ca9", "7617c27d5132f785826765479a782747f78de89a", "f2842d5350b5f0e621fd4cfa176f01da986c962c", "b29a831996fd315acb49401f8530c3d036b545c7", "fe2b29cb9275e254f3bc3a0aafec659470770bbe"]}, "processed_text": "полностью интегрировать lc vco частота 5 ггц низкий уровень фазовый шум"}
{"_id": "dd2393f444aa875a341ddf32249381f6d1cd36b8", "text": "Моделирование процесса развития вычислительного мышления учащихся начальных классов", "metadata": {"authors": ["3033976", "2165609"], "year": 2013, "cited_by": ["030ca7c962e6314b4b8bccddf28e483f6a6775ec", "49bb3fcd1c075aab92ff87a44bb882256ce4e239", "304d05be81a4841e96a7a50dbf65a28f1d4835b2", "83a0258abe3f233b2e7b63069b22e18c0b0fc7b8", "73d2d6c7205f056c17e8e6c053d6737aec4fc401", "b048ba3d9737ed2c8e1e888e8eb0ab375d6998ed", "f2f3a2355ca74c7c6b5602d42370d09d21272870", "2bcc99a0f1404268eda0321f73010b1872750fb2", "77e7a1d8434a3d2037feee0274bd0579ba152d46", "bef39a7290fe86e595637817141bcb80d5501b5b", "a82ff705b155b3e7fecd31e704e96d4108988ad9", "0eeb914ef3ebe3cfaf9dd853c605dab9c441f531", "be8cd342c7ab15dfb4b91ea8ed9af8521ea0d2c0", "2cb68d7a811bcdcc52fc9c7005899bcf1cf6f71a", "0c37c7e55c82a0821f83aff3540b4040c0bf4509", "7633d3ace7600bf85436d61ee641e357c421b165", "8f4ee1e186cd08d92205540767681996019ba835", "1e55ad27df154ee546a2cabf47cfd09f1f12e214", "c1e2c1dcf9fdf78e5f28f1318c0280e588664138", "4e65d89da4995c8960598e4d4b29a3f927b6bfb7", "9d45c55bd0a3be33c777693bde31721417aaa003", "3d4fa05f3c05b3d727b41ad8c51e5b60b9906c0b", "35de57b3e3ae9f1fd7a714e61272b0d4c3edc594", "4a01733bc83b7dfc9e529e79b9204841351c97dd", "069ce531e44771fb090deebe2e87702a846bb5f9", "7cafa27d9342388bcb4e3ca8d4c6c8792efb7937", "e4982bb9cf522a4ee3a47d6a5843ecb3a08c0d0f", "20b0904c8c82c8f34266ff629c5ed3679c82ac2f", "9cd30eca05309720a62dcfb05e970163f43419b9", "fec8b2b18097add64530e66ee37d376de290aa9b", "ceb579918b4f77cf707d433bf002b6de08c3a1e2", "de2de9e96a64da46fb4ce612830c7c03feb26c74", "ee36cdb727744c8a4e5f6585d77c55660cba7e07", "ec9f34bd6af3917e565b5d2066537db93d2b7d7e", "6eb883747b417a77c7900b460fb4e4ca336b7fbb", "ce5ad8796823a38c95e74da369c5231ae10eda4b", "5ccf2fe53a61e03d161c7f18b9dfbd24dd315b06", "8ebab190d08734cebd5b4cdf726aa06b7849bdef", "2bbd9c0192040fda1714789339fb1858e2f9215f", "29dac5c1f80e3d5b584c01dcc17d7e8be782460f", "ba31f898776c931e31b6db519a730bf719c97e9b"], "references": ["8fffddb7e900e9a6873903d306c264e8759fec7d", "4d61cf4ffa9d15963e6f61d3d22b17274c6c4800", "436c852c4094a58ff9e629ace758612f58459342", "949c07569dfd130f5e835f310d04abe80d6045ac", "b246bf0671f9e41396760d223555f88f9fec54d7", "77e810f9d9194ce4b04dd96953b17caab298802f", "2717def05f735902162808f1997048ce31cb6950", "4edaded63d9d7ea27f5c4819f35d7168e1ae7974", "a4b4128678410d84bb858b20bb1ba4b916d1a09a", "fb80d858f0b3832d67c6aafaf5426c787198e492"]}, "processed_text": "моделирование процесс развитие вычислительный мышление учиться начальный класс"}
{"_id": "929a82670f8bb4e9d38992e2b909e3ba80f67698", "text": "Приподнятые проксимальные операторские машины", "metadata": {"authors": ["49299163", "49479164", "46268448"], "year": 2018, "cited_by": [], "references": ["1497565a7939b78a65e152191e06565dae83a11c", "2088c55ec3e52a8be99cd933907020c70b281383", "906733060dcbf7f6796de138722ebb0964beb2e3", "052b1d8ce63b07fec3de9dbb583772d860b7c769", "02227c94dd41fe0b439e050d377b0beb5d427cda", "008f079ac65abff6624b03ee93132ae5af2be219", "722fcc35def20cfcca3ada76c8dd7a585d6de386", "8ecc044d920df247fbd455b752fd7cc0f7363ad7", "a1f73cb75a9cc32e3da6eb5e221632fd23efae80", "2538e3eb24d26f31482c479d95d2e26c0e79b990"]}, "processed_text": "приподнять проксимальный операторский машина"}
{"_id": "8a1ac7280e697e87aa9bfe6010a63d023944c792", "text": "Исследование векторных пространств для определения семантических отношений", "metadata": {"authors": ["49365084", "1714589", "1740298", "1721059", "1983431"], "year": 2017, "cited_by": ["05190fb31d80161d5228144220b9ec2977ea5758", "14cb42cc713d3c09aaf124733cd5ecdc93ea9ba3", "47a266e3c88cbc78071544dfd4a8773486d88137"], "references": ["4e3571c4d195381518dfced7c36a78b581041737", "daa9afe2865446b553c95c14ebc241288e7a87cb", "15d70c9223a476d5e2e1ae87a0c143be0027c162", "9e2d95878ca6b72d38b08b3616c9520bd63614f2", "68cd1c7c0651b116a83abab8a7a46a29975d3b5f", "68bce4eecf0a71f74216fb864d6859e4be87e036", "51c49cc4654dbce3c3de2919800da1e7477d88b3", "7142b192e0e02151f192e9d930b3d337ef925d99", "3cfbb77e5a0e24772cfdb2eb3d4f35dead54b118", "3b9ba3d40d8f1b4efd53dd81439d3a5dd4ee0629"]}, "processed_text": "исследование векторный пространство определение семантический отношение"}
{"_id": "6cdbbced12bff53bcbdde3cdb6d20b4bd02a9d6c", "text": "Атаки на современные технологии распознавания лиц с использованием сети генерации атак с привлечением внимания противника", "metadata": {"authors": ["34223028", "47096422", "48064335"], "year": 2018, "cited_by": [], "references": ["7f57e9939560562727344c1c987416285ef76cda", "28550d85622f3f93134a54b203a37213a29f5e54", "47eb8d7ea4f7c209040ddd82e264edf3945df6cb", "2f16baddac6af536451b3216b02d3480fc361ef4", "2c424f21607ff6c92e640bfe3da9ff105c08fac4", "d87422549a4e7596c6b6b59458d1a52f69d9fa33", "8e4808e71c9b9f852dc9558d7ef41566639137f3", "072fd0b8d471f183da0ca9880379b3bb29031b6a", "3a54b23cdbd159bb32c39c3adcba8229e3237e56", "41951953579a0e3620f0235e5fcb80b930e6eee3"]}, "processed_text": "атака современный технология распознавание лицо использование сеть генерация атака привлечение внимание противник"}
{"_id": "012e396b02aa584cb74a65ae14af355e7c897858", "text": "Эффективное и безопасное хранение данных для мобильных облачных вычислений", "metadata": {"authors": ["34868464", "34577327"], "year": 2011, "cited_by": ["7a364ab0e185a17462fd96c40321b6ec69cbc926", "0d16cf3406b70693e05cf165ae536e39d37f3ea2", "f9e85098f6859d255fa59788c785cc9975748bb1", "33f97956275a78b18059453b7e9f102b1d9dc1a5", "aa87620d127e1b44c08384ea641a2df9aec33152", "49ab22dec1dba7a8126c0c7d72c7392f1b54a8da", "5bdcb79338263fdb9bceba34b3179b18cfa51750", "48d98b26285b0aa39331ffb93b137f6b39c600bd", "af785cf3f264d4cf082b2ff67289473ae4d3d83e", "ec45c567c203dad21534b52c618d52e69d548bd8", "5eb1eaa9f4851d9bc1359d1b226d66f0f1267e8c", "a84b965bcca36fc0801562a12e9f9bff297b1552", "2532deb05cc053aa3a6ee3b2c0c2cf518bd3ed72", "18ef603ac112523295cb21b783d999a91b64059f", "147af2ddc2ef5745893026a542e062222b7bcb39", "a42a534de2b8aa77158a5cf8777373f3f14e39ed", "85acdcaf574d99b433dfcf4692b1bdaa0c9a7aa3", 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{"_id": "51236676c3bba877d82c31b393db1af4846527ac", "text": "Улучшение выборки из генеративных автоэнкодеров с помощью цепей Маркова", "metadata": {"authors": ["3393670", "3433026", "2815535"], "year": 2016, "cited_by": ["9372d249731e8e312e9017a70f980e169192e165", "1b40fe1a9d25d5694c7ea40a57d0aaa2e2cd5dd1", "d1f6e1a666d3d87171f9f1fdc453339e6520f40c", "61a4e1280dd9cd1b1ada2eacbc34c8659d7b9028"], "references": ["02227c94dd41fe0b439e050d377b0beb5d427cda", "4e97b53926d997f451139f74ec1601bbef125599", "245414e768c3b8c8288ac0651604a36b1a44a446", "6074c1108997e0c1f97dc3c199323a162ffe978d", "52c879bacf63acce5d93df8fc94f0557aec49619", "3b2bf65ebee91249d1045709200a51d157b0176e", "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "3b4d901574162750af343c3d564ed4f514273c67", "37bd01a032fa101e9ae38dc4379742f66883a7d7", "373cf414cc038516a2cff11d7caafa3ff1031c6d"]}, "processed_text": "улучшение выборка генеративный автоэнкодер помощь цепь марков"}
{"_id": "471f97da7975bad68f142980e0dd7dc753388f2c", "text": "VabCut: видео-расширение GrabCut для неконтролируемой сегментации объектов переднего плана на видео", "metadata": {"authors": ["1717122", "1700567"], "year": 2014, "cited_by": ["12da8c61151daefbcac2afcdaf73fe433e5da2d8", "07a6bc2687d10f7dca7c4822b56a9dc7ae10beb6", "30a088d311987f43a08f95e8def1e9d2d7f3c46e", "232a965081f4a4b1f82a11dfcb4a6b08c0d41901", "9920f9e909adf8d8efbc87b6512560fd6af249db", "268e87b73009a535f3be8553518abc618eb54156", "51c8fdc632f795f41dc109c0aa0ad4c5e6e97497", "fcf0963095ff472132fe46d0cc543aff2735a0bb"], "references": ["44cf812b2959a22f5efbaf9d9a4e9074b0573c23", "1fc31ea4bd97992587bc74af5c9d8e4c6ad70070", "46ce0f9ab6f485434a9408a33352c07e2c12b504", "71b45919a82cf163d2563b7934245c115c33c4e8", "44bd549524fb17e3e806723fef2a18ffe9cfba87", "43dffb807b2c92a9f2d0785147dd790524214940", "7a953aaf29ef67ee094943d4be50d753b3744573", "471d21e3e385ae1b4a201e7836401d2d909c51be", "55df55ad9f7df2207a89a09e9a9b7a2b2c449f0a", "1a998506899da3bc703455bde45114bd4c228947"]}, "processed_text": "vabcut видео расширение grabcut неконтролируемый сегментация объект передний план видео"}
{"_id": "81da438cb67600f6cb2920021e2327bb4c1d482d", "text": "Проектирование и моделирование четырехплечой полусферической спиральной антенны, реализованной с помощью многослойной структуры печатной платы", "metadata": {"authors": ["15909764", "1979327"], "year": 2016, "cited_by": ["00e91630b0ac55a83ff8b8136efa939c26f701da"], "references": ["aa61a384f65264df1057e9e512cfc630a65f4364", "da2e3f3e5b763ae7445b5a9c3d2a1c8de38f1259", "6a9856dba1024e5200f1116aeabbb6d619f62478", "0f9944e83d221629f9ec0f1ef817b9a66cfeacae", "e91ebed804d79f2028b4e233f42d676cc7a4c39e", "d8ef37acfffe5020b2950020090c0a3b69983d19", "80b1633b5ed0602b84bde20e87dd860bbc87de33", "ba2ceb8f6c9bf49da1b366e4757d202724c3bff4", "cfd913e1edd1a15b7456ef6d222c1319e056eddc", "24171780855cb31e5f7ea74908485e2a0142b620"]}, "processed_text": "проектирование моделирование четырехплеча полусферический спиральный антенна реализовать помощь многослойный структура печатный плата"}
{"_id": "de6411cb46cf889ba279ffc1a704168d75aae0b1", "text": "Практичная примерка 3D-очков", "metadata": {"authors": ["2125091", "2938279", "2244922", "1749180", "39987643"], "year": 2014, "cited_by": ["74c577437044fb64c1d755f670b91084a0ca7f8a", "409d2ecfe6a6e5e42c0bd2441e81796462f3cb9a", "aaeeb087dc94332f5afc2e5222dcfada510bc21b", "da355cb7b4acb45c0ba2a11a768be5c8872e7ee5"], "references": ["0049aa0c567dbcab71eae2fdb9a62eac95d92e0a", "60b34043d60700dcb607828bcd3206ad7aa595f0", "2ff3cb029799288bdef0b895d7282f4d979f4600", "0cb48f543c4bf329a16c0408c4d2c198679a6057", "ab7f98f768b00db3eda7c2403c4e4eef19f00b06", "726936898b8a1b733c81983c71cedda1cc94c28f", "56a5a33fe1a6f76447792f25fcef4df0ee59053a", "4a0ee613076c845976c69cedd2260d80ed2e4723", "33d631ee947ef0cb184ab6b172213abea9f540db", "42c3adafbf8fce4b9d0986be184f2b1955958162"]}, "processed_text": "практичный примерка 3d очко"}
{"_id": "4fb07b6ff97ebfb80a7c18b0c55ebd32db84cd54", "text": "Глубокий анализ спама на основе вводящих в заблуждение мнений на основе семантических фреймов", "metadata": {"authors": ["2741074", "2111470", "1922325", "26438339", "1751316"], "year": 2015, "cited_by": ["44bc75d7bb248e5cbe9fae4ef34a22e251af9e7a", "8bbf8e71d9b1d8e2513e260b4478e5e7e3a45d3f", "833c732b98c2adc49b3247140453caf9628f3354", "ecaf6cdd879a0dc688a65b414f423147a44e4d28", "5efe5e5b1f7cacb7fe92c1bbfd07f4fb8a3a5e5b", "9abc08a7335700f803ec0ed0fe4f7c754a3b344d", "3c527cd9e2c9602de5276c5890326bdeadb34890", "cdf2e209a9e170fb4d09caaa50de6ea57a57d2b1", "de0082c0f6dc8aba6feaace7d2977b39a7bbf854", "9b0294eefaba2da2dcecb83d0c3253c8c6cc091d", "ff691505f35638765860f7e50b6a818fed1414b1"], "references": ["07e7883d9d4c98917f7fdf8eb322617c752082a5", "05a4c4a36fd24cf0be9d34e025985769e8efc683", "0bee052af002eb197277cd222d62154c7de4ac8a", "30e81d8675be66271e362e5276395397631336ee", "9a331d68b3c559f1831be3fce5c35623616e04e6", "2b3e4df9463e721577f7058d39949b0d74fd58a9", "94053eedea54d3f0c165bea22641e91e4e433b72", "7ca32395ad3c61bfc0295c9b3714d22bd693b7d3", "77e4e579a7a4fe367475994d43d08bd87fa15f4a", "426ccb6a700ac1dbe21484735fc182127783670b"]}, "processed_text": "глубокий анализ спам основа вводить заблуждение мнение основа семантический фрейм"}
{"_id": "304899db87ea51fa65eb562ecc918cb2ebeb41ee", "text": "Приемопередатчик с фазированной антенной решеткой на 64 элемента частотой 28 ГГц, EIRP 52 дБм и 5G-связью со скоростью 8-12 Гбит/с на расстоянии 300 метров без какой-либо Калибровки", "metadata": {"authors": ["9295769", "3351047", "13483346", "30798892"], "year": 2018, "cited_by": [], "references": ["d6eb8da238bebabc227dc06028e3dbd8a68ab17b", "03d54f94f1a2260bcf4466acb1be59cbf02b0d87", "32c3bc0dc534a2d37793afbd34e8cd8d1368cafc", "2fb03a66f250a2c51eb2eb30344a13a5e4d8a265", "d76e5cd8e43441df5b0e1b0aa98a4fb6562e7e4c", "a1b40af260487c00a2031df1ffb850d3bc368cee", "1ff3ebd402e29c3af7226ece7f1d716daf1eb4a9", "3d23316921b90d98c059b5ca96e9c7bdaa8384bb", "663ebe895ca7ecd21f84960146cae0b9f41c1d66", "5ec3ee90bbc5b23e748d82cb1914d1c45d85bdd9"]}, "processed_text": "приёмопередатчик фазировать антенна решётка 64 элемент частота 28 ггц eirp 52 дбм 5g связь скорость 8 12 гбитый расстояние 300 метр либо калибровка"}
{"_id": "a65e6a974212ed28133c2fe1e3b97a18dbc40cb6", "text": "Многофункциональное распознавание именованных объектов на болгарском языке с использованием условных случайных полей", "metadata": {"authors": ["4806055", "1683562", "1683901", "1710801", "1680977"], "year": 2009, "cited_by": ["09861eaf41a3a7b945744c5fadf79eaa1dafacdd", "3cd8340658785db86a4a2957a82bec4b919c93db", "34b466278b9e1e55aef926a0e8adc7267b898520", "8bad09756286ea676cd6eecff5854d2aa1ba0117", "37c337051bace9f7aa5dc5c4a926bf005559b912", "dfb479d4421930ee24bffe2f048ddcd2d46c14a5", "4ac2e6a689896b0dd1c68bb988799220a59218c1", "46fa447b86939c7d94817246d7593121a5216c8a", "5f324163ae0d7ac38768434a871b3dba4c31f36e", "5923f6241acad641d21255c7ad8ae7a1594864e9", "b2d3b83619c5fe202dc96de6403ec8d6391016be", "3623cf7267263cef2a0bfbf9b04b10fee7851ade", "9d586839048ed826cda3242a9fb457332e86982e", "50d8c6ec565cc98b378fe6f25ed02a48d9841b86", "01926361e4a7c7bfad19e9cb13e0b29f519efa08"], "references": ["05acf28b5c99b585bbeb1ea1013a3c8458968849", "967972821567b8a34dc058c9fbf60c4054dc3b69", "1a0a415178d20754418987e312681f3fb0b40257", "1b1eed518d7f0c67874a5e6e018486feb3923732", "135ace829b6ad2ec9db040d8e5fd137034e83665", "de2e7c63f912685496fa72730ee2ab7c7229f5d9", "245e623c4cc75f62df4e2098a8e5ec4b624bdc3e", "0556974a512dca16b5b936543cdea703278c29a2", "1c2381e357c6829c551baee403650e6022ae6c40", "c699b649bdd4387a427774b2ed81041261ea1e56"]}, "processed_text": "многофункциональный распознавание именовать объект болгарский язык использование условный случайный поле"}
{"_id": "124c0c016c8b938139afeb40d011070e3604268e", "text": "Евклидово встраивание и встраивание Хэмминга для описания исправлений изображений с помощью сверточных сетей", "metadata": {"authors": ["2904921", "46947022", "2938279", "1724542"], "year": 2016, "cited_by": ["3f773b350a7e06aafc555b9e543758efab80eeab", "44d816e0154d048a96725eef17b6b64da270348a", "587da264b374c30204467a3ef1bef7e992f9031c", "a9aa5d23b07edfbced00affbad952acf38c95f20", "234082729adfd043712dab007a05f01a170187d2", "81e82d0373e95274ed39dd4b6717609bf1d10a49"], "references": ["80bcdd5d82f03e4d2bca28cbc1399424dac138f9", "97c23f4d2644643381aa272a3c16023a3bf748e5", "193edf97e6f721cb3d987db8a9dcf940e95f41f8", "4e3a22ed94c260b9143eee9fdf6d5d6e892ecd8f", "885d5fb1b81a12d8d0e0975edac865521dd658b8", "8c557561cad4ef357bed3a96d83e15d01c322d1a", "aa20bb6f0ff96b4d4d685df23924ea8e7afecce0", "20e9e36329ddabc30261ef5bee487f491d27f835", "de7cb0306d9a790f470738db0fa61bf548fc3bd6", "02c39e76d12154df1ab6372687814fb7e20d3601"]}, "processed_text": "евклидов встраивание встраивание хэмминг описание исправление изображение помощь сверточный сеть"}
{"_id": "804840bb733a459d01db7c4e72aeb5373b48da99", "text": "Развитие и перспективы использования технологий беспилотных летательных аппаратов для управления сельскохозяйственным производством", "metadata": {"authors": ["1793884", "35130222", "39125169", "27388096", "3469830"], "year": 2013, "cited_by": ["fd98112cda63839de8ee85d79abeed7b76e6f226", "f3195f24b009ce8afad531e9920200cc93a5fd17", "f782baf37f93e0b2decd98776b13b35cdb175b84", "7124c61376fb481d02d85bd93894a9fab86761c6", "76f109fccce21fa5958f285e3c3c58796b5d79e1", "d8ed0250d9278dab6c7086b02733285ec9c06272", "410afaab1e8e0b650584de0543e930cd8e74ebfd", "1c88974e60c37174b64e9e7e76ff3836bdb35574", "ed7d150719252b8ea41ea781737d0a031f4ecaca", "cbd64ecfebc339e0d7b9b86fc524edc879185a0a", "22b529df7cf65ca185ab40910bf13ad7141c3c03", "aa92f91676d3a1da70a00a79ae1d4fb8ac8a0b48", "aa14d12941b859b8716b030c3ba411d8b26cabbd", "9e5bd8c45e828cc083a98a6feec87e35c3ba73a2", "970eb285babfb8df3f3cee921c495e6cc01280e5", "d211be191d52602a2f28f782981fc246ca27fc3c", "14c04cb70a49e9e9efcf95330f16e5a83073a31f", "288cc53eca2177f136b3ca190b8b8745925ab216", "c19b87c958568d6206006602983075f83678427b", "0d2d13453a10427b276741b5aaf1fe3aedd6e942", "d25b62c15acecb551fbcfb0b513e8a48cce2ff5e", "120383bf9ffcacdaa8bee17101b042b71bfe30f2", "bbece1b2dc9436c176a9b63a4cf670f8681b7a85", "2021258179607be40353ab89c920070369a0fe2f", "557e1303cda0d3a89322eead77ea2d95b557c571", "eb017afaf235d46ec22e2cf0840547c6e53d7091", "0e98bd4ca89c48eea936edef7aeb7dee69c2c48f", "f4832b5f0de3aca25ee37345212122c8a12518c7", "0edb4aae26d4fd7ff399587561294293d135941d", "f1f90e80b542821971e2f68ca59b56e804ac1a3b", "7044d2087b88eaab8acd9aa9c6b38be725ccfed2"], "references": ["c665e0e48131d80f351ada7e41307a3543ccb156", "a14bab862fc6b3f4a4db18cb8953aa8227446142", "3e9dbcfa79e9695b925d370bffd77a8f99e091f2", "a875a30d554f24b49debbc2929c9012ebd2f107a", "31e4725e74bf623aeaf86782f52d9f140b2af153", "93fca1465300107c369de4d3956a77d9a8c3e5f8", "e941667ffd52d8e1a0047e8f46b6e27c3ab84dfc", "1c0e3c5e7f18afa0bb1116ae89fef92d95d5ef49", "394d9c9d3214a11466c3ab82bed97bb0b5b0dfbf", "339558632f2d718136a723009de5cbccadfc079c"]}, "processed_text": "развитие перспектива использование технология беспилотный летательный аппарат управление сельскохозяйственный производство"}
{"_id": "c2ea4bf0282b9b39a6ba773581332bb0587ec4ab", "text": "ОБНАРУЖЕНИЕ НЕЖЕЛАТЕЛЬНОЙ ПОЧТЫ ПО ЭЛЕКТРОННОЙ ПОЧТЕ С ПОМОЩЬЮ КЛАССИФИКАТОРОВ И ТЕХНОЛОГИИ ADABOOST", "metadata": {"authors": [], "year": 2017, "cited_by": [], "references": ["5568c78e4dd7bbe5ff56ad4477370014221aee5d", "9b1dee72bc7a0b67507952e5eb3af40b636875a2", "bdd0bc95341580cede9ab2cd1e4a693710e07cb5", "605d5d73be49fa26ced609b0e877452e0e181feb", "1bfc7c16ebab6f47e8769c56391940aebe87c060", "1ef7d60e44998647847ca0636551eb0aaa9fa20e", "0a3c061e24a3b715d640515a25cf6f23290cb79d"]}, "processed_text": "обнаружение нежелательный почта электронный почта помощь классификатор технология adaboost"}
{"_id": "03d23160e7066e5adab0d55779287e3c4982b9d5", "text": "Анализ человеческих лиц с использованием модели отражения кожи, основанной на измерениях", "metadata": {"authors": ["1784306", "1752521", "1701371", "3083909", "2497201", "3211818", "3113446", "48174479", "34494023", "7336389", "37531639"], "year": 2006, "cited_by": [], "references": ["46af4e3272fe3dbc7ee648400fb049ae6d3689cd", "08ac06beff1ee59378f119b9d063b1cb17530344", "364f357d4894aa004e442a5a92896a9b14a46862", "ac59bd7c4b7798f96b205653c52a76bb9011423d", "59f7cce2b7ddf3a92efa6374f7e5c8ff5eb25700", "f4049154fd12b9f795dfc6619fa0d221b5107a88", "2327c5cf741832fbd9feaba1cbd1356fc8683fce", "80aa252dac375afc6288e2f72a472ddf953f3fc9", "c80820bfb0c5e02afe96d31cf29f8299cdb57849", "0f1536ff66ea4f13612e945c8efc74afbf477730"]}, "processed_text": "анализ человеческий лицо использование модель отражение кожа основать измерение"}
{"_id": "314d65679c866483277fcc209ad89e7abab20126", "text": "Легкое предотвращение архитектурной эрозии", "metadata": {"authors": ["2474223", "1688544", "1697932"], "year": 2003, "cited_by": ["688e2db8d3814c49d33632ecb3c9b5bbfa06afaf", "8d319dff8ac18382ea641ead5b30a1651ae7f8f1", "ec8634ef6c95dcf19c3808d654f2101d31d6370b", "73f84ae56536537232937d20da8e51760f5be924", "b54c5efeeef281d54b09b0304176734e9b2f10a3", "09a1f29628f661ed6834ab623516653df1c79082"], "references": ["799a61bb46a1b85e102ef7fdcf3a65a090082260", "3dd3cc200865265174739690d451a7c2a05e865c", "02046f568580ba8d955934fa787733c98f1611e9", "412fe6c9f794f183d3ca6e1d92960befdb879693", "49eed9aad2412af30bfad2adc39a13b23ab0fa78", "a0d1bbee18932930bc0b7e1e61f09850c264f316", "25bc573a4c8b9ea9314f82797bbfafb2ffbd2d3a", "f4bf06346a154c54d6f2cae2db359eb21f70c37d", "04109164cad9a03575aea5e0394d177101a4e4f6", "5ae9347fe6f6dfc6bb38fd7b51f10ec8ec6cdebe"]}, "processed_text": "лёгкий предотвращение архитектурный эрозия"}
{"_id": "7445178858159988f2b17aa21376e13767fce5a6", "text": "На пути к эффективным криптографическим системам группового контроля доступа", "metadata": {"authors": ["3490194"], "year": 2018, "cited_by": [], "references": ["3455b040c80d8bdbbc9e8b2d8c3365fcb056043f", "25029ea56641c49ef22688a4a1599a644bd9dc19", "7381426ddc5d51e81fec419daadfdd3d7062be92", "6ba7a9e2bc2c8f3fe7623fc3006c150eb5bf1717", "3ba417ea56a327ed9636155032aa7c2eedd5838c", "6e8cf181b6e4d759f0416665a3a9f62ad37b316c"]}, "processed_text": "путь эффективный криптографический система групповой контроль доступ"}
{"_id": "4a343313042b654c7d85313de3d88486a1d0e9de", "text": "Интеллектуальный полив со встроенной системой", "metadata": {"authors": ["31385340", "30649920", "31365376", "30945023", "31096929"], "year": 2016, "cited_by": ["d88f377c90e33faef65dbcb454a5a10785bc0b14"], "references": ["6a1351bd1ec3daffffa5b16b50c658a448003e5e", "3505447904364877605aabaa450c09568c8db1ec", "2423d8fcd673165058e956b56ceefebf76986278"]}, "processed_text": "интеллектуальный полить встроить система"}
{"_id": "a6cc38100e4e5a679d920f2fe427d604557b6237", "text": "Измерение иллюзии размера глаз, вызванной подводкой для глаз, тушью для ресниц и тенями для век.", "metadata": {"authors": ["6144819", "6002005", "35179880"], "year": 2015, "cited_by": ["d95cc14c5b604710afccef0e7fee983bbb71176f", "0003827321710715d2a62b436f3fc11ed80dd703"], "references": ["8199c876e62d3ecae01d937bc13ad4ecd1261072", "b58ac39705ba8b6df6c87e7f662d4041eeb032b6", "ccc17f4635d0b3e1665068b8f396aaef07f15758", "b5ec6db05b8ff1893dd1bf1da9ae174be38a8ec7", "252d59ee2958557f633354ae5420cd1fe944c97e", "02816278ba8e4c1d69ae9b056057f1206455b709", "39d4830750c5000c1b61d81c2ebda84f8bc714f1", "8ba1bb49fe554b6b7882c598367e7a72cfca34e3", "548e23658e3c0ab9f38b640dd79315a59988636c", "14d2e8cb306b0f6344dc72d54e8ee14a594fe967"]}, "processed_text": "измерение иллюзия размер глаз вызвать подводка глаз тушь ресница тень век"}
{"_id": "349099074825c262b3f7c150ac8d470aabcebada", "text": "Преодоление барьера транзакций: Правила объединения майнинговых операций между транзакциями", "metadata": {"authors": ["1699730", "1775519", "1722175", "1750982"], "year": 1999, "cited_by": ["029f05a09382bb1b2659d0c2ec3170d4bbcd666c", "9fe7c61f494afdc02bbdd44dfa470c64725f7c8a", "08438446327ad35eda4efbb4720f55d1a7ac80d4", "7dbcb50360289ade943f0d1f4e727d62ee5b8d8b", "fd532d3d2a68fb3195de397382da1a5bc70d5640", "2fee869c66d4273d7e9e6b3e738459efbf8b9d81", "b6f4e1d4d1e093d1b8f0fa46e113e5396e358e67", "3875412322330ce16b546f8c182af8dcb3605ab7", "ff1da341c2ca5bccc1e172ff9d693463513e54dc", "a0a50ff5899608c0af2dae6b78e08fa41d9d3d38", "7d6144a4a76172b98048899a1c9a889ff965e4e2", "1c48efc908ec75843a6e5a750c5ab8a76f21bb8b", "e608b45fc0072d6a181422b5111ba567da8b8aba", "53805e369e316e1c4dc46eae303eb98c05c7b6f5", "6ce08b563cca3b6ffaaf01be3533b0a4070c1399", "d7e7f5ad6a185ca4356372f3dee455f4c80364f0", "a1938f820c429d20ed95f6cd1bdd2f2f8e1f9d60", "a41790448f67b698c148252641466d7a40d51be9", "1756c15fbc9cbdfc715d500bd2f99ff8042cbec8", "6ef385bf1465177f16549e522a32d0caa8afd44f", "d9c504f84d054ccbd02ab6f24b776d7e77bc9224", "789931daef317949580892cac588a7e645e1104c", "07c9245b90c4d18e0c6cf01a45589178fbd6f173", "ae57c46a1b3918fef4663ec955d65bf4c1d17f9d", "7a0ee410b4fd0a488b314caa23d6b52e3f0fea4c", "4fec01de28a635ac0bb440b31545203f93483e78", "5097bf409a7af32911fd92753dfd719abf62de37", "56ebe1e4b4ea3a5a73089679b61011f4a59c2ffa", "bd8cb19602dbb872f5e86420604b3a3f6072ae61", "8bc77e35f9bc303fd9ddae3adc84bd9940e5c45a", "d5a6091e893f00209331f2c337aa8196483e35fc", "1fc47e6e1e65f71a7080f0320910962ff08d6fa6", "b80e5efc4daa9a07d9e1b95c1c5f6c595d1dbf61", "9b3c437cff8269e1e79ac410aeb8b138d63d8be0", "80b432badcb4ab067c7da14ac7c3f69ee78fe5cb", "d112dccd16092ab2f2b25344386e687f6be45215", "12ae19ca856b476537bd9d1b34164185832c9be1", "bf5be3347e43a9073f0505ba4e50e097b600de97", "9184fe8ee03243cc0deba189b7488b3af2f7826c", "a18205d645096f40bb9844293a4ca414e283ac64", "31ae73e38bdfd5d901fabf7ec437d88e2f3104bc", "eee559ad5c28fde48797e2b680ee899a05300c14", "9811ab73e7459bed981b49b3ef199307527ff0e6", "c1a6b1940a48b217f270a63d170e4071ab188ea6", "804f65dfe6b0c5c42438df6b0b054fc9c8199d60", "e16154148519486420873a7dc6531f436cc50b4e", "f9ed821b2a9a694a3a69acaf7ac88a261e9d948a", "dcb8631ae87ad6a2ee50d8b0bb593393808a6dfa", "32804cd81915012fed462a9335cbd854a0e6193f", "c892979473c9c1b91e6566664d4fc46e71fed524", "3f5dd458ec7a4e45a0ad8cdfb34cb1a1baa5c4d4", "c7eb4b769ccc0ab0e4ee0a8c7332d2dccd697cdb", "fe906b7adc67f67872a60c96007a53e894393b18", "4f55217c4d850db2cb7b3048cb1152bc22995549", "7d29a3a8294179116e0ef12ef621993070cbe7b7", "87cf359299a4fa51e35b5f5b6272649da97e4f1d", "762fe8dc9687e52cfa33d8d254cdd4e565cb1bd2", "9aaa8d975c9bcfccd30eb98d803d49e0f6096326"], "references": ["073bc17edb8e397439fe28c9394ca25f8bff9770", "1f9ede76dbbd6caf7e3877918fae0d421c6f180c", "3a932716ed323b247a828bd0fd8ae9b2ee0197b2", "204dfcb69b84392b06844422a0bbe2d386f5ddcb", "247c247cffe712ff3219983d3ccb42699130fff0", "288c67457f09c0c30cadd7439040114e9c377bc3", "2b0750d16db1ecf66a3c753264f207c2cb480bde", "f53fb78edef9763c32d290f63e11f6204a103c48", "780e2631adae2fb3fa43965bdeddc0f3b885e20d"]}, "processed_text": "преодоление барьер транзакция правило объединение майнинговый операция транзакция"}
{"_id": "033897d56c7cf4f084dec1fad072f1a6aca65c6e", "text": "Извлечение признаков и обнаружение дубликатов для интеллектуального анализа текста : Опрос", "metadata": {"authors": ["3061801"], "year": 2017, "cited_by": [], "references": ["e8b7783db07a89917e8fb1a06227e3a9d64b4242", "20c0d7c37e5ba906485b1df568a8ded03e0e5c3a", "037d06317fd25ad843bd20f90e9b14d072c4bca9", "be0ca2a8054c2778c2dc2f8c6bbbc1707db34fff", "13d793bb81ce3033b013c66ac45f387012422183", "6a21158317711c9b349c68cd7e7b2a92efbbb074", "764829f22070251140f2476d437dfa8915338b6b", "8a26d0999ac26c54dac264a3ac041c6d8fd53435", "52827ea0dde6aa4da530597bd63ce8817002cfb4", "586ed71b41362ef55e92475ff063a753e8536afe"]}, "processed_text": "извлечение признак обнаружение дубликат интеллектуальный анализ текст опрос"}
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{"_id": "ea41155338edfcbf2891dbfc58698c34b03da068", "text": "Обзор моделей клинического прогнозирования", "metadata": {"authors": ["3044749", "50025693"], "year": 2015, "cited_by": ["5d500ff62baeac5a27ea7512a833e2a25dcb2354", "0eed122621759b70f005371076d5c2243f63df28", "e79731819ceb4bc0ae51b8e09533e0739e9d9d27", "5cf9d455f954eb48005aed321b2911e0deca3781", "1d4515b228621962f48e873d50edd7442d6b3fc5", "cebd268d73522c97bae7bfddebb6a2ad759bd155", "c1eded3b4de71dddcd766b239816f13402e1b6a4", "80fc283900e930a8ab5d7b525f258cf620b9bf8e", "9d15c3d51114e2c3d738b87b895ee2734e8b3430", "3a9dc97916ed05badf0e4c913bf293cbd9a4d82c", "776506d8f8f68a64d56827d01ee4580a482a7d19", "3e9b0bb7465a6b13b2fb642a4433c8693639c517", "906959aee771d0f748b486be74deac926c4d79c0", "374fd3827e4431bb80b7f64a9b6375837fa3c952", "85ad5ca3021043218328934b07f98b8f6c23a683"], "references": ["1c7d38f68fe1150895a186e30b60c02dd89a676a", "ee4af8e4fa646ab72ddcc3a8a62cba832f1040fc", "190adfa68b52edf338bee01391c6bfcab9db4da6", "44a0d0d459f2a46753758742eac90d286e3b9859", "e99954dff1ac44cb2d90b9dcbe3f86b692264791", "22d7bc9ed36399de19932eabafa09db247448a9b", "ed26bf4fa60e1d78f2f306cbe4af0c7ec54446fc", "450086eb400183aa694a8714d46b976b3b4f9b5c", "4beacec3b311820a271f28d10e6d23b4a1c2f311", "65cba5719e3980502116073b82620db8a0ebe406"]}, "processed_text": "обзор модель клинический прогнозирование"}
{"_id": "d27272027cd84341070fd4b7eb7e03dcb514d93f", "text": "Сеть двойного прогнозирования для создания субтитров к изображениям", "metadata": {"authors": ["1687503", "47908786", "36158244", "46457827", "1731570"], "year": 2018, "cited_by": [], "references": ["12441a74e709ddab53f9039cf507491df7b3840a", "7985ac55e170273dd0ffa6bd756e588bab301d57", "e29739176a9b8fed1752784b186a96246dbf7407", "0b3cfbf79d50dae4a16584533227bb728e3522aa", "3d275a4e4f44d452f21e0e0ff6145a5e18e6cf87", "255e97d82f528b613dbe8883727abfd14f3f9f39", "a0e03c5b647438299c79c71458e6b1776082a37b", "a2c2999b134ba376c5ba3b610900a8d07722ccb3", "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "afb353801ce723951f0d8f9ed4b5ff9b41615601"]}, "processed_text": "сеть двойной прогнозирование создание субтитр изображение"}
{"_id": "963eddddb0bc779ea1c7513e8cedd396882e3589", "text": "Quark-X: Эффективная платформа обработки данных Top-K для четырехъядерных хранилищ RDF", "metadata": {"authors": ["50334798", "1751538", "1868108", "2371592"], "year": 2016, "cited_by": ["eefa561314f02ff4ccab8c570344d53ac773ca73", "759c0cc2cf7128218160926c37634f0bbd9c7213"], "references": ["5667528b5502e45544ecd414820e1a96edbede3e", "20a773041aa5667fbcf5378ac87cad2edbfd28b7", "0efcd1d38ad020da7c01613b7818eb123cb34121", "4568c809dead8911251691aba035f4c51ce43e5f", "097903c02dabcf3db598bde52fa9726c256be00c", "51f31f5bd6440932ab60b7af07fa9923d7441bb4", "744eacc689e1be16de6ca1f386ea3088abacad49", "de1984b36e70ece3f029b0bc0143428e72eb1b64", "6c432dc257978ef7890369194512b07dcb18e9e4", "91a353974741cdcac274f8dfeabde87430fbc05b"]}, "processed_text": "quark x эффективный платформа обработка данные top k четырехъядерный хранилище rdf"}
{"_id": "a19ec034e56bc7ff81240a1e4530f608fc262a96", "text": "Мультимодальное распознавание речи: повышение точности при использовании высокоскоростных видеоданных", "metadata": {"authors": ["3444497", "50815361", "13804831", "1741962", "19199811", "46337611", "1720942", "2851907"], "year": 2018, "cited_by": ["b71e598fa9b395adc69aa7e0e3cf24f11cc20052"], "references": ["3817f4c05b7316a405c2aadf80eb113d8fbb82d6", "b0c59ca7251fba3274e9dc04e9dd402cae9a05ae", "01fecf4553132a5252b6bf6d264f68568a8dbf6e", "4c842fbd4c032dd4d931eb6ff1eaa2a13450b7af", "3ccf2122a3890b062798790acc8d1d1c084a7b0f", "839104964d04c505a827ae854e1251271968c7f7", "d0aa3d61ad1fae23ce8717ec1bcac5cf7281649c", "2c95d3d33038d065599dd70e8ba0e5e23ffb3f05", "642f840b44fad1d5e5d72a6b383e1c12cd4366c2", "5c60e7fa6ff57faeee0c5e8102d359988fe41ad2"]}, "processed_text": "мультимодальный распознавание речь повышение точность использование высокоскоростной видеоданные"}
{"_id": "901a4c9388b3cb9d30edc3e4a7ea7efb0b4e228b", "text": "Ответы на вопросы в контексте историй, генерируемых компьютерами", "metadata": {"authors": ["2787237", "3290789", "2774544", "49044719"], "year": 2016, "cited_by": ["f5d25495e56003c1ea41224a5e25006e15abe68f", "86249e0ee44cadcdbb7cd93f8d448d73ed2b3a6c", "2bd4f4cac431396bd25ecec42ab9b044c9d7efa6", "12e73ca44d6121e49ba08f8196d9227b7001d9be", "084afedc26dad5d9f8208c35c602b4681fc0e2a1", "3af130e2fd41143d5fc49503830bbd7bafd01f8b", "1e464fa077378946deb15335c3bd6b55ce3b3045", "883ab02111bbf619776759d8e00c35aea4893fc8", "6e978baa0beaeaa22e8de818bd48aa984d8e459c", "ee47d5612a512def30803a1b0e69647df5318257", "53b1792c05ca653127dbe01001c5910c711ae0f9", "308578dbfc7dfe42388071100f32894ca1738185", "1514b7960e60c892862bc9fe13f3f4dcc10a9bdc", "d038bb295789a3d87472e0130bd125391c66159f", "232a4837966566f6c99800bd07dc8532b4305b11", "d0f330a2270cbfb0caa71f09d30f624c00a93a0c", "c17310f86107f0ed08549e96a923b896ad968f8d", "0c647bbae4dc76a99f95bb50d6e89f04e8e41cc6", "e771258bf5b77172bc5971c4b09cc442ea16ed19"], "references": ["2626e27ab5af85d64dfd802428dcd4e4b85ffbc9", "af2a6bcf606aa21de887b9ce15152eed2191b562", "081a25ce699947e42c049e21037365d04afc2391", "0a37a647a2f8464379a1fe327f93561c90d91405", "2a719abed53e461978f6ce952d4cc5ef0b295127", "1ebcd67d3d79107b5d49f99261b992e7c1a7328c", "3c25c0b97f3bfba120a32aafe82cf7ed2f5e7f62", "1986349b2df8b9d4064453d169d69ecfde283e27", "d1a1200f28b9b93224a8d26590b718986239a899", "77bee9e4c5988f3f92ce369f60985f83dbcfa9f2"]}, "processed_text": "ответ вопрос контекст история генерировать компьютер"}
{"_id": "280c96ea1644257069e16660a6a3a3a53f25858e", "text": "Оценка бизнес-моделей прогнозирующего обслуживания как услуги в Интернете вещей", "metadata": {"authors": ["51205203", "46950023", "51183903"], "year": 2018, "cited_by": [], "references": ["9dd6ff42ef3c3d71029ba45d7f85bc37648011d5", "643276d5f20f3a2b467a8d04c7a27aae04da1e08", "4601be5cef2c865a796f9da9365cd6b383d76c35", "9a2a3b9797379f1d45c22990cb5f1fdf0a66836e", "48b9293cfd4297f855867ca278f7069abc6a9c24", "5d92ce09b25a8ce3b874e24ee03d2a76adebbd2f", "b7fba13783ff14db9eb869dc3c9e4c69a9455b04", "4f71708b58af718926d4cff1b3be4e6fda6f676f", "71b2a39006fd0d653d7b1444e9b30e1d85d6e67a", "dcd2fa045a2db9cdec307d470fb709b4f5d46981"]}, "processed_text": "оценка бизнес модель прогнозировать обслуживание услуга интернет вещь"}
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{"_id": "831e3f18d25cc65b6cd18f21ca5ad57bdc53cfce", "text": "Оценочные наборы данных для анализа настроений в Twitter: опрос и новый набор данных STS-Gold", "metadata": {"authors": ["2874824", "33402800", "1704133", "2798006"], "year": 2013, "cited_by": ["15eea8b066d480477ab312d28478f7b6bbfa2ea6", "1f6a7b92ba0d891be899dd60e30a6793c97bbb13", "28b66b2b4dfbbe9f687c9f55afd043baa7da9c0a", "495c1db85506d5ce15dc21f2a9ed734fa3c250a1", "975e0920c62bc3158e9db9df763de6a74a4ec88a", "f4718e4d3c62bae501975950a541981a8db7a858", "84d7e78189ad7e70aa3aa065310ccaf16f6d88e4", "305140774dd18d6a8d2dd1de8915737bc22ae2b5", "72f043ebf781ac255e5f2282a986d94398cdd165", "0f3d09e7d6dd2cd2ef4963f1abae2c167a3aa98a", "8370df3e4df97d9c44f2abf15d9adf33b287d2da", "f515e0515ed16abccc7adfc35ce6d9c41d9c5747", "0d7a6ff380bb7bea5785f8060a0f45e621eb416b", "7c950ae2a5820fec01a73b2a64557569c7bce566", "89de77656d635fde52e38dc48e591556247fdd7c", "6a93f293cf72c2c4c330926eb72efb4ffbf326d2", 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{"_id": "546b3592f59b3445ef12fba506b729c832198c33", "text": "Фотореалистичное одиночное изображение сверхразрешения с использованием генеративной состязательной сети", "metadata": {"authors": ["1779917", "2073063", "32692095", "46320681", "47614645", "3017536", "49931957", "41203992", "1853456", "34627233", "2700496"], "year": 2017, "cited_by": ["1021a5c97333f7bc999373a18ccc5afadb58b0d5", "745c605067b54bba4885411de94d25e3e974ebbf", "587defe9a5bc82231793dc311e808dbce9040be2", "eef29a4fef85c7ed8acde9ca42f8f09d944f361d", "5d78fcc8ea2771c8408cf6f66f31f3090b6b5637", "2550b5e0dba7e8f57f36ac5dc0a4e2f968493ac4", "484d3f1db7c8f89d6cb5c11c2633a8cc316df009", "2c5726ce28186b5c8b275d1d2dc296d9db9528ca", "2b1c522d68d526caa0affd82bd3c7c685eaa7640", "c809df01ef08dfa52bc8321d3f43b5c26495182e", "7f829a4ce695adda06a2a7b605627c30b1239b27", "f548263fe31d27d3b579909324b5709a7f51e9ef", "b25e1a9da4651c65cc4b0e54a7ad8100f28bf658", "244c7d89bcd67b26756123edf44c71fd5f39dea6", 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{"_id": "20704643278111342011c702aedf66c04a2c8e63", "text": "Опрос о требованиях пользователей к биометрической аутентификации на смартфонах", "metadata": {"authors": ["3099879", "2795942", "1706506"], "year": 2015, "cited_by": ["2e091ec49b3d7a1f5647d9cdb844d72d33c05204"], "references": ["bf1823ca83e6b88cbef7f85ad1bd9eb1342499cc", "c3b3e644b4dd3dcb70294a025ca837ed9616580d", "c7b8ac9b3a6bac3099657cc14e1d790866a3eb27", "6c58b958d508bf50960cec27d62951ca3a84906e", "8434f1a7b1528f2d9777008b96fc78d248f62e5e", "fb363b5381a359152417badbf5ba08cc2cd0e02a", "230af8a972254b42b9b09c54c2611baa9ca0873c", "4dc0930eb1d83d5f6f54eac04cbdba4a8b55adad", "e83a2fa459ba921fb176beacba96038a502ff64d", "15aaf3c9b249cc8a2d9d85a90e48256294875a56"]}, "processed_text": "опрос требование пользователь биометрический аутентификация смартфон"}
{"_id": "79729be88ecf76e5e964ffb25e8bc3b396feacb4", "text": "Платформа для 3D-визуализации и манипуляций в иммерсивном пространстве с использованием неуправляемого бимануального интерфейса жестов", "metadata": {"authors": ["2571433", "48523045", "2479037", "34871059", "2242019"], "year": 2004, "cited_by": ["dcaff51081948219e0c35aae0f215c5ebab7cac1", "672194b48addbc25909579fefaf5bf11d38c823c", "213adf193f1199e5162ab2d6fabafa3ba565c3c3", "0baaf1e18726b0afc890bfc466df660b8222900f", "0a23d61830c08eb8783dfa58931d88a78addccc3", "c04b201748f7584054df5ad93626604ca17f10fb", "7905f3035c5b1a64bb582988e508ddce360b05f3", "cab91273f288d038efc98cfbc807b6dc3edf4ab1", "4fd6144d411ea3e83a0f7ec86d265eb7c21fbce5", "becee5cc4b946313ef9b85fbe4ee996955433530", "578b65d60df5452c591ca6c0c9ff14345a9d11ad", "dc733cce020ac194d51db9ec35832403dc1da02f", "93ecdee7879b8961d7fd461150eddb8b03e18bf8", "f1651147621ff21d68d32cddeafc44e25b05ffe0", "145bfea6e48f56296e5e70e88f3d76862ff75c60"], "references": ["4f7a0ab878930183b2d17b0512be4f72cb10b4f6", "8be4773bb1bb658e3f7b1b3947a1fc578f276be8", "0bb3ce67c4f54c4af59df80c3f95fdc4c52a8df7", "3cca5893dec798a9d7ad46183bf922cf054bd10e", "708f10b4e55897806f70a465fbc9fc773eb893d9", "8d741484ddbeeb6119322733f9eb85d309e23d22", "30950db8a2cae3630057efe731b85f7b567848b8", "7b44eac1c123a5b2e0e8b86030ca16c4bacc5170", "02577799e42ca27be18e0d37476b658f552b5be3", "d7e31c7bb8d7100c6a69d751ea78d1fa4961ce54"]}, "processed_text": "платформа 3d визуализация манипуляция иммерсивный пространство использование неуправляемый бимануальный интерфейс жест"}
{"_id": "27fb7f79c74af0de19b3a9691268f9ca32bdda82", "text": "Изображения процессов: Автоматическое переписывание графов для моноидальных категорий и приложений для квантовых вычислений", "metadata": {"authors": ["2405954"], "year": 2011, "cited_by": ["c6a67efcc49108ce3f75a07b1d3e1285f3dff9a0", "35d5c30a91dde043c4f23ee83a4790f673d30249", "a6e948945884d0bd66b3e7c5ad8903d0a34ffe26", "23717b322ed113b6dca49969bc0bf6b5d2efa3a1", "9d122b4f15c8f8cb945769cfe4d9fec2afc6ba01", "9872c015dbbec93b0b4ca68a0c3691d2bb1d6600", "343dfed8b6b8d5753c254b8276b421035ae0bcbe", "7bf7ae0798594518266a021cf7ff33a66960570e", "2705a365a04c1b81f45478986190424ff9cd8421", "50e7d20a008883bec98ab0b2d24e7d7e1e966347", "523dfbb7e20b82eaf842d05b1a10704716d4d579", "6910774f767522129d9bb2bb054eb3f88c117f03", "de284a12f3973cd90d66e12b7f3a9fa4c978e6ee", "9d42e5ae5cff3070095e34e8f00521cb8df66e30", "033499c0336b0b58e2454bf20a7acdd8fd218b7d", "17483d4a730975ed326796e52c6f963a089d233d", "b9a4d6072b68f425acdaf341d0a8d8ae6b25fe97", "7165bc8974b43ff054162be9867f29d4c03b0938", "fefa65c982f06b3b235157887aa407c67ed722ad", "352c88a4ca85f8854dbc6503a6a99237ba215315", "4b2da24a491f74d48287a795ae7163d644993587", "f92cd66bd4ede43733a6eaf97b509949f6ceb0c7", "7c281027685fe2e650bdbd2d6c471f38b0a993f1", "36aa70484c229fc5ff36a9eb8ae1a1fbb0486036", "6a59fc3fb1c523e4954c64b2e7ebd1d46dc8e2bf", "197ee4c2fc35ae0398ae5a625b7a3e6db88eb6b1"], "references": ["c9492af3982d540fa4c679a915384c2aa1d171a7", "6150bfcc49e9f714033853d712e7330cc723282a", "0a67746f8ddc3e943300afc3237957b4ecb021f6", "728932f125be3c9e0004cc20fee8f8e0863f22f2", "896e8da571544127daeee65be5b4671942a8ba5d", "a512b3e6183411cd5631659a43bd3a664d745828", "21d3281b8036dc78838fb40ae34e939194a40e3f", "1d41372e61379c72ac2572656075194471a8dbac", "81eeac414e41e4ccb3a244ae1a841b47836ccde8", "0ebd8042224c58c5e9b2bd0c48e1c503255084b3"]}, "processed_text": "изображение процесс автоматический переписывание граф моноидальный категория приложение квантовый вычисление"}
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{"_id": "5f16572861bf59950894f35aa896e4485868545e", "text": "2011 Отчет о дипломном проекте выпускной квалификационной работы по распознаванию местоположения для навигации вслепую в помещении Содержание", "metadata": {"authors": ["27977324", "1699032"], "year": 2011, "cited_by": [], "references": ["a1032ce97a3a1e31bb6ace959d884f0d5600a03b", "fb19554230f5e393f6e46febcfc3aac5371f73a2", "3b89503d46268742ce26e3e446cb42cf2e6651b0", "3a8c09b65338e4bf3c7c36e85e2c2ee45049a23d", "a7a22883fa1d4e1b27782d26855dbaee107cb532", "56b228ad5d1efba154eec2e63f41011f563d6469", "664d47c2cd4a07eb3dff82d6466453f5e8ec3bc9", "b1397c9085361f308bd70793fc2427a4416973d7", "e20aae4ce14009f689b55ebaf9dac541b88fb18d", "fd55690d10f4546c738bbcd44f61e0f91d33e914"]}, "processed_text": "2011 отчёт дипломный проект выпускной квалификационный работа распознавание местоположение навигация вслепую помещение содержание"}
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{"_id": "44872f2260ae42c162c2e8ed428c852f5e05fa24", "text": "DPICO: высокоскоростной механизм глубокой проверки пакетов, использующий компактные конечные автоматы", "metadata": {"authors": ["49663836", "49513283"], "year": 2007, "cited_by": ["124a68ff597da2232372f5ec34956f4a299a4042", "d70a215e88edd751c3cab3bdff27a29f15daed38", "1501b31fa197e45a148bd7e0f9d77cfbfd7d4098", "80ad46c4fba3007544b26a1efcd9539fc280428b", "ddf4da9467a27048fcc1a1fcad91d6f38194b847", "0b630b9afeb3d69645845c6cc124cb08d3d85a62", "06bdd2cef5a9dfccf768b218f1539aa2df9d505c", "62a0679e907920eab5c05fb2f214d09dc718d5ae", "949cd6ea168542f73b4193eedb69b583994c7eec", "88fafdb5a1e2fde9225127b007f1f08ccc3711bf", "050b4249d9047f494ee17f31e40bf94c98b4f686", "dec09c8354e4b4e597e3c470fd0e494c9fa7dfc5", "6814013255038c2a4daf909239a4886e98ef559d", "835990c44d557e41e9f75bcf6a53eee27f964b70", "04674602de715a3eb9e9fa4fb91c7cc793a65180", "d3d529341be487eb7b15749a5d802db7070a8260", "cf5eee2b18c0502760627d62201640e440a7a3e8", "26872a360a9e6b1dbcda37d7f4873a43b3479a7c", "3341bb1a8671255054b3b9db0704d03e1d691808", "94760d566b6fd47b8579525048d60ba5fb7f60b7", "a61db13166fbba2d1d3c17fefe13481ef87d674c", "79fd1c86a6dcd80f45944d436a82cb5c45ac5af3", "53fde9f5b9820b4499afd7d1560f86d5e3aeb1f4", "2fb7beae5fd7b96faea01dae21d080fdc3d55958", "e09e9a2aaddcb2e0bc183a6a51b735527c4bad37", "961a0577e82bc35de1481fa9a7df4b4ceee397b3", "a203965febef687d87d9c2ee381d79fcb6a58cb4", "987927d177d781200dfe03884effbee72dcc95f9", "ffcb12e4258d52fa15bc5c234127cdb3e30f8d7e", "aa8ac2c802eee0a8322672d882c85ee45b12308c", "3b3c8d04571b2a9073e5a24d2dbf48309f1ad474", "12110aa978e1d5789e6dcd59afc05e46506d47a7", "d4cd54f346777aa0edfc876f250d9a1c51160c89"], "references": ["3618745140ad62f653563593220f20ce666b8ba9", "6b0bc23f261868a3c06b991a24ae2f798c15a692", "a21b108a7fddb8fd65ea03db30dd685679294d28", "3b8c6253f25595d705c3ac27ca7fbd9eaec17ab6", "53b65822d170af3f4a2b15eeb930a413b1109c79", "3593269a4bf87a7d0f7aba639a50bc74cb288fb1", "907a904924c4ab4b490620505b99d61aab72a210", "5b640b5a442a338783c6cefba3d208e0fc0f37e5", "6ea20fb6d3c163e6f781d5f7e112984d1f0a2060", "9543570fe50cfd2646194a08ecf941cf9e29301e"]}, "processed_text": "dpico высокоскоростной механизм глубокий проверка пакет использовать компактный конечный автомат"}
{"_id": "0f9bacfc21069a07bf3135cb0e94d83014933260", "text": "Можем ли мы превзойти мультиплексирование Адамара? Проектирование и анализ компьютерных систем обработки изображений на основе данных", "metadata": {"authors": ["39487011", "1793812", "1785066"], "year": 2014, "cited_by": ["e3bf9d82a2fc17533e193e88257df599061203c8", "0a5802fb681bd89b4733adee69ea380c17add643", "4b9544a8c8186134aba2af38b265588e9d3f1e43", "67ca650e7210b88928504ba20741a5adc66eea86", "724bd964a36e99c6f799cd36cd47043790de67d8", "1b94c1aac552ff43cf0aa09ca7add21c3062e76e", "8342ac9bf451801be517d8787491b08f02f55b12"], "references": ["eebfad424a89aefd03bdb114c7bac7844921ce5a", "21c7f491d4598e91bc5e4c294bd2e1ac2dbfe2ab", "23b453f4129827eed425713c3c61fd877195de67", "051a5110bab92cb89048ed426f28ebab9085945d", "94bb5dd9ba70717e977283ddda9f2992bc3cb6d7", "d569ff7a579778f2b8a74ae0f085ceb7fbd44930", "19ff1b024df539ea7aba640d4ad45cb309768610", "027267b8214884b6b0c061ea57bf01eca39fc5bb", "0d82394686322ee39a5ed9f2d590142b07b338d6", "8d2b002144f8583d96497d82bcc8081cd50b4fca"]}, "processed_text": "мочь превзойти мультиплексирование адамар проектирование анализ компьютерный система обработка изображение основа данные"}
{"_id": "b47402a9a68f23b548ae6e0349700ea651b7a373", "text": "Распознавание действий и описание видео с использованием визуального внимания", "metadata": {"authors": ["50214208"], "year": 2016, "cited_by": ["bebb4393952052fec2c3b8cfb1adbf167b57737b"], "references": ["18cc17c06e34baaa3e196db07e20facdbb17026d", "14318685b5959b51d0f1e3db34643eb2855dc6d9", "533ee188324b833e059cb59b654e6160776d5812", "7845f1d3e796b5704d4bd37a945e0cf3fb8bbf1f", "6c8b30f63f265c32e26d999aa1fef5286b8308ad", "0d8b85953c25c23c512d4522d5597c8e3e0bb8c7", "5945464d47549e8dcaec37ad41471aa70001907f", "5807664af8e63d5207f59fb263c9e7bd3673be79", "39dba6f22d72853561a4ed684be265e179a39e4f", "025720574ef67672c44ba9e7065a83a5d6075c36"]}, "processed_text": "распознавание действие описание видео использование визуальный внимание"}
{"_id": "0e35c927c29d431812768f1ad7c4d6e35f0227b6", "text": "Эмоции и моральные суждения.", "metadata": {"authors": ["4840062", "34848131"], "year": 2013, "cited_by": ["b9fdd7341e754bfdae9e8480f6671bfa3932f57f", "a944f77cc523e383de3fbc4f90b29b3d4fbe8412", "f687e6aa1b54f6abdfd8d0c7bc24f66f714c06df", "c5eb3ec63d8d8bcc5efe1ffc43ee4dcfa8405f89", "3010e8142d498deed2a8466a97ac1c6d1094f589", "8400ea51aa43274a6e4b10c7c86fd696cc586231", "880eba0b7be9269241daa07432c5604186a18445", "1acf2e30c79d7602991721e02f44126ddc02b081", "6ccee4c6d9a6ba4e32318128cc7d7831442de7d5", "1fff16cdaa1ba8073547034b9009ae5abf5b257c"], "references": ["25f82d16a55bf610453c275a8fa43419d3f05777", "c35c09b7bdea98f35eebee901a3057a445e43ff9", "e9e66d380f4fb7d88c78a01587f5a3c65df13768", "36d3bc7659ef1dc4c8504b6a0cb82329b0ac39bf", "22e4e18004f0e60690256e6a3844767c2b56a8b4", "9f22d8a6ccb8eeef5b3c792dd656ae406469a5ea", "77744a7f73f7107f7570797600d691b1d60cf320", "b39b3752c5f5071ced9bf5a0de0500902243467d", "dc988db35a1a3558de7e782ad5c2ef84f9c98487", "0452e554681e6337f32427fe0390ad85167c1e27"]}, "processed_text": "эмоция моральный суждение"}
{"_id": "4c37a3aa3a27bfb6fa73226e14ded88585cad97c", "text": "PKOM: Инструмент для кластеризации, анализа и сравнения больших коллекций химических веществ", "metadata": {"authors": ["49513546", "1991678", "50390609", "40016136"], "year": 2016, "cited_by": [], "references": ["0373bf82e85727a2c7b0893de1a573e88500f080", "8eced091ab3e3fd0b1747896cff082711c510d4a", "58be188245e2727a8fe7a8a063c353c06c67035b", "a2479c5e9fda339598bacbfde6b8cb3f57a994ed", "0d2d0c959674f9ca6dc623cd98a3469f97075242", "c0dbe4465560aff79dc45610e6d1cf9871fdf814", "559e78211f0160798f1fa0d064aad89dbddc6b8f", "6bd3a92d1d6ee1f18024e322a159f356de5e44dc", "292a5a7fed5e19b34ee123f5bc5866e3a68a6eae", "61fccf5f7472551cecd6e0e0752e530c9dd24c7a"]}, "processed_text": "pkom инструмент кластеризация анализ сравнение больший коллекция химический вещество"}
{"_id": "9601f6f29b1b34eaee73071de615995a5a8c5d5b", "text": "Недостаточно работающий пропеллер для управления положением в микроаэромобилях", "metadata": {"authors": ["30811025", "1715986"], "year": 2013, "cited_by": ["d7a01101afa01d462f0a3c8566e96c93fe8ef577", "02f4e10d726692c7b5d0df4ba3c42bd5a77165f8", "2adf5c564dbf1ef25507833c3acde6b4c197e721", "172a43fb1c682507667c401a6af0de29e69087dc", "0aaa7a1f7ae71c4430e39f96193ec8a2e9284ea6"], "references": ["b063239bd450038531eeb2db5466eaed34a0f9a0", "aa7e8a8f5cb00cee92ea183052758565c9a320f9", "4b9041b5aabf05b167136405b9fa8b22b03b5090", "15b508818f22771d26e37c70a121a5e7239337de", "29b8c871ab25e5736e2542aad45a50d0d341ebb0", "8ac4024505ce31f47553f1c3b5ff6f4ffd8bd1bf", "158a08fe813ac13b75a1b8b538989a3abbfe23c7"]}, "processed_text": "недостаточно работать пропеллер управление положение микроаэромобилях"}
{"_id": "76c452b8934051aef5e91ea66db21d6749f1086c", "text": "Вероятностное структурирование текста: эксперименты с упорядочением предложений", "metadata": {"authors": ["1747893"], "year": 2003, "cited_by": ["6f70f6405639968ed52e0c4060a0efc4fb6bec6e", "30f16185f49adfab86546f5180241a1c73f61482", "9073323ae9255e118d04fcda21d759f059101b6f", "516fbbd3d6891959b957d781e0578cca39cdcd56", "80676b9c23d161fd1d6da43936d8393502eca6af", "d45785ea26e848c93fd17a8222734192ff0ae9d6", "0e193ca285062fc348baf0abb039848687b7757d", "670538ebcb3d203db8dba480645d1d8445e9b27c", "8fb0b47b89aa0e2ac286f43eda67f8ae7120fc49", "5d10edca8594c5ee2dff9b6178db20f5363f86d4", "8264a8418e84e4bd7a74c99a9c18ef1688598058", "499e9703d345d3f43b57799ced1c5640bb8a6b7d", "0182702cf31e1eac04bbc1a770a30d48f25ba29d", "6c1403d5d7968ee79cf5076cf3bf598a2d8133c4", "82be8d2d82f780f811899fda714e242312e6aa80", "1025bb36b4ba6703770c98e0a6e1803520cde5a8", "e3abb96bfa9d6bcf49a1880a2170b00d9064fc54", "9d6fd2d925042e004bacd1d5e47e3392147c6b9f", 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{"_id": "c81243651340f396c9100e86352cb43933307be9", "text": "Снижение несбалансированной осевой магнитной силы при послеаварийной работе новой шестифазной двухстаторной машины с осевым магнитным потоком PM с использованием модельного прогнозирующего управления", "metadata": {"authors": ["9719929", "39790066", "1698228", "29422522", "9504241"], "year": 2017, "cited_by": ["0cc65010492c649fc56de047c9becd65f2db8289"], "references": ["78c01b4045ec62437872c1d75fdd5da7bd111e03", "4f8cbe32bbbc552c733500e05881b2a12945b624", "367a65f0321c359ff2e8b863f9b30c7bd0f36a42", "aa718eb85f721f17b27060fa01be22dd07945275", "6253699f3a12204bcf83b0e96e4a5be9aa840270", "b0e98cb07dbcbfe69313f356c3e614c187b67fd8", "6e712ec402b1bc66d24f25b501f561a3a5156efd", "c1718fb990907c2a95228ce8cc8911c37222c4be", "fb358ff79cdc6e5b9a7906c6d99e3abc91a39b80", "8c13c0561c22f4a771de57df9a6747b6d4f2ac7d"]}, "processed_text": "снижение несбалансированный осевой магнитная сила послеаварийный работа новый шестифазный двухстаторный машина осевой магнитный поток pm использование модельный прогнозировать управление"}
{"_id": "6d1a69023e48422b25202a5ad823d12975291666", "text": "Оптимизированная система управления энергопотреблением дома с интегрированными возобновляемыми источниками энергии и ресурсами хранения", "metadata": {"authors": ["2185595", "1715535", "1685054", "23738082", "2934922", "2538908", "3030353", "2785293"], "year": 2017, "cited_by": ["63f1619262ca257fb61e41f93f7e5654dd5d5d77", "14b9da97d0fadbddaa65f06dc09d1ab6569876c3", "115e60da29fa865b7611ce8ce0b41c66fed2925b", "f6161c45713dfb9b4d9b5066f96c093de8c94e6b", "2e53a88c34b0e11be36b6ed7392276b47d5a8db2", "1705643bc73d87542a42623c744da12af562076f", "4bb22314f216265be728970cf4abd3f76ca2e88e", "bcde8721fb17c82c8489f9363b646cf6f33eeb8c", "2a363cb985484c2934ff59f092c2bcb7637ec0fb", "17480ed065adf4a7242fe68c450c1489bd534222", "8d9d82e3455bc448a30ce165b7f93a34d4c47023", "f8d75440df08ec27cc1eb08d3896c555230db4cc", "bf1312ce33c4528e4b86f6f2551bfcf72970d77f", "3ffcd431ae301b27216e8bc2898f20caa51ee30c", "0a87415120a90c9f1f0ae114b5fa104f1ad29016", "b0f122beed2fb85b2c54f167e0ff6af50250c49a", "1b6480beeb002929993358dbc2888650811ce752", "56c487248573c4aa1194f514cdea60ea509d2f8d"], "references": ["fe1e3bb6301bdd25d46b80cda931ef8cd65d1f11", "7980e8ff465cdaee1b2ce4dc0bbe958c0d872994", "d5ab2ea1b584c0cbbc1511d86c72cbcb9aa436e5", "4e84dc54910877f7f33046c9a8bc668b4c28b425", "dd242f606a53ff71b3b6ff66508d90409485ca84", "c6654cd8a1ce6562330fad4e42ac5a5e86a52c98", "b7fe99ffb5373b98434db6e8aa33401de7898893", "ec47873194a900e57210a255cffdf499b7449294", "15b991b966a9b446705f4484e3380702121e470e", "8a2875016d1858b7e939a3b3f333a0430ec79acf"]}, "processed_text": "оптимизировать система управление энергопотребление дом интегрировать возобновлять источник энергия ресурс хранение"}
{"_id": "83718b398b9938b433e67376d1c95098a7f8812a", "text": "Обнаружение поднимающихся по лестнице с помощью стереовидения", "metadata": {"authors": ["31020798", "2737650", "38552199", "1781475"], "year": 2015, "cited_by": ["9243e69c377aeec51bca2d1e0ccc6db75414c644", "86558c2aa93bcb4cba53d0ec1763376a74ca5054", "776795d2ffc72a1cce1e573eddee0eb753e0a049", "03e48482ad930a146115330fb9b986ce1314c529", "52ca6f6412eaab9d1c0055e2578241c5eb99e37d", "8b7353d63ce87624c0b814e8b096978d48be9bf2"], "references": ["618ab526e080e0e97044fbecc92bdb41d17fb458", "734e4341a2507c9b6039869aeb4c138bb86ade00", "ba79e8bb4d80dce42d8bd307457fa146d3467800", "63623c63ffddd08d266d884680d3493e8b7705f1", "6b230a04451ac40af1a93b6bc4659ae2aea2c21a", "95f563c47bbf7a09f66e52ac867d4d93ab896f16", "6f04532ede848fab6cf58a4d4b1d69726b1e95ea", "12bbe86edaa37de516647a3d01d39f626db1f995", "d10cdbde5ff106d7614674c5a9544520e0424ed8", "2d8d5c7d02a7a54b99f1dc2499593a9289888831"]}, "processed_text": "обнаружение подниматься лестница помощь стереовидение"}
{"_id": "19cd76e349c5a2abdbcd0e741dc00b049591e7d3", "text": "Майнинг биржевого паттерна в гиперграфе, направленном на транзакцию биткоина", "metadata": {"authors": ["1746697", "1792856", "1846847", "49740098", "1726428", "3435363", "47050865"], "year": 2017, "cited_by": ["15a45ebbe8454a9126c1e74fc99574a450bdca03", "a900071e83647b412b013c66fb98998d4a62f5a1", "8cfe383b5874facf95291625c3d072eb0d6a492e", "f94796c80432f3ff1766eb12cb26eadac482c6b6", "8c17aa28207cf410a2ea21f1ea2c026ddecee37c", "e231f7aae1250e7498513e277399ccac911bddb2"], "references": ["2cde803f1f09c46902bf0685c2586b55aee429f6", "158b6f53220b212027c3ffcea56d062d61f9ffd5", "1652bc872f6dc07d8111de2d74fb9da2e1c7cd12", "aad9c378dc1485957ae8d661596462b2ec16ab24", "d0fa9fa9db95d3cfe8b4c42205ea9fff29a19115", "12d4ebe2727911fc18f1a6203dde2b1892057f83", "67af8bf83dc4354d1513b6f60b13df60f694c5b3", "78d1cc844f0ab403d1ecf0307d1fad5788642147", "be6b5028827044167b729b85625ae4b2972e35b2", "80373d92aed72f6a7267f1eb141cd3e24bcabf6e"]}, "processed_text": "майнинга биржевой паттерн гиперграф направить транзакция биткоина"}
{"_id": "30ef88ee401f70cf43b330b475d30f7f5e722630", "text": "Распознавание лиц при частичной окклюзии с использованием модели HMM и длины края лица", "metadata": {"authors": ["2935523", "9200676"], "year": 2014, "cited_by": [], "references": ["5985014dda6d502469614aae17349b4d08f9f74c", "73b767002eec82b2f783e0a56a3ea1854cb6e5f4", "09718bf335b926907ded5cb4c94784fd20e5ccd8", "55206f0b5f57ce17358999145506cd01e570358c", "21a910eae63acfbc2447cdca3056e1b6da967c16", "532913844a98cccd780207b78a3e2d642783595d", "2ed6f30a59d7d4ebaa69b3e61c62263d37a501ae", "5160569ca88171d5fa257582d161e9063c8f898d", "26d172f0a4d7e903ce388f3159059f9c5463e5c5", "147fe6bfc76f30ccacc3620662511e452bc395f6"]}, "processed_text": "распознавание лицо частичный окклюзия использование модель hmm длина край лицо"}
{"_id": "d2df6969b185a4017048f996d0e7cd1859c24e67", "text": "Анализ диапазона выходных данных для нейронных сетей с глубокой прямой связью", "metadata": {"authors": ["8235781", "37747652", "1741190", "2058684"], "year": 2018, "cited_by": ["080fee05fd4fbe369d74655f42f6c21bdb03df3f", "68be78825fea25de0a9c6ecfaa39b719cdeba09e", "82ce4c4b0bd6d565151495a1494309d3cfcdee1b", "5e1c3ebcdb78f165ec5753de6ff78366a0e9fa24", "c59b3edb1ea7abd4f33b0b7c6922187569432b11", "73793f7225d679f3f0be9611944136f145cfff6a", "13e11c21e0679d482ec224434121249826ef06a3", "006cf06771d9248428a759bb2be1ac824b08f89c", "41a1e10ff83eb29ee9898e340ff678f850c69c9b", "87e7ecb228364ff664fccbf3367855910f811a35", "9a044eec8de883d45bd748ef0694324f8b1a7812", "7b576abf87e9c469bd915fbce2a040ef049dc38e", "eeac617610e5b294e5b6912313184aeae65e7c70", "74ea94d956f5205ae733420fd8aa01d341aa7e6b"], "references": ["90096a59f94b552351ad386db7bee8f1932badc8", "b5a047dffc3d70dce19de61257605dfc8c69535c", "670fe43c1a89dd8451dbab41406f08ea688ad2b6", "72e55b90b5b791646266b0da8f6528d99aa96be5", "c94ef735b9c587c9d0fbc7cf890a664aa6951982", "0e71e8ec4e336aaaf4be08c890548ab3043e65bd", "433ef0b2da39bcd2c999196f1b800ff3aba121ed", "15cf63f8d44179423b4100531db4bb84245aa6f1", "333416708c80d0c163ca275d1b190b1f2576fa5f", "94187ef33e34af2cdb42502083c6f9b4c3f5ba6b"]}, "processed_text": "анализ диапазон выходной данные нейронный сеть глубокий прямой связь"}
{"_id": "58d105a565d27bd23443d257e36543ff7c40d167", "text": "Оценка положения головы на основе анализа симметрии лица", "metadata": {"authors": ["38025081", "2091099", "3036685", "1705776"], "year": 2015, "cited_by": ["b28eb219db9370cf20063288225cc2f3e6e5f984", "55b4a9f11e63e22fc0ef1f4c22aed62c030c7ed2", "a094e52771baabe4ab37ef7853f9a4f534227457", "c2fffbc7c82ebfde82e6dcb36231a3969e91ee1b", "6d55a6db8f4f186a3e9de3397078d0cc7f9ba7ab", "498ec0d90b63fa579b6e4bc8fed0a5d245ca3604", "245d98726674297208e76308c3a11ce3fc43bee2", "39bd17d00c4abcaef8ff10f69314d9f05a00b305"], "references": ["4fdd8a04a36ac55ec444c5a3cb5837a2cb482621", "a141e7ebf5c2547f94fa06cca258c05681adb9b6", "d4b633955af683faf89304f57c37eb4458871840", "c9187391a25ff044906f21dab1b7f12fe9880fae", "7ffa7a36e5414a0f2b16b1d8f93442ab15e2235d", "9d33a491c9e46f2906b2e4bedc0a168b69189a87", "203ef135d1756da8b39c9577e9dec366dc18be29", "50832083df91f83333364544b24f8af4798eca32", "65e9e64d5872c97d8e58c42be778491534108ef9", "043e7a08398b1d634fa2bf3ddb81942686effb30"]}, "processed_text": "оценка положение голова основа анализ симметрия лицо"}
{"_id": "03bd09f62445ee68095f20000342c1c76b57d7c9", "text": "SAM с квадратным корнем: Одновременная локализация и отображение с помощью сглаживания информации о квадратном корне", "metadata": {"authors": ["2038264", "47640216"], "year": 2006, "cited_by": ["368132f8dfcbd6e857dfc1b7dce2ab91bd9648ad", "d0be97a8254aa7f40c3a8ddb0919a49a146b6028", "b7473621607b015cae83b7828b30c9135094a39e", "3c0be4454cf387accd5a50e2c09540ddd009f739", "28d0f0e30de0334e3fe0219ded6980bdba32e81e", "3a687395f5008e551039fad80451c7380e0edab3", "be70e6817aafd6abe4b014c54e312b1158c9f6f0", "3e324f3848df1dacaa54da13237fe97f36c414d4", "2df72a9c6a4397dff21f2c6eca4b2be8fbc508e5", "dc7ed6d7c187b1105a14f2e0b1c60d0317ad62e4", "a9474b51b2e76ed0b2e550d85e018dbe085ec1ca", "5d8261f50fa81a0bb697eb5fb85843124d5751bf", "22a2b52dac336c4d61356fd2e54b3e8a2575207a", "453a5f143e759f28b97ca33e410a77ccffc6f247", "8c0514cbf116afc4363152514b3ccedb05195a59", "5e59cfd9287365b1f902beaf62ffee232590deb5", 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{"_id": "d212691257354c201a32729b997ede447e498640", "text": "Новый многоуровневый повышающий преобразователь постоянного тока в постоянный", "metadata": {"authors": ["33575173", "48443476", "40538831"], "year": 2008, "cited_by": ["e248f2a9b6f47cb002293c775f4d42da26fdc8f6", "d4f69a9d1f0f9a794bc579c500ea2e1c694e4417", "9180ad59dba3b38c7c1683a6149f50c57d7cc34e", "1ff7f3359f9fdfa818e63097370212f6650c7315", "7788099907fcc175204fae20769c874b3c4fe1ec", "e0f91af505f28c9426e294b0e84f6df55687c705", "21f4acedbf2c8fc56beaa36fc6160d14311d4965", "b8d2a86891077dddd293d223feb76fb0cb494aff", "48f9cc82abe19ba21510e049eae720d778620fe7", "d437abe02c4f6ba2f7302b44f943738472506f7d", "ae9721c19bbbc1bd9672cccebb2b9ba854be0db3", "8cd0777bcf0cd070f09e46949b22e6b4382e1720", "2c9315d4f4587f2fb0c1a8714b190bdbb3a0dedd", "381bcdf3b760e9a8fb84a60e2f9fe7c85a3323fa", "0e7a587aba4d06c71731882392ec745f80f11680", "93a9974973696d06003a969f68259ad6be475c6c", "30194850bf8dfcda06f008f8f8aadb4e26ec2208", 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{"_id": "d24ef1f8c2c9bfbd2bd552b1ba516e4147cf6423", "text": "Расширенные возможности отслеживания: Измерение степени защиты конфиденциальности, обеспечиваемой расширениями браузера", "metadata": {"authors": ["2448867", "1679711"], "year": 2017, "cited_by": ["f52cb117c04980f8da480e90d2cda5cd3b2f7bf9", "0bc01413666a1dbf5c7777047ed56a937dd4fc55", "06af5b66f5e21d29656e56329596f913cc3893a4", "d8aa74c325787147d3b3623dff7784c639591969", "c4f120d51db7944520919ffd673a7a269ddf2c25", "00af60ee8750f8547229759f3529addf93ce468e", "9d9f4d3690a54252b8ddc805ffde0a93e2a8dd99", "dadbcf69ae6285a3a1a751647083c11def7bb439", "1d1589caaa6b3e3df55fd8e7d19bd1e576fcae4c", "b8d904d87055f9f1731e99c0818f0caa4c12aabe", "15c76d5aade357cbe4c3c76adb00d478f50d7a65", "e2df6bd656de4256ec4174f90d32a29cdd093793", "07f1f53be166f27011467a99248272ec03dda251", "a07b042a149d153a1d47e86e0e33d7a124bc8e75", "d8b8a92632d22d72d56eb65d6be218b0c30df22b", "a4d12901a86407f0830962b1ccca98e48ad0a82c", "34c54da583b7949393aebf186e89e08d4f76112e"], "references": ["05ad6c3ab7a0b1ab0c4fc3af9f1622cf6c0fa40e", "0808b114c9377cc53b6a7ffe1e3690e97769c2e7", "5104ae01c270ed66e5d25b7063b44c00f70406a9", "2494382813fa0b7aa405c4cc0f1ef5be90ca2d79", "9a3c791067911d17a79918b1b0b5826beaeb2fe1", "254f86dc50c6a2e2bce7241416372c290883e7ec", "bba5b4d1ec0e9f254d82b7a755596e825a975ca0", "0d2f693901fba451ede4d388724b0e3f57029cd3", "01dbc5466cce6abd567cc5b34a481f5c438fb15a", "5576c4f44ffe4498bfba05ed3b5efadc36f9852b"]}, "processed_text": "расширить возможность отслеживание измерение степень защита конфиденциальность обеспечивать расширение браузер"}
{"_id": "0ee5364a1672ec0b8dbb3e1f84a5eca1d7851a6d", "text": "Моделирование прямого и косвенного влияния в разнородных социальных сетях", "metadata": {"authors": ["3703347", "2756200", "16798583"], "year": 2013, "cited_by": ["2e25b7159318216989315be834a49e21a46855b2", "466611302f55944615bda370183614f8181446b6", "3e3322dcc02c23c5279418ecc7d94ac1a1cdd5ad", "00d640ee3ac3e063a2896cbb6c77c0cb5c9fce72", "300061cdaae58d979d1c1c17808b3a2f8009215c", "b856878739e7466c0926a0c1cead36a875b2dc8b", "43656f76d7dce97120df1a87a027fdcf7dc3f843", "7e6b91b5e964df96053e4af321e03cf3ced22948"], "references": ["7b685073638d1d10de8409d5b43381f8363b0e24", "66368ba9b91889872d53639d3d77d7cf9825d734", "3145fc2e5cbdf877ef07f7408dcaee5e44ba6d4f", "a28b0b76e7ea2eac54ea27cd0d733b23310c2c4d", "4b3c1713bea4250fbecd07fcf2c5b4b6b734b885", "058ada9d78c689e03ea898008e2bcebf69910d4f", "0e1ebbf27b303b8ccf62176e6e9370261963e2c0", "620f448570ef5902f48b1e39b15173afa1f0de0d", "682c434becc69b9dc70a4c18305f9d733d03f581", "40977b5865bebd7c3568475444c14ed86ead9f62"]}, "processed_text": "моделирование прямой косвенный влияние разнородный социальный сеть"}
{"_id": "038ee3d9e0a739752f4a270548ab8c97ed024633", "text": "Быстрое обнаружение транспортных средств с помощью боковой сверточной нейронной сети", "metadata": {"authors": ["51292466", "1703078"], "year": 2018, "cited_by": [], "references": ["002c3339df17101b1b8f56d534ba4de2437f7a22", "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "20a78d3145279dcd799cd7a856ae2714f4863a16", "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "c3bd3b9782dc504ee4f2b8a12bd9c562a5c0d7ad", "50137d663802224e683951c48970496b38b02141", "10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5", "3dd2f70f48588e9bb89f1e5eec7f0d8750dd920a", "79cfb51a51fc093f66aac8e858afe2e14d4a1f20", "0addfc35fc8f4419f9e1adeccd19c07f26d35cac"]}, "processed_text": "быстрый обнаружение транспортный средство помощь боков сверточный нейронный сеть"}
{"_id": "8cc8ad35f409ca0c008d4ba0c666dc295348d7c1", "text": "Исследовательская платформа с открытым исходным кодом для создания встроенных сетей с видимым светом", "metadata": {"authors": ["40543977", "2485577", "1751503"], "year": 2015, "cited_by": ["9256fa6c87827b2a2d71072aaee13cbc66c93c4a", "32811fcb431189983fa794614a83c3b31dd76b62", "6aeaee9a022f879a7497eae49c5289e69eba595d", "a721cd7536b64c0b980c61abd39e3e7a3ac4a72e", "314f7bd4fc53e91739edc5f789118802e7d3c142", "b058694b4276d2105dc5b1395f0a519d99af3d51", "d335e5a893ec7ef6272b6146cc4b8e10b1afd4a6", "02934c97540f391bff9ecd049a826271ae6386f7", "a4d9b70afb31c89c70f0f5a2fea9546479fa32ba", "566230326a57ae513604914a6f7caf9b98dc812f", "2e74a33bddcf4498ce525b85e270f68dd528e2d3", "a606d52808a7bed93bb0935f6cf2c6b25b6210f1", "dff4c165a8569e4990dd6d7842bbfccc35d60ae9", "aa5dffa49b017197c53451d4c8eecddb69ce3ea3", "bb1cb690f555a81861304ea08f3107fedbb7f660", "05b3ce7eb8b7a0786c5e5ad4da8ca8a7be47ffa6", "9d2301b60fa91b90b89db9a8587ba23ef23be81f", "9376145a71752868417a2ddd8c1d7067cb69768e", "f7ff3db7cb9b12b61e1aebb8f5c2aef74eb81455", "996a02b5a2898993f2998dcf3919f5c8983bf18a", "c384be6f1dfb78815e81ab659d28e6c56788e23c", "4c43188975d01b42f881bc12ec247dafe116f29f", "61f46662eef17ab77b6dc62ae41867612543d1f9", "920e0867adfd5bbcf0b8b66e1c9d19fa196d77f5", "3ab08194616be8f0335c1e761ca17741b526571b", "55cd59d4e43ca966d46546647b523741b4238009", "c5324d9d6ed4ba9245741b34a3964e44c5ab02d2"], "references": ["442c6e57624befeeafb39e7a30901c17b26a1e63", "3bd5c46eba124e95a98c1306adc2ba0ffb68aa91", "40e7efbddf53e03c526ce53e3c2e8f878fff137f", "3608e8d69bfa03397c752ff85d7425bedfa61e4d", "90b74d2122b6d815da75d4c79fa1ce6f007965bf", "18c55aad1423142ced6fb3725a5595e7a4758bae", "2b2b7ca0e169b009d62881c9f2cbd65a0ad29518", "f5d2667853cda9a540260158c7fc32d21409c0e8", "580db6167329d025d4877a322af4bd377125eb35", "1428132534f4073940f1b7e0a1c9438460de8367"]}, "processed_text": "исследовательский платформа открытый исходный код создание встроить сеть видимый свет"}
{"_id": "25dbf9b12475454585d5050c5cf446e1c4f6dd27", "text": "Онлайн-слежение за несколькими людьми с помощью одной некалиброванной камеры", "metadata": {"authors": ["1869177", "3063563", "1789756", "2653762", "1681236"], "year": 2011, "cited_by": ["5b3d48f2b4702ee717e1fb0bc5cc1d6a54f0a358", "d0f709ab39e280467d854064132570c1d5316de5", "36b9faf0d6c4c6296193b8d5d7833624a181624c", "500eeaffef9b28d9253d5ac3fd0bb3a9317e482a", "3333034db7e522cd120b328d8a6caf23f912078c", "31f4df05cc4635a76a8bbe2bd5b06bc4e8f5cb13", "f938a5e5bc9a309b00da6b372a175e9a27aa16b1", "46a93d3bb2a2abea38e432a9a125d225d729f0e4", "2294eab0a42e3ea0c2980d8f2950de08c9cae1e1", "40a8a35fb51c866c79217b57b6a73d8008c10a66", "27b2f28fca10afaa046ae3821685d05a267287cf", "d7f7eb0fbe3339d13f5a6a23df0fd27fdb357d48", "b7a0488d18a3f282d862c435b0c1f742d38d0c86", "f4f9943cb119970d36b464001d9e9b84f847ae01", "5be6226f1fa0c3a6f5be829b00f484582d531b6f", "c386cfff00a358d18760defca16efc47fa08a6bb", "62d719b40d3c8db3d33f06a5fdc34858c4d498fe", 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{"_id": "030ff7012b92b805a60976f8dbd6a08c1cecebe6", "text": "DCAN: Двухканальные сети выравнивания для адаптации сцены без присмотра", "metadata": {"authors": ["3099139", "2257769", "1760870", "2149919", "1962083", "38760573", "1693428"], "year": 2018, "cited_by": ["0fbe70e397a4535fb48cdbeebc82d628dffda86e", "d737169d73f36e250c971860375cfaad5322ff35", "eedbdc4347262c2f47bf324be606440dc7116a2a", "703ed1692aa5de38d7de5a2f3952c82b566bb1c0", "fb9b2211f23ff608e786ab3ce17c7474d7a773dc", "5168f0ee8213a7ee0cf5a71f20a15584419606b5"], "references": ["000f90380d768a85e2316225854fc377c079b5c4", "3842ee1e0fdfeff936b5c49973ff21adfaaf3929", "02d17701dd346311197c3f1553ae9e0d6376fd43", "99728ce814404867efc0d2a2101938b982d4d639", "38f35dd624cd1cf827416e31ac5e0e0454028eca", "b0e0ccb48dd027253140e0992e8bddf605672974", "7340f090f8a0df5b109682e9f6d57e4b8ca1a2f7", "40a63746a710baf4a694fd5a4dd8b5a3d9fc2846", "372bc106c61e7eb004835e85bbfee997409f176a", "223319a93dcf3912bbc1e5f949e5ab4d53906e62"]}, "processed_text": "dcan двухканальный сеть выравнивание адаптация сцена присмотр"}
{"_id": "a3240d1ce2fcaf412f4b5d1562ddfa687061036b", "text": "Сегментация крыши на основе теней на изображениях видимых полос", "metadata": {"authors": ["2887568", "1707460", "2925401", "1798011"], "year": 2015, "cited_by": ["6ace990244b4c862b0ccedc030131e90ecb21d17", "5a8432b4ccd183f817d8e505701aba69dc94ab52", "d8097b6f11e1b99c6ab0fcde2fa759fae00cd681", "3bf605331c6da91eddb9a857ffa24064e683ee30", "bc4539c11db4c198342cc43e21973d62bc2143db", "8ce72ed5ca2ee8b7603562f0855bb37cb15a057d"], "references": ["9a3550fa10fc01fd189ce3e4b7d03653d20aa177", "32449f73e6658fc6589b171d09e3e4792799dd76", "118a2a7f753581058412f5fb9a3bb9f41759ae37", "e96ad65aa1dcc89924835f7a57f4354a283b4ed1", "5562df4a87a0d44014e0968395553fa6d5e7a186", "7d1e9bd95b07a0faec777e715f46ce95906d63d7", "d86209739efc0b225a65320de784c2d01b4a9dde", "7a953aaf29ef67ee094943d4be50d753b3744573", "49a970d478146a43a9b0224ea5d881511c23c110", "304233bf40988346b450cc133c63254633a0d1a4"]}, "processed_text": "сегментация крыша основа тень изображение видимый полоса"}
{"_id": "bb93fdae023ee2978e82f47c1c069b973046ef1e", "text": "Контролируемое дистанционное обучение по метрике за счет максимизации дивергенции Джеффри", "metadata": {"authors": ["33339803", "2481329", "1737629"], "year": 2017, "cited_by": ["553639659db58e5a258c26b391295e25253f57e1", "a95169ba0221783a221a0d0baa88a84e42d3c2e2", "20c69898d34f49c1a9080e9001d90e4178f57a9c", "10952c8fed04a5847192decdecfeee03c9ea997f", "a751e18d02b25173b07ac76daaa712f3d3e48517", "aabe9a4aaf9037e8f864a93995f31d1d92716d57", "2cee295773a7c4a340140daf7829e079cf6e712f", "a5f9cfa29a3c5a54d7c5d80e7fcb1f07e7e4066d", "f7c6619920cf392f7087f28f0469de77c70dda06", "6ce9529e16c0641d83d620e92f352cdf0f40da13", "84dc1a1081caa4fb157fd60bb490338a0a8bdbd9", "7921917b82fc093befab5d94e2ba633d5076293d", "46da3f3d592ea58211ce6bf8bec05ef0b5e792c2"], "references": ["9dcd20a5bd8eb869f2e75bc683e083d696b418b2", "27d9d71afb06ea5d4295fbdcc7cd67e491d50cc4", "c2f2aa481777115bdb6f6e5f1209c4d65eed1ec1", "74feeb26daa4d1fe4b7ac85b17efda55d277b41b", "1aa550aed1cef209f4bd0ed1123e2b507b3810e5", "9241ea3d8cb85633d314ecb74b31567b8e73f6af", "464ef1b3dcbe84099c904b6f9e9281c5f6fd75eb", "477ff004964e1f2d61e77edc56dde8a4b9b3e31c", "fbd6ab0900f3b47609f7042b0f290cfa7362c314", "65a7aeff98fce04157f76a5fe6ad5ec10fc88e7c"]}, "processed_text": "контролировать дистанционный обучение метрика счёт максимизация дивергенция джеффри"}
{"_id": "50d388989d9b25754ef9dc5663e85eaf64a17d24", "text": "Влияние выражений страха и гнева на лице на поведение, связанное с приближением и избеганием.", "metadata": {"authors": ["22358598", "2781492", "4170904"], "year": 2005, "cited_by": ["7c3fdccf060c0ffd322726b957cd1bd10f310ebc", "32381141cbfc671ae4d3e13e2ed4505e9fed3647", "284bf12324805f23b920bec0174be003c248cc9b", "caf24d8d12e01f96d1ca48f8119d13d889e8cdd2", "cb29f4287af15c61d3116867fb44ae9dd20adf80", "15b3b68047748ce96d8f1398212482f6dca380ce", "b689d344502419f656d482bd186a5ee6b0140891", "8b9c1af98c96fe9f715ba15cb7205054826cd113", "c9058f21b43a1a6c8c84fe84230b3aa1d7f15d1c", "feef8a0a55fff281b651ab87b29d53605595aaca", "21e4b57f22ac5db99bc3a77524b82cd61c0a526b", "d2dda0046d83d8aefd782479e637f85b0f269c1a", "9677a88d50e76c4763e9475cd986ecca4d946dd5", "263d161c14eb04eda85cbc1f3d493c7082d7f7f1", "ee6da552b2b74f5b09ebac8f3e85954a5b93be31", "218bb43dc64f7b4ae98a38986f9d7afaeee60f89", "ce58e0128cdd19bc37a098b33582a0b98d0e13b2", 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{"_id": "a03ae676aa270645a5b30dc6514409a3fc4fdecc", "text": "IntelliArm: Экзоскелет для диагностики и лечения пациентов с неврологическими нарушениями", "metadata": {"authors": ["11900546", "4926322", "2445280"], "year": 2008, "cited_by": ["be2e43ee47536e845ae585d9cdec472a491039d5", "9bb2a859e5f682cdb3080b1694b15d9aca1c76ea", "81299387fbeb3ad14017f938742822ba5f8c2438", "f22e529c5b7161fe3aa5f787517952a7c1fbfc26", "c37585f27a3d5ea7acf20152f3bc298065c8d0dd", "c76f2b706396cc34504a09c32cbdeb157e6784ef", "786d76a50d768747e4d737b299bd7169d4b5bdac", "8a1a8ee1f6b235b2865e9dcfcea7c03446c8645c", "f72cf8526425ee7e3fc800825538a2da0ba45922", "6bce1263368b5af051558a1c6c9d27108e797f33", "4b03195e13ec7221fb2c5c9a396154f20f9ef6d4", "11e6c76210e7464305aaae9910efceda0be4077b", "04fadc76ed04ab07b03fac3e76b5ada7cfc34afc", "2626fb69c6204d9df2ac9c2aac229ff2ae1c2301", "da200f060bad7bc8a0594ce8602cf61b8c165590", "cd62f0667d64ab005acc6fa63e1eadd8a6fde659", "ad428151cfa3dd7519b552441f595082e4aa0d38", "3e644678c180711f758bfc50fc3d259dad763fec", "d3abecbcbf1fcc0a6bb8bd289d3980fe9bf41f6b", "0e8b5d303b90a7b7efed59dd11697e05e321cf64", "eaa04b74840f5ac629c5a595cf7f94b4327e44f9", "332ff7330c094fec09d5bec886ea8bcaca99c023", "511bbeb740cf880ad76807567bc1fbca41cf248c", "a4a833df7623e58792e9ba0b353a2aea8c7cfda7", "d538051c9405f5c8c8d577f298c5cc50cfed998f", "9d89c43d84a6f6edba1e9f0a78d126296c26dd73", "9e67d529c3fb9b0efc565dee96768f57efeb1fc6", "1787994eaf2243f567af28662308d80eb166ca87", "62545da22b90c5560c0e0c9884c3e0c0c11554e0", "cfb2f83492caf6c931a4e683be389afc388f2a61", "fb7492ca9d3319072ec82817faca0bd92fe7e011", "60febb1c98a38f32a91f319dfc82279c7aa124cb"], "references": ["86e589c2d60ee56276f69bc31d528787af2c54df", "8b68d7f43eceaffb9fc99d0a41abec2bc982a510", "84ed097a35ab8e3c2c404a84ed8e22d40b5b9db4", "e7acfed9180926141f8cb50c953c472278a8db46", "a7e6a1cf4dd57ba2d1172426b156f3f64701a2c0", "0c495e8b2176b48753f0fb2cb19cc997ffa8bd85", "9740f7d8e1305c88f007115f37f30b3a5c504c70", "ab25c26474f3db3f400aafc4a7a303b9249a94a3", "609fe948c6c6d2cf4f66b2b81835517d87cdc703", "7de670176a92dde6dde0541beaafab88b577a9d9"]}, "processed_text": "intelliarm экзоскелет диагностика лечение пациент неврологический нарушение"}
{"_id": "435a709ae1d1b0bbdcacbd3965a05d56c14e752c", "text": "Улучшение управления роботом с помощью восприятия кончиков пальцев", "metadata": {"authors": ["7614118", "1880043", "1746229"], "year": 2012, "cited_by": ["3bf34d003c3f500e254fb643eef303883de783bd", "18bdedc6c6fc02fdf8497e3d5cf9a42f93f4e379", "c907a42d6ee9817a11be93460fdbe6855584e560", "605d2feffffd1852de1be2b91129731b0791e45e", "1ad1f1e6aaf09dc992669d9758d076055bdf28ab", "cd68bdc17b604a3e8b4249460882859b6bade5fb", "b24f0fc25214cfc2e3a4dd2c6b45bc3140b8583d", "b8971c007282d98a19e5fa213e794d30f35aa7bc", "3a1f4bc946158c4f88e72ac593773d4c268f41c8", "884718fcc28fba1f9964d43d2851a28918464833", "83e30282299abff3d1381ceb7f95ae0bc8082cea", "daec9bd0daa6b0e49012fe4f6290995f957a71cb", "6e8fea2966ff645bc9eb313b6567783633ea4501", "fe83a6f354c2aa371e635647d168d1542b329d5b", "35e03bf99ed0b6e72633131507e1527b474db094", "5800d4bbf252893ebcf65d0002ef7f94e33b6461", "6eff7fafa4b46d27c783a9f9fe18462ca436c2c6", "b14e7186cf29d074e364894436706e4cd795366b", "b2a1e70d6a489aebade29cb583a5cf2e08e5f4ad", "54829f6e0d1baf8d39701db50446bef941d79ba9", "6e60536c847ac25dba4c1c071e0355e5537fe061", "f780f49c62e7ccfe724c414bebef4a14f4b541ff", "57c3a9fd21abb771f99c910e820e427789290fce", "5fc26aaf5853272312aa3658fdfe9fe973e40618", "a60f31bda9f83afab4cd29d4d8fd968d0f0597ad", "da4f0d38b006e4162bc0cca80f04cb0c56209495"], "references": ["de4959d5b90aa0036bc6a0a92bf7176b9260630a", "9af29d227e96c747eb8941a6a7bceaa15b7d8e11", "a06fcb8aaa4f0fdbd4230c4ab6efacddee511ad9", "9c475c51b01c9b3b5b4d2979ce267a568255ea75", "75afebd5d3515f6f36de6fce5bf08f5a1e42abd7", "8586ff9a14a68680fd472101dc719dc42d83639b", "2c476bacb4833ee688b218bf1bd5ad0e64f16058", "1a090df137014acab572aa5dc23449b270db64b4", "44ae9b0e5740fc1e7952a0990a68963928b6a2ad", "d321ea5ada3af6d8189063040f99e614884f7e71"]}, "processed_text": "улучшение управление робот помощь восприятие кончик палец"}
{"_id": "5f1f12015d55c51764be27df92de175d2de8ee0d", "text": "Влияние сосредоточенного внимания и медитации с открытым мониторингом на функционирование сети внимания у здоровых добровольцев", "metadata": {"authors": ["5653918", "5472368", "4077628", "4057559", "38050034"], "year": 2013, "cited_by": ["ecfcc3ced245a90c6b6fb42cc3c14e048768f5d6", "2e3155806f5aaa441d7f80f8a9d927be86370d88", "5d67ffb0dc8defca17ee29fc854a512e3f4b992c", "b231981133a2e48ef1045d77c5a2d14775b66ab0", "461af48c0c2a919c12ff12fc4dd531c61ecf24fa", "7ce3f329afb6456a303bba014cde5a71d7dd1f5b", "0abd48d67ba335bcc0ce6082be843f8ce64c14f2", "d5378bcd701a2617654fd4ffc7180fd27b38dbe5", "7ba5d00d4fb1314e608887d35bacaff6155b2007", "64649781704439bffe3cea0d264c3baf94985d77", "843b427ed9f0b878b4c38471ff4962360a1b79bc", "a4d3e0460119854bc770ee2a980cb701f68e11b1", "05b2e5896df4af15d10497a854f79e4727a4b0cd", "6c3952c7682ce6ebde9ab78403cc67b5a2ed769b", "8dbea3641570256e2ecadd8da65d99add915c51d", "11242546df5a78a2763b808273799c9103d2f31f", "d593658e43c573c7539bf7003315741b5a578cea", "a3ad816a9975c24eb1d32fcbf7ab32add906dca5", "30ffab8736985f813c000f6295c45a7e1abbd0b4", "c49374ade00e1705998927acfe1f88cb3e512633", "adbbc9700b4cad81e4b031e8197dc04e56ae1041", "d0f63ab1009bc07d8bedad167cb7d331e80d0652"], "references": ["d4a9400d6f8c15223ab31aa8aaf9697f5a9b30da", "c73fc9dfafcdecc7da2e00240efd31a07227e159", "6fae1e0764c6458a4d9122427c54503599414ffb", "4e38485cb0fdfcac278835bea64ba7d95a25dd2a", "785344e8ec52dc146d295e7ab20e85c41fb21b1d", "a1b421fb87a8fac958045e60a0ef56fa5de001db", "516a7dd7e42d39f9b5b07db75c3db5c20fe00c46", "cf7c5f390370fcdce945b0f48445594dae37e056", "50bb901b8dca0be5d27ce503dfed8d5ecb648dbc", "82b96ae4177f1deea71661a7fd19ac36e9130e30"]}, "processed_text": "влияние сосредоточить внимание медитация открытый мониторинг функционирование сеть внимание здоровый доброволец"}
{"_id": "a8a4cf29c7483f5eed5aa808df2225661506e1b4", "text": "Гибридный музыкальный рекомендатель, использующий контент-ориентированную и социальную информацию", "metadata": {"authors": ["3403535", "1809482"], "year": 2016, "cited_by": ["7a74ac9b89963baa30d945834bbe0409650f7987", "74cf1cc8a0feddb042dcbb2a129c6bbbf7555721", "99ab6623eb8b7182adb716668d101b1cfed62435", "59da29be5a6c93922a0c9599f5b287805d6346d1", "461c50a3efc72d22281445ee6262a47c4cf705e0", "b1dde52fd149eceeabcb60222f2555b613ca743c", "f9810e63d8f9b40c8b65b17bc19a497d63b124c1"], "references": ["091aded505b84cf87c197875ccfde24d98a300c9", "38351d2e2f09190cadb643fa8d3c3ae3963ec682", "00bef27a4200eaabbe0a12bdf26d1d9299d57748", "855d0f722d75cc56a66a00ede18ace96bafee6bd", "714544b7cf35a3b8bdc12fb1967624a38f257a42", "791dca0be1de6788c4cc13ef471bdf2e10256824", "b2c49cfc7db9409ee9b6b5d979bf84fbb0b9f2d5", "7d20fe87fb0e483a633bdc22ff9f91a8dea4ed8b", "18262e3ab401d5e2f05cce3e4ce553ddf4adebde", "40f68c65efc5282abff77d6f7fced06ec06b84e2"]}, "processed_text": "гибридный музыкальный рекомендатель использовать контент ориентировать социальный информация"}
{"_id": "81efd70fcc216b6528d48efa758671d9862b21c3", "text": "Распознавание светофоров для сложных сцен с помощью детектирования слияния", "metadata": {"authors": ["38867607", "46389698", "36471187", "46447711"], "year": 2018, "cited_by": ["884b2a366528d5c8546c7c30b641979a4dcb39b7", "8d1c70f526f655080cec6d8ab475fa1360bf5acd", "425afe0235d32588f8c6582e12e3496fc96b3790", "e92d30b8cccb33983dee6d269c6b48b5e58debd9", "64b9c072e551c332ff4c3a4ab067ecd382549643", "6a0946c8b33592bdf50ff269fe6d15ea90ff0bf4", "9fd864442f18a8b739efa0534998b2afdd6f08e8", "5dbb08ce3249e24effb99705cbaccf5eccffeeee"], "references": ["3dd2f70f48588e9bb89f1e5eec7f0d8750dd920a", "c8621c6634407aaae2a0cb3fc2d073a583dbeef5", "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "66a08ff2ea7447093624632e7069e3da16961d30", "135ac65825f8bb23e1acdb45707ae9f57dc4953c", "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "e3f847d6b1441de15f439e89934ef549d9d7698b", "befd4354c742145b48e2b4b8027709de101df9aa", "248362e23fbb3303efa5004117f28e92180f2211", "f4a1db932575f022ea9e61fd5829bb586c93421c"]}, "processed_text": "распознавание светофор сложный сцена помощь детектирование слияние"}
{"_id": "18398d9c9224d5c0dadf22dbf1c21c11de8705b7", "text": "Классифицируйте предложения с разных точек зрения с помощью сети экспертного внимания по категориям", "metadata": {"authors": ["3391923", "8618756", "1816667", "2769144"], "year": 2018, "cited_by": [], "references": ["03ff3f8f4d5a700fbe8f3a3e63a39523c29bb60f", "486e218d0f373afb74783c64533ba301085caff4", "1f6ba0782862ec12a5ec6d7fb608523d55b0c6ba", "5d3cb16c6da08960ecf0d11cce34389c51b61808", "0d0b3ff23fbf1ec7a0dfebd923a3ef224306491a", "0a7fb47217e6d0e3b80159bc4f9e02a50ea1f391", "311fcda76dc7b7cf50b17c705a2aaaaab5ed6a04", "4c15b129a8da55127e4e2fe47f54799d0a313367", "0825788b9b5a18e3dfea5b0af123b5e939a4f564", "39dba6f22d72853561a4ed684be265e179a39e4f"]}, "processed_text": "классифицировать предложение разный точка зрение помощь сеть экспертный внимание категория"}
{"_id": "fd5f1f443d40e6e91dc99798ec88922220e4b364", "text": "Построение межкадровых гистограмм в режиме реального времени для датчиков изображения SPAD", "metadata": {"authors": ["3194101", "30690723", "30873667"], "year": 2018, "cited_by": ["91ac97d55e9e44e2a0fcddc1fbdb36491fefee67"], "references": ["cb5f3e621424eaa2e3ca1625fd1f2fa7783f4cfa", "fb4e3cced4b15a36bf1e4a8858d099d21a1396bd", "07715b8f3d8c9e7def847a4307a036fbc765f144", "17d860c991c8fe643839ae94c639e826fc914ba0", "62e4f3fcc41d88fbc2096cbfe3a6edc7bb3e17b5", "40bbbaf3cb1459fd05fca6771f3a29d3fc9cfa19", "0e431052b86ba408622cbcf9728cf8423c6892fa"]}, "processed_text": "построение межкадровый гистограмма режим реальный время датчик изображение spad"}
{"_id": "823b646805304b213779149e968cdc081909b651", "text": "Минимальная потребляемая мощность 0,21 В, максимальный КПД 73,6%, полностью интегрированный повышающий преобразователь напряжения с MPPT для низковольтных энергетических комбайнов", "metadata": {"authors": ["2949184", "40126891", "40445255", "2169584", "2335506", "2794132"], "year": 2014, "cited_by": ["56b0d20cc88e28fc10886a5dc2e7534baa972033", "884b209660fa619a66610bc9749733067884d24f", "757f5855e3dc3a4627ac3f3d3209769489b81042", "385cbf2b63cbe62b6799c67bb92ce2c8611b9927", "e70ae08f65cdd2ddbcaa0748e8dc98a8a248ddb4", "2e9c05108c6cf2072cd9f52145a3c49003a18347"], "references": ["419fb5d93f4a5b4ffd17939c8e1c6d50bdd3fb5d", "1f826cac3bf7b6ba120bbbbc529f48e53c969b62", "9a508e40ad8f611ace4b2b5eb9b6868558037e78", "82a7eaddeed4ddf49a423f8d3b3079d9e39b9579", "02c81e589ac76bc608bf72f655a14d809e8c98b6", "9b8fd66e4a2d2520ab45dac5ced0ccfea85a52d1", "4e604a4e6be9df7d851dbdcfdf8d2c6dc4bf9363", "b90cec9c28f62b9ccd50d9f8a21a0166285060fb", "291f9d86ed5ab82af1d624b817a7339550520955", "2a8fe47f70a91d4b5eb0c9657a27f85c5cbc9b1a"]}, "processed_text": "минимальный потреблять мощность 0 21 максимальный кпд 73 6 полностью интегрировать повышать преобразователь напряжение mppt низковольтный энергетический комбайн"}
{"_id": "bfd50521466808d022940fbcfe09e1835ae97822", "text": "НАВЫК: Система для определения и нормализации навыков", "metadata": {"authors": ["40527793", "2228581", "40606126", "2551613"], "year": 2015, "cited_by": ["438c201b810277a96fd7391fca156f13ea30f05e", "32a8295b35aa9a61a47d6276cce95cb8b3245e0b", "0057d63f03bf2def1e49a6355ad9d85fa3b8b31b", "60e2cb8aff24cff5222ca0346e41dc0bd1f18769", "b37a059b64bc4033d0584e705c19ca775100f8ee", "24af93d93741003a50971ddb319df0c4534bcdc6", "e11d935a6d882a99e6da47a83bac49c3e4708fe7", "96cb2f1ac6f6010313f2e72552e1aedd91e89817", "ecded74109e01c8b6e26b91fd3045a68dbcf9933", "bc95f9dbc8c062bd5e80468d8a6e42c74636b50e", "2371850b0a1a3b05e79960fc387c4ee888162599", "aae06aa56b205402bd455ffc3cc59bb537e2213e", "28b4d809617e5b49acbb2b4806755bfa6d0acddc", "00bed28af6ba75efd3519e2d0274b1db73a0dfeb", "6260e136d65fe0c5005d98d1b20218841a194a70", "4be07c171995af293b2fb63cb43cb917bccb2b1e"], "references": ["0a42672329bb18e7c54bb151af39f9c90693a768", "3cfbb77e5a0e24772cfdb2eb3d4f35dead54b118", "2e56f0eeef02406796905f7258ea54ca52861774", "0a10d64beb0931efdc24a28edaa91d539194b2e2", "02fe86259bdb6680a2b7316e1f608809ef551d69", "446489f50fe45bbe7af63ddc9ddab1c1e505be9c", "cd068edecbc841aca763c059fea17d4d5eaf91ff", "19ba50d06607564c692b01e1d313380fcfadeaab", "6613a565781c794875600d916583301beb350535", "1c909ac1c331c0c246a88da047cbdcca9ec9b7e7"]}, "processed_text": "навык система определение нормализация навык"}
{"_id": "0e894b5dc37f7bf983eca17e869615d16398d47d", "text": "Новый быстрый и эффективный алгоритм, основанный на принятии решений, для устранения импульсных помех высокой плотности", "metadata": {"authors": ["48153630", "1954230"], "year": 2007, "cited_by": ["3fa8ab6e43a69144ed7bf1caeef0441f7613637c", "4bc0bf7c58cce45e1a0b4583f81cf065b727b8aa", "c7f5262a447297b1f6aad17756ce4ef2e939be53", "66cd982b839d88fab317aa6aeebee5406e8f7951", "5fa82098445e32638972a26347ada074a52a2f29", "992bbd75d8cc646feaa8ebc47e04a7ae1664645b", "60a2e3170787f54b7268a26376a13ba37bfd3bd3", "d3691b5d06f86a7467272128d9dd3003a8c3bdad", "6502d7170bdf674392f732e3607056e0cfbccee5", "d437ac4bdb149f177661ace51628a4368f73c88d", "a6d48a133b551fb74d0a39fbb2ddc0833f70852d", "cb12bbe729159f5ccd5d45e0aba746e997c56613", "49afb77483372a9df7b738d4a59173aeaafddb36", "deecffa57b68aa074e71fd311542d93b063bdfff", "c1dbefb5a93d29b7ef665c2e086b01fc3ce2282a", "39a777455473a217b07ffe5c5a5b3fc0a76e29b7", 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{"_id": "d26e891f388cbff3cadf498c4df54b735d31ffb7", "text": "Система принятия решений для автоматизированного вождения на шоссе", "metadata": {"authors": ["2446817", "2376359"], "year": 2018, "cited_by": ["ea2d36b1b83ca45a05978c02f9bf88b3f2257256", "4c90ff2d2b10e0e69a23dd086eb146317d2a2079", "bb17c10b46ce5d1692b9cd54135d6b2ab1e50bec", "1076368958c95a71eaa39d0903d8e05fdab2616f", "511a0b70f040687ad6cdbc5d999863322874b2db", "1495ab0e8f12e308dc465e8562b63e53e20d0da2", "f42db83953142b52085d1e48e29e66a04ed8c661"], "references": ["879ae47f9c0202acc5c2c444ff2c14f657ca54ff", "b348042a91beb4fa0c60fd94f27cf0366d5f9630", "963183f6a46f4af79f3c03dd0ddda88dcc118c83", "c2dc88bd8e4f8de4419a50e36b586891cc918776", "68c0f511121d61ae8089be2f162246f5cac7f40f", "f69c83aab19183795af7612c3f224b5e116f242a", "1c0fb6b1bbfde0f9bab6268f5609cce2bd3bc5bd", "46593b75da3bbc306068355276a66573075f4d3d", "eec4300be0d0a97edbe0eaff0f74deaa576e25ca", "1d0ab226dedb2907ee6f37101a838d2b7e69eefc"]}, "processed_text": "система принятие решение автоматизированный вождение шоссе"}
{"_id": "4fa89f6ffef921580718222c55fa17973a7c366d", "text": "Обнаружение теней с помощью условно-порождающих состязательных сетей", "metadata": {"authors": ["1727449", "34831347", "3126115", "2356016", "1686020"], "year": 2017, "cited_by": [], "references": ["5fb50e750f700f920f06b3982bd16ea920d11f68", "879de3fd53210ff74a96db3a53b695fec6a015ac", "cbadbe4ea75962fcdea0f0e71015eea3e12a4fb8", "546b3592f59b3445ef12fba506b729c832198c33", "a8e8f3c8d4418c8d62e306538c9c1292635e9d27", "57bbbfea63019a57ef658a27622c357978400a50", "0c7f52c753a65ceaf3755e20b906ffd0c05c994a", "c0e4b6a993a35ded0d17a5e751bd135b795244ae", "fcabf1c0f4a26431d4df95ddeec2b1dff9b3e928", "3e80edfbc578652b7a62a44dda4b611170d741c9"]}, "processed_text": "обнаружение тень помощь условно порождать состязательный сеть"}
{"_id": "9583ce13282029bda54a7907cb5547046cf7d2a8", "text": "7 Ключевых задач визуализации при защите кибернетических сетей", "metadata": {"authors": ["33556440", "3200296", "37879042"], "year": 2014, "cited_by": ["af62ff4c3d4c243a48027f07bfdebcd17b2c89c2", "cd01f81f56dcb6fed8859f12749e4ae02f1cd38b", "f57e5ba0d4da5b0aed0d0816df4af5ee171746ae", "75e81ffd768aabe2bac5ab193127a36559628e55", "ac5e07f27f863530959a9519e0aaa5e31021ad85", "7fe0a0ee75627cc6516a01079972fe7dec0d2498", "b1bc6c23c2156e9215cb18fdc39d1188c2a15317", "70829dbe4434102284e57ea6b17767266968ac95", "2ab3dcbe0a262f2fc7437deda61f47b9a36dc06c", "fafbe036bd10d17def6148437aa4fd92bbeebd22", "16d228220eda4ae28e78e3d27a591d2bbe2bbeb1", "4746e9e5eb36de78f71fd352fa4039ddb1d36dea", "0321ce25061a4089d78cb7344ea03aebec0e88b7", "15cb7d33b3ad954e1e43da018d1f516b09c32795", "bfc31d23f18e5c8635923c8e4050b72d2bdcc5d4", "c301012283549f7866654a81c36c1d9cf1280eb5", "1012f9bfe85bc5a75c8d6f86eaa54d4b65722079"], "references": ["3834b27a7c684afabf4464a15cb5d3a0c4d4918d", "29057c8944aafa53eaf13094b157ad0707d7c06c", "4b4afd45404d2fd994c5bd0fb79181e702594b61", "0bd296e1b8e3cd1c97b96797d3bb723060567cce", "010024f2837e911fd8e84c3f6df494351122ce6d", "287ae530330f23daf30e4179e81da5acdd41455a", "683205934fa7e1dd3823434c9eb63c7c0740651d", "2427489b89f0cae37d117df4f5ae63f99061e791", "5467ebd7aa55282042e4d0c4291367d5b9ae80c7", "2b0bfff8bd0e4b5a57c8a82d143b7c0dcae8a046"]}, "processed_text": "7 ключевой задача визуализация защита кибернетический сеть"}
{"_id": "d7c0189c35a3ee56b13b0488f925df1152a8cfd4", "text": "Систематика методов моделирования с использованием интерфейсов на основе Sketch", "metadata": {"authors": ["4725822", "1699541", "1777294", "1776503"], "year": 2008, "cited_by": ["c6f6a6c2f4a81d8537274e8d45ab4952f9f4ca40", "03111d14ae4b7f9a7018afc26622b9237f972117", "02f518af0ff57283bf1871ce2236da43f1b3a4b0", "701bba7196f50c8e3609e0de5faa20817345432d", "734ce11b514760e064a2ac3008ddea252c735809", "10760d7db3dbb5b114d4468f218c2baf469f8917", "92c4caee5a743214d76b92a5e10f3d8926145272", "69a79b691de0c92494c7c30cc39b2f806e626de0", "64c22db85b2ae565cce773db748642e697a4cf1c", "72a2fe7d5c03ddc681fd92da043b946081a0063a", "4b40984d9d1e61cdd4c7cd240b6cd508fe3376b6", "93b40594b9e5b75cefe4a90a0434b690c7b7cb98", "43900fe6c97807affb96857945eef51ceec92103", "883ea99c5e5771bcf48f50e176a21121204e28fe", "f4a22864df5e8fd0ec20289eef91aedf6631dcad", "cc8252afcddd01650c73f158dea72b5aed80cbb7", "f08b04c61e0bc3ff4a001f7e032322bc46f160d8"], "references": ["9068b7f0e7f181ec22ddba97560369da0b6f4e86", "d75a4d66e3c24d1f6efa6543a6bb208aae5ca21e", "0c76bde36fe4729f85df94e9ae20f5b8f1b3ae34", "12c5b9dbe0e9e9bb790b809954861f8ceaaad65a", "1505fe708683eabaa70dde78befaf016e5756738", "3c03ede134d38bcd7b4c711af38845cd30972e86", "457132cba71d4737dd843f83acdfc65bd1209fe0", "9ebe10a403b45fedfdb39c9fac7188e36c9ed19b", "17f16c7bc2327b0dd1d7c1a66de5e378419f5ef8", "23ef80a68a8958938c79315e4eb5dd3544ba43f7"]}, "processed_text": "систематик метод моделирование использование интерфейс основа sketch"}
{"_id": "46fe01be6684b2c6d04298f0e40589eff560af2b", "text": "Улучшает ли медитация осознанности внимание? Рандомизированное контролируемое исследование", "metadata": {"authors": ["3807765"], "year": 2010, "cited_by": ["d12eaa1053a3ff7b54ffccfa475a8bfb41269289", "ee5c2dbafaa95cad1ed64fe4aa60a637b2e4abde", "f9579102152b3b98d6f31278204865c45481d203", "dc4ce0fcdd48aad0c2998af8c0d7b62b3e8e95de", "c58f22378d2974078b3bd4a0dafcd36ed1f03354", "640355a745e9c1349635867d8c718af3cb408e37", "0dcab6f8815ec3fde593832098360799ea3c2654", "440869cf8ae478a7847bf7ff6a69eaeaaec9a4da", "8fa5919dec150be56260dba115363adb59123b21", "f6e7127d29eaf5eb242e5afa829738b7b54601c3", "afde23ec86ed0daa75b678782f0a7e3af71c8641", "46ba6bf026326c2c2306208147b81adf1f7675e1", "63923ee2826c49a54a26b338f92be7abde629e2b", "0e4674fc6a11301072f6e8cda1b118046bdc4d6f", "426e6d95f30be376307907ddc1635b6aea590cce", "44254c45f93765659997be6416d84c29e8ce3973", "828fa766a0b125cd0e55e1d84405c2f18efec006", "01c3ae46e25f27a692564793d60f7c4779222d32", "503576ed1ec485b82274320e6f1dab6d9b2e8c47", "353c06231e171598f71e773e5bdc81809c8ba227", "9c7e53a0ce7c7177175b2b2d9f4e330fbc278536", "e96d23e2c244ca1d78a150fcc7dabbde942b8440", "b728ec62d5799bea30195678b0d8115ac13a152f", "09195642d7cc46d9d73f81a29cd349b00f65f803", "f554d0136f714104fd8e201120016915cd993cfe", "939c7c319f34061fd8adc4a57e1864ff68ac4c9f", "be5aa23f31e0f9ce11469a230447d8588c4e73b8", "4833c50034a4fbd410be48401cac08d81f5bc5c9", "59bfb7e8cba11649549b14507c5db55086815f39", "2698b2426ea72a9c47e6ad344dca1d4df374e512", "a36af3ca5247ab88725c7c6f2f8c0437cd904627", "70b2bbe5c93d4d0986fe13b20c51934414974da3", "b7275e67a49e4e4f4eb626243d3c9a6f002b4b83", "b33c1152ab7a5fd1c59f9a1ec116d3203aaaec1f", "fcb673466e63f3897cd841728e74c27d605064f5", "11d36e31696f6046f7574d0c31cebbca9b6ae4f5", "42c4fcc7cca27a6a2df28751ce2287e254cfb650", "573a69dd8352f0ee7da086c662d1019a45fff14f", "9749dd1c27283b7363e9e1b3ee09cba6bc98bc72"], "references": ["8de327d3ec7b2b3a9ec007cdf532360482bd8017", "bfee6bf7086582ab6641f5d520dab8078eef6bec", "70531a8544b736e90414aafc47f3cd67bc88ecf9", "c3da1095536f2fb5dd69ad86e39c7bd8d665e100", "2fe8b82b3470a89f706a6c5d61d59899ee2a06d6", "aac18e7f55e1c6e179b9346cb4d504dac7211114", "0236a9d8e9d3a648a5a945524f79b75dd5d01edb", "1beeb25756ea352634e0c78ed653496a3474925e", "29f5c118d319a9aae13b670ede7d20816e9695be", "7dd98cd1dac8babb66c58c63c5aab3e4b98d0fe3"]}, "processed_text": "улучшать медитация осознанность внимание рандомизировать контролировать исследование"}
{"_id": "f5e690c7aca37f32f0f04ff3ccfab09e210fd89b", "text": "Морфологические встраивания для распознавания именованных объектов в морфологически богатых языках", "metadata": {"authors": ["31715732", "3365406", "9258252", "1765713"], "year": 2017, "cited_by": ["517ff02bad1fa178ba0aa88c31c0d240d34f078e", "b5fa61681f62e024ee326e7c78b2e52f53564de0"], "references": ["054d3ab0581a5cdddbab6662b3ea509cea4557b6", "283dedcdfa3e065146cb8649a7dd8a9ac6ab581d", "8640ac258a7df03fa9069f7803b0ccb41a8ea61a", "88a87a17072d7670522bff791544ee8740edb705", "a5dd230970c90f311f10b9c59283eb4131f4fc79", "ed46bd31e730ebd9a346995145ad69156bdfaeb9", "1b1eed518d7f0c67874a5e6e018486feb3923732", "477a1ef18cf51686786c9ea223ff26a2dc364f91", "2538e3eb24d26f31482c479d95d2e26c0e79b990", "f70391f9a6aeec75bc52b9fe38588b9d0b4d40c6"]}, "processed_text": "морфологический встраивание распознавание именовать объект морфологически богатый язык"}
{"_id": "9a5fa5e9c10dc40e20610795bad44e7e00391c1f", "text": "Основанная на Fog архитектура Интернета энергии для систем управления транзакционной энергией", "metadata": {"authors": ["31936866", "1719985"], "year": 2018, "cited_by": ["e0dff5f27ae278eccde8b722347c4d5dcabe8769"], "references": ["3321ad7db4d355739953e3edf305642621649d61", "1203374d990b863f6f5d14529ce6f880a4c40e38", "2c1a168c8c9e84d20a567d27d99b546c45bb5af2", "e72e676a9b36b70aebbbc4e34be623b8687f48e8", "3c86c58bf7e7cf9cc3aa108142f3bcc09e329df8", "b4c25e41d12f80afce3e5ccf3f24c3db18d382b8", "79b4598be412896e2f61d75a6f8961dc184fdfd2", "428940fa3f81f8d415c26661de797a77d8af4d43", "9551d21143dcc267268962de5d8d0bae4157a092", "059b77c9fcd0e689e2b1003705637f57b9a07cbc"]}, "processed_text": "основать fog архитектура интернет энергия система управление транзакционный энергия"}
{"_id": "472ebd8bc3808530274a49804b38e321cc5b4065", "text": "МАСКА: Переработка иерархии памяти графического процессора для поддержки параллелизма между несколькими приложениями", "metadata": {"authors": ["1999972", "33769839", "34348348", "33801185", "34726949", "2111543", "1692790", "1734461"], "year": 2018, "cited_by": ["71169c8c906b695858a2b0b28418244786c78dad", "6783ffb98a3bf1c7d6b64e12037cee4cbca3703f", "f0615e017599df9ad92a318d939114cbf1d8d274", "0a9ad37a0d8765a525705fe7ba5f4fdb0522971b", "ecf5efd5fe18860b42a1abd198e94a868dbf944c", "d79366509f04b9188837657d586fbf50b032dd22", "c7d9a2431c377fa59da9476c61e4c3abb95629d3", "e299823243053c0fd0ef569402849c8a306e66f4", "15597fc0677be6615ff7b067cf1da9b0d87fb772", "d6f4acf3b958158bdd68732709ccc0156b39ca55", "0c4fe1f1a8043e8f4175b21faca1b72bff8033e6", "e91ea532a6d0c2d9fb31bd85d99ce19d7533a731", "817284ce78785c7d31c532dfee8c9da59da22ef0", "6ae4e9bf757a5ff6e5fc0de57f041579fb1cb80a", "4ea33217f6d927f22331bc23eee8daef7038e01c"], "references": ["05c56f4abc527fbf384ad011dc9c0a613955641a", "50de0f6a952131dfe562c5b3836e5d934b39b939", "5c3785bc4dc07d7e77deef7e90973bdeeea760a5", "37d12fac02e8b76ddd2c646a6e3784853fc1e1a3", "0d0c47a7e8b63e72b93787a2f8afb1c9905ac4b0", "174b4cb435c87e421c973ce59ccf5b06e09aa8af", "631eb94af1c7d4acb028f4b233ae037ffa487845", "4b82766a16aa951020e43d6f70b5cf097a6b353c", "00f355ce566bb51dc70925217c62e437cc7e14e2", "084037d504c95c1af6fb1398179f8495618b72d7"]}, "processed_text": "маска переработка иерархия память графический процессор поддержка параллелизм несколько приложение"}
{"_id": "600994f3d8caad52145cc65bf1bfcd883b74a813", "text": "Беспроводное линейное предварительное кодирование MIMO", "metadata": {"authors": ["2644784", "2021377"], "year": 2007, "cited_by": ["cf20d965678db2f9a6039f15ad731d692e82e15c", "fb0c3e86eb59ef2c2cad865dc3470b365e2e5e92", "8faefb44ce182d7e1122e58a0321bd54befa7bce", "94a7e621d134874e4a6e2508d3bdfb109016ec10", "fa80ff6247ff706cb5aaec181509fc4954484135", "3f57ae26d707a45aaf546274779b3a299130121a", "3d24879b95f8f652387f44854da8bd3b7fcb53b4", "2329f091ae87de310d1d1b90530be2f8ab4c910e", "76996db4ab69f85d253b8295b12872f7fcd95328", "238a92bf941ebb70ef3cbd755fca68877b5b1952", "7655ef056bfa49ffac74ff0e5813e2d3ab700e7c", "5580d1a2736dcee5df1e62913338bda3541f79a3", "bc97e1ef246fa97435b1454242d3fcdb9b772c18", "bf528e6f28345d6a11e0c8aa3ca1cfad65e3dcec", "991992c62cad7a9b8611fbc690ae6cfb17652298", "3c77a7cfcf159cfff98120ef5ab7a782d1b7350b", "5257cf072691472aa1303416dc527172b0889707", "c44889a0c6299cb17c4279a2eec84794b67f98a1", 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{"_id": "41b61cca52de9db6dcd6f36700cd0420cc7cd024", "text": "Моделирование дорожных сцен на основе онтологий, ситуационная осведомленность в зависимости от правил дорожного движения и принятие решений для автоматизированных транспортных средств", "metadata": {"authors": ["21395903", "48438418", "46874276", "46854883", "22220539", "1696391"], "year": 2017, "cited_by": ["01fc958e75eeaf1f914c628d806a8dbf708c637a"], "references": ["22be3a5dac2c67a71c78e6bc70f7f4649c636826", "6ec79ead49b6f4d2e5cd20cddac55febf90f0ed5", "38ec404e962882d315b728cdd0933fad47285cda", "5120f65919f77859a974fcc1ad08f72b2918b8ec", "67395997a2d92c57d1b5deffd169ab177f8d8324", "81b3e7493ee2fe3aab4480b59d00e1928a3713b4", "0bfa6f913455e2f7882d0517f8498c00f0ab54c9", "d797a3b23dcd57f8d9130fe13561af2f4501bcae", "cf4e9530c1aaab41b1ce414f7535c2510598a980", "12e444bdee7805a895fe982eefdd15ea1e3470cb"]}, "processed_text": "моделирование дорожный сцена основа онтология ситуационный осведомлённость зависимость правило дорожный движение принятие решение автоматизированный транспортный средство"}
{"_id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "text": "SSR-Net: Компактная мягкая поэтапная регрессионная сеть для оценки возраста", "metadata": {"authors": ["8168419", "4262570", "1744044", "1749408", "37761361"], "year": 2018, "cited_by": ["f3ec43a7b22f6e5414fec473acda8ffd843e7baf"], "references": ["28d99dc2d673d62118658f8375b414e5192eac6f", "981fef7155742608b8b6673f4a9566158b76cd67", "1a090df137014acab572aa5dc23449b270db64b4", "e16efd2ae73a325b7571a456618bfa682b51aef8", "061356704ec86334dbbc073985375fe13cd39088", "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "6ab33fa51467595f18a7a22f1d356323876f8262", "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "68c4a1d438ea1c6dfba92e3aee08d48f8e7f7090", "c72a2ea819df9b0e8cd267eebcc6528b8741e03d"]}, "processed_text": "ssr net компактный мягкий поэтапный регрессионный сеть оценка возраст"}
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{"_id": "03725753e46ee9b13cbdfa78c9b62700d4cc2956", "text": "БРЕНД: надежный индикатор внешнего вида и глубины для изображений в формате RGB-D", "metadata": {"authors": ["2310152", "2371771", "4661295", "2409282", "1679142"], "year": 2012, "cited_by": ["816b40ae80907d4e23fd9787f11db28d0180489a", "43249c063ba1d24860077de55d76911e69c556e3", "11356ceb1dd9c6abf7b8f6b1faa6aed897f3a859", "bf777bda6b7268b92a0fcb5f43441ccd173f4da9", "b3674b457c69193b9c723f9779b3732f5cd78c59", "e39224f15cad5e3d2ff4a2b5ec183ac9aa894c40", "f65fc3d5df11cdf4735b391f4c1a18b66cfc046f", "bbd7ec6f1c455e869dfb92a7bd3c18fb0d60bad2", "72f81eb6074f3f89336e32be7592ba58e33e87a5", "d0663ba8578169ee379ed5c3b786ed62346d11be", "e390d6998eaa12ac09bc7f62df35412f518b477a", "509425ba4be5554dc2cc2aaa64826148097ae9ec", "b2cbb859e8a1d8f408812597feea432738289e1f", "2c555588d80210dcb909bcf4431496d624acc518", "212161140932763546a43a83a1ebbf8bedee9d14", "e3c0dcd1f47cc81e4cb52e0c8fc50fc69084b30a", "274b2c15fc68adeb100f1ff6cf31e7c00d4dff21", "9e793e5038988d7bef8fe7350d683419f5b822e2", "b2d59b83ba950229a11cb116334457abd52e4438", "bdfb1c799536e7f42dc89346f58bc751b7f8cc3c", "bcf1b790100f028714c25241934728c9ad64d8c0", "76d2c83d91d01361aa9d8ccbac0753c4114fdd06", "745c9cca0c9a60d599f00e35e62d1d0631a2443a", "350abfd04c156b3faa57cdb374549a7545316707"], "references": ["028c2bc31fb1dc49f3c433da07f4e0991d87616a", "490020c0d4fa1eb85fe353add5713e49f08c628d", "0024559c0758fd680a5ab777348f4a740b8c7323", "47c3c0273c010115cd1d5ee90210937f47658d4e", "18336c93fd1cf624a4e843925a648020e359c0ac", "2c93afdbecd3029500cb47a0bcd73ed3aace01e7", "8af1af95b6dac2481081e3e84c68ee91fe9d5403", "34b5065af120cc339c4788ee0ba0223a2accc3b9", "318cb91c41307135781a0a01bc9e0b6a6e123b0f", "21b4bb72015438e5a726ee6acd700df57998ade9"]}, "processed_text": "бренд надёжный индикатор внешний вид глубина изображение формат rgb d"}
{"_id": "e161535a799a2693d94b0497d7045b0518a10bef", "text": "Предпосылки и последствия организационной приверженности преподавателей пакистанских университетов", "metadata": {"authors": [], "year": 2006, "cited_by": ["db2b0ea4799d533554b2cd9558f3671edd1a373e", "78a867f3a6f23b75a736a576fcef92f5e3528bf4", "d79f033caba514fba78e2e8853cf26c0cb5f166e", "662aaed05c032ce043fde1d10b451698321f2b45", "64b3bf4aea7abf83cf5490e9b9c0e07da2e68222", "b3d3f67d88613baa4c5fd04eab5bad01e5c50f13", "0bf8ea51e6dec26489f94bfdd7f7223e3e012755", "10d1e10ae54b98bd6799a9c257439ffc72fa1d12", "98802615be808b3762a7e4714ef40b5dc8a83cae", "acd39041ee9246bd529c3aeeeff2c86e7bf1773a", "e1e78d8908c83c3cb357d030544f244ebf2285ce", "ef34af21be04821073beb73162eb255ce7f52347", "d18669d3b1e5bf60eb02576a5d04a41acef19755", "cdfe7d4f701571398218098224e85504f806e821", "d355dca2468c6700b7a90beca7d9ba327c042e89", "41d3c507802b262b96257d3244a666ef3b7280db", "13d8d082427e349e41788653e38dd8888e72045e", "b89e641f7cdb1928e7281920b7ea802a78b8a4dc", "0ea01a8c975007f9fa138fa8489f56f1a340740c", "46bd6153a3645ad930ba2a1c730e6ece6b0cb2a4", "6ce556de7b9f1e1335ceb02ae597864a869a1abc", "7b05a5b22e5889777e6d580855c576d3a25d325f", "234e7ca979949d99ec50a7b0084807a37ac15dbc", "b754c76c0e743071b4139e183430bbeb02971a3f", "f74c72e5af0fe6c46a4cf9fb14fdef91c0ce0688", "46df9e31e2d154ae1851c9d6e0b3dbe1daaea087", "1f7ff935894ac383363aa96767f8f1de35555394", "fa89a3d594c7a38327f5c247e32248a09c396519", "c90fa0dcd392b735c8cf98831f87be5533e8bb65", "d8b833396b42df283ac39365e1df25c2c12adb6e", "cd6e1eb37b07025cc0fc20c21f8358c29b147400", "94ad3b786e98f8e95e2a2b77ca76c4632bb310a8", "6394a6ffdaf4e2c6391a2ebd384cafe974f8e030", "37b6bb4d2f125e57ec6c51c54068144667c9b4c5", "4da51db29a692cf866b58a9c701663b1c6b0607c", "c6b00ef10b6861b71226d6f160e77de2bcfd506a", "04bc0a4865ba9989909085f797c7bcf1a041db49", "8de2bba819f46c942ad0507c644e4d6b6a99d011", "c7bf15d14a5b2d351fbd6a70a3c888916b790c30", "8e959a5c28b6506608c4cf97dd3eaface83a3804", "780fbd091144f8f1d55de8f2e72c0d0f01c20e33", "ee462803ae515f3403aa89f01b3916b2b11bf952", "23b4f0bf71d0a43daa3c9df568ee3b044452744f", "59ec494118ae945ed85ee1a8929d8e3bf40e9d96", "d207b92bafc7212148b6a25934a441557d60958a", "ec39e22f13a6da96e9beef30ae22b4c43515dd67", "f83219f7d28813eece3cec27a7e131044f14dabf", "8c978042dc311fce0c519cbb9d102b0bc814f2d8", "e19cfb1bcee6e7dd50aad1ebdad45ca5c084403e", "0f7df6f492981b2170a7b45656b4f7044cadc9be", "9d7905aba5e7f5306c9d49b7cd59a89516f24894", "78c2950e512df89e5d81be125b1ff7e957211727", "a51d1efaa8ae3d3caefbd741f62ca4474da64ecb", "6023ca1d76e1b4513b3ca100bd6c3e1abaa45d42", "69411e743710e86f5d009251dbb7c99ceccc246f", "22069f95d7ffd33a3fbf91e7df704d8e21d85fb3", "206641dfc0b8eb5a0b983a22c50b66a3c13f92a4", "2f774f853fcec497bfb53d618faae757ac8c4d65", "bc841badf0696448a25ab064525dcfac9d5cdde1", "5b168561ed8c433d37f47aa82302b2af9ad301f8", "ea79f66214b35a80ecb89a2eae437f7497fbcfcc", "27abd8afb3b779696776ee0678ad0aa4702c7124", "3541816cc1f173893788f3af917660408730e7ca", "9f370a7e1c58420bc5e47b69f0ee8c1e810d4c7c", "38baaace32ce8205e75488531121167f6214dd54", "98411a6563ebba4372504a84ad177f9fae59192a", "bc9892c6246968a286333b6760408aae9177851d", "e0edd25f4e41fe4857fcbd768053a97ad8458c6b", "aa1271a5991cee65b52eb4c40513de99899ead34", "94a7692d34d112397d9ab78ec984bebf1e8dab04", "18cc9b60547e1b926654bdef850d194a26a61ad8", "94dfbc4cd366fa9e8d64d1811f03137c9cfa9bff", "955c8d9705e0cad8616f00d28fdc3306a717726f", "d064a57f19b19ce552daf875a82e1ef05a9fcea2", "55019cda34583917899f9f0469f56e8f9336b6d4", "4972e5f6e5d6dc4bced5d9aeeda7bdc410f1c679", "5ce4f75516910d7be427b78655566e847995071c", "933d69cfd1c214d1fb773dea85cfd6eca7116c65", "b60882426616d1626a6913c744cb51b935cd50ab", "b4ed7bfcd6f54c4b9b824576528c6897a6da5d5f", "5dc641439db55bda71390a7a4a3d7d40dc1cecb6", "d2a7e339c7e79722eb5247441ea1312b29e5cf85", "baec383b6a29f92592da968a181d23fa6f2178ef", "8912c16af80e831f0326d1d5011738938b9aaa57", "1363ce6b36a77b9977d3aa6259e236ea1b0624a7", "dbd8ae5bbd831e7a51f28dc9c2d4a068573b3048"], "references": ["da0d5abd0a549c790230b486f4050f722da2005a", "2e1cfe18e734df5db46313f1e09341d6d2ffb317", "b516fc083c6a09e08dd743c9928235eab3e0dc6c", "111fab6e21e23453f76f0b3d82c15230dbe85c47", "442bc76660969db7872a2694d5be8a45119211d3", "327acefe53c09b40ae15bfac9165b5c8f812d158", "6edc4db7bfa467f7ab7029b699522beff1fbf672", "0f622212d148c6d41628b0bfebfcbb44903b18cf", "8bf4f10144238d89cac0f3404eb31b75d4be532f", "99df4c7911c4d58119a5c5f4f3134bf3af98f6ce"]}, "processed_text": "предпосылка последствие организационный приверженность преподаватель пакистанский университет"}
{"_id": "e9c313fb4cfb8e31cd5ab80ef692dd30f27b70bf", "text": "Влияние внутреннего использования социальных сетей на социализацию и приверженность организации", "metadata": {"authors": ["37365735", "1731667", "1764628", "35691414"], "year": 2013, "cited_by": ["7a813f3c9e25a2e3af0aba9a9a7af238d45fade2", "b73f4b089011194d85ceeafaceacc928ee46dbd4", "5885ab0483d9d6d67cab633beb9fb350dc2d608e"], "references": ["9f720a880fe4c99557c4bdfe0e3595ea60902055", "e64b8bdb02fa4dfa888e2440da7cd4b5b6f1beeb", "690373c11c57a391a181bb27807339a448828cda", "1f5c6c7304876707a0093519c1713eee416991df", "6b8fe767239a34e25e71e99bd8b8a64f8279d7f4", "958534ee647a5b83f30453ecb3ea605fce280e5d", "461ac81b6ce10d48a6c342e64c59f86d7566fa68", "3851ce4f169218fe37ab3dea9b12885197cc4519", "3749798197540ba85bdf1f0f315568fb7908ff9f", "a7e643766b9be138143ed060d3e462c2719f7652"]}, "processed_text": "влияние внутренний использование социальный сеть социализация приверженность организация"}
{"_id": "1b7db8ad49f94da9b90db89bede5f27644bb9911", "text": "SGDR: Стохастический градиентный спуск с повторными запусками", "metadata": {"authors": ["1678656", "3065995"], "year": 2016, "cited_by": ["626c54aa71baabccc8dfe4c0516baf62de4b0c38", "1299a6489b93b3d0c5112593b04ea10af10bba80", "f18c3b6b6cfa80fc1320c4adca9e7ed4e342e524", "c085682ffa152a3b85da9c72bb6b9d271db46c88", "806eff76a0c03e119129c484149cf3d410862f1c", "f7892f3a6d096cd65de0321a1901720d886c3e62", "f10f7974b49703b84021fd263867236141caaa14", "1fab230f9fc5b5445796bd5ce3dcdef867020962", "c758034ae972bf3ec64746e889674920d0befca0", "571c9435108129ac02ddcec6b75f49a1bb77fdce", "c9081a8b40f764afc56805fd92516d229f04f2f8", "d9f6ca3513c4f84ec412f221fda9bc9c340d8bb5", "1acd0978fab7ed75d721f57d3c03ed35aa18d47d", "185f19f2f9101a9aa7876d6644eebc86ad21ba0c", "efbac99adf8628aae7f070e5b4388a295956f9d2", "517254017f0ba3a042b83c55fcda6fc6295c822c", "cc6d3ccc9e3dd0a43313a714316c8783cd879572", "acfb4b742f041454c35a07eb610fb27d4d3e10e0", "737f6cc6e237902531e8047cc12f7f46a4bff282", "b022f2a277a4bf5f42382e86e4380b96340b9e86", "65984ea40c3b17bb8965c215b61972cd660f61a7", "6b325af08a63bc8f94c39ae1c12509dce23d755c", "88358ade41f525253e9a7af164d8e4f8c56ffa6f", "a98693c93892b1de647d23779a8f1fe2f69ca7c9", "2444be7584d1f5a7e2aa9f65078de09154f14ea1", "3cdbcc2208407ccdac289c21f7f43a0f997b49b0", "ad3641053907bb99e8d0c3ce4d144a6b8e4596dc", "289f58af35a5a7509cd8addeb450d45a2dc86bad", "22aa426aeffb77339646cc03da8e94de22396efc", "8563b6545a8ff8d17a74da1f70f57c4a7d9a38bc", "15178a64f4becc60b382d3b433a985c9fc7e3574", "047efd37f34a916d50dbacf4c52afd968389e5e1", "8ef6aeafe472cd3b20e9e1d4b433c3722d371d8e", "b134d0911e2e13ac169ffa5f478a39e6ef77869a", "9d9460f42aa9fd1d1cb9b1ac20edce911f4c3a48", "f1c55047a7b8f177f874e7968186e5915e061aa1", "5c807ba08762ea4c84104a01319d549780323aa1", "51ed8996e6bb192c4d56cf16d27ce31c4fdb687e", "8047586d2223f3076a1fc028197f54d0997bccfc", "d5a8c9bef7020e800d3b02573a983ff1eddf285e", "c7b1d9bd52220442cbf6bb217d5fc05ea6af59d3", "e644a409b4a4c6eaedffe27efbc5c76280b34c61", "60850bca77b3cdcd55ad2c9eb2d547125e0d2832", "c205ae3e2498821871a3265d44c1ed72bc7325f8", "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "05f712ed173844aeaebd28069c4b944dce4ef2df", "5782a1b6fd73276f9f2882709ff7e3ee0764398f", "607182e337e57272fc9834ed4f8bcdd487bafa0b", "98286df6d923d787f26e034bbaf3a5a64ac29cb1", "5a1000159424edd0ec66bc04244f961f126ebf55", "6ff2a434578ff2746b9283e45abf296887f48a2d", "ab63be50ee3bb93950f2e176da97d9c63c85e683", "e4edc414773e709e8eb3eddd77b519637f26f9a5", "b07018924334ddc6ec0e8cb07ba0093d5e8c7997", "49ac61eed8301f41da85e0053be3be790293faac", "90e06703a776d4d482f8bbc04f31d816ee02ca8b", "eef3690a59ad4adab0ec4ee6d5db0ccf5e79152f", "029a01dbfee3b57dab084c7e5617a93c7618935b", "d85704f4814e9fa5ff0b68b1e5cad9e6527d0bbf", "481cc0f37d0452bc61adf0e08f2cf40bc5e56a00", "2d6967a79ed0b093d616badd3e9d23217eef66d0", "9f1c5777a193b2c3bb2b25e248a156348e5ba56d", "9412f4feb816984556eb5f63c882ea7c4de71a71", "b0bf1be8731c60b2caf3a27f1e95b73875c4220b", "b636a4f57b8f2cf7400179f135eeb66cd4fe12cf", "91926cbbab8d564b69360aa838044575c424a8a0", "1a3381c421b61bb1a133d96168fbd8634f6af331", "37b5dfe87d82ba8f310155165d5bf841dc92dea2", "4d28ef970ac242b311c9170657e7cac7b0a57fde", "5f79398057bf0bbda9ff50067bc1f2950c2a2266", "eae8b3c3efeeb07a8ac36615149e3fe8b414c372", "2faae97b594faacfb94b5545776da8b52c9899dd", "11ab0434cbac3a84562d9945e1aa44ddba092868", "7a8e4fb7e6733441a6df1e8de822618b8c5778e6", "e34a920f71a9e3f73ccf36d55650233d3f80912e", "a9096ad8421627edcfcf849964eddd853f1303c5", "74e381218026c9119522e55ecd4f8dcd5d7f2eef", "dc160709bbe528b506a37ead334f60d258413357", "af492cc14b43b397b21b599e2df6873547c70fe6", "425032e4fdd531cd7a5d3e7effc12d16f9c076d9", "4ec81d1096139b25117c42d70f29b0cc6f003587", "32a62f05c89333321e45eb4467c6bab0ae18c114", "dcc808993310a8a64fdd5efa9e46d0022ff12c27", "3fea412361b2d14cb3c6723968b421c1c8cb38e8", "e65ad78ab5bf8932b474ae5661509705100bd18b", "1269e191091eadeed6f246cf5a6692b178bb4d94", "8a01b751d3493a915a1ee2ca9c3f5f8167c9fef9", "3aa695666a7f40e978db0e77ff252eea2de8b51e", "822e9ff6a90227bcc734a25305ff4e3db5efed35", "b8989afff14fb630ca58b6afa917fb42574228ee", "5652c06e1e6d1f8cda129c91a0b049fb8822760d", "79c95fa672fc023337c888024178ea81bf29b95b"], "references": ["dcf094bb90c3cc0360d4e317d4bfe71490e87618", "33da83b54410af11d0cd18fd07c74e1a99f67e84", "baf1ef06e5b6cae64f83311646a21b4e56a6bd92", "5d90f06bb70a0a3dced62413346235c02b1aa086", "1f76b7b071f3e65c97d09720f88d6b0ad9f07e8f", "4856e7719e566f2466369ae2031afb07c934d4d3", "70339afabcc0d35d85b1084c2672cc909db23fa5", "394708545a67cbcef36e669440ec7dd025e25077", "272216c1f097706721096669d85b2843c23fa77d", "d90d117bf6886e1ab56940fcad490fdc9312b515"]}, "processed_text": "sgdr стохастический градиентный спуск повторный запуск"}
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{"_id": "41e5ed6744f1c901a55ee68ea8235d3340e32528", "text": "Анализ рейтинговых оценок профессоров в разных учебных заведениях, дисциплинах и культурах: Основные признаки хорошего профессора", "metadata": {"authors": ["31724961", "1738516", "2738621"], "year": 2016, "cited_by": ["ca98cac8103b58bd866019e97257c48675453e11"], "references": ["167e1359943b96b9e92ee73db1df69a1f65d731d", "5b95d6ce72862d6eca8d1c097a8db7eb0bf7594f", "033b62167e7358c429738092109311af696e9137", "9141d85998eadb1bca5cca027ae07670cfafb015", "0028a3d1a25b620d427e07336d4d43b3b3f9f7a4", "26865678cf8175418f3b8df23a907315cc38cf1e", "6421e02baee72c531cb044760338b314c7161406", "7d5a6ee15bfffea4afd0b40437fb34d2c3e8e0e3", "303b0b6e6812c60944a4ac9914222ac28b0813a2", "97a341ac9ce59197679e87defabc71ee45053217"]}, "processed_text": "анализ рейтинговый оценка профессор разный учебный заведение дисциплина культура основной признак хороший профессор"}
{"_id": "562e275ff6615d3b59bac857fba6dc66a8d4a59c", "text": "Синтаксический анализатор, извлекающий тройки из неструктурированного текста", "metadata": {"authors": ["27656709"], "year": 2017, "cited_by": ["06a6b3c8dd8da5076f60941ba90f3f1687cebbbd", "2f6acb9c5773179c9ad7109a105311eb28c2fb35", "10dbd29cc238df7f07a4e22e92e371cf448bf911"], "references": ["75ae36f8f3462588a498c4159d05793e77c378a3", "05e4f70be668aa448d50a438cabd07b47107427d", "34ba24f51f8e1f15b9345382c3c3917a08b20325", "353f12ccb9c0193f3908a2e077edaca85837105c", "2b2c30dfd3968c5d9418bb2c14b2382d3ccc64b2"]}, "processed_text": "синтаксический анализатор извлекать тройка неструктурированный текст"}
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{"_id": "109cc0e1b5cbf8f4e329f93060032db46de72bd8", "text": "Универсальные верхние и нижние границы энергии сферических конструкций", "metadata": {"authors": ["1874358", "2847910", "47762372", "1729514", "2985842"], "year": 2015, "cited_by": ["e6ad75fd008c387d2693b02a4c8a19cc43f0618e", "5fb5262c8740e9b2db2018564dc58c56dab2a31a"], "references": ["51829b793e222e475497b5001d3a02fd20931e14", "055a140d5020e3344c9dd271ce79d5a709bc71f2", "95acb9b5a09b2e57d870a5b640cf04a4283dad42", "c7ab16a5ccbf1f539679d792a7295926ea0ed416", "0410f5555181162d048bd4d919e3f20bf4dccba7", "726301abd9e367ba48cd8b4a097cd03468bc6f5c", "94f2b0a8a4bf74324c4d4ea97f471ceda4037304", "fa4c72540d19204317c3f06474a6ce9b38f5bb5d", "c915475379477c5b56f0c20f5085d8986c009410", "80df49b1d5d0ce2aa2b03bb0d74afdb19eee9822"]}, "processed_text": "универсальный верхний нижний граница энергия сферический конструкция"}
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{"_id": "1f157f2b144528924eec46d9316bd5517352b89a", "text": "Как исправления превращаются в ошибки?", "metadata": {"authors": ["1718436", "2042324", "5799064", "40626838", "1799890"], "year": 2011, "cited_by": ["77b115c5f1d61e9942b982ecf6b74dc107a86e60", "6ed85b2cefbfd39745c9bbcd78dc476442bf673e", "1b5d601d82af83f61eb79833530c21b21b2dbaeb", "32fbe529b1ce48789b67103a1cd9cb8f2921cd62", "256d5f9dcccb2d2f6f6b7dc541f2e95b9037d810", "31f926a544cc1946af91c353e2417ecf53f03a79", "41137c27f40e389dce7d410ae683fcf7b670df12", "3d277e7f6c1821aa3af961f359925c26d5167601", "78fdfc002ae6b2d0bef18dddb43f64d368aeb59a", "f2c930c0d3cbbc5409643c3a97801b5e3703ab7c", "4c099f13569a49a11f5bcfd2c7aa40a920e90230", "18427d980e196c34fd0a82f1cb1bcf4d54b6bfa1", "2c3637f369ade27fcf9de1c34afba16236539c62", "a6eee06341987faeb8b6135d00d578d0d8893162", "b7517fdd30de38f15a07b4848f52bad03e164312", "6ea75c8805176bfbd609e4b8132396ecde8bcc45", "12161e5c5daa594fdab296356b3424c3bf4c8e9e", 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{"_id": "1bf06b2bbf53089180fd3676720d80cbaed5975d", "text": "Влияние качества веб-страниц и игровой составляющей на восприятие пользователями онлайн-торговли", "metadata": {"authors": ["2828888", "2102725", "1690011"], "year": 2007, "cited_by": ["c520951f5ee3d34a6973dcdfa88cdb07ae6a638e", "34f97e7ec33bd519f1163ca865799a87afd42db8", "b3a442163aa797ba3e9077fd54f84df6cf0ddeb6", "f93865e28483c5a3360219a6d0a45659b77018c6", "1fa4d9baffa9c97c61214c7813d38bbd55371a3e", "f8bc67e5fb396aec16e571e7b1bc9e75076446a9", "3ccb665b4aa24158133e6f90496728644c11a773", "45b73ef544e1cd7170d8d97a9c8b0da3330bcaa9", "d1d9136cf53b71ffe67904363911b750ab184336", "40e7558f4ec37b221e7e789abb2dc0bc13924e2a", "99ec0c3e380dec516b8923b03106b958c1ee6c5c", "1f1664aeee1fffa62a163b630f462221a310302a", "af14a4c8fb1dbb7379b7429aaab2889c0d0e3151", "5f98ef4768e8f6c1e1c9aa5a333b33a75a97dde7", "25b55f97807959d3186f093772150c2ee50ec1c7", "9e25ea314d385775034d323efb9deeb7969a5b56", "a49c7d6b348a08cfc4e36f05947a2ad5b44008b1", 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{"_id": "ccdc79b2aec687beef2cd3526cf47dd79b9ec220", "text": "Подход к обнаружению вредоносных программ для Android с использованием глубокого обучения с учетом веса", "metadata": {"authors": ["39634635", "1687515", "9046497", "4228230"], "year": 2018, "cited_by": ["5240670a0d5c38b3e30c14fa95785b3f335a97f8", "6cf96d36721cd4822032173ba010b106a9fa6b90"], "references": ["2948a94b59f090de7f4393e179bbd8f0ded584ad", "03a613951421cf67237d5278d6bf3702a26da9aa", "7b722656cf3c80f53f1b63b3085f5c76ed5f0610", "c55aac79840751c940d2d470e092d964a7cb2311", "41289566ac0176dced2312f813328ad4c0552618", "05457985ed22d043e561043951753f959017ee90", "e5ad332e2b23727ae842875674b60a99f490fed8", "922a324c99e97c511477637f3cfe16c7f06ce382", "365859840ba0b560a6e82e0e808ee26a7734af51", "052b1d8ce63b07fec3de9dbb583772d860b7c769"]}, "processed_text": "подход обнаружение вредоносный программа android использование глубокий обучение учёт вес"}
{"_id": "d7e3a93de209c0c5501b4932b9a7d81c89ed64e8", "text": "Теория планируемого поведения и участия родителей: теоретическая основа для сокращения разрыва в успеваемости", "metadata": {"authors": ["51428270"], "year": 2016, "cited_by": [], "references": ["1ff5581c42e43e9842d853d026f31f5da1752b4b", "54080350b97bba4fecf20dc7a56c8c889aa040f5", "ab1fffbf36e4f42d90fe1ced54832230bb42659a", "6a460b670d85d5cf5e5a21e7f75043d16b36fb26", "d9e3342584af65090c2c5abc05d90400c94d2f48", "49859cb966f4571c355595d7a614aff20154bfae", "ed2f9587107dec6c34a1bb1589cb720b5c112c99", "ca8b365004ead216f84e5ce1fc77d7946b17a828", "cd94b967179d26ec485348df0f35bde3336e98b4"]}, "processed_text": "теория планировать поведение участие родитель теоретический основа сокращение разрыв успеваемость"}
{"_id": "bdd6b6635cf5861fc9d914a6d2938fcb2daea7ef", "text": "ЭТО ОТВЕТ НА ВАШ ВОПРОС? На пути к управлению диалогами для систем ответов на вопросы в ограниченной области", "metadata": {"authors": ["35142518", "25194441"], "year": 2008, "cited_by": ["0944977df6daad54f72a5f4bc3e2c321159c81e1", "2a56bbb2f3b127ed036a5e3493264e7da4ecc4a9"], "references": ["2c949cacd519877a8b784e14b14b9beceb8e237c", "160285998b31b11788182da282a1dc6f1e1b40f2", "074ae7169efd0a85381003068d2a28624a00a44c", "8213dbed4db44e113af3ed17d6dad57471a0c048", "5ee0d8aeb2cb01ef4d8a858d234e72a7400c03ac", "16708a910fed7a371cb250a3b6bf99a882920a2a", "185ec7520ae1e6659f2e6a73d3ca7c5adecbfd86", "abe0bd94e134c7ac0b1c78922ed17cf3bec08d5e", "2416d8d5428d08066bd092ce1863461458692f46", "a575714c6423c96f27c05fc3ced6c056695e2b05"]}, "processed_text": "это ответ ваш вопрос путь управление диалог система ответ вопрос ограниченный область"}
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{"_id": "8cb5835c4b4e042238304bfe7b0d96456714638a", "text": "Компактные реализации блочных шифров на основе ARX на процессорах Интернета вещей", "metadata": {"authors": ["1786159", "50814336", "2880052", "2062623"], "year": 2018, "cited_by": [], "references": ["09c2725f5b183c7482e633b18aa10750a4fe736b", "980fef72a502338685c6b4ad2aedf424b7560691", "0c58f921f5fa9875da580ba30694a42e5b9d2f06", "618f24fe386ca8d2efcd76c1b9fe54d86a0a9a93", "c07bbaecdd74ced77ed85c34d04b95fd3eb435aa", "10845d7f4f22c573479102f59997162003c55e2f", "656e91af74e2ad12071a1232b27a580e1b11914c", "5a6a5d04172ba9f2418448e4fef2c6e7814454aa", "58af24053de3d9765da2ec2b8f0964e809e8bb04", "3a3f6dd150b8908f5bdd895cf73345d5dc344c8e"]}, "processed_text": "компактный реализация блочный шифр основа arx процессор интернет вещь"}
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{"_id": "52f8eb239997d9a324d4794529c60522db8d08bf", "text": "Изучение многомасштабных блочных локальных бинарных шаблонов для распознавания лиц", "metadata": {"authors": ["40397682", "32015491", "1718623", "47059263", "34679741"], "year": 2007, "cited_by": ["bfbd635e577d7a08cf2dc688ab0ab3242cb18dc8", "3a1195829de18f9b4907a0b07a51736f06334a7b", "fe0f61d768067207db04c3ec67f9eb648ef6771b", "1b275a5d6e0bdda172771bcbe7a486b1729c30ce", "047f6afa87f48de7e32e14229844d1587185ce45", "b6e2e8d4b3da94a3a9b56d712443979285099987", "eb13060227e5e097c87b00b82b66831df91b374d", "cd64530a910ba28cbd127c78913dd787184f8e6d", "506a5e8780b5f02575576abaecbe9d9e21825bb0", "5a888ebe985bd69af970f5fda9ffa7bd4aacaa5e", "78aa521bf08286ffa4c11c62c4d3f232486cfe9b", "2a29ad33d8a878554008e3f0cad7d3607451d16f", "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "4897efb496256f45bef5b114b8582130e6a992a5", "ed819fd623a649f6833780ae178ef4c60ff7b1b0", "ff69da3510f5ffed224069faf62036e1aa9b6d26", 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{"_id": "603d0764234f5a35036dc9620f13e144a45ffc21", "text": "Моделирование подъема по лестнице с помощью лопастей для мобильного робота на основе эксцентрикового лопастного механизма", "metadata": {"authors": ["50876739", "1708973", "1679353", "2653882"], "year": 2015, "cited_by": ["f4a763be3d9f72e9648eef81ee2743cb1172c166", "e65f5eac0636cee201372c2a7ce398f803872432", "c5b844fed3bbb5481f696d5b02860adef6f46211", "c12ec70f0211a14d9f1a03a4c7f718218c76a687", "1d846d1d1c7220f0662a631bfe6749734da57636"], "references": ["675a0a5d9b2031498870a3dc4941aae7c0614151", "cda3765f31158815a2bdef40717203ae4c20a8c3", "404bdeab924e3b5ced52a40b61db877ff6d6927c", "55288d723499d7dbc227e931b9390412957d6756", "5a53e6ce20e4d591b9ab02c6645c9dafc2480c61", "e4fa0129a801de2aeb426a9786984aa40d7c8747", "12c6c57e1bb492fd7c4ca95be936bc49b8f82535", "ade218cfa45bba164886777ada9b6d898ff58841", "7552ec71188a6fb32e28b8877aee3a73fa3216e3"]}, "processed_text": "моделирование подъём лестница помощь лопасть мобильный робот основа эксцентриковый лопастный механизм"}
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{"_id": "0d21cc2677e544b46673ff19ad4f378f32129069", "text": "Мультимодальное распознавание эмоций и анализ настроений на основе сверточного MKL", "metadata": {"authors": ["1746416", "2204726", "1718511", "2614690"], "year": 2016, "cited_by": ["a187c9fa69aed848792319d45c5cb1d6eb734bdb", "e2709186eb693c32f3bff540213a073f9a6fb735", "eb0bef870574094aaf7a210d5869bf9b6e5ccca4", "e9986d406886b5d6782c7cb08288fa83c0823926", "ffd8094c1d55e843b9cf3521b2162066bc91a470", "87995f79a739b876b0d142ed84298df8f57c57e1", "58e7255eed1e647365243b8e517d8d54ba72287a", "b97b59e7512d6a6a0852c4297f666281b03b4b00", "404bb1dca7825311ab528f7e4733593d821f384d", "89bd0b97a9a1d8f9ddfefe811c03558e9e5f17f9", "7d1e309a628636f423d306455099c449b504a552", "0a897e8c1b1fb7f8b86a6b608e8721f791051c22", "86405b78521d6b27290d5bae069a952137035ad7", "3f302bcf7e1d4566f93532ad3867b3b3de2abcb8", "5a96f2bfa2deae2bc35b250251d5fbe82ef4932b", "fc72b2bb34f6a8216767df80ae13e09d1ef0ebda", "7c350f12193a1bb5d4266e2c52987eb46593483d", "d0fe033fb9af5d2a58b72ea3a2274bad5d0c8fe6", "8bcda08f0019e5a6da435fcd76936909e8e17c39", "e4f71e2e307d9d9fce1f8bcafffc9ccffd6b466b", "5ed21cfbc94a19f592203160a61c24e33ba33899", "061afb6b8d44f4fc3f336fd3c1bd657cd1c9b677", "4432f3886fdb5f732511ffc2dacd4cd5f66e9914", "990646d7003705b121caad08147bf1fb309ceae7", "9c3e1727bfd8df53a56643bf4bf3df59855bf499", "0389a3b0fcdb4c244628e603ffaff620f6575bfc", "82c3e2e3416c73bab69beb2e405964b36bc8ebfd", "7bcf9e38c97d4b7cdec799b4f57ae9b655c51594", "46b5188d0f11fcb62d95516bef94cdc929f0de40", "c6161afef03c91a65354e9a2138d7e1b9559116c", "7a39763121077c5a67343f822e6617fe3013a124", "5b1780b24d82b9b93ed2c67d41885a2e7b6363f5", "f45c260db90378c4d6dcee623ecd444b001050a5", "30b32f4a6341b5809428df1271bdb707f2418362", "04946a66e3a445ff9b483ff742fb9922a732b376", "b646beac98017c06e8e1c198ef68cd2c60b1594e", "914501bf767383321c64c13b7ec365f1acf7bb9d", "291246d4ed9a5976c8e425facc86b4490c3114b3", "77abfb5d4a18c4b5e92c6e30fb2ddc81beca513a", "da58243f864333ddb4fb80a628fdca9adb794d8a", "6a0c67642a06148b6f694dbf286a0640476a8513", "9ec5e31ad1af508d73c34efdb8b3775eff0ebe71", "7af122bf0f59c568164237c7be46e5e62563e28c", "0a7a0b3bc3388869e51dfaea929f545e8e10de15", "7cf513275191b13e01ab6acf76d91c884f004322", "b450d5a6f143c21c193bcd00a9cc7da0c428588c", "778617c5029256eba82b58921e6a70804524fe6d", "0f2381ed901cae839f3a873ac36de5a2b8e4fa1d", "75b2843539dc8567b1502a19b3788adf6a015eb6", "fe5b2664159211f7a1a6cd959ef20dacae7175d8", "a5e2928cd6f7b5e7c0b517243bfd488b3bbd1e9d", "8626531209284ba1eaba9e41422ef45337d88f01", "c1cb3daa2c7d96fc876d6b96265e443773e697aa", "c098a2c99bfe606539a7e53d79467c9378f0bd46", "52c6c37ec8015ba6723b909d9c8e984829c7e336", "02139d2b7a80e66f3d29c0de47daae6279849d78", "a60008222eb0dcf274332fd19212e4b5e07e18c3", "acbe26486bd0c924e3672fb117ead217b5ad3c50", "4d53b4aab6bff070942ec2036b0d7e1a9aa6b446", "63dfd38f1c68418fa54a48346c0481fc89a21b44", "86643c20220b24955c1d07a549432143bb22b733", "75d17e8fa5165a849ebe5f0475bdf77bf0b6be74", "f5bd39e8aa4283a6f6ff683725969c8d47e033ae", "cd9a48437e23374d37eab9fe51976f3ef3f46ff1", "5839f91e41d1dfd7506bf6ec904b256939a8af12", "6307fc68b5b0ad8962712755b128f2018533f141", "15810b5057730a1c7c047d47f42a94dafc0fd95a", "59159808503f83b5358042dd6bec158945982f09", "e29bc07a6e75a89e422c9597a14e530583b1c78d", "4ba325dd2b36fa6827516d62e4ed2374861bb7df", "a180e8ef0bebad0f49f5c23e3e024f4b2675ba07"], "references": ["8626531209284ba1eaba9e41422ef45337d88f01", "3fa58a0dcbf7392e02f744a0f729ba8010b7334c", "0cbeb3cce2947fec2f790b1a28fd182640251b4e", "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "e940f9abb0aee094e9ca80c01fdd05d98e5c6e4a", "438219194cedac00974ad28604b63a66e0b6f436", "e42f25d2d2e4cd9fa1ba7c22ce027609967fdbb2", "240d5390af19bb43761f112b0209771f19bfb696", "ff371c2628ffecb60d22e3b8afe3b1c08d838657", "ad3b3d00d3601190dd04155d69c343fb03bfe704"]}, "processed_text": "мультимодальный распознавание эмоция анализ настроение основа сверточный mkl"}
{"_id": "4acb38f96f3f69a443e1684040c14d1cecc4f841", "text": "Автоматическое обнаружение дефектов для обработки матриц TFT-LCD с использованием квазиконформного описания векторных данных ядра", "metadata": {"authors": ["2298248", "5531086"], "year": 2011, "cited_by": ["a545d5132ef46311ce09eef3a4321b43355b88d3", "8df5509c57d73cc5bb08c7480ade0d14458f94b1", "7645df23c3575f2e899b38393efe3367aee41c1a"], "references": ["1812269d8b30ce1ac0cbae71037a93d35ad3b77d", "5678ade24d18e146574ad5c74b64b9030ed8cf44", "01e949d4d5f0b869e906dd26c3564703bf0b7a97", "a9c874511223e09f08febcd017da5c194c67c25b", "b4b711fb1d07f8d03d087d708debaeb38ee30fde", "7bb0747b7007dfbcb36253060cdf496d3989e193", "63973118a8f4e4c0484e1cbd1819af3387319620", "818aeef0bda773fe775c17fbd4c95b8aa5260d2d", "6bb9f6fa69371c2f4351e69f90c7a8d07b6a4fc2", "44f951f88a82b19f36ccf46768f9c02da86c3ecf"]}, "processed_text": "автоматический обнаружение дефект обработка матрица tft lcd использование квазиконформный описание векторный данные ядро"}
{"_id": "41c98c3080159ea3fbef043358fccd5b2576fa6e", "text": "ARQuake: приложение дополненной реальности от первого лица для использования на открытом воздухе и в помещении", "metadata": {"authors": ["1715550", "2694226", "46706407", "33722953", "2894752", "2677649", "1825921"], "year": 2000, "cited_by": ["28d5c767bdf6cd3b5cba06764c5ffaf73df74905", "d6f396903acde00f6bb25e910ddb8d70e78c5739", "dc56c39998afaf6666b729dc692106b1b90ebaa3", "d72798c2ac7eccf2b79a3249b92c769ad9c7904b", "250fdc6e24b34488647ad59db86db9df11defa32", "4d38a96a76a6efe63796daea40597a8cf5704333", "ca4b88aadd23036981fb43c5d9ff7e69193ae968", "2f51eca49b43b85bab49f3fef862a09639b3a810", "5f1a0b66f7b448e40bc148d9bfbcc05011a9a471", "91af727b2e8e8a95f52c0365a9b4ec7c42dfacdf", "8a4267483bfb94adfddbff39de2ebbad8d4e43cd", "4c17e5bec5a1dd823eb811dddc2dd9f6916b1b98", "20350161e7db951b73abfe300b6a7b9e95b2c441", "42d90ee17437d0213f9e6a597fbbbd6d4c1b35a7", "7d6ecb8b4325ec9e4b59c6085bca88be24c85581", 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{"_id": "53091fe2f9e95b07759ca1537d6ea8819ba25cb6", "text": "Отслеживание нескольких людей в режиме реального времени с использованием фильтра плотности вероятностных гипотез и нескольких детекторов", "metadata": {"authors": ["1773756", "34640171", "2407302", "1733384"], "year": 2012, "cited_by": ["458eb167e803b4ae885991acc16bccd40eac8ea1", "35e730f7967155b9394f9e5d3cadf2b955ce9a7b", "4c9009988dfb9b0c758ca0dcc1685e69e4bc7baa", "4ebe60a33905a1e8c3e8b961ecbf2a5ddac0bc18", "0717599d60fbe6f4c22b937f2ef31b42425b7e6b", "7da261ca2cff495bd7744504797c4c3d5b8b9b4c", "49efe0bfd1d1d034a32fd95bac9786e435358e3b", "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "f5649142df13cdb075b0382ff99de19a2f28f0aa", "8fe0a35dc47698b45f3812bb502b0921b349ae56", "5348367971754f6b63bd0c595fc3e331eed8950d", "e55a5765a9f6eec481211e32e08470ef91a376f3", "e12786025a781bfe6f194dab8a0ce75938f2936f", "400aa5cb2fec558f7827c3638993bae34752ff31", "3cc57b05a5a981dc69e3082b86661b5ced116298", "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "f6d35f4884d0834f2a2b29fd6341f3b4afefb119", "a48a8e337a155d01a9652f3ea36675710e600222", "bc62c1e6008f2a5e49cd26a35ff33fb214479f0b", "b64c2baf82c51a7538136c32f5193bdfef946297", "29875d51da4063707a5e16a90493c69be6fcc006", "18cb9cd978aa526365b23a70d9e193bcc4d9d4ff", "4e2d99444a7f4ada2b8194ca15cb5e4016b025be", "8cac5cce318a91462b9d814918ec25d7efed0198", "02b305fda303fb214d01ecbcded0e1621d7f47eb"], "references": ["ab9c4e600a937a475a877370718eb76f6b24538c", "567dfe325f56709d3d8a4694b26f9d100e038b04", "71255ceae7c78200e9c37675b39c7d3436771e6f", "03737854ba0b840c85204f0be8756abd18d26cc6", "d589183348f219f885ceeef4f6f0c364b63a0bf4", "b5fcaf7a4420ce667521ed31bdfe46e2b1782697", "c16b01c27c927794ff398d25a61bed71c8292ea0", "d8fed7adc510a8f5bd1defad4c44bd0e30aa50cb", "b6427febbcc396a2a88ecccda59a23a6aece7149", "84fd16dda54b68f21ea9042e913e46b3d3d85ecf"]}, "processed_text": "отслеживание несколько человек режим реальный время использование фильтр плотность вероятностный гипотеза несколько детектор"}
{"_id": "f68911078030c56f34e68041908c26808b63f57b", "text": "Компонуемый, не требующий взаимоблокировок подход к объектно-ориентированной изоляции", "metadata": {"authors": ["34626367", "2254721", "1728219"], "year": 2015, "cited_by": ["d813f756e1512b09eb6bede8c1e0983986728cbd", "770aeb54c63bfb8b94cd04045f8bb235643b29ec", "8d63b6919818030a493f8444bbed98d4c0a6f9d4"], "references": ["fd1a7b63b6bcd2c6a85805a493c190c3dfaf153c", "3d985a05e4a49be71d497e7a2ff3fcbeb74c4bc8", "94ebb0f9ea49f03af872ac624710163e1267075d", "09027e89ce67980e3faab23fd8582f3a50184fda", "94c20561f102ede79c461c6aeee74eb7a55d5eb4", "9cb73c261aca8df9ed31eade2e580c37f6d91dea", "6d654efc37c0948c158d098f586500f06a3244c1", "0d8f77b74460f5abcb8e7a885b677a000a2656be", "6ac4b7f4f78e0ae2c59f47a9573b849014ddf4ab", "a23e6569cafc467cde325c59f69f0d5f3838fce1"]}, "processed_text": "компоновать требовать взаимоблокировка подход объектный ориентировать изоляция"}
{"_id": "614b23042fb044ecfec71170838fefc635840c6a", "text": "Алгоритм Bat и поиск по кукушке: Учебное пособие", "metadata": {"authors": ["1750780"], "year": 2013, "cited_by": ["9bbe3e47520e3b286da384e5d52350947523d5fa", "46febc8b79dceef9f8031f2a412890fac721b0d0", "0ef597e5ff559937a046b730be7a0c8e9d5617b2", "19bc8eca75594ad6e9df2eb8efa696ef88b0c3bd", "e5bb80c1a45550bd9cdc7a974933b722cba77429", "cc2694f62579923ac997f6cdee468b37c5c41ccb", "eed0be90aa18b15d81c0d411e8f1742a3789036d", "3121d2a68ee28f922ba6133442a40166c301d4bf", "18ab9678f73f194be62a9cc69f2d7b9196e42b21", "b3f1e14c4f748d3b84cc7b219047b7848bdff527", "4ee55ca511542d8c58c63b0512b50f49d53845e7", "b1cd48f3ace0bbfa86cebe51fa5bbda264d0c80f", "130999c80d66509f63f5596da957c448f47a5eec"], "references": ["181d257d3b60a1b75ddd9c5f91066e785f1bb62e", "91de962e115bcf65eaf8579471a818ba8c5b0ea6", "e2691ce9b6741b866382eceeabe9035134554659", "5a7453f6beff124c22554d2ab1b2929fd03bade8", "3220f54aa9078eeae189b54253319de6502f8faf", "0c0b3433690a041e6c7d774c7ed8b0d0427664be", "cb17ef9a764601f2bdebb8f2bbb0fe751586bc8e", "36a2b31abfe239dd9b134facaedb8abc2c655016", "10af1dfe7f080d1756011e0321bc46e58a672522", "e605cb6eddafdae79f68cbe766bfb64380ef4662"]}, "processed_text": "алгоритм bat поиск кукушка учебный пособие"}
{"_id": "07a5c4ba84268708146aa4bf5cad9491b3e35051", "text": "Глубокое обучение с подкреплением для создания диалога", "metadata": {"authors": ["5183779", "46643301", "1863425", "1746807", "1947267", "1800422"], "year": 2016, "cited_by": ["98c8b2dc13d3d93e0306694a8aa5a2637ca72dea", "62c16289e72ffecfa68e8b3d8f42f2e1eb9be25b", "6a8dbea5e40831bd6e987c03b76487f45ac49599", "42d6727d6db5440a87d223a474b3dc6ecc271aeb", "b1462401921f2a155509c85389c3a4f34680efdc", "383d0ba13705ead9bcf300e566523c52697e83b7", "876a57186bd367e7a301b16ee8ace721e74de86a", "c6f7ac40fa6c81d1f244eaf94164b4e3522bab47", "d16a3446188211608966da493194c3293c607673", "1a5cc4e66d50a21289799373876334385456b9fa", "a3264428bc54b63c49968e499996abb986acc47b", "60f432331abc0976cf236c738844f9427277b0de", "6c232062bddcc41fc7e2e4e920e2caca6ca47708", "a0623cd7afaa723290aba339370c7d3a7049badb", "f9a1bdc8ecc529254178e150694c6e81f7d5c762", "b0e716728e940eb2164892b7e284940157a2cebe", "077ea3a496bd76bd22d76c432b79b9fa40e136e8", 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{"_id": "21a3a10bd30461c62140bd7ad0153935ae34ae5b", "text": "Автоэнкодеры, обученные соответствующей информации: сочетание точек зрения Шеннона и Винера", "metadata": {"authors": ["2462771", "2138833", "1727903", "1686249"], "year": 2017, "cited_by": ["f812ef392862831caab09012ee29737ab9188d67", "515f6b8bed0d02b226742f1d9b9341f7ba675864", "7d668cf7cabcca5ddeb33cb40d52953f50d63a18"], "references": ["c530fbb3950ccdc88db60eff6627feb9200f6bda", "0379b3842e4d504fe0cc927bbaed67ccb64ef61f", "0d67362a5630ec3b7562327acc278c1c996454b5", "bb1d6215f0cfd84b5efc7173247b016ade4c976e", "1c168275c59ba382588350ee1443537f59978183", "dbb4e8945fe5303338f52d2fd23044d3356c496d", "357776cd7ee889af954f0dfdbaee71477c09ac18", "1dc1adaf4dabf7a3afb8339934a3d86375155a35", "b45d42aaa334ddd0f2ef817541b7eb7e0ef58874", "555f056603ca74a3dd7fcb766dd7857adc3c9cee"]}, "processed_text": "автоэнкодер обученный соответствовать информация сочетание точка зрение шеннон винера"}
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{"_id": "f46a2337a9d94d68c2d92f0aa0ca693adafc3346", "text": "Внедрение технологий в сложные системы: структура и тематическое исследование", "metadata": {"authors": ["1961352", "32528030", "2067798", "1688842"], "year": 2010, "cited_by": ["889953609a1d0f11ba90b39345c75fe83c1a436f", "5ed7e4d1d44246c9348e83c84c481a774260abf9", "31b94ac22b53ca499da4dba1b977c2f6f2609109", "9637929430bd974bd82935b26d9338b4692eb3b1", "8a3a9657066ee715f5fcd44ada0cb9cd3983e0c7", "e33e806e27335cbd3666b9d262ba0661723e5388", "e45527ddd8a682634f2094ef72ed66d9974b5826", "8458c9e3fa96d5c661d35e7ee9894408355c9b25", "685fbf7cd1f37d4e04d51b1642fef4cf070e38ab", "deb80301baba0700cac450090c45bec4175ef301", "a28446c258945c1a10a93429d149d7187060d9a7", "a0c827c149f097921a7b387bb0c29d90ecdf0c3c", "ff7b28fa906139466779b99399c8167d36f806da", "b41ff5368f1ba3dee20fa202fb694ee1a685118b", "6de8bfd419db8e3093ee107216a26bc93ac84569", "8ddf658aca56d6a8c53896e30055878162fd786d", "7e116dbd1475e9f9363990dc9b443368a5634d2c", "3c4016df68fdbf496754ceb5405e14921bf811d7"], "references": ["268c4120ef257d615825ceb80c7d941c41ff057d", "8c6e0e318950dfb911915e09018c129b4cb9392b", "08cf7156d190db1c3746818cba6f928110eb0d4a", "ec5141849b8abf07a90de5f269c547a1d07308ed", "169d7ac1fd596bd51d5310a71079c797102084c6", "5ac8b41bb9d42c926d21c62e35f3a160156756eb", "e17f7c22cab9ff54f5786389decabbbd69f8c505", "a736c328bb96b05847dccad89ca19a5fe890bf65"]}, "processed_text": "внедрение технология сложный система структура тематический исследование"}
{"_id": "feef5abe52b21ffc198a9f439ec49151c545ef12", "text": "Эволюционируемость: Что это такое и как мы ее достигаем?", "metadata": {"authors": ["36152823"], "year": 2017, "cited_by": [], "references": ["2f175e425e8c1ca0171df1ef873a74a6dd03b58c", "c318251cc023e97f9b5ce5ae3128636e41377029", "1748a814ec56644a8d11dbe864ae8355994e6eec", "cb923ebfd414744f5a3a5e83d340d43bdd0aea68", "f7584521a3c46d6c33182d59e3de21f63270c439", "7727063bb034730191fcf69e250c22bc9038aedc", "3d326c5aa3c38b432a8c41df376f800872326611", "87c70927282f201908a60673e8169fbef3f2a26b", "006a9628286d9aed84d7439be4ed8175aaf505d1", "3a6c1211a7bfed70c7abd087f2c332c69f01dc29"]}, "processed_text": "эволюционируемость это достигаемый"}
{"_id": "3ca983d40b9de7dc12b989fce213b4abee652c9e", "text": "Будет ли переходить дорогу пешеход? Исследование по прогнозированию траектории движения пешеходов", "metadata": {"authors": ["31778202", "2324044"], "year": 2014, "cited_by": ["439cec454a2d5da464a829b8ab5135b998bc8755", "3bf34014266f8cec8c3e2c32720816dafc102925", "5ff708d399962a07f77c9bbc0d5efda52aa6915e", "e54ec9220dcc017a22e869532150d176d63ee64d", "23a95e48562b08f76153dc4bc809135bf7546f88", "cf2b099f2f63998440e2c187d63ba6940942aa26", "a7817a19ee8123026491b6389795c040e6040763", "f0ca09be64e57a473be91ffd6cc63c40b54fe72a", "10e3b13be36e31763da5727ee7c230b9ca99fec3", "cdd6b7d1dae5ffb007c72b3e5fa1d2d62f1e589b", "6f2ad4597b28e1355b6dcd2ef9df6c3fad06c802", "f71a6846a96b20d98e34aa567f4715889256c9fe", "67906211cf1482ac3a46c379d76adaa13c899d1f", "1964131464ebf42f378c64277924c8451c651b5c", "fbcca59d9fae4fbbf8bd2ca1a11e190028a3b5c5", "b6f5b2b519316e9ebdb8d3a94bb8f8100e028cae", "9144ca7e192965beac861c75aa1b85f3f100548e", "ee1b634e7ba08e3be502cfcd7f0099bee9c828ee", "bef7d5d2c5951ae9ae85fcec4a7eaf5dfd8196c9", "0b7d90e3bd8ad27e84d0a56e2a6b146240c418e6", "211d036494ec8d684b7e2c7d81a817600e8ea7b6", "2f288e187a5618e7a8a236e5d9527d328f908e2d", "db94faa053279ba6762c84a4b985373c3246d8ce", "b3200539538eca54a85223bf0ec4f3ed132d0493", "4279b2d31d8c579220e86a33d2aae07117558eea", "6c1e9224e9cfe26c05f80c26f52f97c9a5afc276", "e11407869aa4ffc24c2fdae5e22f29375639d343", "9fed3f4967bcdaebd1c321fee18fed865020a641", "8ce4a669358dadbfac69ff0d313af042aeb94de1", "df0f8911496056c2372522c0553a5cc44ab299d2", "b6f4f0c24dcc2e56e5fd51635bbebd21327d0d13", "603a282933dd7cc2bf012df66d1a24f6d7d0c0ae", "a326f70b73d69a871785d60faa5f117b90af318a", "5223f3485b96bffe7dd4b3aa71e63fd2b049fcf0", "8d84d37c9e9fe512372249bb30b1e21869577230", "7dd0db26e4badfc606c56270738d42dd21406b96", "ad9a458c2f9f940e3eebdda814677029eb9b1505", "bb715a1b4ccba3521de60db77994d5e95d904951", "bf3c25349e463c5d238cc60f5373f9218554e322", "58841e322d54744dcfe624347d0fffc2925eb9d9", "7782eb0e9c90c9954c63bd16d49472d1f1069023", "c8f6ea36e02ad604708a412a1c8b3add95817777", "99bde06e7d5191a47f8dfb7b457531cb5721021d", "7107cc260f7aca8e32d6aa8f4fa0f01e68fb4648", "c3159799f2abafee15485c64efb51452028d7595", "1dba153b743d0d1534e3711217498942159e7db1", "7bbc3756d5a99896be9f8dd4fc9b59c6d1e1d7c8", "0ec88ce9052f8dc1aafe7bc7a96919dc408749b4", "150db11adf11e9c02452c0119357a9ebf24969e4", "f96dd74d4dc828cedea8b82503effc7a012a79fb", "b870b9298c4e982468163168f8a08b3d85dff035", "eb4d3df40f910c634ea21a4025fcf526a6e1e240", "ee25a152351ffe215b04bf4b52787b6546272f48", "34a0d0cab4fd24b14554bf4d46caf07f2037eaed", "f77629eb5ad66ed61b81920196df061788ba9294", "06118523e79fc6a0f75f05c75dfd95e283aa5eab", "846652200134bd02c65c502a4e587a11592479a4", "f225f7034d89cc34c58cb7f6daf00c97c3194556", "cbc237c1514152b5681c06e4c8488fad66bf2f8f", "bce20c819e0bfedd951c9708e379c198b3ea31ea", "8ee11d5f9df0a120859f286ddad65f299244c26c", "f3fe92da9be4b750326698e204dca04a75e79d4c", "865efdda03e296a5936c883b41c916333e008de7", "b06702cd94c9ea83ab8620f305f2d813940bf199", "757fa14ac80b2c375a63119b63c2de257d1a8298", "881c6a4ca7332c11f075e954bcc0dc3ec06b213b", "95201050f70d94185eb7bba8d88fda673a38b275", "3c4d0c604d892572996c1ee0504a1f1e0887a2ce", "05603a8742c8fe8545cade27b65bcf8de3e5f43c", "a2ea1baa4c74cad680ea42a7f08c4d5804da10d5", "9ebe5d78163a91239f10c453d76082dfa329851d", "3e3d04310c2e62d76b4fcaa96623b113405edd1a", "dfbec70b90a0b5b7dc3e285a5cd8930254321351", "649c1723b34d567493873f69638bd789c702b07d", "5268523d1dfe5ea1cfaa64cfb359518dd6c62c9a", "b6c2a7b6e36e2a9f8c9eed7aa40d70d09d2c1706", "20a2890c92b7ad628aedd25db3384276f0fdaf90", "08e6d7d062dca6ed869a21d7e5634ccbfd0dba32", "f3a53ab1f58ed972285ff3382083321e4b1386af", "574261922aceabd1c41a836a0ca3021e22b9df6e", "f5fba67fa306d8692525c6f9d034ea6e99ad17f7", "f6e4a7e52dc3d02363d5e1705710bffba8ff867a", "4fd72df101c790c4ee24a38d8ae720048056749b", "734fb6d51d65207c524b211557277be1b0c8fbfb", "cd0ffa823ec50bda250aa7a364aaf87ce32384d0", "b61b1ac594ed4dd606e3633de32ec49aed263c7a", "08106185dbed2f37d73486ba3c1f26386c52c537", "e741bced5c1d6368530ce8cdfcdcaa0d9e07c31c", "b8a670eb52db712d04ae00606a025edf63dc8a79", "36e2f78805d4606667e6aed1a7e5f610491b01d4", "bb56bfda863aed88b230b8cb504441624b5e5b8c"], "references": ["468e6c3ff0ac60f5dd803fd4ad21e65aa5f52c00", "b38e4b1c5f14715308eb0f77f9854c79a9d20ff9", "9ecd3d4c75f5e927fc3167dd185d7825e14a814b", "1498b27cdb12761d9338eb8d22a1849930e677db", "5a9f4dc3e5d7c70d58c9512d7193d079c3331273", "83a0ba5c761632d841c9f01c13ff8bc5a0910dbc", "28d0f0f84559fd3f9404f80b919ca91bb512683f", "32bd968e6cf31e69ee5fca14d3eadeec7f4187c6", "ba8f87d3948d550fd3934d67d06f35f8ef31de11", "74e505a664caf82cc9d5110aa654184abcaab161"]}, "processed_text": "переходить дорога пешеход исследование прогнозирование траектория движение пешеход"}
{"_id": "cb3d6142bfa0938aa6f8cb86697c40a7837c08f0", "text": "LTEV2Vsim: симулятор LTE-V2V для исследования распределения ресурсов в целях повышения осведомленности о совместной работе", "metadata": {"authors": ["34272916", "34222529", "1709384", "1682228"], "year": 2017, "cited_by": ["d17a125682fff4f43848861479513895d5dcaf9b", "a4c54e8f3fa7325290e1cb5ae8d09115ccf3fae3", "e1f0f7b75196803fa662cc6e3ab376d186231687", "7a9c6b80d488c54d82607270563fcfdc634c5d34", "f4c527c38b02ab6e694f6239b1e437c6d8af19b0", "f1d067009e8af9ed9b7eb0cb40b901dedf3cbec5", "cd2e43ade6ef8b9e17903a802aa1ccbaaab1c407"], "references": ["fd58799fb17cd741f99b814a920b9801c9f38f41", "bf655bb780f61481ac67ff2216b4c9189005b32f", "23659afab912e91f3b32fa46de44ac100ed55f3a", "b0b811b73cd857913dcaf4858a520150cacbeb6a", "b6d6b0c1091a2d3287cfe231432109c22a33ca4c", "e8bc7d5ef83aab8835cb69b1b2e13973b1529e4d", "7e5d7c84739d16db8850f69f71f647f64cdc6f24", "2441e05dbaf5bff5e5d10c925d682a2d13282809", "9dcb31da46531007f1e13e01ad35a13dfc35e05e", "f580c5fc2719fb1cfe90d7f270ae22068074f7f3"]}, "processed_text": "ltev2vsim симулятор lte v2v исследование распределение ресурс цель повышение осведомлённость совместный работа"}
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{"_id": "a6500d8800010e79d83800c9e433435efbc4398e", "text": "Динамичное многоуровневое многозадачное обучение для упрощения предложений", "metadata": {"authors": ["38342889", "10721120", "7736730"], "year": 2018, "cited_by": ["18bed1ba959649c0e14b2be809807086ee88b0c0", "6356a18fe5136c448f14af8d1775ead09d39adac"], "references": ["2dbd523c9cd754c9329e722a1c33e317c6c0d53b", "0647fe48491f82a8314453ad79912c780badddba", "d66922ca63eb87867932f9e77989b5a4972e8497", "010e148ecb7d1f20abe56710cd2f2def1c99f996", "fa07fa673d8c908e91d22c4566572a72548ccee9", "aff6a14d587dde4b25165e6a221295fbda7b01e3", "1a07186bc10592f0330655519ad91652125cd907", "11470734c48b35f50c76b1bf7a0285d13fb3fa7e", "d9da9be266b1739dea7691302dc7eb4d33677802", "911d79afaf3ca3e3b9634ec6ed16de450cce0c8c"]}, "processed_text": "динамичный многоуровневый многозадачный обучение упрощение предложение"}
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{"_id": "45182cf235fd8f9dd8a81f61f3efd488f78df75e", "text": "Полностью информированный рой частиц: проще, а может быть, и лучше", "metadata": {"authors": ["35103132", "1815222", "5006757"], "year": 2004, "cited_by": ["25bbd0606278ea171b21d6d579906323cf542ca2", "09e2e92ec3c135f01bac591d8246735b4c239fb3", "804e72793d68614b737b2fe5f0619eac40f05a84", "c6ffd06bc4d0bec7f126037b148f299c983dd029", "c23992d2fdf1b43d1fabcd7f707ca24832c6c66c", "9839f83c34a1af0731b59787bdcebd5d1292053c", "f368a289329469e751dcfd7ba0bcc43531b40805", "c2206fef023b8c05367107708294520e4fdc7e51", "c8810d472c401c3490d1bfd867756a769557bbab", "592f6fcd4c1ac59bcecc7b19c3e92e1515da06e4", "d858d264749c1bd56dd5466f7f073687f19fb608", "75e1921ab956da524880009edf04bd4eb5fe8bc9", "cb5ed6ccf34acd921c8c20fea58544173cdb646d", "c6d17eacd04847f713c59d47aa5dd1be9091cc09", "a8ccf457f97da6ddbb502525b343edcb10953eb5", "54ce57883ac64d4494628b79a48621410bd82da8", "52556925424a5306b4c5bd4f8c9f95bd20172c8e", 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{"_id": "2c64233ad8239884cdd410fb63c63124bd9fb515", "text": "Усовершенствованный Fraud Miner: Обнаружение мошенничества с кредитными картами с использованием методов кластерного анализа данных", "metadata": {"authors": ["3778831", "2132102", "65919695"], "year": 2016, "cited_by": ["b906a6f1bf9f63c0195c066b6a59c75e68424d81", "0c987286b6a79162d95ec438b803b815202671a1", "07e59f223a00bb06461de28451acafab0926ab6c", "43f76c30869059039a097e921dfab0a10df7abaf", "77b68c11b5eb5ad7f57e2b4bd7b8b2985de30466"], "references": ["6005c9cc7abfd313cfc159aceda335aa691998e9", "4e94ff9a775eb5b73af4971322ccf383cb1f85b2", "cf51755199edce177fde66ea2dd51c54f51d0010", "61c416ba2917d4e136ab0b29325264b14c78cb77", "863e77593b9c3abed4d83348e2dc898a0bd9e850", "1e3eaadb93c528b81d51d515692dd27528e42a65", "03a94c3cc25abb6151817fbdc62c436d85a1482d", "9745dbb93d3f38b0d9ca03187d490be37bf0ae2e", "f3743501e41b6ec1e02505cbcfd2cd5f873d0683"]}, "processed_text": "усовершенствовать fraud miner обнаружение мошенничество кредитный карта использование метод кластерный анализ данные"}
{"_id": "f072d0363f437fd5ccf359bbe2fc9afaa5cfa831", "text": "Подконфигурация и классификация с несколькими метками с использованием тонко настроенной сверточной нейронной сети", "metadata": {"authors": ["39540928", "2150218", "33557707", "2110769"], "year": 2016, "cited_by": ["0d05b7a3fbf425dbc1fdcf71d47baf99832e0ed1", "4b87374000f88f413145b1fb496b494d1f75e3f3", "56fc6a54b175ea3dd9fcb5434316db56ec528f71", "6a92d31572acd2963240674e2e41caadbf8dbec1", "e131b953cd46823fb069e83922f6c5a1c1db102f", "4208a299d76183df72c8fa77452aecd7d590c24b"], "references": ["23d9401487faafd5c0de950c47e44c7aeaf7f514", "f8b95b2b7a326caacaf39fbba41ccd1885109b91", "f27ef9c1ff0b00ee46beb1bed2f34002bae728ac", "b1a1957fbddb33195059f0f625dd603b99cf86b0", "4208a299d76183df72c8fa77452aecd7d590c24b", "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "d026bc836253e05591cc9b48ff17062de4c62f67", "981fef7155742608b8b6673f4a9566158b76cd67", "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "44ba348bc0ebe27f269ee3487372182f0e8d00d2"]}, "processed_text": "подконфигурация классификация несколько метка использование тонко настроить сверточный нейронный сеть"}
{"_id": "168ecf130d9ece95d49d6ace5f9926f88a487303", "text": "Демистифицирующее дифференцируемое программирование: Сдвиньте/сбросьте предпоследний обратный переключатель", "metadata": {"authors": ["1682816", "3491668", "9931980", "9937876", "1712987"], "year": 2018, "cited_by": ["68760ed3bf0f7e28af7ce2b4c54124ea464a8360", "9d41d0b0fd4e197c2d951b461e02b97440950fe1", "395d15b8bb9e21db9d1386c03cfdb5171d8e4dd4", "f0ad5f032840f724648c1b7054fbf935fae7d6b0"], "references": ["846c91502d51b90fa3d92d9baa0709755fa6528e", "722fcc35def20cfcca3ada76c8dd7a585d6de386", "86ab4cae682fbd49c5a5bedb630e5a40fa7529f6", "eb5e69eb26d5747d52f964a37e73ec369788dc6f", "8c4811135a1f19575acc54eb064430bae41cd616", "272216c1f097706721096669d85b2843c23fa77d", "7dfbae7ffe8ed9bac3bc146d1909c59a7f07af24", "735d4220d5579cc6afe956d9f6ea501a96ae99e2", "8e0eacf11a22b9705a262e908f17b1704fd21fa7", "49cfeabaa2ac46e79c8ed751517c0059251a3197"]}, "processed_text": "демистифицировать дифференцировать программирование сдвинуть сбросить предпоследний обратный переключатель"}
{"_id": "ffaa313b8da3695627cd9915ca46b8bed24a9f4a", "text": "Ядра вероятностных произведений", "metadata": {"authors": ["1768120", "2834541", "1953346"], "year": 2004, "cited_by": ["5abdcf07284cf3fef7f215e2f1d128ada17a5a1e", "1e4b605817232d788353b5d1e8136694a0a78416", "f55f1151762766bfeb029978022abc39254e5450", "3f8e67fb22f45a8c0476678af5cc8f90d19787bc", "8b199da52cf51d2fe4c21f562d80beedc42670ad", "eed831fdb507606ac8b1deafaf2c0de5d10e9e09", "b553c7ce6542d6e04d366b344772851fb5a08007", "fae7742680645bb97fd985994aaf161774847ca2", "5a5c1829856eb4099353fe05a1cc4aa555590b00", "818afed97e416f5422a47d6661d90e1f3db6b6d9", "6c468fdc882dff26938f563b6eb1ceb2dbd2daf6", "74313d41af465a58eae13687dfb8ad9cade7ce00", "17875b7bde0e95d881c90b577acf9f709c9c8ece", "2093feb517b09eafe29fbd4ad0e868a38502d25d", "792b961d0ef20d9920ad4ffb66d75d5230621108", "30321b036607a7936221235ea8ec7cf7c1627100", "349375985e28b927aef467a9c9ca3295af9498b8", "ee6f8100d0497a39f3be06d7217abf6b03734a13", 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{"_id": "4b82b3bf2b30d74c083940a86db5b09e4b81f0af", "text": "Обобщенное векторное квантование по остаточному принципу для крупномасштабных данных", "metadata": {"authors": ["2464614", "1931349", "37514286"], "year": 2016, "cited_by": ["82dba43899b5dcef15edb6290f844488a3a676a8", "f25d6a82ae0afeb871203fc73cdcb5e187a5790e"], "references": ["09a35fbc5d0a002102a00dad3cf16b67f7d6d694", "2fdee22266d58ae4e891711208106ca46c8e2778", "41809d7fc7c41cf4d0afd5823034b5c0ac2949aa", "3885bbe9e9fa86828990636913d96b2f4e0ef2a5", "03fc7bf4b4972a425c9508e71804b3c37eb57b09", "05634cabe22b43fe1f0da1a0b0b2f116bffa3324", "0c7f52c753a65ceaf3755e20b906ffd0c05c994a", "2b726b240fb75e459eacc8a6916a26a93373088f", "28bd46aff7451166970b46d0639bfddb013a1c7c", "09fe132cd174935546e217bd91b76b7bfd6533d3"]}, "processed_text": "обобщённый векторный квантование остаточный принцип крупномасштабный данные"}
{"_id": "98c47fc9d5400b7ec90b2e5172635949e65a0b66", "text": "Интеллектуальная Система Управления нагрузкой с Интеграцией Возобновляемых Источников Энергии для Умных Домов", "metadata": {"authors": ["1685054", "1758125", "3289780", "1786763", "1789797", "2070613", "2363055"], "year": 2017, "cited_by": ["fc42a5ece51c3f816dbbc32fb473a55367d5f9d0", "115e60da29fa865b7611ce8ce0b41c66fed2925b", "c6d713a79c9b34df244871b2dccd68bbe9350209", "bb1b6b00a614b5f58e9b6668cf36384a191bc377", "e5d2d46ffcd452c0d0e2e11d62b8916b745fb267", "034bf1c6fb4a0f1b5b92d962b4f289ecc68f5a29", "14169e3982f61b2178b42311209cd5df46ce08e4", "8131aafe6138eba092881348e4de54c86e087e16", "8bcb6996765089c27cd19ac8fd2bfe2208730465", "3e5e727449e21908c84ebe478afb78245e32ddb5", "5adbbdd4a81fb5ec9a6af4edd8dece3c8c06aadd", "4bab283ca4895889370a8b796a550de97f444c4a", "84f19b9343d87f30bba41bdebdf3a7f90a19fdce", "160345d1dc49630e8bf9d9a8ee45f94540fb4faf", "b380a6eac4d29521a7cadab23cf33e06387f328c", "0287fede13259cc827679d821ed8c21b22626c76", "cadf0950b7f9ac2a8913c032028bddf0228fbcfa", "049fb4818c287b570d15d54a4b1426c7ebf75a63", "0a87415120a90c9f1f0ae114b5fa104f1ad29016", "8b0cb3c9ec51af259d8e4755df86dd979a7b4738", "56c487248573c4aa1194f514cdea60ea509d2f8d"], "references": ["7e085bab0fdd2ce2c4f1469f57f29e8f8c519abf", "6d20d506ff30c5aa2f71fb1d9200f1218acf0341", "8e8fdfc23d4606fedec11cf0ea53101aa656434e", "3b632a49509c0c46ab0e0c0780b2170524f7c0ac", "a011cd226e857e09ced15967843a0ed8ff1c35f9", "2b762f58716046dc873a258772aa7e478e172ce1", "b746fc72c0bd3f0a94145e375cc267e1128ba32e", "af954a7a097abaa828bc2b4080c2d8c1b6acb853", "a4c04523fe5e23e56db6bdeda10594996fdd2f86", "9dc75a1d5576efe8b2c28149f6efae010ccae8c2"]}, "processed_text": "интеллектуальный система управление нагрузка интеграция возобновлять источник энергия умный дом"}
{"_id": "6c442b5493a17926a9fa22e85a1f7a70b2f03230", "text": "Новая широкополосная волноводная антенна со встроенной подложкой, работающая в полумодовом/четвертьрежимном режимах, с частотой 60 ГГц", "metadata": {"authors": ["15868972", "1880669", "30964456", "3946988", "2797707", "9357397", "1718993"], "year": 2017, "cited_by": ["34b2057462309de693aa1443b6367b553df23ef4", "024bc2f2739e99bec807e4485414701ed188b91a", "b3eca269811de09cb23e79b12be468b2ed794b2b", "86827b746fe5ff6644e41aeef11d22f128efbf02", "10f7479356f95877ddc1167495ee365c0d7ce6f9", "1e6e0dfb712339ba2e22c820319cb4fd40726763"], "references": ["7d06a08c0d9c0919051f8e271a7a14cf213684ae", "28806468066446e8087232ad4d3dbf42144ae183", "323e6e75b2bdfaa940cf484809b1ca6b2821299a", "c1b4d4fe426362a3332688c356986b7d4138c58e", "a2e905bcb84a1f38523f0c95f29be05e2179019b", "d824e578c790f9f45c2878a5000eaad9021afede", "e955943ddd3b07f4912eee3e37dcae98afe245bf", "70ecbed38e284faaee20128566c2661ecbcbe92a", "aaaea1314570b6b692ff3cce3715ec9dada7c7aa", "7eb2c29ed9a7a65d9e4328fd7c91cc7698b7d3b1"]}, "processed_text": "новый широкополосный волноводный антенна встроить подложка работать полумодовый четвертьрежимный режим частота 60 ггц"}
{"_id": "503f81cce1b24f9625bf4a0633de9396023e3868", "text": "Многоуровневая тематическая классификация текстов в Википедии", "metadata": {"authors": ["48118464", "38639681", "1759982", "39263493", "40614800"], "year": 2016, "cited_by": [], "references": ["c6feb8e29e9416834f583d6c6e541ab2a9075f5a", "d4131c70103cacbc0350aeac651c93613850630a", "1e56ed3d2c855f848ffd91baa90f661772a279e1", "f926a0022e794485ec469124894aaaf29b087d70", "178286f3640f9c5c8c129799d6b00f313481d13a", "18257110908b685268f14facd74c5f4d8cae5bdc", "248380e4b3cc91a87bfb11d29fb95125496dd2c9", "67d4ed0252d0a88fa367f7529adbd8edc7f0df87", "c9b41a66017ca13333e8477a58ffdca2e3599b7e", "0fd8f2a37e81404492e9058fe89e48815cf33966"]}, "processed_text": "многоуровневый тематический классификация текст википедия"}
{"_id": "7de4eb8c11972a64236434cbe95af47b92d438b9", "text": "Оптимизированный генетическим алгоритмом MPPT-контроллер для фотоэлектрической системы с повышающим преобразователем постоянного тока в постоянный", "metadata": {"authors": ["31320242", "8410987", "31123574"], "year": 2017, "cited_by": [], "references": ["bbaac3ff0eb5b661faead2748313834c9cf771cf", "10f8c742e5882ba157073162b26a72ead1d84aaa", "11a3adfb1f6a7d700efff4f066e6d3ca07b393c3", "f8d26b729801cea6cd91acd6ef018167aebfb94c", "36001d4095e7da053df3740648e67071e13c9ada", "29f4f7555080f5c201363b5a20c45753d04c00ed", "765ebe13a46015d9b58281fe4858fb3088c63b52"]}, "processed_text": "оптимизировать генетический алгоритм mppt контроллер фотоэлектрический система повышать преобразователь постоянный ток постоянный"}
{"_id": "639910e5fa8d6f096a282847ca3e820550bbbe8e", "text": "Перчатка внимания запроса Перчатка потока внимания CNN Слой моделирования Выходной слой", "metadata": {"authors": ["2465139"], "year": 2017, "cited_by": [], "references": ["5171157c2c09a85ad6558c5c03da6b75b0cf5fe6", "0f3b8eba6e536215b6f6c727a009c8b44cda0a91", "033eb044ef6a865a53878397633876827b7a8f20", "1827de6fa9c9c1b3d647a9d707042e89cf94abf0", "03ff3f8f4d5a700fbe8f3a3e63a39523c29bb60f", "e94697b98b707f557436e025bdc8498fa261d3bc", "69ac740dc716f28b0e2ba38eabe7773be78cdcf8", "1f6ba0782862ec12a5ec6d7fb608523d55b0c6ba", "0825788b9b5a18e3dfea5b0af123b5e939a4f564", "6ac1962fd1f2b90da02c63c16af39a3c7a3e6df6"]}, "processed_text": "перчатка внимание запрос перчатка поток внимание cnn слой моделирование выходной слой"}
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{"_id": "e66ab9039b49b6dd0ecce124a71f1044750107d2", "text": "Синтез аппаратной системы на основе предметно-ориентированных языков", "metadata": {"authors": ["38903738", "34946720", "2195958", "1712987", "1726179", "1706327", "1795826", "1746638", "1748620"], "year": 2014, "cited_by": ["0cfafd5563f6f7ca54a5d44ed34dce59a50045ef", "bf7c2885a4ac9cb7aa32679ca85e5e8fa29f1a1b", "1b30e08325ca06be59f2f7824a6fdc1cb6ffe732", "661e32d5f06c40afa5aa4196ec30faa7a08799ea", "fc472ed4bd03db42759f6f84db814502223aefb1", "6750c76ab238cc9df10d3146a8c3dd2891b13976", "1fe1033a508caa43dea180f4faa135c57d931752", "8b965a947eabdc74abfb12a23696e5ee3900e2c6", "d0d56fe307eaf4247ea7becf854d795657a66598", "f2e8dab4896bf20a21f6ad7e899c3dbf317976c1", "075b11d4dfa18a839c5f34b9d1499f389e7706a9", "81905ccdfa002f8bc8824fadbc58d4e2153e4bfe", "1e53193313ddba5cdead558fc3f83abcfba7ce27", "10aebaa7908210985d48e745c9341ff3ab962f40", "01cca1fc2784f4b0f164ca5703ce793d0042649a", "02cbaa3d20fb44a09b2554f792c793ff22c3f636", "63af3b83550ed562f63e0e2beb5211f53100ab82", "c132975aae02372b0549415027e3f8d029268024", "ce35eec906e18ce8ac7b69014b41c6216620780b", "ee4ec47a6ef2c0a7fb80f22315bc18d75cc928ac", "af3f12b6bff0a40881d93446474f27411319be7e", "a203965febef687d87d9c2ee381d79fcb6a58cb4", "445816badfa1c2422ce4ab3a9b314cc007eac780", "4462d0d5ae29556a96f8def85a626896de822251", "21ff84b61b4c89def4ff9a61858429bbc2d35c22", "49e73b21c86b0698960f91ad81b3475ef2a1b7c3", "85d48a1220fa5d664640589d1168249b6fc5393b", "829d9598ca3aa8573194b7e85d899dd07f4b5039", "b2a30177a2f8365b6e91df469aaaadc83c4762c1", "e9bf383dd76f2df2ed84ea07949b63852557f174", "dbd81add5007054e2b37724191b4f3c57a05c23f", "1d7d523f6b05cb6fd2748f7d12938b7705d7c202", "4d33967a95e9678d6c29bfe016ce12072ee2e8e9", "96d670fef0d052055ef16004a412c08d02dbf6df"], "references": ["03a8c519c05adf66023a2f8a07ac7f1b2f4555e7", "3ef00888236449d23bc0a703282e8a76dd0431c6", "32ef8d891edde06cc01357fa5c4d1ab7fe631720", "0baafcd47f1bff2935f7f3d316b4341a769ab4d1", "0f69c6f1374cd3492c948fa07b94ed257c751db9", "13370f05561ac3adacbf00cc9660b041761bdcf8", "227085f47bf2c58e3eebdd0dab7bba5725c017b2", "20e29444a28a763a45f9d9860ec4cd210ea5f084", "760b4b50d35284d208aa109f38c602b37a3d9b9f", "907d2c011942a78bf6acff8e048f4185d53ff8f2"]}, "processed_text": "синтез аппаратный система основа предметно ориентировать язык"}
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{"_id": "2520c3d5d114974167561591a57f80e89650f862", "text": "Оценка и уточнение прямой позы", "metadata": {"authors": ["2015852"], "year": 2016, "cited_by": ["11a7baec5ddcc761903740065071c0581408433e", "21fd839828bdad8ed349683c9fdd1fc19ba84507"], "references": ["f23dd2e252fe7036cd3b38bb211e7c98c2f28125", "5da3c40f2668ab4e44c71e267c559fca273e12ca", "bd3ad6d81eefc3cc69dd922d8adae784ee663ea6", "6fdbbefe05648f6c0f027428ccff248b174798d5", "12099545a31155585a813b840ed711de9d83cace", "3f761339ebe2710169535c6fb414b40b0a660e8f", "44e6fdffac4e670bd2a96203628fcfb6c6816ad4", "7d2c0eee0aa8854ecf51e0122acc2aac41e6976a", "9e21d680d80cd41d67f5355fcad109e892d1fd0c", "35272ba334d3450fb33428b856658b77938d9fb8"]}, "processed_text": "оценка уточнение прямой поза"}
{"_id": "66ef0f611b2b5b22dd3eb13a144c0e7d3286623a", "text": "Использование контекстно-свободной грамматики для эффективного сжатия инвертированного индекса", "metadata": {"authors": ["7969749", "2065036", "3429876", "1692063", "50290343", "34582479", "34398012", "1700438"], "year": 2016, "cited_by": ["60f6a2bea6a43680c26b49518010ddd13eb7ab96", "66529b8ea157bcb695cf99472a142e4d5d4fa309", "0f4457041c60474831a51429cc84881cfa6fa0ca", "d08bde3612d3c24e99162d2b4bd5a861b6476fe0", "d7e62d28de4ca086815a2a81c699c4bdcf6156af", "828e0efcef0753fdfa6217cfbf28a029e20ad5d8", "a5f0db4532e5d409222bd8ea2e8dcd40458ead31"], "references": ["5c9037ffb38592aa2b8cb06e983e3e9d5f3ad43a", "51f53b98ccc60bf255ab653a11b1573ed3c5d815", "f2c4156c8fbcb1853ad730a92dd681d44aab7efa", "6ecb610a30e12c3c6424cd259ef1cf499cbe86f4", "958372abadf1a3bc05b47969c99d61eb0a8806a7", "d2be22e50067b6ac13ccbafb3f7ece2a96988c9d", "781a7c4dcf25e8210d64005c1c390fa348c5f238", "69b833b00efb680a5296dceea3106083427a9969", "7de983b8ecf446baaab6b9aba87fb749b96551f0", "409f067439ecbc2da37a03c9609034946393608e"]}, "processed_text": "использование контекстно свободный грамматика эффективный сжатие инвертировать индекс"}
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{"_id": "8653934b00dfb802a7dd066f8f52c5dd3b267831", "text": "Безопасное вычисление kNN на основе зашифрованных баз данных", "metadata": {"authors": ["24845349", "1723793", "1682429", "1718168"], "year": 2009, "cited_by": ["649c28ceff4ac6dbbf379640009198e854755f7e", "701051acf72cceb463fc485a6132e33a95a13f17", "dcfe0a2ed4736d795835cb26ebca8fbac33b99e6", "4510b38126c7761fb69b5dfc72ae98b07e60f733", "1dec4a7e0d295788b6a1c16bbb29f4e4241d05f7", "8759035c4866f3cb824fb8e551db3b0f395b27da", "dfb217b702987cf7d731893b202b6c54a65a2440", "391c2383da3daa5110c8831cab610e1b61b3d7eb", "21ba28d4a9bd6eebea0ba089376d5b7c9e61949e", "b861674751b06a85ed1b4865b4318cc7c1078a12", "0c65bb5b87c0e50e0f4d2af06a0d24d31e82bf91", "b463a4b4bdfc34a88c3846257947ad116c316902", "f260f633332528f83d95c4878c8d7f3c5eb23e1e", "611c28f72f9a928edcfe0c9b8c4ca77eb5d83eec", "886b11584efb69f4269bb7b27dd40851b6cd03fe", "c91d617b8f8a524c3f1448305d9615a497a617b9", "5cb8cf076efd2e6b99d22106a62506e1731ee59f", 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{"_id": "08eeaae7108e35a9639ef750a75132d0c71b2dd1", "text": "Прогнозирование связей с использованием контролируемого обучения ∗", "metadata": {"authors": ["1686755", "2603519", "1704449", "33067907"], "year": 2006, "cited_by": ["714151fd550553efb5597253d23c34446a14d8fe", "2fefb3c535d7db18d4134359b0a4d7280a92a15c", "0663fa4bb7e9d980d7759b3ed6f42431020715b5", "de9f151cd0a0f9bac8d1ab800ad56bb78c4a2cba", "d47e5c2dfb5dcd58e8d0f513807e5671e4607a35", "6c68f1dae168b86c0843c562794d46c088a6d6ce", "93b8c7b39c2e7c5d7ea3949a308a40e9eb62b83d", "d30a81a7e846de280c34355f988cfb71c9bb07ba", "a2a0d1a9929a2703d17b474d2a886f591ca9511a", "4b8c6c272cba4f591d8853c34cdcc423b9b26bdc", "069814b2508f03655b0bf672cf15489ccd408309", "74ecb6b6b2ca9f49480a3c19fc2dfcfa6db5361f", "11c8a5e7d2e7b156679ee087e1c95682a209894a", "2368ccce0e3bc436321cd9b67dac46050a326ec8", "2710571c31f78522671596678eb91fe6213e8956", "0deabd71a8253b5dbb7d09bef0c89d67e3765967", "34967bbc70b8820f4f270b17dc834eb2f30faa30", 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{"_id": "f1256b20d202c73022d7a7f0151ba0010a074a06", "text": "Расширенное отслеживание объектов с использованием IMM-подхода для реальной системы слияния датчиков транспортного средства", "metadata": {"authors": ["47068323", "40702265", "2858514", "1802408", "40606270"], "year": 2017, "cited_by": ["71d1c31292a08b0591d624b546e9dc02799b93b5", "0d43d58c907d9c258277ea569bfcdce674cd8716", "8545e041cfa55418939ad982c740040d64eada47", "385c6994ace647307ca0d462bb736c5260df25ef"], "references": ["13a375a84a6c414b85477a401541d3e28db1e11a", "88c47574d0008190aa6dfe5ddc1f2758150963af", "ce8064b01e3e1422cd965189fb055f41ba9bb2dd", "420a94968bd8671c8071d9c735a095ee475d0b20", "747395da611fd739a7d753ffa6bbd1781daa8c04", "21cb56b2ab7223594c9ac10fd2a5af294c96e023", "035b6905cbfb2a258d78462e1debec289cc69789", "09b180237872345c19d98b7f4a53e7c734cbfc36", "7ffdee825d40add681be1ba94a09f205ff9bf27f", "3af25fa580f8df90a70ad91d349c0feacabda5f3"]}, "processed_text": "расширить отслеживание объект использование imm подход реальный система слияние датчик транспортный средство"}
{"_id": "ce00fc554965ea7b187dfa93292013f019d67d39", "text": "Матрицы с плоскими изогнутыми насечками (PFFN): новая широкополосная технология для многофункциональных активных электронных сканирующих матриц (AESAS).", "metadata": {"authors": ["48676646", "47607296", "32473719", "31308500", "50090307", "30633124", "48887484"], "year": 2016, "cited_by": [], "references": ["ff5cb99f14fd7f100e280e543ee61f7d90d576c1", "209929b05cee369ee000ae4ae4c2ec7d26cff197", "d176cc188e5c12dadf8f24aa524db4162a4857ed", "161cd409a78437df0ce56afe8a2cf53c125605d2", "8839b84e8432f6787d2281806430a65d39a94499", "6344553b3f2b0d21d49c01011902d486560730dc"]}, "processed_text": "матрица плоский изогнутый насечка pffn новый широкополосный технология многофункциональный активный электронный сканировать матрица aesas"}
{"_id": "6999766629d4103b9a00bc20a8e0df0c9d12d7da", "text": "Сравнительный анализ планирования работы процессора: FCFS, SJF и циклический анализ", "metadata": {"authors": ["52378294"], "year": 2016, "cited_by": ["b6b82dfda1a021020c0eb72e53c9b30a47c54a42", "1984aba0214d81b263ce2d6a8c1aed8ab2921073", "f17051e3e2f83c9a5bdfc0062b51264d20ef1e55", "7814c6708e71e2bcfedd71fbd42a1d960e569f5f"], "references": ["71a0f98b59792070b7005f89d34ccf56e40badf0", "6f6ceae9cc9366b309f772c938cd19506dc22dee", "d49aa72f9b7db6c8f9287aeb6ff1625fc444f37d", "55ea3159ad29400b70313a6b66bc1cf990d03876", "2a1868fb72beb4ffd439854d0734360cc3755200"]}, "processed_text": "сравнительный анализ планирование работа процессор fcfs sjf циклический анализ"}
{"_id": "7ac01e727c60f0c64e00c7207d432ff2138d7b3f", "text": "Моделирование взаимозависимости критической инфраструктуры: использование графических моделей для оценки уязвимости интеллектуальных энергосистем и SCADA-сетей", "metadata": {"authors": ["2725144", "1791217"], "year": 2011, "cited_by": ["7354214e4269870cad8251154c457df02eee6390", "d4cc61a3050df52d64041b78bb3359bd91ceba7e", "adeb0b68f984e810389ef8dfde21dd0b169aa014", "1cd6c9d0785c67141371b0f846cc12432754689e", "369ecc3a4aae37d530a301aafc6ddd7148bf3ea2", "dcda045181f18d3653941c16c9a8446c4f490480", "cbb32b6f0b6fc764a32f6530a5b491e43d0306a0", "656c5a7edee11aab0649c33af3c5416c3492b6ea", "1884f991e1d81a71efacf2b5cde6303dc537900c", "b1995b2a9945f5de7debb64d654ba0a1b766275d", "2e19d7013ffcc50a54b62e4de45be0cb95d1ac0a", "54b2eef194450aaeda00af30ce386a6ba9ead35a", "6f51b5c71c8934de79150576b0fc76fcf569e8c2", "d8945f63bca42776b95e19616c9eca7ab1aa654a"], "references": ["fbba7a4e8917c63ebd3224584b90bef9e0b36a1b", "cc1935a62b7ee125804ac1ba196d76ab031c3b69", "80cd97c2c4d0b3db7f99c4642dd584b90604de25", "9b90cb4aea40677494e4a3913878e355c4ae56e8", "2628a4ab8be64bdc71d6cf9d537586d28053db86", "5b585ed06da20f27c109b2ad688eaf51a5dad7c4", "5c659b31a166255328fcfd05f4155881468fe444", "afc35593c13e32549f88e80632b8fb1d0821f38c", "e6d381bcc01a4665ef3696eb207e068be977b94d", "05d6e0185bcb48d396fe778ceedb2078e37e72ef"]}, "processed_text": "моделирование взаимозависимость критический инфраструктура использование графический модель оценка уязвимость интеллектуальный энергосистема scada сеть"}
{"_id": "78b6cbcceca106c039c9dc2d757376956882ac64", "text": "Contextlot: На пути к обеспечению контекстуальной целостности приложений IoT-платформ", "metadata": {"authors": ["12488214", "39645110", "1705047", "37407858", "35064352", "3895596", "1704708"], "year": 2017, "cited_by": ["226fde179ea3e5fe968e73101413bc983288e97a", "5152f79d0c80186690947de4704a51b22852d3c9", "9fb600cd6840490b4c58ba11db19d6ef55e332dc", "97d11686d914163874e62213ab954d345171b124", "1fe3c451b28a595624202d4e9cce4cc681c5594a", "97855989936ed45485f15e470f8c70a8a3a1e93c", "8440ff95193e4d23637d4b82db34628e64cc52e5", "354a89cada16c0b968f454ca6d20a20ab5a27e39", "969b19e37401932c21c15ee8fac1d202167758c2", "41d175578dcef123bceb9fb5ebf406dcd34f93f7", "34d7cb20bde1550c44c955ff11e106257c4c32d5", "e2d5b140c0508df3e2faad95eccfd8f7a874644e", "0ac137b1d4b8b4eb8c3a49259f34aceac6e58df5", "ebd4d44550e2819442e1836d8fc60bed637ce9d1", "23d0ac01fbced6169a96fec7e71074a42cb1f17f", "ddaf0c91111274a1ee5d097608e2d70b115966e6", "d34d3f8b7ae6c101ac4b5252a018be163adf2d48", "c24e6c68d3c0156482ef8eb73e052c92f0da954a", "98b7499bc8c38e5ab0d272c77b798fe5fed98ae2", "5469563cc64a13dbb91f4663098454ace7e1230b", "383061c39d9835d24d9bddb6bf11f2cdd11a23f2", "d7d0c47ca431e072a47d02011f2ce4c2e8683e93", "d3281d7a3398c76908ba195e8bd210cd82c994a8", "9d9f6c73e170efd1e58ca03de141d00bb20c8547", "39e7d1e0a89fe3105619eed6e84d2be6dafe5198", "5179759df98dfd30bd0fde3ce77d1b04230a88bd", "ed57f6e548badbca81c3d6e6640f1c458219b028", "1ab23091ad787029a229fe06a1d428aa87332dd2", "f46b52acb7cfceefeda60515bdabdf148cb5e4ba", "61c0c11fc9f8ad3565cdbab2e0d6b8747307d070", "3ca6f8cb1fcf9aca318da27797613b8d8e31a387", "da7f58eef3aeb6283aea13e7c18175156669454f", "9727206903eb40d4fa42606711bad3402f2ba9aa", "1ccf8cf7ec6e234cedfca72ce804ad5d55d3426e", "9b2a3cad73b2c086220ea9e4b82e059e4e65aa79", "957545d4aca815af01befe7b611ee1938c79f463", "225ca5eab75da83c80b7499db99018670be624ef", "ee362a65f81e78fe161f704912f89a1f3f3ffa20", "43372d5ced7e03e166416137b68c02b5460d73e1", "aea17334634be24f473f251c7fd80e54725156fa", "789b14a8ddb58dc947f05e24922d3e9bbc35a632", "32067fd66db125407ac709bae8a6c5f860efc7f2"], "references": ["827a666bc0f5072bbd977808d77af11a3da0a16b", "9e5db350ba34f2b4c662cdea7acb6e906484ada9", "6697bd267ccf363bc1b8ab7cb971b880495ff3f1", "dcddbe6e0bb64d4792610d08bae06f6c11aec0c7", "16d53aec6fe8f4fb08a956208cfec4cabfa6ece1", "7f9bbe985ccf6c16b6ef60ccb9ef04e4219b54cb", "4a4c0cfc26020d519679a98fe683fce6aab1eefa", "8e9d4966d49ebd648d520e25128bb03383f6ae22", "034b8a0b698036b210f53ce0290fb1bc13c7f1db", "537f16973900fbf4e559d64113711d35bf7ca4a2"]}, "processed_text": "contextlot путь обеспечение контекстуальный целостность приложение iot платформа"}
{"_id": "689f8d21021c0c9b9678d5a7903f9e9442380113", "text": "О дифференциальной конфиденциальности выборки Томпсона с гауссовым предварительным", "metadata": {"authors": ["1727354", "1720480"], "year": 2018, "cited_by": [], "references": ["691d77596c24d1c100a958c444eeb0ce451c302b", "35009a365220fa1369b03d389bb3dd58dcc2ba5c", "1a3c1e19813c5e9d569323f861282a0d2e7cea68", "46478d9459c7390861a190cae632a3d005b9b7e6", "e5ab8c2c656dc4ffcde58266ad36409d80ae147d", "815d4166652c247150e904fd48630aa362aeb2f6", "712a97a28124cf463c221e8ead8db1c057ef3215", "1b3c86ad6c149941750d97bd72b6b0122c1d8b5e"]}, "processed_text": "дифференциальный конфиденциальность выборка томпсон гауссов предварительный"}
{"_id": "725ed843566051638d023ebfdb0311def12cba2a", "text": "“Mask-Bot 2i”: Активная настраиваемая роботизированная голова со сменным лицом", "metadata": {"authors": ["38301967", "1747304", "47433186", "1704474"], "year": 2012, "cited_by": ["d9ebdd038b1a81f8e3d31d51c3b29be9337f7958", "ec765153ff2436def3b402938d5fee4e5ba91c8e", "59a7d5c1b6433d98f3f8815313e43197601ff1ae", "19dfac5507f9fe48ceaa01c46cf9feb99272b1e2", "5813a9c0799d47232b953e35c9ee0ace5e8297cd", "c6e2edb79e9763edafcf052514851870ec8643a6", "df6216785f64c2c191df4d07012cc1a9f339cc26", "14c821b06fa328aefeed0de29db6fea8e43acf6e", "9ca00d3583bbf1e09f5bb3737c016e3a44cb5de9"], "references": ["8f2b9baf84b9ad2d43fb923c0584221d3e87119f", "3963ab4a07f3084d685a5970e852056c8557c8da", "5046a621f1c344531ed4251828d1a2af8d8dc18f", "c4a2cd5ec81cdfd894c9a20d4ffb8cda637aab1f", "3f97f1351c6276a1d2912fcd79accaa8b3ce3afa", "11291b24e7ef097593f7960d66a5863a97f996aa", "02d8fa754908163bfba502a33e08c0c0567d0e2a", "8449048b5547a0888d0471b3771ba251de50b54e", "b1914c55ec9d21588c35dbf6a85f2d9631bb94cf", "05d63eb82662965127e9d98576a10810a5ee8e87"]}, "processed_text": "mask bot 2i активный настраивать роботизированный голова сменный лицо"}
{"_id": "18422ae57ec0318fb4c200fdcf7c6e145208d792", "text": "Визуальное отслеживание на основе трансферного обучения с регрессией гауссовых процессов", "metadata": {"authors": ["2748226", "1805398", "40506509", "1757173"], "year": 2014, "cited_by": ["20c56d83b4057b318e8b4d043b56287c92d52d96", "e2f994059b831d4b752a5e8131ccee250ca56ffb", "8046cfa1c834f966cfc88aa3dca56fb828f241d0", "ceafe1d572f018f4fa7880aea738a67299e8b9c3", "157b2e8327730ff3642e2da2398febbf55fe6ac4", "4dc0fdee907fd1a9c7ed29132fe9f89a2ff9cd5b", "13d8bee265799755c20b0a9e77fbc34d506dc7ab", "928699568191e535782fea207e39b8fd69517587", "62ae39a2ef10c08c8bcdc10a3ad36c4a1d10f654", "570ef5fb2c7205e6b7b43fb25f2bb44595f4dce0", "6b0422cb93bb3426ab480ffe2009ab16f5ee22ca", "2f11b3443a3ad8e23b37abd649494efea7e51348", "d11234a6776b1cd62c461a1cf3b7a544e1d0c2d1", "241e231fe8f17d876b9a1c39bbc110208898fbfd", "db39754bde43c5555d7086261d1a6fd55af7de06", "ef8c190afe11b0a73e1b3f1a989ec70e7bfd444d", "72212de87b7ade0524048a0dda4fc0afb01590a6", 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{"_id": "53a124b727d34c56ff3fe335c24ff8ec975516be", "text": "Отслеживание на основе модели 6-DOF с помощью регрессии координат объекта", "metadata": {"authors": ["2903785", "37615882", "3331321", "2952883", "2845695", "1756036"], "year": 2014, "cited_by": ["26a5b03b8584541776e129a48770b76bfc9a92a8", "a6a372baf763cfef7c438b5ff73ea55baad49e49", "142a799aac35f3b47df9fbfdc7547ddbebba0a91", "2fdecb9d4ca12e046d8d66b00b93b449ef1d7eec", "e85b25b092e6d7f5cd372338feb3126706b7c3f0", "59255f2c997ec1095da3a151fa73089b14eb7b3d", "ae5eed242ffec87c5fb82cd2b112304f76410d41", "5b0f9417de6b616199c6bd15b3ca552d46973de8", "0a59fbc6cf2793b9db8e9a53f476e6965bb363ce", "8c2194e6348f661088f2b2083778a153ff46dbc2", "982d8ffb2a52528fe5ed96075f86a817cba1040d", "4037f6ca370877104c4fe5b16c8e1a01b00b8395", "e1a7cd087e5b7b0ee4c65f9e5678029e273e075d", "d2373c66d84be650608ae7134725cdc98f78ac06", "2a18a154c494d0cffe5facc117027ee0f7b1acad", "c4325477a8f42eb05cf6b688b615dcf4d35074fb", "1ae662e1b326213a8afe4947374d7f3f749c4668", "2a7ad528a918bf227287d297553766a5f913d8ad", "74c4b1057f5b8a9bda0906806de5ee7a19614928", "1f684ada4acbbb734a9096bf16fbea707861a936", "37ec84a8722860c9b2360f5b757662f385fd5051", "504041c230e2852fb878d547dccca675ff44870f", "469da80e643901859bfd18ff43c0770af9d05317", "87d5b53580ca5f77ccc3ff157337ef3456308943", "10245b838b4764777ae4b0dbcb417a54e31c8c1b", "a325138d5c4a6e21c1e6c5aced579a60bd3d9196", "4272fc5ec1cd0b5c978271567c23f60330d4daa9", "0e472bad9f0a63ac92a008d69aa4657d69edd5f9", "df2db99b871947f1a2b79d28e28cf153acc24c71"], "references": ["273177de2a8007ed877c0f788a68ffb203470813", "2dcfc3c4e8680374ec3b1e81d1cf6cff84a8dd06", "dd0512e5d0b77563b1daa28dff8c363e2108070d", "d6002a6cc8b5fc2218754aed970aac91c8d8e7e9", "289b94331d5bd1db7db112fcafac1a636bde5681", "bb2fd6256772b92ea6fa0a49ab46cf02b763f4d5", "9c5a0951cea300222834497c8e12ac2be99cd11e", "004f5f1a657aac03b4983b57ea1160266c0df141", "0243cc5b1f6184dae12596e0a72398034f212047", "036bbab00ae5d1f34628b4e42a95f9bbeadca19d"]}, "processed_text": "отслеживание основа модель 6 dof помощь регрессия координата объект"}
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{"_id": "ebebd7a0e288d137f1e4e579dd7f9f510d76497e", "text": "Понимание роли самоуважения, сострадания к себе и страха перед состраданием к себе в патологии расстройств пищевого поведения: обследование студенток и пациенток с расстройствами пищевого поведения.", "metadata": {"authors": ["4120460", "6346712", "5744417"], "year": 2014, "cited_by": ["38e8e473b6c123210a4832f538fe8212ee9d7209", "59b5b9defaa941bbea8d906a6051d7a99e4736b8", "b290cf8f32d364a6ddd00dfb6b6f6f031155ab34", "aa66f9fdf3d53ba7aabc2698783e07a6bcaea0e1", "ee76b78aa4628fba31a648b3883050d5b95180fa", "e73d0ea79d36f2b0e8b09bc68325e89be971acf4", "64a88ed85122c550baba8c17d48875d195a00b3f", "d32a2744bdef70ee3aba2d761e3ff94064381ed6", "dd3352edaf41ea31f18ca1612875fed626f09bf7", "201ad86b2a0ea1d0b0ddd935b7e3e9f0ffafe785", "21671eac9033d4ec89c73fef6ae1b8af3d19ed4f", "397e7f7b7f78ce42b1ed7f800c24baed7c6dbd32"], "references": ["404f155cad16bfc5cf27db980a7ff34361d0a5e0", "d7f6446205d8c30711d9135df7719ce0a9a45d32", "dfc6d9c9e5b6f6ab55ae9b654bbb4b91c49038fc", "3dcabad83131ba6107c40d0f92114bfd19accb89", "9f8c0e5d856acfc4148e3a7c24796b4d070614cc", "32fb3a63ef554e258eaf792ebb7519390b47017e", "53f8f1cd2d209b04e7009cedd67a3abb5af81bf9", "248a9c22adf5a1bb48b11275101a9f95877008d4", "56a919938ba183b63d9c0238f1723c4d3c4b9772", "18de7301a5f3c42ba3e27aa06b2cbd0e667fa5cc"]}, "processed_text": "понимание роль самоуважение сострадание страх сострадание патология расстройство пищевой поведение обследование студентка пациентка расстройство пищевой поведение"}
{"_id": "c8e1dbd7590386a9060adc51f70a7bf44de01841", "text": "Разработка, внедрение и анализ производительности высокоэффективных алгоритмов извлечения ключей AES при атаках по побочным каналам, основанным на доступе к кэшу", "metadata": {"authors": ["3268033", "48902820", "2581401", "1773200"], "year": 2017, "cited_by": ["d912789eb79055ef92bc9bc6604dde3ca4f7fe63", "8c296160d186f5f6069617ee65f24a7571ac4dbd"], "references": ["c569925bc8972c2c8a640a57513de6c904981d54", "b39bb7689609760b928143e48314d415a545726e", "8feadddc84f329aa1d893091a9040b426850c727", "c8f6a8f081f49325eb97600eca05620887092d2c", "11c6fddeff9e2f95c8cf238ea9f12f8ffae7cf8c", "148d1734e803897498eab6ea902893e965fb6b00", "4c546ee67a38355fbd91fce26bfc3c6ff2e7e048", "0a7f09660ff5d147dd068b3facb64e06ea8ee010", "afd02ebc331bf2ff9fdb2785fec5a27bb6c69cad", "069223169b9479f614b1367bc3ee00094a3d64d6"]}, "processed_text": "разработка внедрение анализ производительность высокоэффективный алгоритм извлечение ключ aes атака побочный канал основать доступ кэш"}
{"_id": "d5997a0d13420e5557c077f9e44205a27bcd1fd2", "text": "Конструкция маломощного и высокоскоростного КМОП-компаратора для применения в аналого-цифровых преобразователях", "metadata": {"authors": [], "year": 2013, "cited_by": ["c7b480a09275d0669b019f2cbba6695ba36cf524", "aa4ca5c9501b064fe78c6529fca1e1f858ad2af2", "bee28826d089a042e654cfe4cf54cbb33d76da8d", "2ed20eb2524f3ad91cd5b5a25fcd8922222c366c", "7bc1c46f4adcc05356653174b07454b1568de1be", "866c093ac04dc69612f27035ac2fba070299dd58", "e70e6dcf5fdeca754cb28aa96377171c5ca2f331", "89548b58817f20ab20963363851219254f82d7ef", "7de2cb38c69e7397ca5cc016f647aa766a192294", "a416e7abc65cc8950eaad0b760e55ccfaeea7a4c", "3fd81eb571f36c7bad1c3281399ccd5c471a5dfb", "dc7f6f08c448725483f3f9d106a9e0f779aa95c0", "9156f1d7ce31674df74e1db5ab469456c095679e", "b99379c6d9e1198dd57660edc2dd4e095cddc96e", "6a5693c8857963da88355bf6780df8c143f207c6"], "references": ["936526a41385050b0b681addbd20b25fad4b5cb5", "e477810eb2fef42f297116fe518c8efb4b701348", "63b36a8e2007925e48d7c2ece4fea3cb45342e7b", "584688e2c76d7170541f4cb37a5998508ac11d7e", "3f8e57289bb81f62532d0dd87ad45dd292a7af9f", "a96c0bfb7f82e81fc96dd97c18048fd29286bf93", "b94a449efcafe2e50ba88d3ac339e65799df695e", "d2dc2bab973a14f7c58af971949e3902fb14d6e5", "918d31e31bde8b979e432176c8eef62158fba48a", "86ffe2b63735ef681da48d2cf1a60ae353ed54ea"]}, "processed_text": "конструкция маломощный высокоскоростной кмоп компаратор применение аналый цифровой преобразователь"}
{"_id": "725f8182eac9bd6f9fa428ba90f43cbce891ac78", "text": "Улучшено определение ключевых слов на основе моделей ключевых слов/ мусора", "metadata": {"authors": ["1744248", "50550053", "9303726", "2667341"], "year": 2016, "cited_by": [], "references": ["c4756dcc7afc2f09d61e6e4cf2199d9f6dd695cc", "9f383a2f24cf2d96420b33a95060d91771c661e7", "501a815f7282a7996f4225d97f9c183398dbfedc", "a9cca770cd9b5dec48e3ba73be550dd92124a771", "7cb16aca4d408552f5841410bccc3fe9a5ed2ae8", "3dea29c2c398d96b4880f8322b72859f3b23f020", "8f4c9d62482eb7989cba846c223b3a1ec098949c", "1588396b65ecd7b7c075a30cecc0fe2fd1c574e3"]}, "processed_text": "улучшить определение ключевой слово основа модель ключевой слово мусор"}
{"_id": "52d4649f2840e410b5a6681f094dab5e7d3e1db0", "text": "Синтез графической текстуры для сверхразрешения одного изображения", "metadata": {"authors": ["1937719"], "year": 2017, "cited_by": [], "references": ["29053c148bf3dba969709bc96247e527e7b479f5", "6434b7610aa9e7c37fce2258ab459fa99a631748", "a21bb8ddfe448e890871e248e196dc0f56000d3a", "00613d972bf43f9f0cb144065909560bb3cf981a", "2b499bf7d1e456e7a0df245ae39061729c6b7885", "3c5c3e264e238fe1b76cfe528a0ef26b97f7309b", "f4049154fd12b9f795dfc6619fa0d221b5107a88", "17e9d3ba861db8a6d323e1410fe5ca0986d5ad6a", "03b7c6e65d43026d4ae078c93307f790b31ea74b", "356827905c70ef763e3aa373f966fe6d8cf753f9"]}, "processed_text": "синтез графический текстура сверхразрешение изображение"}
{"_id": "0c8a029180e8ee5a7a8c886738576b12d3f6530d", "text": "Непрерывное внедрение в Facebook и OANDA", "metadata": {"authors": ["2526663", "40406888", "32762304", "1725469", "2945507", "1696433"], "year": 2016, "cited_by": ["2d921812a5959699df2ccf0a318a6332f7744b25", "29985bdfb91a9de751fd67f49147c793da5b25d4", "b6ce7e53e7b3c30a0b651fe3794a36c8ea786153", "57e4a6d77c2b2135d377925262573c7c34b8d4d9", "343b631b96fa21ec138be629500645db9cbff249", "efa5a59219ead87c0974fecdf28b4d22ce47db87", "ae2fa258472285bae0deaacb7be7d3dec2d729c9", "80c36f75e24f771d4284d3dbc1f6fd278d25a7cd", "04494499b8846b26738d7abdf67a3d5817f95164", "3e9cf6893ddb6069f4c7e254e4e809f9b826ac8e", "0f5c511451e987d3103f620f9e6f1b54e1a19197", "cefb4cc8e6b030b4e1013131202b096fe97c2df7", "11a9070896114ec0e8e0d42efb4865613bf166d0", "c5e92512622ca261ce64272f8476de8e6fa28342", "1b6a72cbc4e065e820eb2433860beccbafe270f1", "b0f0b46d573dcfb3300b6a6681eedca36051ea5a", "09ba1354e603bd1b92045f4f6458eadc3662842c", "cb310e5af54064a524b339473c72a0998697f31d", "2a9b43cbb30e7ea7105a96273ee76f3a7759c2ed", "3c306d5782e22aa84335601809fe5ad4d89b2170", "e07c0071e289e45892f844a0316cfd78371da554", "976561f1629bad578c6120fdefdcf774493d3dc7", "aabf10046be3e08132462ae1f0ee99ec6c0c3c16", "55b051ed153a84fdc0972468c56f7591a46ba80d", "e25bd2251a3c15c57995efa1b011057a34fb875a", "ddf3c9d9eb9bb7eca744502b6a1137803eb4b5c2", "a9eea7e9fe300b9142099abf66520f18b36ee8bf", "09aa58db1e75062b654f7401952787de06994c0d", "99e570d39df5ed4470a8762e6dda8ed9c9a225da", "17815bc1d9e92b0ab0b52a6aeada36acecccca77", "8774b2da00b84809879b46c1cc5aa7ec278d091e", "65d9b3eba883a5732090334262fcb1c0ab9b4e82", "a520dc4d6d3a2301285aa4f6defbf438bf6509ab", "92d6baf75a3c893e933e4c7a679fd4fc2d02bf13"], "references": ["cbce35eedcde3ef152bde75950fbc7ef4c6717b2", "b94e246b151cfd08a276a5302b804618dd27c218", "2d1e5e007a1598c6beda988b76e30b3d803ec84f", "4ef336dc70511a5a1eb2d806c5f076936e2403fa", "1832d00dd1e710382fa9466146de30fc75f8f310", "db8fe6da397c09c0baccac1598b3ee6ee938fc3a", "bcb900171580f749756a370dbc8a687a0be68168", "3775f8fd3f75e13072b54de00813d624dc326f97", "ae65400c875bd40ae781213b4cdf7072366f411b", "44bf0dddd81ff121cb70006c3ddd2c480a180db8"]}, "processed_text": "непрерывный внедрение facebook oanda"}
{"_id": "951450392f1e08b4dc96d814754a90f61d6151ae", "text": "Антропоморфная, гибкая и легкая система с двумя рычагами для управления воздушным пространством", "metadata": {"authors": ["2376447", "12301745", "1809416", "1937592", "1748298"], "year": 2017, "cited_by": ["520d9b63ea5465f7ccf0aedb683ad9132a71589d", "929f000d102afca65d5b56544cf5f936e3cfce09", "9a7a62d0cac7242ee22ff53c3ab15ee9ceae58e3", "c8707bffce07af829fbe976e3f5efeaddf4548c0", "ec0207b1ab4311cb657166dd95a6481448fb8471", "43782aa12377959a434110a50d48016a9e82f024", "0a018e1eb19081d5a5b6c15a908f615bf87f3b5f", "ceb54db54786be2b17f2784b9bbb1f618dcbf6fa"], "references": ["a90f7269f1d1d6e6ba274fae6eb063c7b10b6d3c", "5a46d05ae1130d87697b179aa23f3936609fb646", "fff73b4a46ac8d071155ffe30d708cf5cf3f2b53", "26c9d899c990e3c82f1a9df81bdac1cac99ca10c", "1f2ee7714c3018c1687f9b17f2bc889c5c017439", "3099b43109c6f9097051373af95f5e7c6adecc9c", "ee0b4c30ce7f5cb383d7a6798492e3a7627b6203", "55d7551c54edacef55902209d7fc0fddcf7f0c5c", "17cf7644d6d4884e752964500616ee51f3c000c4", "70b1f7f7304b968239de399f5e271d98e72594f4"]}, "processed_text": "антропоморфный гибкий лёгкий система рычаг управление воздушный пространство"}
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{"_id": "3d9180d48a6c19eb59f5ba6cef378720758b2ed3", "text": "Технология управления активными затворами с использованием паразитной индуктивности и емкости для минимизации потерь при переключении полупроводникового МОП-транзистора", "metadata": {"authors": ["25252664", "2553953"], "year": 2017, "cited_by": ["fc0a488dde8ee4704e8c141e5cc996a28f4e6fe5", "1113ab71806b2f35078d0a716e630bb3d24d28c3", "d1e971dcc954499497cc4f5ae8811ce748d5d037", "eec6cd08ce9ebd3175e5fa66564837543134f01e", "88116141d695d56baba501e53cca47cd4676d153", "28d453435e69cedbb177866c741f9ec74407816c", "98779a56a57d8a69ec21a9992dc06c9783280e19"], "references": ["ce6c27954cb36b9a6a2aa4c5ff3c83af8263bcac", "e95ba00ad02cf43d1ba1b10fba87340ec92a97cb", "1386d3cc5682594ba679b904734a1be93625fd7f", "bc297e9b443b2c679f9f4b23934e83f12fdb1c2e", "dc7f9e73e934f2bcfd8500a1b86f76a5303b83e2", "b6c930bdc4af7f5b3515d85b2c350941c019756c", "79609661ea9394580fffe3190d82178d54e3eeae", "7cdb4e78c722709a36c4dc62a410ffc7f98492d4", "1b6f948acb1c446572ca5a6e5bac7ca896940282", "eaae20268cdbc182e291bb2eeea1a2995819f50f"]}, "processed_text": "технология управление активный затвор использование паразитный индуктивность ёмкость минимизация потеря переключение полупроводниковый моп транзистор"}
{"_id": "d36e081ac6be39796e7cba0d0d813ea53974ec07", "text": "Anno: Графический инструмент для транскрипции и быстрого аннотирования рукописных документов.", "metadata": {"authors": ["41131693", "2668168", "3277474"], "year": 2018, "cited_by": [], "references": ["ae1acfa408fc8a99d2fd52c0b1755153f8afed92", "7cc0b9b35895ed981f5636b6d9f064bf1b1290f7", "af7417fdebb1d51e08f4b77111d6464fbaa9f6a5", "bbbbceb8c921171549d5fa32bac963a4f7eac814", "0ed8cb34e04df8f276d5e738d9e0b163f31dffa3", "4bb43cda63396d36a201f7404e665a58ec54e9ca", "ff193691ba5cdd3bbb3d831b76e01e85bf1fbbff", "10c33376547a8eec94b9929d865e01cb5872aa22", "42fb9950b796f5869fd887d1858219bda6782827", "84bfc9722a1e79e3192780d31f351abf69b333db"]}, "processed_text": "anno графический инструмент транскрипция быстрый аннотирование рукописный документ"}
{"_id": "419794ac69424b3cd66127c909dde325fe88c463", "text": "Система для анализа семантических изменений слов с течением времени", "metadata": {"authors": ["1774986", "1800354"], "year": 2014, "cited_by": ["dce5787dd248f4b2c304f98a91ff6cdbdeb211c7", "1b5825359215e0dba4eb41d2165f9fc885750dfb", "1f106d81731b6d99b43f567ae91cc1da749fdc91", "32a8295b35aa9a61a47d6276cce95cb8b3245e0b", "70a6b681fc12a3fcdc690485ff07fe971a527088", "32e259e14a363167db947020ff6a26d0353068da", "f3a23fc0fcaccbc5e0c04a35482b06c54a7d5618", "42825eeb5c0d3d4a4d4b6c0556b7b441eb3228dc", "daa0023d5cd2e8e652e0c8b39faf0fa8dddb2148", "4ec4da3a979612e07282da861c5ffaa9b9694e0a", "202e7495bdf139ef8f19704c66c954028ca3d894", "99f284d071f6db509b24567a5e27ec34d7d647a2", "554180fb2ff02c68a11f012a8fb1bf237a9ea5a7", "d5be4ee88b7a50e9c8c81de312046e482990fc77", "807dd08fa07aa796e9a74e058f19b605adf908e1", "5b602ffe4ee5676470aaeb437af7f68ba5f7ef73", "7d97e323bbcacac3d3b38fb4a945abc5d795d51a", "293350996154a2a5b0c893c0d15ce7431c21b5c8", "d63763f18bbc55d8d2e74e8addf2bc55d3c8268f", "170df400496bdc72b1482e499e4eddfc7ecf7179", "aad81f43c29ea06b902932fa79655e529dd40928", "15d35b7a008ecbc1ea0700f97119c940de534a1b", "7cce1e3718e4a06cc3825a30d4e37f1d0ba602c3", "9666d6cb879dba0d4f131dc7ce11b1faad84b4b4", "cc4fbdd3e7ab79a325ea71653143c30e997d6e2b", "f9f79c8e7216bc5389e3c8115eb8abfa18118c3b", "6c28fa958493007595780be3163a04247c8fa81c", "ab370db3fe0ee0cb272f13ebbb32894de90bec8d", "2e2abcd603f247ee635713b1c0e0bcedd63a2e85", "32d3c6db293c49d3f84e40d940f25c6f9b6f074d", "729b9e72aba785e8f550fd102e8442a04f3f9a0d", "0eef0dcf7daa1df2eddb4b6f1947827f5a289132", "815085a8daee6ad54b2be5c7b7f52847ebf6082e", "46a33394da26e868b34bee501e900289c5daac3c", "41962958ff44fe1cda3c88f22af95271fd772ef3", "4d8d03ce4ce9e934ce1beb33f82f10f83c26d446", "b8ab09eec328c0678f5c35c188b0460428e11f87"], "references": ["427d18ec02607f692bb1b3ed7fd40b5fed05aa85", "1140e33271b7e5b50ecc592903b9089cd15cfac2", "710b5c54c011377130f436d2531e6c1f89dd884f", "2cb9202f881e143fa5620faa05bc39212f0d3880", "8abece271d882c574d5207cca5b7f3575f4d85db", "1e849495765a6fecb51d57789f172e53bcc935ea", "5c8d05e27e36ebd64ee43fe1670262cdcc2123ba", "38e999fff9717403dee3d862fc97cffad5b9c36f", "728bbc615aececb184b07899d973fad62269dc21", "7081f848b87e5594527edb800fdfc1e9c976cf7e"]}, "processed_text": "система анализ семантический изменение слово течение время"}
{"_id": "26825e78a84242504048b39d0ba21c859e52dc46", "text": "Многослойный аннотированный корпус научных статей", "metadata": {"authors": ["3256126", "2178139", "3014320"], "year": 2016, "cited_by": ["385920180fca52d22b339bab23140e4234410356", "ab57d295665e48ed1e1b8d97916b6660dfe5b4c5", "b3bc73f031b9a493fd51af896679d550d3434f57", "5941eed5b0b4d4834fdc8b8f626f2154dfa786b7", "808e85c50815597ab2aa73e2fdb85e71892af37f", "31a2642fdea6d04fc435691ebe7c10f03dd8a8f1", "1b283ab966cb35f685179cd31ab4d151475dc9b8", "ce317bf22e193e776d041903b12f817b42b67000", "aff8ec694b55a42c861aeac9cbf8c121607b1f28", "2749facb2eab9dd7bc19b7b561f76a65f9524f97"], "references": ["5edb29b9d5f70b8f56fa9d8733c870b6337a3f5c", "3aa090f3254bcd7e127fab3d564e27ae7ea98519", "3334aa63b1a924d02e0db4e6e2ea59ee4224b1b5", "3612b052db3cdd6d80ea14fa258a834f193d1667", "f82d90b5b19db754bec5bf4354eaaf21e5e6d20e", "0d93ed75dde134a191d43a34f965d99943f2c54e", "3849bd90a2504669de190d1796486f02c9d32896", "5a4ec35ccc0ee062af80154cd5ea8d5965181b0e", "65a5111f1d619192226a4030136d5cd2bd6dd58b", "acfd0dad6ccc378dabe6483967290bc22df7eaff"]}, "processed_text": "многослойный аннотировать корпус научный стать"}
{"_id": "3547ac839d02f6efe3f6f76a8289738a22528442", "text": "Эффективное сопоставление строк: помощь в библиографическом поиске", "metadata": {"authors": ["1715952", "1932788"], "year": 1975, "cited_by": [], "references": ["44799559a1067e06b5a6bf052f8f10637707928f", "d153ab1f313363917bf0b459dbfd534d5e6b82a2", "6d7d62f02bc7dd1c82c961efb3c86e2c2a2a59da", "b1d7ea164774a84ca06dc227e456632df31dd8d9", "110b99487cbc9a0951ff868ed752100da2bdc66d", "869a90385b83f9d3d66692e41ef209291fc77ef8", "10a463bb00b44bdd3a8620f2bedb9e1564bfcf32", "4b84a90dcb6b5bab70e7d2285dae5259ed65ef37", "5cd332c9b253b9054318aa02d8ac5afc4791d637", "7970532dc583554818922954ba518577e22a3cae"]}, "processed_text": "эффективный сопоставление строка помощь библиографический поиск"}
{"_id": "89e9b7577e75ebf3887a0ddf401b199fea4f2148", "text": "Перспективы использования больших данных и проблемы в сетях нового поколения", "metadata": {"authors": ["40445820", "1939781", "7969314"], "year": 2018, "cited_by": [], "references": ["76f695955fa7ba6f3edff4a9cec28426f4e75f78", "72067d7f8cc87cfd782ac79bf7a0811e94b77ded", "d60c2ac5c7b48d979a32cd74f850d3e9bd771924", "225b1f3c395211978c0c930f4b81d2463f534f57", "115e17143f308fff555111ffb662283cfb8ca9a4", "6364b9610182038d08f0437dd39e73c643cc56b0", "96c124985d1eb4c5730259910c6837f1616b8f13", "8883f91ce117389e5c87eeb13eb1fd61b2249f60", "d5372cd68b463728ef846485a28f1c57c0966bbb", "f18329d62d51ac7045c1f7a657ddf03f10c0157b"]}, "processed_text": "перспектива использование больший данные проблема сеть новый поколение"}
{"_id": "20534da8c7ee7063cbb32620d53e7322f90be2e0", "text": "Первая демонстрация линий передачи 28 ГГц и 39 ГГц и антенн на стеклянных подложках для модулей 5G", "metadata": {"authors": ["30646438", "46718424", "2526581", "39869338", "2883972", "49040978", "1886078", "3189797", "9450966", "2340440"], "year": 2017, "cited_by": ["e1dbb600832210c8b6fc772f93e83ba59f1470ca", "c4b63b674a79f96782656feb2d4d00906bc0ea7e", "5176059bd83b24f4764c0357c1447c915bab0059", "6beafb8f985d829743a9bdcc83f49f5d7552fd18"], "references": ["8c79ce57f0ffe41a7db44cd956141d881641f833", "09dc808c3249bbacb28a1e7b9c234cb58ad7dab4", "b48ada3689d4973eccda3ecca372154ed6a08684", "bdec7ffbd15881626cdf5352a174cbfa3b6be61b", "76d7ddd030ef5ab4403a53caf2b46de89af71544", "c47eca2fdb30edcfaa0ce425442ab7579bf4dc05", "42cf4dd14f07cf34d5cad14fea5c691f31ab19ef", "b4076a3fcce794bc9cd1f42b39d2f39e632a2449", "1bb6b92e874bf7cab8748a9acbb71a8dcda9ec65", "4a97f8d83c5cc523110beb11913ea5fb2a4271fe"]}, "processed_text": "первый демонстрация линия передача 28 ггц 39 ггц антенна стеклянный подложка модуль 5g"}
{"_id": "1d8465c3f5aee1b7a790f6eeb44637343861ba47", "text": "На пути к автоматической настройке MapReduce на основе машинного обучения", "metadata": {"authors": ["3160525", "2999876", "2750402", "1776848"], "year": 2013, "cited_by": ["8e598e31568b88ce222be09e65e3564b1d55321b", "afd17de4155be2bf88cfa6035f34c1f116b1586b", "e19b1f2f40374773522cef49b32d29654b487ada", "26bee687ed11df3777aae3cb3a896355f9d0bfc9", "4d7f801099d287d3dd1548222760546b3de13d01", "ecb589ed4e1b10a2ef1926f67c636d27434e0e77", "b2d13782c23772aff8380b48e1d7e0dcc0c25ccd", "9c1ba2c29050ac2b629d1411b1eee24eb11f1b4e", "12482296ddb3ec88cd91f3b03ad74fd60e438bcb", "095733eeebe43c718f8f5d778a4caea6c5c67223", "b97793e54ad5ba3e65d87355299951ac57232f16", "bb328c94518bd994e3a5241cf0465d68153e32aa", "4774d507589892a2f2c840ce2989a17b3e837fa2", "d749e42d3567994faa9bce9ab97bea3474c71518", "576e49a8c7cfbce0b2668a932d1e4deee0016a5f", "5fc2f9335f6911862bb515fe14c0a48a797cdc89", "b3a3d7e1404bc429707579af8f696b18ed4c22fb", "621f48a5ec97552b97f3069bbfdb4752d4bcf4c3", "95e91ec1a59998351453b51844aa34ab9bd412a2", "74a62edceda3d0c1f5baf77618220289b0e16928", "af81fe942178d26017ae4d5d41621eeee18ae417", "50b99e3c12bd42a8697a037f3e4dda84abbda6b4", "fefec063f2dd67248570a98eae6701864efb65ad", "275c76fdc10c078c4cafc1f3c3e431dc47f4e425", "893e1cefb18da3c1972acb4250c966f3de3aedc6", "8d5a528a4828ebd7cc5a30c3d834b1a99e598f0a", "3d84f3e43358e8fad5386f5bf352d77286a655fa", "2cb44b4f31a102471781456b47a6e8a2be5a65a4", "a55a685d254caeeb4f071062d5910734f8135057", "ccc2c33f2cb3c70008f783fb80a427d1b9481bde", "5728467d5ca90df1fe7543ff09a3533845c4a623", "3e8160d32a43dcb28b5c18893c9af9d8e373dd75", "69b2f8482713be20b6025c01a475f6da6fddd15b", "3237988284481bcd75894f9cb4f4d43b6aa4b561", "2583c913ad2be00feb063a23f3735232e0ac0ece", "5de45784f9bfdf9e318f7a8c5ab4308cad603c1e", "24b5a87935a435182f902702676dbe8411a2ee82", "8988a9227b336f4eb18977f161f89f33cb9ade28", "d462f44246451afe480230fd9fafe3d18464f13b"], "references": ["4c241c0888533b21810dda5a7a00a8a224da1f72", "56b6dab85b0184208a060b4ccc5a41063f8b3edc", "1d27d04e8cef4d32cb4e022c9f493a40a019f59f", "4d730d7ea7f0c4d178bd098f33511077359a5fdd", "6b880d58b826074c49d0a38d0f9fb481e93c0acc", "6f53b29df21b331c28b51875ede5f4a765adba72", "214a0d9c93720aa8c3d10710bca8308e3f2618f5", "0f08e646f08b4f36c18fe36fed8e5ec35389b55b", "9ee6209432316baf6776838917e06bca4d874747", "366d02f9687a33b21079acc6d62ad755189a52f0"]}, "processed_text": "путь автоматический настройка mapreduce основа машинный обучение"}
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{"_id": "6f54a7933235ced5684e3bff18f7e5dc40510018", "text": "Недостающий элемент в комплексной аналитике: Низкая задержка, масштабируемое управление моделями и обслуживание с помощью Velox", "metadata": {"authors": ["50564124", "2740804", "30503077", "49404357", "3747964", "1712149", "38565890", "1694621"], "year": 2015, "cited_by": ["aa447f6462c7efe7f3cd9ded120637ceefcdc0ce", "60c1278fa4ded96ae14773966fd8c2cd3447244d", "92a8289691f23db41beff218cb4f0aad114047fc", "0f9c4c342a7db36db44c95da1906a9244066e265", "c733e4a14b51623120da9b4571b4409bc99ab0cd", "4ef862c9157ede9ff8cfbc80a612b6362dcb6e7c", "cff81b22995937e1bf9533c800b24209932e402a", "b3156132c5724995275a7f77f4442ff3f1f47c46", "781f63fc14e829e6891451c349d444085a14a1c1", "18c2d0b44a0c292ce76696bfe1dfd6839fe09ff9", "7de028e5c878b56057559bfbd57f1ce6482ec282", "ce01db3920a71d23573bbf38add7de56719d6f67", "850631f7f3b8f8f42d03ee16844919ea87c9a082", "6edc7103dd907a8a84ceb8a4bd775da3cccd9e98", "602aa4cec8a143a4c1fb96c368bbcb693909883b", "08e83c0458561a1cb55b50be3b20153cde6fbd09", "6ecae892fef17f11a67db5a0e9cd2834e3f3aa73", "ac11fc3acdf5233bda411dee6d72a424e0b33c4e", "a848cb36abe7e7a678670429f03aaeee644543e5", "093c3b389384812ea16f1ad18ce6c5f43c4f7106", "1e7c955cd4d4db7d9f701584d23cc76eaab46380", "76d9ab5822fce4d1eca85f9e816242dc632d88f4", "764e8c124355f150bc52299813f0fbe2a4e6473a", "0b86ab09a837281b2403fbd24b7f3aea3512dac5", "43f2e21f1029783b7d307e33a2f03bfdc88cff95", "b2014a42c9dee0b15941daf6bac9e1c1397102c4", "9d6ac16d4f2bc78648c9b66995721b04ff2e7462", "50ad84bdc3c7cd262ed22f360a37fef457550e25", "dcbcfaf9ef12c29a5120fc2eff57ab0634de4016", "8fae71adfe141d5075c0e70f9d3d908ebcfbcbdb", "41142d402a7ff8a38f1e778bf5b9c86175067167", "266d33fe8fc256d88570d745ea7532358c01aa38", "6555977f0d5f993e0bee7c2ec3d1fc819057da15", "5088b1ca95e4b3e988d30dadac20e8436f4a0c4e", "c6cc624eddb6e1e5471351d2ca13b6e8408e1b90", "1698bab369d6dfbe23ff712c96c55284d469cca1", "26e904298bda9bdc88faeba6021dfa89ac9c1d3b", "aef4f9a704832d654d776b79797b1219e8473377", "3e386ee9b2c54b2e36151233b87e27e97acc53cd", "e71f6ce292c307b95d4845bfcc542b9a08b3baa0", "6b6a5fe05f19bd4322a43b0f688b854db40a2fdd", "4f5281543eef3da4d5822bcec93123f40e43f480", "45cc47c1beaad4e08a85c7dfc69cb10913f824ed", "fd51bef5d4c12bb1fa49457e5a44fef0b8bc1295", "e30d1ea29c2a1607dc2eba324190b306bb86e13d", "a71bedcc71d743cf6a12de699f600260067a8b73", "c227903cce108631e613e789af538e925d29807e", "cc76a6b1097306365e7f6a5a176f5f5bca9ccf73", "34169ffa8ee40f39ae562061c78a46104422cc3b"], "references": ["390dd657f84160d064bc978a10eb9afb9cb9b071", "6036004db9238354c56efd1026f1365d43e6189a", "0783763baafa5cac38d880967f7c339c8fe6d61f", "7e209751ae6f0e861a7763d3d22533b39aabd7eb", "5c8bb027eb65b6d250a22e9b6db22853a552ac81", "1805e19e9fa6a4c140c531bc0dca8016ee75257b", "0ad8e89091eed09217e66adc98136126addc2619", "0558c94a094158ecd64f0d5014d3d9668054fb97", "341a08d1854b5ecf871bbb4c7833a435927abbda", "5f3f9223c5c9f896be099bc177929febad508407"]}, "processed_text": "недоставать элемент комплексный аналитик низкий задержка масштабировать управление модель обслуживание помощь velox"}
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{"_id": "e642d6014a5762128a28f85dae2228826e682974", "text": "Компактная двухдиапазонная антенна, оснащенная дополнительной метаповерхностью, нагруженной кольцевым резонатором", "metadata": {"authors": ["3803832", "17837057", "2367183", "1772115"], "year": 2017, "cited_by": ["80a477f2c5be7219a15bcdd10f1ae79bb56df232", "9fac5c2a11ecc90fd3b4b4dbd94015eae741d149"], "references": ["6933387f7c984f9819d3fcfab9b06905b537fbee", "1afe35b303e1900ea67898aecffbe55a62c39fb2", "c73482cbb07008080b1623ded3216aa3e657d694", "def57a4108d8f539c34ff0a25bf991a2803523c8", "53d63bbb47e88ca5647a2ecb0ff2de4b2fdca37c", "dde75bf73fa0037cbf586d89d698825bae2a4669", "4cfec3bac82676387af265f9667cd88a33a42e78", "f017d6284b6526790dca6bff0bb0495231534e2a", "812cec589ce9a612503b099cf0033ca5ff33a2c4", "c1037dbfd829159f42cb4d1e60da804adf000779"]}, "processed_text": "компактный двухдиапазонный антенна оснастить дополнительный метаповерхность нагрузить кольцевой резонатор"}
{"_id": "68da903b2237cd500b98f152dd851189cad1b344", "text": "Обнаружение теней от земли на потребительских фотографиях, сделанных на открытом воздухе", "metadata": {"authors": ["1727433", "1763086", "1779052"], "year": 2010, "cited_by": ["c88f2c5bd6f9745ee021181d1a3afd51c47cf167", "f24cee65c094c7acd1b6c3a89c891bf36fdef679", "0f6ffdf1fa3a2943616fdcf28093aa5f8139ebbd", "80dafed5259ee5fc64317e4714b8765f1cf16a9d", "085bc4de5588497c2285809ac729643963fcc96c", "f49c34afb817a5bb6d1e9952e59a65d9bbb8e1e5", "879de3fd53210ff74a96db3a53b695fec6a015ac", "3e80edfbc578652b7a62a44dda4b611170d741c9", "f35acbb0b2870e5735561196d246463aec8ae7aa", "ca847c3f512a329d451fbc63c51b09f4ee7ef412", "5baa96e8d0bac9096a33224a45c65695fd9af569", "27434a48e7e10b011c862c297d5c29110816ec5c", "89cb104657f24f6876848649ab71a48de0f74c5f", "236a06043bd17046b51908aec9278af09515292d", "10cf2f768290f935450b8d7908ec1a390769bbbc", "c2db182624de2297ac97a15727dab7292410228f", "2520c3d5d114974167561591a57f80e89650f862", 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{"_id": "0f10c6f57e7b640a2e89e94b5ca7d2b0d46d3925", "text": "Использование Контекстных Векторов На Основе WordNet Для Оценки Семантической Взаимосвязи Понятий", "metadata": {"authors": ["1726779", "2001885"], "year": 2006, "cited_by": ["d2cc5d0223f697f6a697316dafcbaa02af1b9221", "3e33aa394a3f51715f2090a8c59e82e144c59c15", "849c87f1f6e1eab6d46a4ee0d7c6053315bb90e7", "e8b0a33837e8ffda6bd95e8fa50d5b9745a729f7", "d15c954fe5cc54fc76ef6acb5cd4bf37ad5b1acd", "75981e04087cc473ed835c26cc12fe84a645e573", "ce6d7e463352c614e05a24849cefbc6126538864", "113790b671c5d071f90d931756bda3c275707fe0", "c9630a9fdbe0cdbd6dcc69cf3b23f641d30b6f3c", "a36648b2bde99d68a552376deae420d11d06ec55", "9c7b7c6756163dd90fbbd34416402a1adc7ecec5", "124d4fc6acf7250befbcfa792e80665e50d8a7f9", "0b1a5e7cf57dc4fade5e4d469b10234be822e982", "7c51c72b2502ce6a279d9fdff39c0e9c5215078b", "6e854f24f0a768d30833bb9db73f3f46ecae9f0e", "81d049ca6821eaaa878fb9667bdbb8a003f9ca65", "13d9d24ff2ba69de4cedcebd8f59371a5c1de7ed", 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{"_id": "3ba1dc8146e61d1635d511cc0357c63c85812e39", "text": "Новые технологические тренды в образовании: семь лет прогнозов и конвергенции", "metadata": {"authors": ["1754416", "2005169", "1909077", "47536080", "1717017", "2676173"], "year": 2011, "cited_by": ["67ba03927af16afc1abbcf2888e464a01bbe2b39", "eb14911ecc827b7490d1d7e74d479fd31944e8c5", "9ab3f16df52f119f0fa084b036bc282542eba7b9", "f022ec82f396c9873e0e3e9c7b0b0f78dfd75230", "69198dd4b115b5b988c2459c4e9ed93faf8b73ee", "252bf7aa4380abe1ab852df1ba20662dfa0049b2", "7b609b4bad78cc9625c98793df723f4c57c1c84c", "8d1f3563ec0062d561cb590bc69206e6d9302d68", "e098773583b0d467b086dfdef53336b3ec7221ff", "2a3d8e96e578c90447f72fc6886173efe46c4154", "f0ae71f5a5058bfe64ffa2ca8a3e813b0cf7157e", "fd28a381d483d936590ae01a6009e1e2e5d3362f", "40190e7465d41f1cec64496c86858e6a3e47374b", "bcb681870724ad30bbaa66c3ec07dd6638e39322", "313e3f052b004bce7d2ed59ac9a394b4f02574ab", "79a2fd6e9930ea9b3c0664511eb0fedae5922d22", "6ac828e3d5f770fd1208c10e7af66474dc495add", "56c1a617bdb11d07c6372d248b4c0153f25c0eb2", "b76088d26e2d7e56304df26f8edb368c72ce10b7", "039939b75c123d4461885a615dab376b429214bf", "de3dedb47f075c1b0c0638c4680881bac859e5d2", "a1e07fb5d2f97e2c3f1f2e51d37a74089d507295", "c7fd122cab49f9162dbb1e3916e35b75772ffdaa", "8b78425cceeb40a02650308564f418587349c08b", "3ad2d91c20b50b516734748da8efe7482a098c5a", "ab367390f2c4424d1592919b06143be50f2604b4", "76bec1e23773d8d798aeb3a2d38dffd14de9e54f", "e0f7cae09c9c96126d8ef223a39586bad3e7682a", "d588bfb109693795ad4d9e3d57fa3e13f649c903", "4ed00151157c6160b05db49ee349009c211639fa", "b28dd07c2c478d42ea618ede4db5d41a03180508", "3332923970d70807feae38e577071b6fd628d902", "a55e970740feb80c4508cb83f55b38652642a8af", "b4b9d743abd7b135f0b5832a6fe111ef73e5f619", "2ca20d07eb86343c49cab8d84bfb84da9edc8393", "a95340482acc777fca844393de5fe6ab51fedfa5", "33c0d57e77008a0719de08779b701c13cd1e4332", "224bf301d3f0f8ab2f28bfffcf2e6b15053366fe", "348769a3e1179a5571d8ecb86c6297f5d0d35ebc", "ee0939cf7d1a9d23ee10908721458066a030f2a4", "734947235172ad8b9fa725cfbf28dcd84f10b71d", "e5f5a53d2b378dace4499e93a6f90199faa17696", "fb3c18109b73a38ae1e4f03282e8c0282d6aa531", "cfedeab31748768cf610115e36586c00b1ea694c", "e88acd578b8e12ada9f40a014d6521fb688d9676", "170fe39e2eaaa023eb2f0ffe437146bfd3864f46", "cba9283d0e7773cf181bec73969f511215825e52", "1243c0e1d2b4ba20e9bd3221c85d33e867d65cd4", "4e2394269dd51af952ba9269f53a4a943bab561e", "d19398729a7838554e3300a1f1562bf8dc2c94a1", "7ea70d15abc16c88a0a4fa2788df5867647578a7", "adefbfe9428214e5fe31df0dd5cae099840e8bc3", "d59c3c5bbe10db442d37fcac80bed4fcd29ca7dd", "04fe36facc4a1b180dae2ece94d73bb5128eba0e", "2acf246ddab4fc879f00ca25112a0dc3d701546e", "a6fbaff45011cfcdd91b22d038f2a20f677f17d4", "04550afa3806d4774f9bd8abadd677298cee1094", "0f80198207d78a14e75b07bf95db5045b78cddf8", "c7b08353b3462073a7795d2fc875d5ce1840f57d", "1030818e49595ba9215916597755c5d8b2ba185f", "d5083647572808fcea765d4721c59d3a42e3980c", "1af07c986661e4515f0c4a43c26521ac50557f05", "11c77089b13d02cf069fa0c665474fe34239b858", "9405a3af8ba34c5d866a71959f1027de86561300", "9f56826e125416112ec41e5e6d44d084b11795f9", "bef8f610de891bc040c55ad12d2db929c346218d", "d318ef6db18a44abbbd0d77cfed677e51a6420d7", "48d252034ed75e2e1b24bd3770cda10b28b800c2", "3ff0ca872e4bc770d609990d365a6c8e3eb19cd9", "de075a153eb434ece05ba89975212763d278bdb2", "cba6cfdc080bb83d9733b770336ca9cc18f4cbce", "a559cd5ebedc69f4105ec0dae864570431d286b6", "3ac4324d76a1ba114949d26f708bc41d4dc52474", "e6975cd764f21edbfe8f52fc7e001907de7c8af5", "49062cd71387ac056fbdd7ea685b1781b32882f2", "5e4bfe9d4c1f8515550203ac68727fadddc090da", "86e2440835ff932e8dae13fdb7c103bce8011291", "7aa992d6b90e53fde0a4cea855fcdcd45627fba6", "e06414f637bad6170ee644d9059339b053177fbb", "3977480a6f0fee87268976eb0448b5b754a749ef", "ee68025e90397d9e704645192322fadbfd6ff292", "0fffde19dc40d954386845e7d7142db3c3809068", "a9c149b66d05a21cc3f3425039df94463ce103a8", "60b6663b0ea8554ea7c9c815d920c6f554a2c3d6", "fb70a52551e7219648368c7ec02b25f49b06df4e", "f29a6b004aaabf5eba1b6fb94fff8a75a694dbca", "d2ae00fe9047530632afe217244b7e81e3c1c248", "322f21a31a6daa352fdd9d2ac09340f5a03848a5", "fabc75c87ea8ed05045e56681b1ad26442ff4bd6", "3955042c24138efe79bfc84a845c592ce14a0135", "5e2b74b8636635ec9596753ea3f600fdf22442bd", "ad520ead8eddb125531d40a961b5f54a049031c9", "6e4f3671707bdb8dcff34a790cce269e69bd021b", "4420fddadeb8a41f832ce9f7fbf284df09b3472a", "50ea0b4f42554771f0520b37e79ea411aaeb6571"], "references": ["5ceaabef5e2ad55a781607433cc47573db786684", "020f7362bdb844334f46445509106cbace5bb626", "e74d18ac59ff0da1161978c74a16cee38b5b3e3a", "cd761fcc7db3352cf4613dd6ef5cbdedb6ced928", "ff480cfca88299e3d26ddcca42944d45314561e4", "032d966029484900580685a7c9c73c759f70d428", "45fc88bbf2d007c8c8b9021d303c20611e03a715", "0717d52241f8ad6a14b70271f138fe5ec7d1cfe4", "fa721abf2a0d6af029c781fc8770bb69b04ad613", "8c02929b55cacb87e80badbb3ff059dec125620a"]}, "processed_text": "новый технологический тренд образование семь год прогноз конвергенция"}
{"_id": "05dba74b1ecf7e40b2a904e2d797768ef79832d3", "text": "Улучшенный статистический машинный перевод с использованием одноязычных перефразировок", "metadata": {"authors": ["3081370", "1763608", "1680292"], "year": 2009, "cited_by": ["338a02fc3bb505a21ddcab4fd5c33e6c5bee9b10", "a87ac16a656eb289ca4f48b433dae592ca061e53", "b8b93e0b2c1ec345e7f807bc2aa5085a026b98fb", "4050287d4f02ee2b9b1451a8141cb5e481855ec9", "ac4312c125bccd155f1994a0e0d172aa689f78b3", "9402811c59a6d5c0ce6cb59fbb4a8db27c27f969", "b1d620801613a25dbd745ebe01619acc5be7c16a", "6b28fdabfd53ca9b7b756b4b266b16af8e21a329", "be3aa3ef27889656e432d7a2f129193a94aef24a", "610e4aff44791087eed2ecc5c91979e4572b82fc", "8887690f0abd32d2d708995b1c85667eae0de753", "7968a806169ae1cd8b9f6948af4820c779d11ba6", "82efe7db645f7452df14f103fef28f21b9bc9da1", "4825fc24569a44072b19e0fa4b39a6b2a7763070", "055eabe2ed7f026a4fd74f75d306fdb69ffabaa6", "17d3bc78d0fb616864bb3445bb4b678be581da67", "08be4c20afa528d90df7506a6c8f9adee5d772f0", 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{"_id": "f22ae66b083183494f2ab0f5c7758fb03d69b05c", "text": "На пути к крупномасштабному поиску в Твиттере побочных эффектов, связанных с наркотиками", "metadata": {"authors": ["1798025", "1803502", "1806184"], "year": 2012, "cited_by": ["661bb7ff14ef597d09365532a504b2b55abc8538", "97dca3ef15503dbf94bba18fcde28db07eaee16c", "3b5b77110609259f23f6eb2a3985e265ac0359ac", "6b91adec34d431d3ff1d8ab5a5114ac767a158ce", "b481b163713796f9a6ef0222c8036fdd3376066e", "0106f5931c76506d3fd5113b7d588c9d292db62f", "86a137220c69b3cd11902426e014a38bd4881102", "68a511e87d0fb0b5af322e60c4adac4a2c2be7c7", "86969cbbfe866e15f9f7dafb9e6f1631b256d8c2", "8dfbdcf9b5b184b17279552f6a8057b304d12ffc", "1d38fb9681842c637c65f7b4c29503e3f1da0ca9", "ca3f1c5d0a2d7e7bb61afc5a46d0a94d286887ff", "5af30496a6ade21c3c93b3b3c856c3489de36201", "0ef071a6e13b3a7f770604c085f14e695e329237", "5e1727649415c8d196f5c7e98b3215466d596eb4", "0043b24c0d65f6a7de8aeeeba208bfda2e4f70b7", "5f1fd685887f585b35e7cd3cf6a6e460c85f598e", "5c2e3467cc5df738c6cda3c49ded907be701c1df", "f5afc3c8ac038081ba52a32c7dde4089198c2b0b", "f7ec97a89684275fe23b44c12b5ab6fc225aa741", "e3adb12fbd126ce9abbbec86c6ac1642e61ded34", "2743e07c18636b35a4e05fed47c6f83067ff6fb7", "9dbd19c14816bcffc9d806b03bdb3aa1a0f6f222", "8fd6afdf7b95243c1a6d82fe6f6942a205325d12", "7ec830bfc4e77cb80b9e71d91e5c1b78bce54f21", "017960a58bc1c2f8829e34044f6eb8e51bfabb55", "9f13c5e298179a9369383cf8a742d85b6cb8afb5", "5b8a7b11b987ddeb865dbf3aaa7b745a86ea5bf0", "17889a0b5e6db6d69d94619dba16c2dc8059fcb3", "f5c602f052f8436854819e17fd4974f10aedacaa", "4dbeeddfbd76f3a3c8aa9164b44af76c18d3ef48", "f2365ab0fdd00ad2c99758b59a2f2ccae702dc7b", "74ef846e9469228d999898a78bc7406f1a9b2738", "e83d7762012f5c51bd2d5290cf17ba24f5914407", "4d1b5e177e247e5cd1669d78be254163aad06be9", "424f18612429618793f94fa1af914a4f962ac54f", "8215133f440fbed91aa319da2256d0b7efe9535d", "a1e089facb2e3cfadbdb7a4065a333f680f6faca", "0ff0da0262bea2b1a2c8e7f3367ca69b88e7be58", "807bc1800f75d74754c1ee7eee265aadc1dbdecf", "204306927566da8b4b1ced93e8f6584426ca46ff", "b96695e4a8a0d2d289cdae1e3d9bad5c8275c738", "a3ffcbe7ff16e771de63602272703ee8db904233", "3dc5ad13cb3a8140a2950bde081a5e22360ef304", "92825c636178be82a1a0c2836676844dc006c798", "827d4b26f6e9b66deaae9f287898ef9c543b283c", "a7582c3a55a6d76d0fee63a80d946d796fb4e34e", "a8db82cec3334cd12d8700d6fce031bb8e8cb351", "efbd00ea9c8c04d7550eb66edb193db4755c60c9", "4ca97835a14dca2b8276cbdb3944667bd9a25248", "45a0f54c169fe918db8b5c38d818b73799cf93f3", "098165fb11bec53aa4c2045c9fd5857523b4c438", "7da014a71967131bc0123f687cc403293d6c8067", "367ad58a75560153bc541223fa2074678243c593", "3b0af86a45ed2719e94e43e7712b79834535baef", "1ac6a66f86e1bfb0da72be20a9612176b8e60f7c", "3ae73d2a547fe60a9549c0598e24404680832182", "2abd3b1c93722df517c23e0552e578b87d5fcc3d", "85ea4ff27374cbdc2194858a564a54829127a29d", "a48b11e619f45d297fd1b5cbc81c796398b815fc", "c81fc5f80c4721b8e8b84d23027755f53b67740f", "72a37bad2c8ac1ccadee63441f21533a27f36de0", "6c3b03116d0d194b455a9e417496b8e8f0b609d7", "6920a376ec934083ca17300d21d4842073789b42", "fc4364a1d6068325f264d306fd9f9bc6c1a94230", "11389df2b57c83877f9a5cd768b472186c2f5c02", "9e942cae0b0ef2362ddfbec53fa5a68579c573eb", "3856b168e655219e769f132ac4643b3da53b5b80", "c0c8d00d6ae2f6eb0ce87cd437d61a6a23e22419", "74dcfb0dbbd8e698fdce463be7fa7230fe98066b", "114f5a45cc0af28593254922315bda44bd4418da", "40cfac582cafeadb0e09e5f020e2febf5cbd4986", "920813ef619697e29c8fceccefec3a2ddd6b4d12", "37909962f380917f778ac3bd285b4f653e847112", "1fc4d3b9647e7ec5cde3a894a09a175876b1b6ad", "3738e35f7b288f8689c41bbe9d5a6a6b0c430831", "d370c15e97e72214485e5aea164bc1a371090532", "a7e6e2c5dba323f838e4548b30fb0f52b40a16a6", "5b96bf5c14ff788bba947c29fb78ebe050c46674", "df94b74b85d5b7466404c5886fbfc51f04634fc1", "2ddb82c5e45e839d15a1579e530b7e640114fdff", "b256e112a5eddef20bf3940b759a617f36f762ef", "119434ea67d7d5ce95432864361a771b1797ff8b", "cfe047a01a54e4e19d2e316b163dc0f422d0405d", "a48e30d5583f16383cbf816aa2bbf0b0d932f651", "f126872faa9c6bee73f5a190f5d74cd535c6340f", "3895912b187adee599b1ea662da92865dd0b197d", "2d906049b3da1cce03829a22a0793a7a6562a520", "1f2de6222bcc60b9ed16d5f865487f87eff27c8c", "88a6b0e5897f49321c9a0c72db448e6d320be413"], "references": ["d0875a52e332e716ca84d60d44954c1d9b4f6143", "c9c9b50b51dc677ff83f58f1a5433b2a41321ec3", "07a48ebb77562ffe4ca79a7b08bdb620e49ba4ee", "05393361e6d9e56ee7dbabb1e5ef6c1c212fc34d", "ca4b6c4d3e1797c89ad9a338923f4845b423af3a", "dbd14b00f949d4958b0b6ecfe1d8cfb40e2df9fb", "1406f6b5ed4034b72ed2dccc3fcfa4c5c0810924", "5f47dff76174f0a0cda429e2ed0e733b4026ddea", "51853d0e2b9ca6962bd8fa1272c77811e5ad18ab", "426fcd86883e0fb0df2b657b5322afbf6d6539d3"]}, "processed_text": "путь крупномасштабный поиск твиттер побочный эффект связанный наркотик"}
{"_id": "fa36e9da13f7a055ce95beb61035c72b6d89e2cb", "text": "Радиолокационная система MIMO FMCW с частотным разделением частот, использующая передатчики на базе дельта-сигма", "metadata": {"authors": ["2352394", "39835727", "1720420"], "year": 2014, "cited_by": ["9e67dba0608090b1851ed090134e80de41c4e78b", "ea5d397e0c7308b826019352c0d8908fb923c008", "96fb43fa1fcc58c70e9fa231a0cfa4a95eefcf27", "de937d34f9efe8c625df59cf85d8f3a362c1993d", "165865d805568d96354aa5a66987ea990b103cac", "3fc7bb4cc64414aacd6616889a91696301bdbbd2", "78fe49af19f1aefc3ba9e63f0ac25be600cbf5fb"], "references": ["17cf89989c082a33aa57eba55a9880614fafea61", "8da84ea04a289d06d314be75898d9aa96cdf7b55", "98d7d3651046560bdb3fa8342b8d46d38f96dac6", "fdbf7ee0841acab2a418ca81eb65631d3cfde7c5", "7be83b992da56d892140f2b83d6672eb21b2465e", "70ca66188f98537ba9e38d87ee2e5c594ef4196d", "df168c45654bf1d62b8e066e68be5ba1450a976a", "95a35076f5e2077d08b8a134c7af2439d4335c8a", "d3aead1b287881f7d185fdb26ad1552f8cf49f40", "9c25733522725184b724942f7f82f6880e220c4d"]}, "processed_text": "радиолокационный система mimo fmcw частотный разделение частота использовать передатчик база дельта сигма"}
{"_id": "7c080093943b2001224ac6608436c83d82a79a83", "text": "О распараллеливании задачи многопроцессорного планирования", "metadata": {"authors": ["1685061", "1741539"], "year": 1999, "cited_by": ["2bcf1278165b290eb1517a4f22b9b146bc0d19fc", "802243f966d4829ea623ac82f4340ea75269681b", "a68801cd6ffdce1799943748e1246fd0facdd586", "24f55c95ecf7a6d4c1331f1d2aceb89d751c0f78", "02fbaaf4987067a09562362a775af65563e6a3ca", "a5d5947956f2a615d5499cc333f5331c97ce773c", "2cfa1695b18f1dd1423c73761b0e8b1f56b00a35", "d96d50526107cac385f081eb2eb1a5892c77c4d8", "4ddd13cc1208efb96a820634522da6d12a9517d9", "af6a80b4c69c57297b64d95848b627dce340586c", "b720f93f997a5538f0aeb212a7dc8a1d330fb109", "d2c5fc6f7e3a1afdf940442a049384c89eaf02ca", "7e4e3a7a1c8da67721f9d70b3e1728bfd6fdb0d8", "6112277ecf5701b9307ff5bccc56eef958488a0b", "0db2199c30d55c45395e9188a44b7fb3f4b3a7c1", "35936389f02b72a924071d80c6be3a2dfd102cb6", "a42a51171f7d839f027446e6f7101784fae5b58e", "7f148cf51b203283c4c4e633f6fbc60367b05af2", "4d3ab630ff3d045a1053f0665db0c620010ed194", "286fa2aa323e15de473b97d7ec48f5f3d8bba7ca", "3a5e2083437a501958893eab6da6994e7d8146e7", "688ec969d262ee3b8db572779cf32cd1072a10a4", "8c1df2070cb69d8aed716c7502e04b5f95fbcc7f", "edc03b754b816bc097ad7c2fadd2d1fb3b91dcc7", "5d1cde15b7b9ae40ddd036192802ea011a26535e", "e16e539e8b8c0718c8bd5c46f15eadd92345e25f", "1275a24e4ca5be6d2682609d93b79104e2a8676b", "702e1b5ae78b9486e1fb7ac2047a1c294a4080d1", "1c11f5782a7ed710552c5d6bb04956205f9d36e4", "40c9d93172045d182ede788ae22fd9f568e61c7a", "bbc6c4a08d1f82547d4d0c8d87ab292b20d9ad92", "e2ac37bbc05585f3d246c6b994f1c8cfaba47921", "2697191ef8c1612902510c72efc711d6d467dbb6", "78b86ede5023f79a6e31ef551ff3bee2e437e7a2", "fe0a9135a87f304de89469128bb109c96550fb55", "49cc480053ad20b352af0b87504971400b62bdf0", "4e975ff783f7cb12116f4a2b6c7b0e93d7b21a9a", "c0d39667235fc13ee9a5e66f6b35648c53f47cee", "f511f183fa94ca6af8bb85fa4ee2064b27eaee7f", "725584369613a702078db93dec2ca463b0ad0513", "cec55b44e7ad724e5c803c372ac8dd62c1a32d22", "3234879b9eadd03131ff6a1f1794bded276bb563"], "references": ["05e034fece19af5256bac1728e89aaf7980b77ae", "af0fa1bd5cb88cd24c92b2b0dbddbd78e01daef2", "a196e363933daabfe7f5f83c2fe5a85a8b415a29", "c89ed589bee6f8f4510600eddefdbeef9c62074c", "55dfef2f20ef8bbe9990b680a0df21ba3dff5459", "9a1b319c75ffa96e55c3473d79138d6494e784a9", "95e59a42a690a932ce94ed3daf78e8a461795718", "2e151b36863baaca9e9c274973842f9ce428badf", "9b1c30cee89483a9c501cda9fadba34f9a8b6e1b", "55f2e2b81673c8609d645a6237b84e317b6d7dc5"]}, "processed_text": "распараллеливание задача многопроцессорный планирование"}
{"_id": "d2f8863857f6a26e917af5044189c02fff697e98", "text": "Вложенный LSTM: Моделирование таксономии и временной динамики в социальной сети, основанной на местоположении", "metadata": {"authors": ["26351377"], "year": 2018, "cited_by": [], "references": ["8d7a1f500237e2f3595ada544e6686d4270e595e", "07b4ef6b622a6ea41f0581b150cc19961a62e7fc", "b0b95b80690a619471ccd7bca20f5dc82afeccd7", "91456d9478a76fc440dbfd596a4421fe7c89cf4e", "fa962acea22a0cb56709684db0fe6d6730f85577", "c4d7be4bddb5326d03d43a0763b7b31ffc118627", "e9fac1091d9a1646314b1b91e58f40dae3a750cd", "5324ba064dc1656dd51c04122c2c802ef9ec28ce", "22ae02d81c21cb90b0de071550cfb99e6a623e62", "0b3cfbf79d50dae4a16584533227bb728e3522aa"]}, "processed_text": "вложить lstm моделирование таксономия временной динамика социальный сеть основать местоположение"}
{"_id": "d2be35d1221c29c3ffba998b91d68dfd7c5c65f0", "text": "Нейронные сети для определения многословных выражений", "metadata": {"authors": ["2784766", "34796546", "2757959"], "year": 2017, "cited_by": ["26747b5d4b8782dbc32efaf0c3c0f8386e8b4632", "c07fafee6808bb23edeb5ab52f8965bef6114155", "547dcd5cb38f08f7711ed75d08510ed6d3e1c29c", "2a791d5dcdeb71c026109292e284ae42cb288ea9", "3fefcac2dae480a265226d438adca17e1f87d342"], "references": ["d0188b17b728ea993c8d78446795643a87f1ca24", "2d9e3f53fcdb548b0b3c4d4efb197f164fe0c381", "88cc79ff7aa27fc58bc886a30845ae478bcbc6ad", "acfe6a6644f65c62b7178c20ef9555593ccd3313", "272216c1f097706721096669d85b2843c23fa77d", "e00dfc4ae011fe02c0e435fde5bec797360069d0", "feea286dc884fe2d0f774f0fd59cab800c724d1f", "0671e80c8cfc6293919094b97b660aa3b2cce53d"]}, "processed_text": "нейронный сеть определение многословный выражение"}
{"_id": "392b1573c9cdbb3ef0387963e82310f7be068a45", "text": "0 Моделирование пользователей по демографическим признакам в крупных мобильных социальных сетях", "metadata": {"authors": ["2047998"], "year": 2017, "cited_by": [], "references": ["4fa3c234cb0a1743ac27f1866aaa784503033325", "14bfba0080fc82546422e497f24f32774f8c5665", "0fc3b3bb73c330edce53f5c82eed6cacc49ead11", "6888317623f3d4ab43d748c57c765e7f2b0cf2f6", "885acefc43b67229095bc45d8bd773345519f8ee", "6956feb91a2d4c11ef098ff501a203525f491254", "09ef6b06bf395b86d54e490ad61bf8a808f5a262", "1d3f159c6b14775be88b0f5e8718fa1046a40077", "57d8728bd44c7c03d1adbb690fcee486c4b6d62d", "9f30725ad76ccfc28bd9ef20f804e416631ea9b0"]}, "processed_text": "0 моделирование пользователь демографический признак крупный мобильный социальный сеть"}
{"_id": "498aad3cb4d2b8e8ff1e68a40be7dec27e8139f4", "text": "Технология модуляции для однофазных бестрансформаторных фотоэлектрических преобразователей с возможностью получения реактивной Мощности", "metadata": {"authors": ["3272401", "48173994", "23214942", "3026020", "8357120"], "year": 2017, "cited_by": ["fb31201d3c8692ec1d92dafb4a7f35cba5664f4b", "556f3e5bb94f7ac1934bb2d301312ba74fd410c7", "2571dfde23457577c5193c524c1e38cb7a3713a2", "e819d929700577c274cfd59309881c718cd3ca10", "a141189599a0c02fdd6f5a890d2e3ff678c6af04", "9f2a4a8d902a32e3c2acfc1941a2186f874a3fa3", "8d66733b9439c964c1d7df6cc5ef77971612c8cb", "2dbc2d73ebcc375ddea88e4f062d04a895a3d800", "d73208100baa944c9ea40d3e0a918cad8c8142bb"], "references": ["34704ad6915f062a3b8640c038954439d18ecdca", "20e1662e44b4cb46b72f29b78fde43a109373e97", "a90873b41310358e46ec933a8573ccff5e7ddc80", "faf4d5076c513c18c3d502f29e1cc811184f3ebb", "26b2ff6370a5a46e77fb087fd7ee288fe61f1c39", "9d613be66420a16ee21d07ceb92ecd1c6596972d", "77c7f21852cd34f908a2589361eb802f0140d8da", "0dc46bb1828cce90d3fbf240e4ed3a2249a5b79c", "176cc8ef67871579ca4206d0a59f736fe147b80c", "22985ee9c4d2dd43b687d008cefc23ee9f26b06f"]}, "processed_text": "технология модуляция однофазный бестрансформаторный фотоэлектрический преобразователь возможность получение реактивный мощность"}
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{"_id": "28115e594c25c99a253557ae96290a9e0d60d3e3", "text": "О роли лексики и знаний о мире в RTE3", "metadata": {"authors": ["2149110", "47333856", "4881542", "1889026", "3187096", "1721801"], "year": 2007, "cited_by": ["6d073ffbbb6b50220e19f7a2d67cad262abc763a", "3ae2512060cd06ac8dc5efda4b7abf51569b7adc", "26161d1073dafbfa0af5976f63a77761c8dd2e32", "2adda5a0224150fdb39e4ae525636916b490f6f6", "ba95602cfee50860366d062c7e2c9caa39850d26", "ac3be6e0a137e6d8e7ef104ecedae224b0a65c2d", "277135b1a6973d5e43f56245ef091bca7b3b47b0", "e96940e4837c597ed05bd3ea52e126ca444d842b", "bd65fa3dbae2ed9caa32bc3595b75d7bec4f9a50", "53eb88ecfe8d0ba105a37695985112002a445bf6", "88308d4bb3f0c61bed09d17fb7493a9f2c441da2", "ad71f1c8e5d35fefcd73a38256799dd444ec2008", "25680d6c173211fcac8b0e7c21b37ea7c0f62476", "c4c7ce0cd60592c5e116dac117f6e5606851db50", "952bbece7cbc4e4a1c38d2a862fa7e8d0188670e", "41aa047d94c91674cccad645759fd4e06ad8f6be", "6f4f2f787742be34bb6476d4d5cb5cb138dfeb29"], "references": ["d87ceda3042f781c341ac17109d1e94a717f5f60", "24ff26b9cf71d9f9a8e7dedf0cfe56d105363cd3", "16b1ce3dab15848b7855efff82bf5dad7b383c1c", "95485dede6d7118f0577662bd6fac396f3d380a4", "c4994418fb566a8e18ba464936ddb2dd728f40dc", "d6d89b2e7cc31108ddc9cf90132a3c3f58f98268", "f977550fb821666101443621e9d19a36cf4497b0", "b4317b8a4490c84301907a61f5b8ebb26ab8828d", "35695c264b7bd3fb8af0a734b7ad45eb72f4b5de"]}, "processed_text": "роль лексика знание мир rte3"}
{"_id": "7faf5d0915d604821d7ad2ade77f81a751309eee", "text": "Одноступенчатый светодиодный драйвер с плавной коррекцией коэффициента мощности с одним переключателем", "metadata": {"authors": ["3273490", "2428317", "1801049"], "year": 2017, "cited_by": ["01bd21530a1dec9f084fe4bd56425d089e69f2c4", "73fa9a6d9a828a5eb908e617540ec225b3bd2048", "c2870b3a31f5078309032cf5c7409ceacf2c976d", "343904b09d50c563927ac95b6454831717d61e96", "9c3d2ae435614c010f223ddc1559339a6b37d781", "2d369d81459ddd5eb570e6c8212313425a522a35"], "references": ["3ac6e2cba5674147eaf0f9cb7701deeacf380b5f", "beb38cf2b03e3c22f5fe4e75999bbea52ed3ceee", "23805c52a12246b27c2119793d818eb7b176fff1", "43d09c0ebcde0c8d06ab1d6ea50701cb15f437f8", "a86f3ea213b3d4142788a7028dac3ee22b8919c0", "280bb91e1f8f84eec3979c5d592396d3a4a2963c", "8a64443a709924c42690f2ed7c9bf8ef6452c524", "3d7348c63309ddb68b4e69782bc6bf516bb1ced7", "493db6fcd35524307cba9f820745cc6928d7f82c", "ccab8d39a252c43803d1e3273a48db162811ae5c"]}, "processed_text": "одноступенчатый светодиодный драйвер плавный коррекция коэффициент мощность переключатель"}
{"_id": "1b1aed7e508dce5e1c2d847ee69b8979e3be69d2", "text": "Внешние знания и стратегии запроса в активном обучении: исследование по извлечению клинической информации", "metadata": {"authors": ["2673235", "1780364", "1692855", "2553141"], "year": 2015, "cited_by": [], "references": ["97ef59b749db2e4df2c51ff6a32bd44a62ee1c6c", "f2b976f74ee93bf07a55912aef8ff5c89dad2f65", "7d5a6ee15bfffea4afd0b40437fb34d2c3e8e0e3", "673a851db00c835d17788b8a6cb7b470de493fb8", "5e095981ebf4d389e9356bd56e59e0ade1b42e88", "7dfb97a2b878673e67062eeab0ba1871eae9a893", "fa7eff762690f6f9414957d1805faf65bf814d6c", "acaf40198527e189545be19e7f5f27e721c00c4f", "009c21d27a05dbb82bfdca108898cd357b64c076", "906e5e43abeab404c45b3181914857d677dcc01e"]}, "processed_text": "внешний знание стратегия запрос активный обучение исследование извлечение клинический информация"}
{"_id": "566e31a4ad34b39b6d8a1953d77d9f74da135a2a", "text": "Автоматическое извлечение дорожной сети из изображения с беспилотника в горной местности", "metadata": {"authors": ["48696401", "46517975"], "year": 2012, "cited_by": [], "references": ["9bb6ce28e34f3385d12bdb0036517014783c1133", "35e828bd67bf1a12fe65742ac6ea22caa9659317", "46e678c863fa00b178ed17b594da8cf1dab6d5a0", "55082cb459993ecb47942f17d599520afef4cbcd", "d77ddbb81886d07941ec4679ffe83721e3f5ef2b", "bf342c890f60988ef02548a3e192649b247e4334", "a1ae1df3aff2120e48c20d050d05b94638a815b0", "ac5225a9d21e455189455b39bc99fc60ad0c3da9", "17445a6bf462be644bcd56a1946eac0de911c4a8", "0112e11c8f7fc0fde2729136712431b268995000"]}, "processed_text": "автоматический извлечение дорожный сеть изображение беспилотник горный местность"}
{"_id": "063c6ae786c34d3722c6d9060df6339e246bbc3b", "text": "Синтез текстур с использованием сверточных нейронных сетей", "metadata": {"authors": ["1891828", "1746183", "1731199"], "year": 2015, "cited_by": ["38bb00bec0e6a04600d5454eea067d9180610156", "9d19affb1521192b5a075f33ff517dd06a5c17dc", "af34fdc985ab309c41d99ba1d4ba16a485b8ef8e", "a52f522ff2003638728446c87bcecb8829f4ec46", "0396c08e0c3bf7ef58183928e76ba2c27f58d9d1", "142a0c25f3a4efb222c5fde0057fb1498239b87e", "aa50a595878ee67d0eb0a9b0f17a6132c0552434", "0fb277156823934efb1bd00b9143b88040fb1986", "8e191d0b066e3bf1d38287a6cd40586cba49fa92", "f1e3b4988caa262379c7834556b7d59b21bdfbcc", "cf922ea0c7e60ccdf30a08595f32d3051a28f114", "5c7a741a099f950b7bc6a8b8313c21ec312461ff", "3071658f221769d8980db53ada045cdbb89340af", "aca1036259dc17fe809ef9ed0c0cbbae06eba0d2", "d8748909e6f96928b7386f282287fc11e1d01a20", "28af07e30f9d7f1e2186fa1c6af8b8cdc0aa61da", "fac26194fb1e4f71430f96d1b2053c75511cd25b", "bd89fc3337b7857f8009d2507b94236619faa01d", 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{"_id": "35414f51bec4795a0f417aa1fdbb35322d80c9b7", "text": "Сравнение производительности зарядных насосов Диксона и Фибоначчи", "metadata": {"authors": ["2157601", "21751480"], "year": 2009, "cited_by": ["64b4f426a5dd496a90ebb485fa2335eb371a14d9", "7b859b6dafbbed4be285260bafa1f65714100993", "6618a2e66131c08594e42706b9d4557ac03a5cc9", "57600688efd7ddf7e4ed30078e2955b013a4cae4", "30ce571f6dac2ede257f681a5a85f8069de76b13", "daa27fe460c7d77ac3ec266c352e7ec1be242997", "f77a2dc922a63a17c2c615225ef279194406d365", "3ee6a97d9d430a9b1bec46195169b0a45d2eca62", "2d4b96fc6765bcec8945c6e9f55fd165ddcc3b95", "76e33d763baaf58148d64ef0d477e3bb54601fa9", "a9873bd073de81cf8c7392c829eee207878bd695", "31b6b7a1e00ada40a674f0fa13fa695245058f97", "bef9332c7ad999e2767f42e1c6c20ed3a4f52350", "0bf1ac8a155c4dc44e3f8849aeae046a680e6753", "da2d5fe89a9fc41fb798f7550483118f1d38b919", "1ff549465d5ca83b7e1b6d286c43ee05b0ac201a", "199ee9872f9f570578222ecbfd92897ef0d82055", "da31d6bc2810e4a1853d9a28daa85186cba5cb97"], "references": ["533ea26a8af1f364b92d856f0aae2fc4e1539952", "acff05535228176d13086843152e0f9c3b9e00ba", "e81136af171f54d2ee867fd797e8f367c97f83b1", "af9dfeb9703eafdc665cad93079dd0b45ad5ea97", "45acb28e987918628642fe5381a8d9a8769da2d9", "3813fade6b111f08636ad220ef32bd95b57d3e03", "c4e37fc41159d23451bc63a8c47e404bbb713af5"]}, "processed_text": "сравнение производительность зарядный насос диксон фибоначча"}
{"_id": "0b40af1ad2b9781fa14e999db2d7d3270b6d2862", "text": "Кластеризация данных: на 50 лет больше, чем K-средние значения", "metadata": {"authors": ["6680444"], "year": 2008, "cited_by": ["7355e07e79a6205dad0deffeedc14beae6a806bc", "4a43dc3e76082aef3c1fa920b5d023dbf2cb3571", "86b42552ec719503c2ed89d4c1966b385918f00a"], "references": ["36278bf6919c6dced7d16dc0c02d725e1ed178f8", "63db4ce22fe80ed50665da89bbb695d7ed448782", "1c48931edf8468b495a92acfa27beac84934650b", "273efb86c730cf9b30c328271cde56c8f2724186", "ba221d10feaa98ea30e1f64a148d5f3fafbab062", "89c8179cce5887300a8b588c86cfd3e6db0b2801", "1de7874ce98d13b5aedceee2fb3c243533da50b5", "4b1b60aa69b54d123649a5f8169f0ea6e545951c", "62a4f42da8a6151fac124d2b40e28f41f8ba9eea", "10a7b139435977094d230414372a82cdfec6d8db"]}, "processed_text": "кластеризация данные 50 год большой k средний значение"}
{"_id": "c5550a3478b24f7f1904c6beb8d9d1cf40d30b21", "text": "Технология высокочастотного возбуждения SIW и ее применение в массивах", "metadata": {"authors": ["9192556", "1921502", "48927443", "36475565"], "year": 2017, "cited_by": [], "references": ["7d57505ec4a943230d4d3562f5214ef3a25d01d0", "b78f5c25520e7212d34219b0c59d39cf62aaf373", "a340cb8a19972cf6862c8b6a8f50e9a0c37d9159", "b18a5fa5890805ac2806b7e4ed05129d47ae3384", "62cb571ad1d67b3b46409f0c3830558b076b378c", "377a58e258042b6b62ea64cd4266f4194393324a", "bb3c0bc8d3a677264b7d07898739d3abb892413d", "08f8bf41afaf29ae794d48fe7b715e9f979d9e44", "dc0e0ef3faae907dee7798dab8918a36071b985a"]}, "processed_text": "технология высокочастотный возбуждение siw применение массив"}
{"_id": "26832c916189cf7bed032d48eb0b6329dc37fcfd", "text": "Исследование эффективности методов выбора признаков", "metadata": {"authors": ["47443088", "37859473"], "year": 2013, "cited_by": ["83f9e04cde215ad0ea694915e88b65c9b2d33a14"], "references": ["c266ed8a18afa82b54077872fd6fb7732df48a37", "5c8d05e27e36ebd64ee43fe1670262cdcc2123ba", "27381ae0b5369ad4d58f93c7e374361488f0dff7", "13e5f0c40c85ca8e01b3756963d5352358de7c29", "346d900f2f73b706ec539caecb4800d131fc9f6a", "25ba8b419bcb07694ecae8099aa05b0e222f0b6b", "92e2b2e5fdaafe7ca6cd014d50dbd5e39a363707", "993d736b0174abf2f713bea9d9642b85a2313cae", "9d080df51cafa3fb95d9dded85cec5cf8ace5bb8", "653060df9f2776990bf20b8109870f670eda4932"]}, "processed_text": "исследование эффективность метод выбор признак"}
{"_id": "616b7093cfe6ec679f25d63f62c16e937227258f", "text": "Байесовское многообъектное отслеживание с использованием контекста движения нескольких объектов", "metadata": {"authors": ["2989534", "1715634", "33047058", "1908724"], "year": 2015, "cited_by": ["4443ee5eaa56e41acddb62cacbc2f6d8c84ccd59", "1922082de84afb69c966a7628e86012342b475fd", "32c16cbe2e6dd90de95150051114124177725be3", "27b2f28fca10afaa046ae3821685d05a267287cf", "cb43e218c151a718f4fb7f9c2f43935447786868", "d04d53038d4267cf25badc5d6acccd2fc910a8a7", "305ab487b4cd7f8595e72dc894d25939490604f6", "6b3c9c0e4d47bd960c0adc4d13ae524a5d9b94d1", "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "3db123d094c7ba33bbd3c4ccbea77e2093ad6174", "6475c1e95da0a3bd36786a32d00a893d85460e9e", "d5bbfef5511d215bd3d3cfee3926d313d48c3001", "1825a45d88e98f9bb3108d41f048384b4717b229", "e5a67c425ef3947f2294964692c9c3efc8d0ccab", "eebe513912302604fe0601b7e4e85203f69f3b1c", "9edd7c738171b0f36b65ae771711c38ed1dc38ad", "4a0cec395dfe1ab634f53cf295409281c40ed5c0", "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "13453bbe7b669e0a6ea82cf0f13494e08f00414f", "e87b1ae1d9af4182e7c5b62c9bd01b15979dd59d", "71d3ed17c0642234a921bb45fcadd86520794941", "ef96745afb7b5fda76dd19b09895691287762be4", "507bc8ab4a598fb2f4108713e8c1e55c180c007e", "0f1cd34e77c141e75b02ad4f5b4c2dfcbbffc05a", "3227b933d917c73902746ac2c36a72927064a3c0", "58c17688fc08eb69ff3b20803a227693289d63c5", "fc0630823bc02d8ad7a2b6dfd1e457392ec525cb", "51e028044654491fb7512082fec53bc8e090c4c5", "7da261ca2cff495bd7744504797c4c3d5b8b9b4c", "a8420e7fa53b81b8069ced8d9c743c141e2fc432", "44880df54e6caa3e7263db7a4d5cb77838f4698f", "64c78c8bf779a27e819fd9d5dba91247ab5a902b", "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "50d1021392b6b226cb6a022b69b55396dfec99fa", "e7617e3beaa1a1a8a3e24ec517735c5cf5c8a8a8", "3481a544e28cfc14108b0785eef7c12747e622ee", "a045ce22bd4372c3b6a1c5ccde5df88974927fc1", "b040302c9e6dfc1501a70bed4636fe83730a26db", "5bae9822d703c585a61575dced83fa2f4dea1c6d", "f4f2d93b3de67f08365e4d84067694d27f6030fd", "4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc", "2690e7a8acd8649888f661052ed32be738fb1e0e", "858ef81ea9558303a5d0b8cd57fc856036a9b68a", "bd8ff0bf1c6ae27789cefebe2f55dac25ce6f1c8", "7696b0b55516e59d5ba5a97f4ee554cf977b9647", "3b7644669d393b07a09dc13df9586949e5f01494", "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "f5adb841e30eb635b91e95c03575f3b8767c9ed5", "eb6f57f7138bb12bc7639826492e7a860bafd5d8", "de92ac27693598254554531d8cadfd4728c423a1", "2d51956f2f218d7bb99e5e36d7d7050b4a0cfda8", "5f0e9cc18374a670dfea4698424c9d48494f3093", "166e7fd811d104254155c90506f2f7e77947534c", "4afd04db8eeb6a4cacb616b0dd193819bad8c2b6", "95ca582b221ce96edbe8bed539757c36ecabcef0", "a6e7513371a49cd7b8b30bb444e8fc448c5326cb", "361164861d8e4676079219f6d099358a31fc4025", "0db41739f514c4c911c54a4c90ab5f07db3862dc", "bfc57f8de0153c1eb9aec9a425a4887e87859eb0", "7202235dd82965b4bf18216040e40433f96274cf", "ce12bbb8ce974df4b64f18e478d7fa99b722de03", "bc12715a1ddf1a540dab06bf3ac4f3a32a26b135", "c0d21722d83c126af4175add38ffc893a33ee01e", "83518f2075996b980d412cf64d833ae58cc8c0e4", "af8cd04bbe4902123d7042985159a6a5da9d9fb9", "49b7255936034a081f70bcf3907750eead8c1624", "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "ed432ecd59021a96d8995269a34678c4c2774507", "6b030cfdf22b482a98298e9968f8cdaf2ee94d96", "1183ef7de3083c57ca9152aabd905814bb486a08", "572785b5d6f6fa4b174d79725f82c056b0fb4565", "bb94a76badb69fd3d11de69f7a09518eca36ca5e", "35af45f799c65d21bbb3cd24f666de861bad33b0", "aab5d43cbd215099cb7a947665072f8d6d5fe2c2", "b7b5fd3e2cfc39967e389b974c1cb418b2bf1b8f", "4d5c179ffdf09255edadb1bb7233e0c23e55b8b4", "5da14895692fad7d1f403279faa743a657fa7ac4", "e989286d575431d0c21d4e28a87c4d75ef99cb7a", "ad8e7c9bf20a0507acb90b17574da631b3d8b7cd", "b5c945e04cdf204358e7964290867b38435ef458"], "references": ["5361b603b854f154aa4be0be5ed92afff1436ec8", "18200e8db6fc63f16d5ed098b5abc17bf0939333", "19dfea55ce8c6999415cb6216de0e5bd108a4f79", "10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5", "4335d53e763b2caf20f06928cd420ae09e5041ad", "5fea385735997c7e826c7a389084cdba5d6e0928", "aad8d2e32f1cc21eedbdd5e8ebff9f367daa6d92", "2ec56b437ad9391ce5ed85b68561a4e58f21d976", "5981e6479c3fd4e31644db35d236bfb84ae46514", "bbfb9e72058d2797b5e77d26bec257aaa7e7e0c5"]}, "processed_text": "байесовский многообъектный отслеживание использование контекст движение несколько объект"}
{"_id": "1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0", "text": "Визуальное отслеживание в режиме реального времени с использованием датчика сжатия", "metadata": {"authors": ["1711119", "1780381", "3177281"], "year": 2011, "cited_by": ["20c56d83b4057b318e8b4d043b56287c92d52d96", "a83aebb4433d72cbfb357daafa6f7d61f6e3773e", "4dff84213493bb177dc6bff266a9893538a1f879", "2329b177c71c7087013ab4bfdc3154a6ba87ff8c", "ac590e5621d2d4d6e48535c967a9b3568bd7c72f", "229b9965e254165b37f2282fdbc605f652f5a0d8", "1f5a62979fc9c8d46fc46b766582ad89dc01a0a0", "7a78fb8f3b27e00c0074e04ecd570aef5b60f665", "343ae9d919bd30e0b0fb06e68433170f65eef0e1", "2c76290153e2036d5def95d259cbb62201fd8e63", "b13c28b35571627162cf46765821c739a7dc2d62", "f6046145c7536ed06ef44a4cae190ac45f7ea6e2", "8745233f937e98c30c46965732993df3d2ae0337", "d3af64970837535fdd8fff6765c8b5ef20bf2509", "2548c6141679ba550be1c335ec99cdea4d1abbf0", "c2484fd7e368a17d25bb76a0644c6978d18d16fc", "fce9c08229e314cc29dbe393bbcf50922f364455", 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{"_id": "c9dee006f3b6b2b30e422ad2fd8abb86c751376d", "text": "Серия случаев гнойного гидраденита у детей, получавших финастерид.", "metadata": {"authors": ["1889922", "14383727", "4333765"], "year": 2017, "cited_by": ["e8ca8f185b6501dc4ce5551675a16e3d3b884bb4"], "references": ["0cafab1c22a91cfb3e03a8c00b7ea4cb2c89b57c", "f4f6ae0b10f2cc26e5cf75b4c39c70703f036e9b", "49ddb7d0886c8ddc5e85a7e608e0bcdd22b5478b", "ef4d1ba147ae924fd986643fa97b91e7761bdac2", "e72e10ad6228bd3dcee792f6f571c5ffed37266f", "8b85f287c144aad5ff038ec0b140e0c4e210990b", "0cdde294f79969bd84f39dec1b806c85b3afc166", "e55bd66c73993c88eb220b7a05cd2eef06604780", "7f60b70dede16fe4d7b412674929b4805c9b5c95", "60afb1828de4efa1588401f87caa55ac3a0cd820"]}, "processed_text": "серия случай гнойный гидраденит ребёнок получать финастерид"}
{"_id": "e2f78d2f75a807b89a13115a206da4661361fa71", "text": "Консультант по одежде для поездки: Рекомендации по одежде, ориентированной на местоположение", "metadata": {"authors": ["22066021", "25714033", "46812011", "1699819", "2069818", "1706774", "50842217"], "year": 2017, "cited_by": ["0f21156ea35f558ac3635326bd64ff4018446ea3", "58fc8f8feee6d19d4cc8ac0c3149bbcaa62009c8", "c81deeade72b9226ff098640b5b36ca467e4bd0d", "7894e3888bf0bb4d37569457491517554872eab9", "dc998b3cd21af5e874b144c2b9abc25266f08a72", "f6ad7fc8ab40c2c892dbaf3922b30fe0c0311c65", "6c015bdf0e2e2f090190876eaee247ec610323ec", "b95c8bf1fa882d3c2ff466bae1eabdc533781806"], "references": ["1259e05fb0b4f195757ad1dee3d001569afeb4cc", "88bde2b1b4522c726d331218ce7fc6e1b27d8dde", "0d96c9d14f079b7b8b6b56b4fa86f611a4ff237f", "71969ee27916d545c63fe852946dd6dcc015d1a8", "424259e9e917c037208125ccc1a02f8276afb667", "324608bf8fecc064bc491da21291465ab42fa6b6", "775a31d741ea22770be9fb8946d00710648b3f15", "1774b5a76d139a5532284f797ea7a36318bbcefd", "055c23bed5ec8f84eef7d167393b609be20cb93d", "2d411826cd7865638b65e1b5f92043c245f009f9"]}, "processed_text": "консультант одежда поездка рекомендация одежда ориентировать местоположение"}
{"_id": "802f3f316f87c6bc675cc55a2a1bf4bb0f12dd1e", "text": "Всесторонний обзор методов составления рекомендаций на основе местных условий", "metadata": {"authors": ["40464740", "1739646", "1681616"], "year": 2015, "cited_by": ["dceabb821145058045de9ed34f53a9ed15918bf6", "3d1459747bedff85dcd20161535676472f366d33", "1f66728e7ef7cb7a76cc22d10375039bff6a0602", "ae06412bafcd402bd2a06d1a7077b57b90dbfa44", "82d61c427994711be27e6605fd9d3b76d7e61858", "ff5d83e6f940ff359c35c2f80f8fe86f4836055f", "adca814f88e86bb120e58f84b485e9d98072a40f", "0b89e05ed22a4b7d1f0d91d7d8bacf956d19292d", "867beb9f7c896cca3440bf5787484076de1fcc57", "3c9a84fae8b5a1ee97ca4d764a42d63f204d24e4", "9265f0fe04fd3fc9da6fb8f096ec8829dd4e1fd1", "07fe2d9f7105e82af35ee7f7b5037d8fa1138dbf", "ae011182435a9bb11afedefd8214bcf355f7103c", "8aca25d3e0c7d0bc551b472259cecf8f368cb91b", "a9fc073fc08cdc7a360f80e42ea4f1ccc4385f9a", "f97311466154d4d1c43b7df0729a485920075286", "c78138102d9ad484bc78b6129e3b80ed950fb333", "f7140b7f83eb82322792c3fd9f55fed08c563355", "fd69be4b3475cdce12891797d8c5bca631095446", "25a3e1896562ab5db07e0a38a32b61f018e2ced9", "c7bf88e644af8cc0042b246ca8486f1dd4d890b8", "f80147846019bca507cc9efdf5c2ce9922420e08", "182e5e5d6d3f55a0325e314264346a2ac9489c22", "2c520b62515abed6120002f773b4b0f65357ef9d", "e6a263ce513bddea04ebbf7a864c29a6fb2e89ee", "db06f296ac00deb435771d307612863ce68a93f7", "9af9056e7dbf8b27e847130d36d18bba1ad3b67a", "cbf233e80556e4b3cd2f5793168e86b16522131d", "54cd7adac72910fc99f10b80763d1f8015b14800", "be88a549a94d7034b6f8f9b757cf8eff01937774", "45e738d1ed4f5478aeeca9973b9e9e1d3f229f78", "55caf25bab894dcdeb854253b9b51111303eac7f", "ee46472f7e844c90ad4db5dc28554aa56b54f9c9", "e7042925f98966df98776d30be811559454de047", "ab0c078fca6be27272f9407b10c07f2bb6ed5d5e", "6940c9929c3c3459169c3cd3708a1cf48f267c07", "8120ecc986c1377b2ea5a101089a0aa5e758078a", "09347bac161b7ff21ad8f2bd8effaacda5eb9043", "3da25d2750957eb2678c9de1d04d5ed01bf69f73", "c61508e81957c834c6b730f653a0031b562cc4b0", "8c9d410ec653a81b79f2c65deb37d7e914d95af1", "ea4ca2d66a81917bbfcd5885fd14bb58df4c0453", "1d2cf288b968fe97d96151aaf3a1de1ce5e48315", "1c84cf19febf309854b46e412b620f8ce65a9d50", "f9d2d0b4029da195faa9073b7edd962ee5028bea", "c18ef4dc053519690da6a534972b540a8c6fb6b5", "553694a5321cce2a4bba247e4e07a5ab4197834d", "6a6586635fca462ab9600adc77ba80673da300db", "91342d2d127057195f9de487c4a92cf38e91d6b9", "ec28534e268b9448d70553062de313c8a0a5e36e", "9f976eea4bd54141dfaf13d2f0fddd4fff48e73b", "ad8afb09cc890846174d0d17b75fd3f83cae9509", "0f36625ca99359b96d6736a0027c5244f4484f5c", "f57d94c22b4d37fdf5a7914b76db7b486c221f25", "ba2a2aad073727610482835f173e2bc55bda7095", "7259fa3a823531f258807bae0a9eaedcef4e1b96", "7ecb0643aa5c65062c2fb889d37a60de9cd0d375", "d87998a6ebfdb4a22a4c0e928efac5eaf565d1c7", "8d90cbcabac68940867b2bc86cc1aed4dd951cd6", "8fca9f0bbd19e89a97770fc4d370a1bc49e282c6", "3283f36a046d8ac4605226d6035066a544dd10bf", "0983c155e061401de763e2542b158b0ca17becf5", "9a090982eca9f6abbd99cd9d2a97aa2b74823810", "cd6ddf13877b067e0a47c0a1663125e2a7f547d6", "da451d51ab40de5faeaf4841f861e5077c963c0c", "2283cc8ffd27d783a52e6ddb372b04c5d2981896", "2fa37d41a0375010258586cc37c4e1d1f82144ac"], "references": ["24986435c73066aaea0b21066db4539270106bee", "ad64789926590b3437f2c10c9425b0959e12669f", "78a00de20967358b5d4dc53a0d6ab1cf59418a68", "2f54f8d7435852244f4a9b504bd51f291ffeac8d", "599ebeef9c9d92224bc5969f3e8e8c45bff3b072", "4083ad1066cfa2ff0d65866ef4b011399d6873d1", "5b458ee989583e9a6a67046ed9441e254a49b1da", "e6f4625a3b2c0999174cdfb23d131e022f8545a0", "4f46a693e8c8288f4d5b7a8dff584a78a3d9db44", "7dd3574ac27a3b87c1bbcd5ba52154e9d46b7a77"]}, "processed_text": "всесторонний обзор метод составление рекомендация основа местный условие"}
{"_id": "65a858ca95dcfa032e812a7f1fc7ee5bdac88f5b", "text": "Использование предварительно обученных моделей для детальной классификации изображений в области моды", "metadata": {"authors": ["41096485"], "year": 2016, "cited_by": ["6d8d57eaacc535506e28761cfd113651c4ac33f0", "670104edd604cf9f272fe7088bdc3350cd19772a"], "references": ["1361e67dfa07e04e88970d8783b0815849a9064d", "ada53a115e1551f3fbad3dc5930c1187473a78a4", "05bb9a8877a82a474db3a0ee65772028a715e8cd", "1827de6fa9c9c1b3d647a9d707042e89cf94abf0", "063e5be439030fd0ba54a9636d101aa6b8bc5d2a", "a538b05ebb01a40323997629e171c91aa28b8e2f", "2e384f057211426ac5922f1b33d2aa8df5d51f57", "448efcae3b97aa7c01b15c6bc913d4fbb275f644", "3cd32e91b60a091b9666e627a8f6c725882fca12", "2b285e5eaeb7a2aa7e37c5ae6762b838d3742b4e"]}, "processed_text": "использование предварительно обученный модель детальный классификация изображение область мода"}
{"_id": "101f6808a0244f725979e6e651bbef2f86410c1d", "text": "Многопользовательское взаимодействие с помощью портативных проекторов", "metadata": {"authors": ["2603224", "1694854", "1748870"], "year": 2007, "cited_by": ["f11e2aece4fea148f33eff2f4bb1391fd1659cc4", "d00831dfbf542515bd07e181d6be407998729989", "9c5e53bec76afbe0f1dbcf3991be3f220d786b2b", "4b19fee81bd8e826b482053cf3a0b66bcd3d6cb4", "8a5201f14bb3daba24b3cb5497aa823aaa4822f9", "03f3daa51e04096c68e4eccc7e42c8c379f826ca", "df80b71d5d16c5b8cf0de8999df369a4ebde8ab3", "47b3da489ac27d4161a65186acf4555e4a9788ad", "3ca3e2b943472966d07b8bb3bfd9e369a70d882a", "66995ec86e26001ee1d1abfa20b5f1b0b4090c5b", "b82094836d5a05a81f8beeb55641d63a3f1ef860", "0f7042d84e39ea4dfc504eb3a97b0a29db4e43d3", "87046aa61d9266d5b825bd70f7c4f4ddb6048e03", "55bf4bdb3437c31013a79d333596f2fb354cb912", "ea9228164e82b148c52471c6d7d1b4f03894a4ee", "b5688a35fddef067215a5dc8a6476c0d18971272", "02187d45fc7d69ff8b2f6a97ce8d89eeea63b3d2", 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{"_id": "46cf276bdb27dd12c4c36f35855041e79e4ec981", "text": "Поддержка сложных задач поиска", "metadata": {"authors": ["1977489", "34286525", "1990190", "1728602", "1997552"], "year": 2014, "cited_by": ["80ae545a55c6412d9f0467b637f796de5a789bda", "0c3faffe2c21147280e23b189cc448e24b7cef01", "9fdd5e7cbc13df1ed1323fe4b3496ea004df8112", "ccbaefca4fa40792f02356c05dd530c91b826841", "88ce8890a6ad079fcc738cb31f134285e6bd7f90", "4e24295ee074adb3c93ba0dbcfc33b462cb7c681", "cbe5046e4fae2de6ab2d03b5a859bfcc93ea5575", "07197e42bc06082a431e9812f63a19c2a862c09c", "f303f7f7189dce018eed01dcd53655e026775c0f", "bcca584a781e1cb593521371aaf66df16ed22806", "44373da304d88d392898f623a6c35b15cc55ce44", "d7a7166cfa3d2e71f761a4424f9b5e9b23ca903f", "65975d66208deb8338d7d516d639fd2db450b46d", "130d3dbf57a5765278b513c162f1485e236bded8", "7a4bff96c86e88bc581619600de81eb5049ec56c", "1e11947897bee3cb3cc3a5472c4b996e532279c2", "3ff7b8cc06fac9fec6f825930dd62f278de33963", "48f97777a6e2abc67dfa8b7efbaf5a8675c835fb", "b4a4bd53fcf8d82c9913ba8146ab9c80acd43dea", "5f01c737ff21a42bcec48a6383f86842d73e9fc3", "14bc634ab31c907dee2f571173d650fe7eee4564", "410ba772d82a8bbe38788d6a3c7864463a05093d", "bc0007278a2202095de8ee7f0d6493546d15e6a1", "a153c6924f483fff0b4f31d6dbb6fa174bcf7355", "e288ba72ea4137ebd29c2e933eb44206b9d1470f", "058c1b20eda18c563cdb26d0e421d78d4a048acd", "bed38665d8f565b91eafc2edd3b2c484fc7865bd", "79a8b5f5cfd90f765c85b3b74b6846cde4772293", "1e0be1386c25d410278c2504a349fb3256441690", "8d742b3beab06d269bd8c3685848f52eff9f1d07", "105e3b5c49b78f72db32cfac4a9c008109791f78", "3c2e42ae9f1f5e8b6fb82db1e1340cdf141093dd", "e729639d50284959dee315421532f64396dfc9b4", "07df562a5d0e1d56ea73b69153a2bcfd25109a05"], "references": ["b7dc5aa1c615455321ed52cb78c0a09463839c5c", "3f53bbebf00bac61b89dfbba4c91505a7d6c783a", "b40567c71269c01c57330cce321d9147bc62a2e8", "138d5fd846ef151773238f97d622afaec1738bf0", "7468963f25165936dca70cc17de04d332aeb0b22", "15218d9c029cbb903ae7c729b2c644c24994c201", "3dd3e986fda5541a039239c8b5c705b030ecc73f", "12208e9eee8cfa19b626089ed787f80955e7fc3e", "06de524dc581dfd6a9c8c59a87d08e76d54a0765", "a1c3941f7671e90d4f3985d91793e280157be729"]}, "processed_text": "поддержка сложный задача поиск"}
{"_id": "661a03482f0532b7355188059b2263091ade1bae", "text": "Проектирование и термический анализ высокомоментных низкооборотных сосредоточенных обмоток с дробными пазами в тяговом двигателе для колес", "metadata": {"authors": ["9221250", "30891187", "40024169", "38422950", "39845493"], "year": 2016, "cited_by": [], "references": ["7eacd801663c08e0df724dc182dd5ca99c00304a", "71622e179271983ea66e8e00b0405be4e4de5b51", "85ba463706812383d428163c0c320c7d50eb3a12", "967e835418e142102d895040e74a68b0f389c85d", "930442cfc24ea953daf1016574e7d1fe63433114", "90bb6bf3ec4dd7481c81966a9998197d99964cde", "980ff5ab8501883b7ca5de53202bd47b1b973a0d", "2b06b39e5031ec1eb67fc47f9dc66e7d55d4f0ef", "fe30a7058cb4c39397dc87c171d319739930bfa0", "1284b88a9dc92dea87a82c844dcfb15fd6b054a6"]}, "processed_text": "проектирование термический анализ высокомоментный низкооборотный сосредоточить обмотка дробный паз тяговый двигатель колесо"}
{"_id": "abe2c411f95a5057652dde7b2611331c8a3b3f14", "text": "Светофоры с контроллерами на основе аукционов: алгоритмы и реальные данные", "metadata": {"authors": ["1767244", "1800748", "1694199"], "year": 2017, "cited_by": ["6037a92be2ffb1c3af12d4b96ece579c9483cad8"], "references": ["3a1ca6864c6a9970af67b2e123802a1738b1de17", "3604b151a6096830fe58dec5bbc25835f543f439", "88c9947fa55412681f1e611b77e131d2ce72977c", "6018ea13c6786b8582c5aef39e2846f82da0381e", "a229998bce0d2b9f12e35c760e6af18cf877348a", "122e661e99a409d877ab1bdbb419ab53c2873c15", "7133ed98bfefa2e7a177f88e8c100562fca82b3a", "4abf450ef5a674bf2bbc105ed31de074dc4590cc", "88104b45ea9a6c972bb56615bdf4a3977d568377", "8bc80ccc97902264e9d98c48f7ad36f7dcd61b3c"]}, "processed_text": "светофор контроллер основа аукцион алгоритм реальный дать"}
{"_id": "484550334c626a749bada57e51a0db4a29085f87", "text": "Глобальная навигация по городу с помощью OpenStreetMap", "metadata": {"authors": ["1814327", "1725973"], "year": 2017, "cited_by": ["adb705bd2b16d1f839d803ae5a94dc555f4e61ff"], "references": ["2a748cc66531dd7f4d122e66cc0cb461d1205fc0", "da2b74ee63abfc3d4df8c48e318c08feef71feca", "1d23506f380a64ad3642ac0abafc231114ff631e", "b833ee2d196180e11eb4d93f793acd66ff1e2dbe", "92f626e75f940a49ee80eaf0344dc493f5d8b2ee", "3c0d65c53f19214f951a58012ad3926546b01ecd", "272615c3478c4b4ee512ad8e8e3b342dc4f07435", "7133ed98bfefa2e7a177f88e8c100562fca82b3a", "74de1f9a0492de0872c2850838c42f0b638c8f34", "51086cdfc913acf7bbdfffce856195fb14e0737a"]}, "processed_text": "глобальный навигация город помощь openstreetmap"}
{"_id": "6bdbd2de4988fab315bc7e6ec0cd14ed3ae8c018", "text": "RBFOpt: библиотека с открытым исходным кодом для оптимизации \"черного ящика\" с дорогостоящей оценкой функций", "metadata": {"authors": ["50192009", "2314381"], "year": 2018, "cited_by": ["f3a77975f572025264acfa39465ed2dbcf331467", "cb8b23fcb0fddc9c5e374bb4d79fa36c8547f31f", "bb086efd9daed575fb8dd022136c0531c367f35c", "5a2ac22a957e8a12cfb003ea910c008f6e3812ea", "d1465b7ede9e7e2db46293a13c0200b1e910ff0e", "6d5cad52d9983a128e20d750d541a352128f8425", "91c5d5e0dcd9ac78857b1594b791e93bfdde5b4e", "f3d0a503aeaeffd7401de8f20686a0dfca727317", "4e1eedb579599e086a364d1a4f2d59ed86ebb0b9", "0d99af5dec4daae973767f54a0f3e6534bac7731"], "references": ["1ef04dff1e8f4fb487c304796117fde232aee04e", "61b0dfed40257ba586131f0ca4dd3a9a5c5cb50a", "b8ea85f7b1a10c2ed6c4c90dc6443a997e972e95", "3978e9f794174c7a2700b20193c071a7b1532b22", "1a2f33944f6c0a20aca1d178efc30c8acbba47cc", "36963dfd7e481d9edf4eab10500b7679b8ff30e4", "8ff399f0752ab5cd3c7e8612ce76f16d9c35a040", "0f09dcba6544b05f3598d59626ca2daf000ede84", "ac115500beed46cf05cfa73bf4bab310c8d3190a", "b3dc210080c2f6a20f1579a19faa3e1ddb8caf36"]}, "processed_text": "rbfopt библиотека открытый исходный код оптимизация чёрный ящик дорогостоящий оценка функция"}
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{"_id": "d4820d5b290063cd13305fad39cc281705738e3e", "text": "Радарный датчик с частотой 122 ГГц на основе моностатической микросхемы SiGe-BiCMOS с антенной на кристалле", "metadata": {"authors": ["32691262", "2351504", "2345969", "2664855", "1800342"], "year": 2012, "cited_by": ["db1a5db562e77ab2178046f5aacca0b426802fb1", "3842d4a1e493c13ce364ad707e4eea67a0754ea7", "5e4659070fbd1b7ec34cd7d761ac03e8c41e4a2a", "ff761e9526267a7c1ab576f8c4eed15c0c920dc2", "cfe555aae3dc930a6917dd4c5e774ba38e1aebe2", "1eb6a873b87941793b41b3fd72a172586b670729", "e7718f2978e4533661a07b641f6f2f281a821f00", "284ba1f5c410c44f020638f9e682aaf978f3d979", "75b0d9ae0d4236fab4b7f5ca640a9ac27e26c996", "80fcceb6798dbe235f4f1644536d25620e787aba", "a3e12ba553262466d2ffdbf62efc5b64c2d6facf", "0a7ff76ae2bc71960ecc56017c85034539b36b7c", "5726257f5c6c58540d31ff20fbb0f44c009ed258"], "references": ["9ba7196472e68ae82f2a53ec7d313b46fb4226cd", "caafe7a9ff8602ab7c84143fd5d2613ff87ae5e5", "f68dc7b6b63c275d98d53d4137155a9957686a9b", "6b509a872a23abf233cf212303eae31eed6e02c7", "17b3113402f52c664f4fd58f91f91778b09682d2"]}, "processed_text": "радарный датчик частота 122 ггц основа моностатический микросхема sige bicmos антенна кристалл"}
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{"_id": "52412f3274acaa16a2d76d11d5e8eab643c0e63b", "text": "Высокочастотный передатчик с перефазировкой, использующий усилители мощности класса E", "metadata": {"authors": ["47222023", "2499827", "36816496"], "year": 2009, "cited_by": ["2b1d3b8c28fbb70322b0b9ee58fb9b9ba5a7518d", "757bfd3edf2859f25d6e893db9b27403a7a64988", "c04d52ffbe1033a987fa03f2d5c2095f69671239", "d57c16e9b18a20ab469fb18cccc6b7b0b66d7ce0", "d3ecdb76daf88e5e344f6348228086ff942f04e2", "c80ff9d2b7639e5d59f446f987adcad33a719185", "9d08542f6797ca8b4171bafa1baedc0aca4fdcaf", "814dc4032786bae46c33e0466fe13d83a3c2c9e4", "dc9d1147aecfd70e3e2256d59aae3c54a504ccbb", "9c0a641f8242656fa5d314cddb2bdf710d750149", "9bf78aeda1884341c3e0900dc0a6f0a428ad23d9", "e58f3172b1818b6903e80f7e188db422bbb44990", "f7cae5d7e5b5c87752288f9866987cd5616aa5e5", "64311b0eba5de31908a5e89966ffe4dfe99297c1", "298767a5d24a89c0779683b2934adb76fa457a49", "10fbf14358173aa1b29aab211c74d4b8fd2b5736", "48a42f2b672bcca6d69c56f386e5a595be093d01", "f883da5b64d347cd27f74fd81e5b3eda9dfcb6c0", "31be685ceda85acd27f7581d50cd76ae57b9f076", "57ecf0649d52658501dec277e335533aca1da46f", "b8e8596298e5d015ae3feaf4dbfcfe04e5530d4a", "730731d75c2c8b6e1f6c111f23905a658514c579", "2afcb34580e9a9353375201fc1142838f3859cf5", "0948341291f517efbeaa3eab5c6f873d5feef63c", "2319d1560e185c6b58144a4ed0a2f3d7a30f21ef", "d587fae0e174a4f80c2d3732e2d050b03020b9ab", "6aefe68d9192c5bfacb5dc2866ac555a2705535d", "9d536000beed0c18014ce9e72879a4d67a5b0882", "b4ffe6fa7e9c305ec1aefac8b65e5f9367f91661", "3d2e1fab101a2af0dcdf550ff1b3ab647bd88e41", "90599a727b14208e887948e67b695b6f39ce31c7", "7d1840cf8dfd7da012d50bbfdb4be5b2315db513", "5c5b0331dd4735d92eb3103d413013869da8d8b5", "a042b3d1462ba0245666e541d577411ee787c4c5", "2e0e8dae414ad7e44773085d8e58a44455b402f1", "6fb9c2c7dd401eb144d8815521462e62552a895a", "35566216962d7cf9c3563a631ffe69929085eac3", "2049c9f349af7c9281dbe7fd3caccb48e034ba36", "181eeb081a32dfc110fccbad53af28277ca027ef"], "references": ["e24b966ee7eed39a137f48dc2479f1c4c76e65b3", "cc611049fa1029230858ec62399b571cb40bfb71", "cedeeccea19b851cdfa3cd8ce753226c2bf55dd8", "e6901330f1b056578cf2584420cecd01168b1761"]}, "processed_text": "высокочастотный передатчик перефазировка использовать усилитель мощность класс e"}
{"_id": "7b85c1bf03097a77cb1d36f6f6338d95a6aff428", "text": "Пространственно-временное лавинообразное прогнозирование с использованием методов опорных векторов", "metadata": {"authors": ["1766763", "1983599", "10676254", "48713956"], "year": 2017, "cited_by": ["e742cdbc3b4bcad43fb0f908cfb69f9f0b8cfa33", "ec3ea65458d97c4f089ff18a07eec51d9583ec1d", "c81146fe3e685d84fba40c462e71813352773348"], "references": ["a9ce81886cf98804ca1c7f8a744371bd2794fe4d", "fe809a4b60c268eaa07d8568970b4fa2ee63533f", "f1ac7c67bd4eed86219c88e2821eff5b1e2dfcfb", "bf0fcd5aaf5f0f291b2224a85fce7d79caf8615a", "090e50225d8e366411520317ce352846d1bc2a61", "2ee5f05c2d82a124c2543147952d5435f50dfcb2", "b959164d1efca4b73986ba5d21e664aadbbc0457", "2c2a6ed5b7c792c8a53fd3fc7e437371fe8a0128", "375e2e4550b34e656dd6b0018ab0f89031be23e4", "44d71e0ec9f68d8eb802b9ab1dde8368efeac42e"]}, "processed_text": "пространственно временной лавинообразный прогнозирование использование метод опорный вектор"}
{"_id": "6197dbd691037a412b67df688541df7c9ae87c0d", "text": "Анализ апостериорного распределения для байесовского вывода в нейронных сетях", "metadata": {"authors": [], "year": 2016, "cited_by": ["6adeea234c4d03525b583bf7fda88fd0eb665054", "cc8dc1c118c7257f8dbf35180224e610fe6e3045", "43c46282c1f4cf2e718387d2c136a66d9c832cd1", "f5380ee2ab0107d99e62c351ab6b513c22481862", "1dda3f766cad853cfd0993636c9abd646485d9fa"], "references": ["3f310c55503374a5097e02ea672960537776f411", "a538b05ebb01a40323997629e171c91aa28b8e2f", "30667550901b9420e02c7d61cdf8fa7d5db207af", "da6057368920585bcf2443295b98418840f1fc80", "2e60c997eef6a37a8af87659798817d3eae2aa36", "49c6c08709d3cbf4b58477375d7c04bcd4da4520", "245414e768c3b8c8288ac0651604a36b1a44a446", "6c8b30f63f265c32e26d999aa1fef5286b8308ad", "0ef93a4f1324b47eef4ad75a158b74aed9b0fdb3", "206b204618640917f278e72bd0e2a881d8cec7ad"]}, "processed_text": "анализ апостериорный распределение байесовский вывод нейронный сеть"}
{"_id": "bbe8c5e53ca6e4db115afeaaad2be268f039f10d", "text": "DeepSim: функциональное сходство кода для глубокого обучения", "metadata": {"authors": ["1679837", "32065383"], "year": 2018, "cited_by": [], "references": ["2d7551bb6127067d469a810d412c7b149b7d54cc", "58c4edc75e92eae076ae1ac5755f2d4017c5a08c", "598e7ca4b4fa1aea4305b32c9bc715a54ccd1d92", "21dbc0a2e79299c5734358cc88d0fe7c1e95787c", "eee89b33587447ae692373d7ce2d23c5cf705635", "0ec830d516363f1917056d699aab6f07af18a053", "3ece741aaf83dd29e63168d290f640d33787551b", "f4c8a53854c6f60ace78c1993ed9fb4d27ec8ea6", "005d1be52d9cce31be4169aa8dd75ba01ffffe00", "12ae417253669b59c02bc407adee14193543e1f4"]}, "processed_text": "deepsim функциональный сходство код глубокий обучение"}
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{"_id": "90bd67f0a4b2a8ab5c75e1b7619e17a508b56c05", "text": "Локализация и картографирование мобильного робота на основе системы слияния RFID-датчиков", "metadata": {"authors": ["3259954", "1996761", "3357270"], "year": 2008, "cited_by": ["387c12a1e90547196901df41e106e8635bebb4bc", "f1c1b82b1ba50ab8b6763e02d5c1ac8e29a468f1", "985429a4d0b663b4c8f85af3c21e230d7854e548", "2857c31b9e068bc0cca5929ec804a1a34c436806", "b1bef4a0b6ca837f613690bd21ee54e4489ad2c3", "c85549f7d79f519089480f919d09e1586c8a56de", "58721eadf1f08df8e466f9e2cec85fd8424b6051", "2904a6f37716e0a6710ebbb3b2c7e5328bba4ead", "5127bd62ef98699457fcf74c8a01ba33fbd0fc95", "cd9735f952278630e8408a597192bf771394c810", "bd74c7b6d17e2515583cc26f26933a785045690f", "17f2103562305daa511b3f6f09075d4cd47fab4a", "399c43e233dc056e21f80f9ba210c7d3c34fac34", "3f6d487a4709d80e0c3e5ac3b03cba6657c86682", "208de09162cbc2667b9a8f56621639bd9b0f34a2", "278f6b264a76e9d5d5ce77b58896bb5e64ad8505", "80e3ef230dc7c3b24026d02872a2c5c98441232a", "7299ce58da4aad6fad8af597825dd20495046b89", "bc4d835e81f9a410cbb5b196c07b7fa183f0fa3e", "74544fd2a8bf56e8a1a1d52fd12c5d8f3e57f583", "d4c5cfeb529e13a308fafe0c35176dc68a897156", "e6badc355baed130b1cb4d557cab7175182d0751", "2f2e02f35c03429e07edd64aa0a43bcb09e3e974", "61a6274fe642f0b522eb9aa4e3248539ca62cfc1", "933ba2603ef1342965e16a74af5ecc05834941c2", "81eeb66fd600228f3545d9d3f3f23d7e953dddfa", "8a0a15954bc894f2c9af238828cdf5ba0a97d8ae"], "references": ["14698d39c1fa4b1b33635ace01cdf73ef1f154ed", "9c0f063a584689a0c57f20fb9eb8382e2622d959", "20cff72b310b6edf7d924175e7b7650e02947b06", "4b8a2acbf9aa766fb028d7cea14beaaef43843a6", "86db2a96de4a15b2a2bd37734b5eccfbe1f77b56", "af2f4960d26f311e22964c8217c878947fc5c386", "03b376d81c018758c1e47d961b553ef1a0d4f08f", "93870f0485e59b36b9aed1f10ae0d147d567a92f", "aa07b3571c95283bcb5a56bead828393580a2cec", "dd766b307529cd598a868ba42d077d405cf2ddcc"]}, "processed_text": "локализация картографирование мобильный робот основа система слияние rfid датчик"}
{"_id": "c46d80f83813fba0e8363a0ab36a19fba062540e", "text": "Изучение практических представлений с помощью политики, обусловленной целями", "metadata": {"authors": ["8021910", "39204696", "1736651"], "year": 2018, "cited_by": [], "references": ["f7909cc8cab188c1d3c54497582c89a7aefc39c7", "5b44f587c4c7611d04e304fd7fa37648338d0cbf", "aac6770a66e1432420fbc9552550d6a40d115561", "647cb3825baecb6fab8b098166d5a446f7711f9b", "0a1164be2c441994cf9793132e4578a1db0ec744", "e06729a2b42c311149c9139010107fd1a2a868de", "39b7007e6f3dd0744833f292f07ed77973503bfd", "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "0f88de2ae3dc2ec1371d1e9f675b9670902b289f", "21c9dd68b908825e2830b206659ae6dd5c5bfc02"]}, "processed_text": "изучение практический представление помощь политика обусловить цель"}
{"_id": "9c4d7805f3724fb7b866950eaa0505952ff25fd0", "text": "Упорядоченная кластеризация подпространств с несколькими видами, обеспечивающая эксклюзивность и согласованность", "metadata": {"authors": ["40509061", "33465926", "1718623", "47423494", "34679741"], "year": 2017, "cited_by": ["0df38e690eb1e81a7838c9f235150811137c5f07", "1cfee8649f95640e6497a1e4c19f2fe79f859057", "8d30381659530820c589d9e3670c130968204ae0", "dd3b83ce1b52203afd05b15c660ec6e19580299e", "bb18fd6392b53a950d6de062d4995090fa2931bb", "444b54d529e137e4f7623459e32c1f6b4455092b", "40845cbae4adb34ce4e03230123e86975bae8a87", "ee82faba334ede5f46b19d93639679b318bfa869", "5c812e8968b88c25d18a066f8a28c0421555d2c9", "7b7be292b5affb37400624f15674cd8fd39a6432", "b6b9faa618b4a926b5f3fd0cedef816044f286a9", "8890df4a0537a8c1c9c43ca2e89740618c4ee5ed", "902bd133b9bf4feb1ba9b3b5c41406efbb642241"], "references": ["1a8eaea0119608bf5bc13a0c73ab3481f375c186", "153cd6650fe994a368b7096f2140059c0628a0ae", "a0dc8911c47c3d0e1643ecfaa7032cee6fb5eb64", "f3e646977ab78178fe05eb64421b421171c1c6fa", "324608bf8fecc064bc491da21291465ab42fa6b6", "0951ffd339c345b7da6084af46feb53038e9c173", "9ded6abf76768305ffc9649c39b168656b61f714", "2582ba3b7ca215f1ab98c6dbcc0190f754c54059", "0547665b377691f63b8e2718617f830858cc6535", "c53267d54a6ceac516bca2f081f5408062de81b2"]}, "processed_text": "упорядочить кластеризация подпространство несколько вид обеспечивать эксклюзивность согласованность"}
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{"_id": "27efc45254159de1a18554ba8cb603ee70a1f266", "text": "Устойчивость и управляемость квадрокоптера, несмотря на полную потерю одного, двух или трех пропеллеров", "metadata": {"authors": ["2033411", "7997128"], "year": 2014, "cited_by": ["56b6d164749a3462f1780bd5d7b61661c20ee8ab", "6c56c1cda1fbb0d1334924d7b8aeab026c465140", "978042e67a783dde08df513809c47eb3db03c7e5", "47c5ed6db33422d0f0bc41c52454a30f2a108f78", "4409800bdde89e3c9d5b17ab3b79973b8322385a", "81bde4fb64ca6982d02efcb33a19dc8da6541418", "5309bd6984676a9bfa463c9cec7edb6de91c31ec", "a39d6b040fa21990c4b9d0045cb41592f244bb92", "b3d46124c519cceff40b328c08d766645f0f751a", "e453b414bfc873dfd4367240a80a2ed7d84fb1cd", "0ccba43c7eeef01fb1eb4522c4ef345d2105f225", "3b94d7407db24e630e5cc4e886f16755a76bd583", "4a66ebd362db1b8214893656645d6257b2432854", "03ff3963d03399e47fcffca70c9bdfd1d34feb26", "47a8abb4239bfe8dd0618fdb0711fee3638ebd19", "69e1c59c4244c338855b014cf60d1c113828881f", "895486ebbf0f49b2fae839ded04bc50e6a67a856", "fe397488f03ae0e2518f92e919147ba78faf81fd", "0e732c6bf2a0c0f51a704dfbb122c0a90dc119d7", "9a8633b908975298d5a07ad5973258f1d2a0e2ab", "8d5d8119bea3a2cbd34e0b30f525970fd5771618", "66bc1f05a92f670c24d3c34b78f3fc8808955e59", "a2d569b14ea2434e0bfc0cf7a9b8e93f488e368d", "a5f28c52d6084d2a3190ce3c4bafce570e02917b", "a80a08647013a76ab615341d655bd43f4fbe070f", "bcb2681aefbccb14b517ce7908cba89c5ef4274e", "fd1e362169cdb6c05f271389a9f708fc8a6ddf68", "c4d06fc6ed8f40590d9841865e30e116aeda9233", "fdfcf90a729d087658dc078ed88814d28a63b7c0", "c639c3aa374b39ae2e461ac704d90324cdcc3ac8", "b4529d6f55fed72e5aa66078e58c18eca36d6c0d", "1b1dcaf4f7a1a18fa900a0d430a728d5b1a5746f", "05d007d2d271aac04cd6f81133ab7b9e9138c86a", "79ef47bddc9806af3c6facc352ad043a4fd22d3d", "3be67c1aaa622d38b9e8fb66cf7c70fa76b90565", "b773a1f3cb12ff349abcb1669c4099c8cfac5e26", "dadbf643e7ce8139fe925897efc8a88d67eae061", "4c2b7c017f27f73c0611621d747d767f766f4fdc", "b7807284ba3dc91bc5893785053073acb13051bd", "427ca4d5cb4b9f0821fe640bc1136858be4cd617", "a65b5e30e9bdf578873a9e04b3054dec0d43c141", "a0e0bd5df9c226390c93d45f23e17e7768eb4bae", "e878271a2b9921455ce1a7db595fe6b9bc0642cf", "2f342d82dfb347d77dbc5ffcedfd1c451c71cfef", "11b6a536725b06aa4b691544d9d3a6b0f8f39928", "9f43722d229c4f101cef78528a08795c4fe03336", "4f9ea079b13584dfa4cacc14b456d9665ddc67d8", "a8ddbe6abea30bb8b9611c92a44e2bf60a4aedfc", "a67aee51099bfb27b566d06614a38962ecb1b3da", "d032ebf11219757a3e3d6114f985a834155fb69f", "7c45e7d56cb94c80c94f9e1b7bbae193dce5bd1b", "a3e68fcb2e3de7f1420e5ca03f78d8e894845273", "eca1579b4343aa62e2680153c711f244950df418", "e7e723e7cc33e3aca15a7f781a11d4dace26ccda", "0426e436ac8b49e5d9d9c63557fe0535e67e03c3", "dff6549fefe67bcbb60748a1f8180438f3dd8d8b", "13d8ff43dbfca58961996c95224274ed029e0cd3", "eb8112f50519730ac0a0bf6e17d8ef3a9bdf1fd6", "121ee8ad28457553a704e826897eea5a9b337a50", "ee4bcd2bcdbefc721be8a3a33d9548db626b01b4", "21d6f1b75fe721e683e97ca7ac7798069cb0ac41", "9506757087aea5f245a4e21349966829ac0d419c", "408453c6241408034e116c167da2659cee15efb5", "d9144a855258cd02cf5e2d480a99fee35fa5a86b", "da9406034003bc2082dd3e9d938aa7c859ab39fc", "539d32493a55005a1422dbf320c69d009cec126c", "e9001ea4368b808da7cabda7edd2fbd4118a3f6b", "68dee6a99d4be5b3cbcc95c370e161c59d9e0c63", "7e23d92ba6b353cef6ba3c2ffbe99dfb1e6ed3da", "e96749496c42e681aca84657d8dd44fce2c1d852", "611142ad290639f6bc31ab9a4165e5736814b91a", "33a7c2423878a9cd637922e355b79e3bc0a8cde8", "b7bb387882fa4f771713c4a22734eb0d492d69f2"], "references": ["625e2f3229d75dc6ec346961efe485617dd3e048", "2c7e2a392a267e837fcc778c47c656a4903f0844", "f9d0b0bf0433cbc1b2ee8f29c583f55c316acaa3", "2ae99862ada2972ffc144b95172be9b9842dfe7c", "b7d6c81f7bd010fffd93b92c4c20f00b5e36ae85", "11845f07fceeba9ff75db4823ff4345f071decd5", "5c2f3fe3005383a2c65a55a2cf2e77275e1db3bc", "d732bec18e06d12e9fa1873d0043deb40a8141f3", "42a7d0d20486782beccac97640f0b96987b3444e", "055c5e8675f79b526bce05bd398840bf4527fa00"]}, "processed_text": "устойчивость управляемость квадрокоптер несмотря полный потеря пропеллер"}
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{"_id": "3ad8328b066bedca77c858a399a77521563d5c99", "text": "Обнаружение корневых эксплойтов и оптимизация функций: Управление медицинскими данными на основе мобильных устройств и блокчейна", "metadata": {"authors": ["3222820", "1940692", "7701453", "3177882", "41095605", "3097765"], "year": 2018, "cited_by": [], "references": ["62a7cfab468ef3bbd763db8f80745bd93d2be7dd", "cce453ad3fffb64141762077644663761b66e04c", "e2d76fc1efbbf94a624dde792ca911e6687a4fd4", "b444e56f31694b3ba4b14f91b4b3d1a8ebc19830", "b5014cd761ffeb58aaf15842962b47cd613f2e0d", "1717dee0e8785d963e0333a0bb945757444bb651", "751f059c7cb3f3276c21c8232d7ee3ccbfe73b7b", "38a5c3427d910d48175f36038ab20223e28d7202", "43efdcc857c2a9a05006d7558785949dc5fd3716", "36f538b479322c04595d5bdc5477e92c41ad3871"]}, "processed_text": "обнаружение корнев эксплойтов оптимизация функция управление медицинский данные основа мобильный устройство блокчейн"}
{"_id": "120f80b2e2b2ce2fefdf0de644f5ee84c8647bb2", "text": "Swarm: Повышенная осведомленность, микрокоординация и интеллектуальная конвергенция с помощью мобильных групповых текстовых сообщений.", "metadata": {"authors": ["1688335", "3201269"], "year": 2006, "cited_by": ["484bb3e5149d0e0ec30d3095b7f2bc41f1b25796", "5a0c71d7cf802bfd6cb36b511b87aa89ece6d181", "d2f09b4ba271d6b96b1ed1b0bde0fc8f2b1e8a10", "57ca744718c43d7d79d2ead9a82da48525e52d9a", "0e2a58d4a98ceb5a2f60e62c44f6c93588537253", "29489f33d860f888f808ff23c21478b213da9a22", "3ac409c362fd8165be652cff570f9c9357779741", "741dc2bf1d237be39d725823bf015634987d118e", "3bc5801506f52e49c601f985ce2481a56db8e31e", "2c917153c509abf73377954addc90307eb62c2d4", "dd908444db2fe1e1d37901c7423839ab119e2864", "06f810047de0edb8100e00e6054d4c6fc2ce9c44", "f5a577195c9ce1e43d5830c6d5273dc233abf8d6", "244c2446d4cfc5bd59bdedeb7b416a3a0d974110", "c538afafe95a265b312f95c09ddf69673f249bfa", "a501a2147a478aa7f3847e0c88e9c871c5be5cb9", "682e07d19754376ff9db78b34cf545a1f171d0c5", "47bf5b8253aa71d8c7faa907e9faad5a04ff449c", "65d66325a0e34effcd378df3297a7c961dac324e", "de388f15b12aa6093cea0d47dd9ccd8436f83a8c", "c8b0b6159a78a4bb8704ad0536304fe86de2757d", "ec3c3425092181ed054cfef162be8d0d2a7586b8", "5f43f70283f1bcf8f7a2835944ac6bba364d7694"], "references": ["07792365f05ec0142e96a0358b973067bafd511c", "8182e859563b392776135dacb1a75108bb851276", "0e6f592ba74f18c79968d697cf0fff5dbecea842", "2f5560277ae3c0498cbdc881a9346515aaa1cd6a", "0d70c009aff3e7812cc6d2cf5b0396a63f00bac8", "5826627a151271e38c6f0588186ccf96d21f5a3c", "8af77fd71b929fab5b7b48021eafd9beec1f6a6b", "6c1ea8850cbe35ac48028b86d26c6472e6a356c8", "2e62b7988ebd103d495cc94e84a78fb750b8214e", "ce681e40afc73520b9a7cd90bba280e128dd0d91"]}, "processed_text": "swarm повышенный осведомлённость микрокоординация интеллектуальный конвергенция помощь мобильный групповой текстовый сообщение"}
{"_id": "11f7d9b2017abd46c756df533618d2c4326fd3cb", "text": "Структурирование контента в интерактивной драматургической архитектуре фасада", "metadata": {"authors": ["1780919", "38470643"], "year": 2005, "cited_by": ["2584d5b26684a1fe24708a32630ad11851bc01f0", "238eef14ced9e913c548997d2b90d33bc7638b3c", "3f2dcc709f37233fa6114bbca889befe71fc64fb", "d97a2024fcce83536463292a7fce360fa77672cc", "2e1a16284afcc23be2546eb5c8ac60fe7a268442", "08a88dc4db85164de01f8fa1cfe3013066c49f7d", "ad5846444cb2e3e1592c248a9025fb0aa27b26df", "410aeffff60c9cd637986c48598c2f9fa5ed1923", "800b53592a62718ae30026858215755b558baab5", "9bad1130ab4ee18acfa04077f45e23dea17f755c", "04db5aaf0ca56d067617478806c9cdc7e15d60fc", "526b707ea85c98b0ab5a67a0c803165be19b824a", "e2b1abb81e0fb4580e73b9a1cb1a3fb288fcf1b6", "8b25ebf48a19695fd328e2d98b3d47e37a7c296d", "06192c68aaaef69c1664b945b3ae055196813fda", "c5cfd374e4ae86cb68c06ac0e973072fc6713df4", "6834b359ec0fcd8a2144c13f4ec869038f5612b3", 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{"_id": "068a88330c93a41058d6e04e576d7e1a21dc6ee7", "text": "Сегментация выпуклых цветных изображений с оптимальными расстояниями транспортировки", "metadata": {"authors": ["34869369", "2147738"], "year": 2015, "cited_by": ["bb92ed2bbf47747795ecf0d2012f1bf76da1d8ba", "0bdadea798eaf39995a2c3ee4e772f579f4dff43", "f0b08a6a700a77e13b367b2bfddaba296f8ec188", "20f396f93900675a65b196c3517b0372d12b7ad5", "bb6b560727096b47a34e61304de4c476dc303d69", "5d1cf7d17b5803ca0adcb72ae245473a6de0079e", "113acffa5bcd919dbc6350eb19a0f919863a5aa6", "0c2edeba3fe0af34ddda7ff5520513f17d9bbb60", "35c124868aaaaf1a890ec415d64c2bcb74bd002e", "b3be789297c634534053bfae022f85153d886f2d", "1c25d9f677192bfafd3c8722827e452518bf40ed", "37006a42f65ca91a8119697a831b4f4c48ed3ec8"], "references": ["1b5a618b8631288dc58544bf2549cfd70feda636", "9327691fac69ecc6fbe848df94a6e5d358c76b29", "c1093aeb4a6a586ee77b0dcd3926025d97f56641", "4d99490e57794d163609713a8c7635037de548ba", "6324e35287e670a1e723a68554cad0ebda971789", "3006f2bcfd204a1615f5e5ffb067aaf1e8c0b5cd", "9163c6b79daf3d7640794db33c7e31500b1bb891", "cf96c457e0dafc430a876ce28a19fac514ab9f1d", "05ff07498f456ce7504ec1a2b6b646647157d4b8", "91eb0668423f8cd6129ad660c2b98242db178d5f"]}, "processed_text": "сегментация выпуклый цветной изображение оптимальный расстояние транспортировка"}
{"_id": "e8cda2c754670850ec722799640c6cb42dfb8199", "text": "Предложения по универсальным видеообъектам в формате 4D", "metadata": {"authors": ["3331304", "2767859", "46666148", "31553652", "1789756"], "year": 2019, "cited_by": [], "references": ["f226ec13e016943102eb7ebedab7cf3e9bef69b2", "02a5216a20423bfeda6bc49636e7a6ebfcf8576d", "a7d713f3b465feff60a5f897df9618f8c4b53103", "2be8e06bc3a4662d0e4f5bcfea45631b8beca4d0", "361b19d2c00d086fa8ef860374f5e1d862fd2f30", "4a3fd686ce675659f238c46c629b055cd58651a0", "2495ebdcb6da8d8c2e82cf57fcaab0ec003d571d", "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "1e2ae4714106a2d5f7e426d640b2f7efa43735e3", "6d4e3616d0b27957c4107ae877dc0dd4504b69ab"]}, "processed_text": "предложение универсальный видеообъект формат 4d"}
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{"_id": "3388d516fc26536423b03e1d93a3b62358a6a35f", "text": "Роль основателей в создании онлайн-групп", "metadata": {"authors": ["1702853", "2183774"], "year": 2014, "cited_by": ["7347ee0da6f5a465e4cee7320a5ea68a159cf171", "a8c713807d920b68a9276d8f997a89aba6d78e09", "4bcbd9e3fb654421d8f0701a53a072cc0c7bc0c0", "ef36d4bd64905f0b54503a1638350aba42d1ad8f", "d7776d46c7b33956d54b1aeb7a3f595afed84172", "8193584a3c4925b1e704dcca2a4c2eb533b80cad", "a13660a39d820f2462238897dc9b8b7ea494af0b", "5573586aa8b2c689579d413a2ca6a55bd4af7603", "4517e7bdb8bf1102bd1638495e4e9e5098eff309", "af506237fe28a923181245ed8bb704266b215b1a", "3282a5d9be5c1efb8690beb378dc3d9987ec0594", "251491662acf3fa30b351bba8da35b03e9ce4849", "e00d73828e9c86e043793205c2b116706ad3771a", "199db1bfb10ab20f699d8e1aa6f40e1c4f833fdc"], "references": ["62b64a2cf97d069c19383e7a1542cc4757765ce8", "53918bdc4b64efbb511927c2007f12f8a47960c0", "4140ebfd6ff708707d3140f2985200afc1f3a8ae", "659c51dbd93d870ea120a2fc227c2f08bd2c6d7a", "09031aa6d6743bebebc695955cd77c032cd9192f", "2cd0828d974ce820399ca94eea21bc96ca9a742c", "a422f0f6edb58560ed399d1e7acb6d972f3d7fff", "3d708a82e25702a28454c3060d49a9dd3a502efc", "4d75f27933805aaa69b94d9cf521fec590ca7049"]}, "processed_text": "роль основатель создание онлайн группа"}
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{"_id": "da6629447f61ef8b07ce0698b490e3fe7210c1e3", "text": "Нейросетевой подход к восстановлению отсутствующих маркеров", "metadata": {"authors": ["47512661", "1704879"], "year": 2018, "cited_by": [], "references": ["f69008e2dc2424fc1b77befcabd64cd4691a88bc", "05c025af60aeab10a3069256674325802c844212", "d03e7e3e6f9c269aae4f9af22e0c11c7c7ce9e1e", "8e9149ab00236d04db23394774e716c4f1d89231", "2382814a374fbfaa253e7830415482bf4166bd61", "46b2cd0ef7638dcb4a6220a52232712beb2fa850", "b41af68ef7a629bd9f7cea44f5f6f20395156f06", "272216c1f097706721096669d85b2843c23fa77d", "8027f50bbcee3938196c6d5519464df16c275f8d", "217dce70c6ec0a532e97b0ea1a31317f798ebb1a"]}, "processed_text": "нейросетевой подход восстановление отсутствовать маркер"}
{"_id": "6374d969a99cf8da935377750f09f61875c81173", "text": "Генерация синтетических данных из социальных сетей", "metadata": {"authors": ["51286847", "3316773", "48081553"], "year": 2018, "cited_by": [], "references": ["68cf85b585a77609a94f76ef4ad1aed61da8505d", "6de2b1058c5b717878cce4e7e50d3a372cc4aaa6", "d18f1b91129a3807ecca6692f8b85ed41fff80c9", "7fcaf4281aa6bbb3b91219f20c9ef142aac415e2", "510fb851d334be5bc07b42ff5b89c1b12c51a7e7", "c7d48de77a753d5430ac5209e3f6524a89aaedb1", "5533a834418d99f6f3ccf7cd79de177c047d52ea", "d4a925cb0ca66b1cacec325751f4a85e5b74790d", "0abe9fda6240ba72e2f76afe10d5f6181e144527", "0f56311dad9f03083a4f4e791aab0b6e0aa2ff07"]}, "processed_text": "генерация синтетический данные социальный сеть"}
{"_id": "a77e9f0bd205a7733431a6d1028f09f57f9f73b0", "text": "Мультимодальное объединение признаков для распознавания походки на основе CNN: эмпирическое сравнение", "metadata": {"authors": ["51027897", "2857233", "1712683", "6703190"], "year": 2018, "cited_by": [], "references": ["c537aa705dbd48e8edf216e9592014316980332e", "4c91ca56283200e150c1d5a71dc73234904d56ba", "e29739176a9b8fed1752784b186a96246dbf7407", "8c1e65206ce971b79ce5ccdb2e85663e43bfecbd", "53698b91709112e5bb71eeeae94607db2aefc57c", "1b2c6fb85e7e776b533fda63f92fabb04ed5e887", "2b3879873ab5f5d8f845bd0e4d5cc3962f79350c", "2e10643c3759f97b673ff8c297778c0b6c20032b", "2c080f9543febd770d6d1988508af339b4cb614d", "bdeff833f3a7c035ff2987984317493d0a02f8d9"]}, "processed_text": "мультимодальный объединение признак распознавание походка основа cnn эмпирический сравнение"}
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{"_id": "0588053b2cde6414e542c656023ade147397f597", "text": "Улучшите вставку китайских слов, используя внутреннюю структуру", "metadata": {"authors": ["46372323", "2074774", "3457229", "32349462", "2233726"], "year": 2016, "cited_by": ["5d90aab981804c756b344c0b9cabfc2d9807cdae", "58132bc95e95063e6793a844b3f99dc5d6278a66", "57b57e88edcc9a20c78388e847b42e088b451c55", "72625f4a70d87bb528d55a8d49534ddaa2513dc9", "fe76f966b52bbb22082db860e27f8f849789e4e3", "1142b876e31f9fc8c9314aa56fb6ceef628f3e0c", "92354f5350f525e950fd27f6e2ecde501d3037d7", "28f8535165e86c8e545e004c26e61ef7d4b466e3", "1a872fbfcc93e8c0fdf28c2cad82adec475f8594", "1fd28b4ab9fc74f859f8446de1b85ecce0d719be", "46ccf2c7583ec0e50b1d8570e7ddd6c779221982", "9f184e65211b10403f6db2c6c62d264bec5aae42", "2638ea993636e7fdf265e482c6397f8bee0ce535", "64b8361a133ad545cbf9c035e109ef8461b31f67", "02b378df3b18d88bebcb703379af4c4572fb3137"], "references": ["052b1d8ce63b07fec3de9dbb583772d860b7c769", "2b370c8898340432fea5d6541e8d635867f0a780", "3621bc359003e36707733650cccadf4333683293", "42ddc23cbc2c479ef5ef907d8945a648137384c0", "142f38642629b9d268999ad876af482177d36697", "03ff3f8f4d5a700fbe8f3a3e63a39523c29bb60f", "c829b63a3ae72a47e1953e1295826c7b2f93bf50", "54c32d432fb624152da7736543f2685840860a57", "1e662c87a36779dbe9f56f7ffd3ade756059d094", "4b75d707eb3ffe4607c8cdd5436c8d7f8573fed9"]}, "processed_text": "улучшить вставка китайский слово использовать внутренний структура"}
{"_id": "4cbd3754645c60ad0c6f792c503be14b99ecd1db", "text": "Новый эволюционный алгоритм интеллектуального анализа данных с приложениями для прогнозирования оттока", "metadata": {"authors": ["2157953", "31680520", "1697348"], "year": 2003, "cited_by": ["3be10c45163c61dfb9f250412699b3f8cb0ada1d", "ecfc38dca8743d5611634648e5abed91b7fb4298", "4622562f0c36dbd86b05b0a4cd5447b663fc4507", "1a63ee4e670dbc0d238c64607afc015f9dc237d0", "aba00d19f6a8c847d281af8c125e13619cdbde79", "ec526084f9c937329d0968207d6342926fce53f1", "641ed74028986a375ecd35c9d9dbcef9b005ea32", "45693159add1290a3df758feee0188041c462d80", "0b7692dcd632378a83586934e142ecb9576d3aba", "9d590aee542752a5ae44a8ddbebb84bc9550374e", "54fe6219234f2a0eb79ffe85e6f88150712b3c88", "430a2146b47522f45bf417e17bb89922f3d9fcbc", "7b2634334be67f7a95621b6d0ec3a2552933c35a", "33be72961a970b52516f494f9ef26712e0790e3b", "9e994dcb2aaccd9a5a982063c2cd9080647e5a4f", "1db1e8c6fd6b8656b3af7bf15719a33e0474f875", "5f7fce09ea6a1d9aeef25203ff8e7d9216357968", 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{"_id": "71d4e703201c98c9c9b44079600e289f234f09f2", "text": "Улучшение Атрибуции Авторства За счет Использования Профилей Синтаксического Дерева", "metadata": {"authors": ["2452336", "1704088"], "year": 2014, "cited_by": ["4d41327fc861ad9f321ad39b6f63902c9725dfd1", "7c406b33ff6d6c916d8369705bbb73d20d2d0685", "20886b3f4f23cc3dd83ed3be1c547baf9ade928a", "2f9228374f30f52b2fa6eee1770725b01db4e8ab", "b5ef586ad7751e7396cea58c7543bfc6cddef3bc", "3e3701c613aab0a531a792e1c5ff27515c86aa37", "127b758060687a8bdcbe14a286363cc292da9912", "cb612bccb8cd4030b99a365b4b78606fac9f24a5", "9098c9788db3ad789bdbcff1dd50452c9722b761"], "references": ["546924d55482cc724f0b6feb67185bc295884982", "148270722ee2aa2cf87cc28d0a36c1452364b748", "04ce064505b1635583fa0d9cc07cac7e9ea993cc", "dd596f9da673fd7b8af9a8bfaac7a1f617086fe6", "d231953fd89432823e78483af387c0962e1a3ff5", "0b44fcbeea9415d400c5f5789d6b892b6f98daff", "7844e08ba1984c5d1dc608c540d87d564028a9b8", "b9dc3177b3c2fe38485646d8dbba7f4739d7888d", "4dc8f71d618f800b37bf3772cf7710228781b886", "0f1352c477d41e541c6a03000cdfc8e71772541b"]}, "processed_text": "улучшение атрибуция авторство счёт использование профиль синтаксический дерево"}
{"_id": "b42c7b6e9fc032cf70cdcbdab05ce898be0a3a6e", "text": "Активная система подвески для планетохода", "metadata": {"authors": ["47972790", "9261990", "33168204", "36672181", "8891444", "2554860"], "year": 2014, "cited_by": ["e92f239f1a6f5ff6a0fb07b4ee0e540819a828a3", "0f6ffaa67191da6842cfc4f5f4fb96699c02d4ab", "0f7607490b0859c77c225fee0cc6f1658b2ac2f1", "87fdef364540029d4a037885e249f448976fa8c0", "52ba12a40d96f38450b16ce0d2539dd37a275c04", "5c9d7789579d76e51c69878bd50ed175e9cfe05a", "88b2ade7dbc9e54be938bf92612dcb0cd0c445e9", "92cf8651648be847b673596168d93640c2b191ce", "48c888b702f7fc26b43a9f9febdaa6c1852eaf53"], "references": ["1f8795ab9cd629b0a7fd181deeb1aa65270de760", "8278b086b02972dee29ae85992c68780d02880f6", "1dcf827c9f34da5a94a496aee01b99521de95479", "e92f239f1a6f5ff6a0fb07b4ee0e540819a828a3", "0ae128e315ebeda031f7b491a2149e5d60c4fd1a", "5ae26c80b3ea607e54cd0dad5ef4505156fbba24", "bb3a2ee53313f356133d1e4325324a280333ad04", "72c9bdcb0c538be195275e3bbd1bce80a1814ac0", "4564a491ff40fd093c6b1d206bb493ee3931b252"]}, "processed_text": "активный система подвеска планетоход"}
{"_id": "9cf96ff9e1a0521df025ffa74ca6ff3acbea2d36", "text": "Размещение мобильных устройств внутри помещений с помощью гибкого развертывания iBeacon", "metadata": {"authors": ["2561170", "3143489", "28051054"], "year": 2015, "cited_by": ["1954c6eec7e545bd8ba55137aab44410b0244679", "7a02125d5926800b17934eb3e93201ba60279c80", "84895b1b1052d25626197f2abb609b37f751cea4", "efd893601abfce6ba567207721ed9ff09fcb6f4e", "18facb4f6ddbb40ab2bbbc2b95b015d3ceacf156", "320f6cdf41b2fab0624d8fa6f9b903d1255299b3", "e6b0e69f43e108563164c6296c559664c3d7fc83", "eedfe35894f409e2aa806249c84ac6186e413303", "11eb4fe05a8ee36dab3dc193b8e51f84280ce1f0", "066cfb0bd8e78bfd93b8330e50f780e28a45d392", "9c88f763bd9141b1e4cd428e72e7e105001099f0", "235a731e7741c82750115eb8922b71028b478043", "e089cb9fab99d3ee9ce64efff96ba04aaf399483", "21b4619c95526c1027b3ac712da136322adc6c97", "33ed72614401b7d65ebf474936d618f117e60daf", "3f151e87c3295b0635844798f9122bb7cd31d213", "5aaab20ae26d1fc3918e905437bda308611366f0", "6af0f58abad866ae448a0f721c597873eedd96ee", "f39175ff164d5c820203b1fad5eb60f31dc0848d", "0b00dd399f4a2677bfdb7155a94bb4daca779dc8", "1c36da5f19b69193fbfe8252a427bd83970581d9", "d1dd7644fe451d0e9171501eb34cfe8b56e28515", "d87e1202e8ab6af8509a81444fe6c71e5f6d93cd"], "references": ["0b0aca78dd2cb0776d7a526af7198348683ac407", "766690d6d52ee9bbb73bb1c0b594bbe7e1b4e9c9", "18faa211eb7ba2645bb7403d9010878126d68442", "3d6248c64394f6cc791f5037ee347517b85144c8", "bb5ccc61cc1c20fdec5d3d2ec1b5dda0619c65f1", "3f1cff91cdd16a5fda8ffde21a1062771be48474", "de64bcc72ccb4e58af3d843e09af127bb4e66954", "61160c47c71da04fd7aed96847fbd7fec756e207", "6a00886b6d0b25f5e752382ca8395b6884351985", "56f491ab34991a729c7e9e6cb111551fcc9e6709"]}, "processed_text": "размещение мобильный устройство внутри помещение помощь гибкий развёртывание ibeacon"}
{"_id": "a46d0a41ef1b28ec06a0a849c4c56bbe725b6964", "text": "Доброкачественная зависть, социальные сети и культура Завершили исследовательскую работу", "metadata": {"authors": ["46365497", "1826706"], "year": 2017, "cited_by": [], "references": ["846b59235a7b6f55728e2f308bb1f97a4a6dceba", "56ca8ae59288b20692a549887677f58f91e77954", "80ed14dd36f0178f5048ba4994e399ea1a1d8c71", "6de4e806365af08e3445eb374fee96df74e08384", "dd5c4d95353c4ad212572c6a92882967e4efee61", "d79b9c6059ba85721fa2f639afded99b5463ab8e", "11fdccf13d0b71f98c9635ccf5f4909056f9818a", "c8658ecc57f801c197ee8a0d20e4c9aac7e89f5d", "4248a9dcabd62b14fa7181ae11e0b27bb08b1c95", "6b8fe767239a34e25e71e99bd8b8a64f8279d7f4"]}, "processed_text": "доброкачественный зависть социальный сеть культура завершить исследовательский работа"}
{"_id": "645802c55d809d5bf27f391837078689f7bf2333", "text": "Может ли Google сейчас отслеживать тенденции развития иранских мобильных игр на рынке?", "metadata": {"authors": ["2581686", "6281712"], "year": 2016, "cited_by": ["fc9960241ddb89b1ca7770b980ce51b5fdc83907", "d2496c2afc4e28af85d883b0ef05387cfbd2cbd4", "5ea592e2dd12201c88bfb008fd3ad83f37463208", "f15845414cef7637b8d47fc1bd0baf3c8bb82830"], "references": ["956c74224a70cbd6024f62d3530f92a439b34f3f", "6bd87d13b5633495f93699e80220492035a92716", "23eb5f05d8efd7399c27f46685067cb25c4dd197", "e80ac3858d673068e86e1cd6c2684826cbcdcd0d", "b6a722361fdcb2a92887dd3986209e937c325d36", "2b5081abd1c0a606f63c58bfcf47bea6d2075ac5", "27ca026cc9bd7092799bb74ee8224a1ee044c515", "dccb0011ad1e538d070494918cdc80f932f71e34"]}, "processed_text": "мочь google отслеживать тенденция развитие иранский мобильный игра рынок"}
{"_id": "706bfa16c853850fdd58f191e4e5befaa6952a00", "text": "Методы обработки сигналов для улучшения характеристик углового разрешения в гомодинных радиолокаторах FMCW", "metadata": {"authors": ["31146802", "8766653", "31891104", "8780535"], "year": 2016, "cited_by": [], "references": ["b6c7e13f5bfafa755374918dba16b8033e54280c", "0cbb6702dca954bc8b39288f245abe66110b41b7", "36d01339c386df6df4ab191bd8b534a42f6ac90f", "8efe3b64ee8a936e583b18b415d0071a1cd65a7c", "a1f5e3abc7bfbc61f1aec81b43d37550c0f54137", "909d769be0dc2016a12a20a30463484b62f16187", "908f48cf72e0724a80baf87913f1b8534ed5a380", "c5b34feaeae740a24360b4d4e9585280d9a5e106"]}, "processed_text": "метод обработка сигнал улучшение характеристика угловой разрешение гомодинный радиолокатор fmcw"}
{"_id": "f4195462f27158c4afd86ca364347dacfd228bdd", "text": "На пути к созданию системы информационной безопасности для автомобильной отрасли", "metadata": {"authors": ["2382415", "1804753", "3114596"], "year": 2014, "cited_by": [], "references": ["a1f7e8c62397dfb02fc82afb8a74e4d18187a677", "a3ec25da8c2150e904eb8e66407da8c6812322f9", "a608bd857a131fe0d9e10c2219747b9fa03c5afc", "cdbb46785f9b9acf8d03f3f8aba58b201f06639f", "7b1e18688dae102b8702a074f71bbea8ba540998", "72919ddd530f81b1576d7ad22ff90908e55576d9"]}, "processed_text": "путь создание система информационный безопасность автомобильный отрасль"}
{"_id": "a73039275a77df6789d422265496de1ab8f0899a", "text": "Оптимизированный алгоритм Флойда для решения задачи о кратчайшем пути", "metadata": {"authors": ["3288840"], "year": 2010, "cited_by": ["898bdc7fee57d3df6821ae04af76ff37a9c84ba5", "0b12afb6a0c3c84c56de2ebe1510e7734d521c14", "abe10451d5453e4884e2b50442643eaed9454eca", "bb6141b93463e56b7ab69f75d044cf3b44911200", "8626e0885ade7da15dff646a0b8f282881c4fcc0", "85b012e2ce65be26e3a807b44029f9f03a483fbc", "b7b8d1acdc3c34e25ff1ac9402a8e4181b1d6f7f", "f062eeb99033400c4437908fbb4d72fcf8bedc78", "6919cdfe88612969c15bf132a00094c2dd091619", "7582747f014342f80fa4f7754c724bf79d4d6b81", "68f05cd5266236aedb9f8ff1ddba2ecabf49242c", "e3c1e9463ff0e43ddea5a4ef58488476c518a59c", "f2f3aa4c1eae3a4ed39b2aa79ee826b626d17394", "91ab078c5261cdd3d08141484ebc3a491db7670b"], "references": ["bca568c230cfd9669325e22757634718557940a3", "39d1a664f1a6f87ba50d019a6516e99a2df099a5", "e67173932635dee76bcc99c445174db077445fce", "6b1db65d2dd132d29c2e674e9ad8d9aac3fe1460", "1615369e21535deee66f43936fcd422d8002679d", "4539e06858b5bc82f7b2adfe5309806c208036b0", "95860601e865fcfd191fe49a1467ad13ab35a39d", "68eec4fcb0f46f83e6f18f8c63dffd80083d46f4", "823d00cb66bcd944c70dc4d4f75ce8b030f83d24", "3b82ed74a9106160077ff655db17e766b47da1b7"]}, "processed_text": "оптимизировать алгоритм флойд решение задача краткий путь"}
{"_id": "86095343140a2bb7d3966215fa269981eb2f19b9", "text": "Исследование автоматического распознавания речи в шумных аудиториях для автоматизированного анализа диалогов", "metadata": {"authors": ["2963886", "46754646", "1731622", "46598266", "49816355", "2514781", "1910685", "2674835", "1724145"], "year": 2015, "cited_by": ["0de87067d7eb1a2e325f6eac8c3856e70e7fba4f", "a3bf7ba258ebdbe8a09b3edef3b3fcb25b16f049", "4bc8f1f987a18e1625fb60465c311e0f7293b5ce", "b5ee4397c3c63972246d73d3deb4f54968844fba", "c6088885af0dcd0373dae21de2990b53ff63fe6b", "d3ef24ba4c05c2483e8d425b34cb8efcbdb58d79"], "references": ["36c46dc485b20d4e367bd64b0411146490d7ae9b", "7d060fc04306580d8693e1335caf4c37ad83357b", "ca92bbbfae48014e121beda39c6578a3ee4e4bc3", "351cc4032bd693ab1a8ead12f56c32f5163df613", "48d025caefa7e2f1cc99b59b73e7a151c3d94fb3", "016630ac32581cb7e1f15396f559f2a39768ae47", "3d5575a554dae9f244c5b552a567874524302756", "2c0d8b0b7727eaa7600d96d539e724d7cd88a988", "4c5c16b21d8b260b1f1a99920ec840deed38705b", "7e7a9771e954ed0e6605986b4d2e53be7b7a9550"]}, "processed_text": "исследование автоматический распознавание речь шумный аудитория автоматизированный анализ диалог"}
{"_id": "3159c9423862b22c6326801ad4353ae2cfe30d32", "text": "Понимание ситуации с междоменным трафиком: Подход к обучению передаче данных на основе плотной переписки", "metadata": {"authors": ["8027296", "1720776", "9171002", "50994312", "2353770", "1805398"], "year": 2018, "cited_by": ["6094da34d6499dcc0bcb1331aa7c8ae4000f7494"], "references": ["f5a52b69dde106cb69cb7c35dd8ca23071966876", "0a59337568cbf74e7371fb543f7ca34bbc2153ac", "069c40a8ca5305c9a0734c1f6134eb19a678f4ab", "16f8650736ca07035344299707ae624fd1451199", "ed9db7b20e019cdb1c7db8b7921221ee2d9f36e2", "9b52a30439517b59edb401e671d12b895aababc2", "7bbacae9177e5349090336c23718a51bc94f6bfc", "51a4d658c93c5169eef7568d3d1cf53e8e495087", "285faa4cc54ef9b1834128705e0f96ad17b61e0b", "da574437bde83aaa879f6285cf0a2676c85219bf"]}, "processed_text": "понимание ситуация междоменный трафик подход обучение передача данные основа плотный переписка"}
{"_id": "703099734f70f0cc00773ee54b4385f89afa7afe", "text": "Слабо контролируемая семантическая сегментация изображений с помощью самокорректирующихся сетей", "metadata": {"authors": ["31515231", "3214848", "2957256"], "year": 2018, "cited_by": [], "references": ["8a3c5507237957d013a0fe0f082cab7f757af6ee", "39978ba7c83333475d6825d0ff897692933895fc", "165ef2b5f86b9b2c68b652391db5ece8c5a0bc7e", "57bbbfea63019a57ef658a27622c357978400a50", "70a24d43cbc4525972bc811fe0b8e9e24aefd3bd", "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "0bb4401b9a1b064c513bda3001f43f8f2f3e28de", "9201bf6f8222c2335913002e13fbac640fc0f4ec", "b35e6150be354b682fab191f28c9bc9ab6201c74", "32cde90437ab5a70cf003ea36f66f2de0e24b3ab"]}, "processed_text": "слабо контролировать семантический сегментация изображение помощь самокорректирующийся сеть"}
{"_id": "b6981a7736e3ae0c8b90debc0e9c2fde9b66b502", "text": "Личностная согласованность у собак: метаанализ", "metadata": {"authors": ["4746842", "3602446", "4522026", "2705485"], "year": 2013, "cited_by": ["d9896b5d5e12d54b23ebb59d646aae687eebb9d1", "0bade93d25e01c50fc179c68f7db9632e655ca73", "be6906db07132694a8ee9a9a0aab1d25038577e3", "4a7f77ec0aa82562e86e6e5e7f5bca2c5395018c", "ff0adf5b051ce48dca81ce9382f4582606b0c886", "3a54cb591489f8a420af3fff68c5d0d8ba39724a", "c46ce48e3344c702b0a5f5e7b9cab32f72ca1b99", "872ea6111c1d4ae80d67ddf6cce799dbe37c6824", "709a5de6fc389ab3b2c72456ea57718d24d149a1", "1319644c2a9b08968cc7e83673904f4010c5a9b0", "10fa96cc6cb22d73ee940b733c58e9af7a673bd2", "9fdaa33ed6cdcfa11154944781e9ba914748a5d9", "eab1010e89cb7f49114b756f4341bd6b0110cfd0", "3d5da37111d0bc16457664f7d4447c6d512b3486", "96bebe37bbde094a212bfdcdf70f9b846a0531c2", "b5b732154aafdb443c7b1c8b662d204e60ce4e17", "eac7b4f49294f3da3e45214cd35d0becf57db13e", "713ecee23d9857c1d0b8c7fd6ca753ff79f2fb7e", "c8ebb46bcf71c2576827ee13fda84c9350ec36b7", "445643c37ff24edafc40bb8ebb2d67a0fd76aa3e", "3b7f86efe681a7070dc716ef7c62b432c97cbd54", "9705325b8db270962d18d47a335be5990e902186", "d49c34ff214a539771491bcc0867f3bbc86e977f", "034a8026bb7166664fd2fc9df88f102348352d9b", "6bc1bdea1df93d46b918f926c9f9c60ecff0282a", "3bcfbc8dcf9d091d84bff438bed9624102a9e908", "ae9d5236dbb36bb30672609f53c7ca6ca09c9ec7", "0292ea4a1d3af583954e655f64fa28eec47ca6c8", "5f87e767c29a80af1e6e71daeae380be1bbe5c27", "c338a0409db4e2419b7161483c111165569959f6", "f7b1d1beef72f5c70370b4dbee458a23ffbc8cc4", "60ab174e80fdea82a943f79ada1d9eb9b2f8adff", "35a3902b71f9b34fac1d45d279dad4dce4efa8b6", "f08d2c5652ef8868c440619ecabc9625fb0d6d26", "031026e4e253cbd9e73062ea07e97ca8f7b3e6ce", "b3925e78fe7af73380eb48b0ef10962d5280281e"], "references": ["f42f512fb7feb3bcd2d8c21571d6fa6d1dbb8a44", "99832237bfe2a904638632cadc59cb26210404ea", "10a012daccba8aa0e1bdcfca5f83fcf2df84de87", "48ae942275f106aaa14e88b6908299ed4f2aa28c", "2c947e308a4cbc07c4021a9ca96f238adc30557e", "a59d016240eb73080bece681676bab57f01566aa", "6d426910acb83373ab5caf5f31f1be127bfc666e", "424f9d79fb55608c5582802cf97097c2dcc8ecc0", "669f98c4a475123295ce520613a0005d95477c34", "2c483b308b9fcd08c892070973203f8b4d61f4d6"]}, "processed_text": "личностный согласованность собака метаанализ"}
{"_id": "c3dafc91e315d27933b6420be2a77f5639881213", "text": "Эмпирическое исследование методов неконтролируемой сегментации китайских слов для SMT на крупномасштабных корпусах", "metadata": {"authors": ["1695583", "1802277", "2987548", "1698363"], "year": 2014, "cited_by": ["226ceb666cdb2090fc3ab786129e83f3ced56e05", "29f34fac223ade541fb3ce3afff8699b11ed6ea8", "f49a0227dcd05480aaf3901b10358e67307459f7", "3d50494b012d72f1f87377cb6de13f0535c55029", "de12e7ecf32523ac9b480d3dab052ec5b43ebef9", "78e592524e336afdf586c51ac228488a71e31340", "1c928a99f4c5f7c9f9aec238e64ee1cdecb3fe01", "3ad5aea3a98dbf00eb8800816040dbee88572f72"], "references": ["11aedb8f95a007363017dae311fc525f67bd7876", "65e90d9f6754d32db464f635e7fdec672fad9ccf", "0e2795b1329b25ba3709584b96fd5cb4c96f6f22", "61bb90d7f3639d98bae307fd76fe4c6076accebf", "9048314823da03b3e24c5721a601e66bae2acc07", "07ad8fdd66b3251c872f2478b90bb6956555fa8d", "9703efad5e36e1ef3ab2292144c1a796515e5f6a", "51c88cf10b75ed1a5445660cc64cee3d1c6fd8c5", "2425a03c3c2f0b1119430c2b13811a0b38dedf5c", "a2c2999b134ba376c5ba3b610900a8d07722ccb3"]}, "processed_text": "эмпирический исследование метод неконтролируемый сегментация китайский слово smt крупномасштабный корпус"}
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{"_id": "6b6afc9557dc0670bf2792bde4c4389ac52c707f", "text": "Какое действие вызывает это? На пути к наивному предсказанию физического действия-эффекта", "metadata": {"authors": ["1909300", "1707259", "47569745", "3193409"], "year": 2018, "cited_by": ["0e3c3599bf5dc2e24e724f097b80948f25c57d1d", "fa33e20a3265d9a506c11a392cde9c367c30284e"], "references": ["be86d88ecb4192eaf512f29c461e684eb6c35257", "eb597cceec6e0889d1423ae688e8854bfa6f822d", "98aa1650071dd259f45742dae4b97ef13a9de08a", "4991785cb0e6ee3d0b7823b59e144fb80ca3a83e", "bffaa43cc80a0527da156058ab6d5f64febf56fb", "77e3c48aa10535276e7f570a3af594ba63de7d65", "75ca89e6286bce65e45f2f01864d2b98b67ff46c", "099b097ecbadf722489f2ff9c1a1fcfc28ac7dbb", "2538e3eb24d26f31482c479d95d2e26c0e79b990", "161609189329c1b5e11bb584a746955bb0c365a2"]}, "processed_text": "действие вызывать это путь наивный предсказание физический действие эффект"}
{"_id": "505942c5f9b5779bda2859e22e9ed0b1c0c7b54a", "text": "На пути к 3D-распознаванию лиц в реальном времени: Подход без регистрации с использованием детального сопоставления дескрипторов 3D-ключевых точек", "metadata": {"authors": ["1680740", "31454775", "14472237", "40013375", "34086868"], "year": 2014, "cited_by": ["9a39544ddd5e03817fff4a527ad22e15ac51eeb2", "2200da22dc4e626909965f39d0e880ceb28c31b3", "ae93008a90842c113a426dae46a821a9a42ed731", "d1318b84c082befd4eb9de651fd524de5378807d", "a4bb791b135bdc721c8fcc5bdef612ca654d7377", "406aa875ef46ef105c3accdbb7885927ef150474", "104ac33f00d0fb9c58d6176c2f94de8654e6fb84", "20260d36506911e04ad1efed1e60b06bfc178d52", "ca811f4bb2984aad00d5763c806decc5268e359b", "cb124b7019f6c1d2b25d8a18a51d78cd12b511be", "73538b5888b57b0dd3a7b56c61400e7cde55f6ad", "d777a50d8a1715558f6c708fc2bc5a6885c33720", "79d805785ae28fb14423ee4124c32e49aa6e07a2", "6a14371d6ae6260864db7e4250379b3f97aa9591", "219a40b7c85ccdd377feef710aa9ea226c2932c1", "4d46fd59364ed5ec8f50abe68cd7886379bfd80a", "03a6cc09984669e3e85c779363a93ae7c7b5f124", "abf5562757150545dfc1d6a552d84dcf766374ff", "c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee", "d7b534178ef47def4aea4850782b13ef21bf8e96", "ab450a7968555532d9ea79f81189c0d52f9c5f11", "b3144ebefb0a59520a99315ecd6fa4593b3eb99f", "548d25088fd4acf71764f9c5d0c01901a13e6eed", "773b8f5efcc972676784a572d1217bc9d9b2a5a7", "abc7d58f31cc967230018c63e8a0775b38c9f933", "233ee51b2a874381c28e2c54515e5c92aec33316", "761f2288b1b0cea385b0b9a89bb068593d94d6bd", "88e3aefe454e72388bbbe7dfa0b74fcfc52032f0", "7870b08a65c815b49e554530c93936380833a325", "1bc075fd7cc4bd847c9dbf4e990f295954b89fe6", "c2251f1427a7e0c8e94a70950d8f08c205aa3e66", "ac3c384160bf39cc702fca10f72829f384813eae", "a0257e8cbd5eefa66f2608768d49297415560260", "521482c2089c62a59996425603d8264832998403", "780ef0cfcd8ec561519ee20e03bf7ea4e4712126", "7a949e9ca3900af72a92b7eb3b19e7b36b9b2e86", "383ff2d66fecdc2fd02a31ac1fa392f48e578296", "aa156f7e2e8537b9d9cc8257e7469563a65d977c", "88f51f4e7fc2c963a4e0815862258fd7e1e05d58", "2632bdc0add112b4ced6cc5aeb7ee37eb3d10db2", "951b133220921ce04e9da9d189077124be2b9af1"], "references": ["0601416ade6707c689b44a5bb67dab58d5c27814", "1fbb93701bc417f7b7e3273f05dccb385826a984", "0ae6b023b599a17cf32b83606a9565c3ad539ecf", "7b3b6b874b89f22c46cc481448171a28ec919a55", "0eb7a91ff9ce61ff22a7e410934402f0b70fd8a2", "92799a9754a9481e3e90aa59dfe56e9b21b70cfc", "7608953ef5c7a882bd2e7e7053a600e543748233", "860df05a7345c8cebc48ad6c9c860ae7dc88e672", "62d9750adb300cd53fb107b174cb6a07fb8b96b5", "f921e6f5085f1ebbd8289081e499240a89bf6c43"]}, "processed_text": "путь 3d распознавание лицо реальный время подход регистрация использование детальный сопоставление дескриптор 3d ключевой точка"}
{"_id": "6745710034803993433dd42001a860d70c99f75c", "text": "Глубокие рекуррентные модели с быстрыми подключениями для нейронного машинного перевода", "metadata": {"authors": ["46618849", "2357666", "2223101", "1695363", "47210488"], "year": 2016, "cited_by": ["475e3a17cad15b484a4c162dda8b6419eb4604f4", "bb669de2fce407df2f5cb2f8c51dedee3f467e04", "b7ad8f1fe702d2d57a65353779b613f743f2c806", "2e75e9e010d5f9c3acf83eee2ae32afc25acd7b0", "97faeefa771e8cc8e55159e2bd03e6f5eef249a8", "dc96cf9352dbc2edaca17624e21089bc8b223649", "0c43dfe8a834fce0467ba6a74b2daeebb5bb8b53", "ff4dde4e30236747fa2b3539a4bfcc786f1ae6bc", "1291cb46c901d71d5512cd13fd12e3164328e3b2", "1b2f2bb90fb08d0e02eabb152120dbf1d6e5837e", "84a90877a317dd28d836fcb0e5c1fb292d3b91bc", "64f5b9a18c43f22ed5d50bd3e8a138f7947ff81d", "883b0c17021c83699fe80d1996431dcd3763b869", "324ea80498c82df4d289d65abd7035ec380450f5", "39583062edc6fcf31feba6529b3adf040eb1a53f", "44fcb91c6c436902edb35b4c453c34fb353b14ad", "00d5d9993bc57277100110be9e594d4731d318ac", "c0451aee5609ace685d72aa3a78e8208f56169cd", "6e84da9f173ae8e058c676339f5fc0e4e2649abb", "83db1afa7f0f693db0b596b88b8533abea08ee45", "7e960b6479d1071b507d0014776adecb3480748d", "4ab6ffdf7ee2136a1750e2624fe3e1189705912d", "37ac87ccea1cc9c78a0921693dd3321246e5ef07", "125078b7009e6f82506c1690f8b4e99610045dd5", "4ba8c95ea38c6377fd0b3dd7d8658804083fbf2f", "79aefdfb7b41ce8f88cccfdf88b3e0345cd7e2ec", "39f3f9d22a072d0ccf423aa31bacbb4071ac0644", "7313a2b7484eb596fa7f66f1a9d9b224b9198104", "0b2c790fc30e39d275856cee1aa54002fc1ec0c9", "66d21f5f029fcf2346196637792eaeed36b61e81", "f2b96a0db7fd637952f7fd02ed95bfdadeb09977", "32a93598e8a338496f04a0ace81b0768c2ef059d", "558272dd8e4d840560a5a247b0e989c48f8a97aa", "54327a66de86f262674ecfd2f1f5bd00b4cf5ac5", "4287831564f99d3e9af102d451a3087c20171490", "c70df347923d90e05ff19ebd724ffc2fd6232594", "436b07bebaa1d1f05ef85415e10374048d25334d", "d559ad1343838494f1e14717590dd0ca4fea87b2", "062be14f127e590a8476fdb535337d4d7e1caad9", "30e0b5cb62be2dc2c14d3ecae7cccceddfeab4c8", "4508f81033c9a7cec785ce4d16f1193920c1b341", "3861ae2a6bdd2a759c2d901a6583e63a216bc2fc", "173f74a57793bf65a987f01decfb7026d6c8e4c3", "97ed8498fb287b4c99a6452c7693931dbfa82ae9", "deff3b0635e141297238797d924d7a9aba3a132a", "8876e2d42c6f743a7eb82e71898a004aad14b688", "013b73e32ea4d908692d606d0465cb3f1bba442d", "0b0cf7e00e7532e38238a9164f0a8db2574be2ea", "79b62f336ba279d620f2496637a234fdc4824116", "98ab89f55355a25a33df4378e63262fce0cb7f52", "88a4cac66c62549fe86a4b0d0c13fe6a59900146", "53bbf76a145d992d085654e42b47276f236642ec", "3b7d61f8e7158fdcd126a7c2e814fab04578cf1e", "ef7d230c4f24ccc1c70fe9fbfb8936488aea92ba", "72c9be09328cb9d3fdaacd976c63ffbfc237bb9c", "d0e86d5e85d3e1bfc33a5298297867cd6489a6a6", "cae3bc55809a531a933bf6071550eeb3a2632f55", "8fec5d6ac57e90f459e7330775165f2671abc445", "f7fcc6057b29a9b425ad3c5f26dd182aae250780", "fa4c05b2450da5f888177a322c1f9b1c4e4435c3", "c6850869aa5e78a107c378d2e8bfa39633158c0c", "2e7ddc611c414a0bf26e546f8dc743a5ac5842cf", "90bec6f106f6d8d60cd939d594568bfc0f1393d9", "d86148e6ffb6de28616381125ab0f7e92e2ba898", "5b37fc4b9b93b3f4ce6da33f825904716a4e6e6c", "3c4015c0552b29744093d58b682235f87a8d20b1", "037ee567b544563406ba9abbd967984eadf62b58", "c41516420ddbd0f29e010ca259a74c1fc2da0466", "534f66bae51ca15b14f2b65c61285c59845db863"], "references": ["89a6412f009f6ffbdd11399bda8b02161caf56fc", "141378662f78978496e7be9005c8b73e418f869e", "cb4c88c00fdf9c521463c9191024391566f128be", "368f3dea4f12c77dfc9b7203f3ab2b9efaecb635", "ba18247cd3ce9f711eecc7296f1c3561dbfb6cc2", "c9ab6adcf149c740b03ef3759260719af4f7ce07", "73c2a58c936ba2d269491548ef32644c5e982199", "a739ae988ba0e3ff232f4507627dfc282ba7b3f4", "2116b2eaaece4af9c28c32af2728f3d49b792cf9", "05014b04223562c7c7485a1277552564d0ddc6de"]}, "processed_text": "глубокий рекуррентный модель быстрый подключение нейронный машинный перевод"}
{"_id": "7c8a65bb8e328d8c5bbd352ed4baadc82144dd8b", "text": "Размышления о транспортных сетях Ad Hoc (VANETs) в реальных сценариях дорожного движения", "metadata": {"authors": ["1887805", "49656120", "2653235"], "year": 2012, "cited_by": ["350545f3188101f4f0b0f2f143219831ac23994b"], "references": ["e1e4398d59857cea328cffd025d153f5341aa0f1", "9503f33f1f6fadab449472a60a6f8c02f31d2ca4", "aae96baababdbe75d0ad49bfd8738016cbac20c3", "e416a4930058b0a505bc02dc7c3b9bcc842550bc", "ebcae59f4fefe0dece6e7e7031fdc9c8503a09c2", "4c563a136deff142909e5208a6c713d120a5eb83", "fa5728247a11f57d96f9072b07944bbefb47a97f", "3442888cb20aa907b3b2dbe9edf82cf613d4d35b"]}, "processed_text": "размышление транспортный сеть ad hoc vanets реальный сценарий дорожный движение"}
{"_id": "81b14341e3e063d819d032b6ce0bc0be0917c867", "text": "Автономная навигация транспортного средства путем построения трехмерной карты и определения траектории движения человека с помощью ЛИДАРА", "metadata": {"authors": ["1735977", "49259471", "1835047", "50188715", "3095662", "2199038", "3176072", "2612219", "1709999", "1709701", "34643126"], "year": 2013, "cited_by": ["84f776cd1b9a57a095536ed6d283394185c4ea2d", "36ff74ad883714dbb2f5b460af24547cd1253094"], "references": ["f69c83aab19183795af7612c3f224b5e116f242a", "75d5a6112f7fd9b2953fb538be331fbea7414ab4", "fae7ec399034e1e31ddceb3cece413c7c404299f", "1c0fb6b1bbfde0f9bab6268f5609cce2bd3bc5bd", "6b247cab5fa3665e5b92b3c366e1bde449eeb42a", "41f712a51b1490937fe494e80debeb87f09d7abe"]}, "processed_text": "автономный навигация транспортный средство путём построение трёхмерный карта определение траектория движение человек помощь лидар"}
{"_id": "86c925d1a737fe3d29fa5388ede48cf87700cb89", "text": "Полностью автоматический генератор кроссвордов", "metadata": {"authors": ["3053033", "1767359", "35251916", "1704869"], "year": 2008, "cited_by": ["60622459f53ca58625818278e7072bd87a268c7d", "7af86c2505c80c94e34b24dfa64345840183e127"], "references": ["6a473e9e0a2183928b2d78bddf4b3d01ff46c454", "317a91a51dbd37b577320127b3921cd2008b5a8c", "123e98412253f2b8a602a0d699a5f493e17c62ef", "5e3f0dd9bbb4f9f9d819811e5b2c367bf29ad1d4", "3032dadcb4ccd6fcd2e2881579df0ee2ab6c71ae", "74f9cd73d95ddb6bf64b946aa9f5ddeaedf4b345", "3787980e3f4c2e0e20a08027ec1eff18b4fd0c0a", "1de1b304d476488a4de29bedadd40364904c7637", "2666feee8ae59371aa0d42130c26f7368db789d3", "24beb987b722d4a25d3157a43000e685aa8f8874"]}, "processed_text": "полностью автоматический генератор кроссворд"}
{"_id": "14ee77995be77780bdba07fa7f1613fb5ad09409", "text": "Статистический синтаксический перевод с расширенной областью локализации", "metadata": {"authors": ["48544960", "1710034"], "year": 2006, "cited_by": ["3858c6e1e065923e8384fc1eb09a16fa30f0d61a", "7859f1b76ef1f77d44467f00280b735611d3189d", "a994ed8bac53bf7cf70d428d71cf1e2940fb4351", "4fc1aa74d1adfa5af3d78cadabf583fb3c8484ee", "4bcd494da6c54b2e0700de7b239c008121347f3d", "1a6b7cf5e1a3e069338498d1c17aa7d46c1ac7e9", "731213ebb8d9c678647a9253cfe1d683801b1f39", "ca54a09ba8126437614e6060d8f58fa6f9d35a4b", "961d57fc4bf51f73d8fa6bb30a7d5566255c1f82", "d1d94e1eed6d72963601044c96153dec5959b657", "0ad16e18cbf62a3af3c4487db704496f454fd2bd", "3e54ccee39691792d40146848023ea8793b690dd", "59c7c42d79bc36cb5073677689af174ef93d0f07", "f1d9e27f36b25786f7972405393152be813c0658", "c5890c52ddb62b541287cbe4a1dbb195c49d6102", "8fbedd9fd66d5630f10ae0d2586e2a11bb6728ac", "bb5ac6dc53797457c934ce62c0b81e49bf6383b2", 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{"_id": "d4cb7ecfe297b34bf8763ed65dc8ffd2ca806963", "text": "Обнаружение плоскости в данных облака точек", "metadata": {"authors": ["34842683", "1707686"], "year": 2010, "cited_by": ["818a2a1dd4fb27b82aa0f8bc2d1d2dc9242f0602", "1bfff66246d242dfb0417d4e8daaa95ea906701e", "b6d30c0a4ac93d66f222d0fdc8f2c05ef35d3025", "5b33e6edcecfd94d5e92f325f5044225804124c4", "04bf170753cee3d1da1b9ab41a5b0874685142fa", "58be7df05c4045c97aa718ecb0d64e83dad0bee1", "a929e63c9f9c0c9f174d8aec771866343c4383f2", "7143770ba633df5f7e41d0e67b55148983954fe8", "1d11537d63f2d1f2b9bd27a9c818a712e79b6c6f", "fcd9a3ec1878a9d6f1ad6d6a02a6876e3db1ea31", "0a31f450a4b778b912b375d413684e5dbc09540f", "8a7d28b963a14c6a5c2b6d3b4cc53c7c39526d62", "56b8771a8394e1242c17e490579362358a52d9f1", "4a08d12b549f4685d859c6432ae26db930b5c796", "5c6f56a8a2d1a55523ff36d4706343ed3558da8a", "1189fcba5fe286aec3b82759968ea45e3e8636f6", "b479a0f1118164ae742d231acc95fdce9d3a3c0f", "2c42a96051d070da795832ecfe717b3495579d89", "db633facf735fdd26a1b8794ce2b3c8f1799ebb7", "ef6f418c57b32cf0e0acdf93fe346b5634f2ee97", "6db9361775cfa28617f0a3732e66b4a6a5bb98a0", "bdecc15a07f2ac8bad367e681b6c40de4bb104f3", "35c3eb0892426da99c41255cab129153917a32ea", "08ac84ce789077f19e27fcc35c71fc237f728220", "b584c432e09b1b79aeaaaa0a8a6752f4a5169358", "af8261ca1fc8e111cc344c0f3e26c09e39246983", "6d4ac80b789963f62f0b6206ffdce334bb340b2f", "a00adc0ea118de3d9b8511fc0d5ff3b879bb4bc4", "80b4c17eac300c9fd4ec1f77000f945a1c20c7dd", "c1b71d7a0305879f124881f9de50a66a05a56221", "455874af9ee100924865dcda6334486195f13d60", "d20d3811d13b8c7daf4972dc9d0ff304d9bda0d2", "833090a4c3bf05c8a1ed8911332452a4c5db1a2e", "dd70d8cad52a3b4e0b1a03c1729bd1bc46d9c45d", "910735052fa55ea045e31d207cc7af8b91e43535", "794aa8792ea4e49d2633d7e52bf78f10f6d8bd50", "c54eb81ec2e7fd2258a4735644851a51d441da98", "1f7b2e8f7ff5c9198489bff9b95b13fc80ce6a7f", "4f09f84dcb0e5ff92532a505436b8b257de0fbbc", "dc966c9177a46d1e552b61c4a09e1791c60b642f", "b55e422d80fc5e74eb34a4913e4e5a503e0b6c38", "0054b127ae7787387eb1024958aae7a68c605086", "8c554be076d6bc1b15482f4c957b2f175b9c25e5", "114b7cb9aa6033690a15da4379e5719ca4ba5fa1", "ef32e5935668c0deb9f23cc3b815a6f06635bbdf", "4a570da6e536467160336705d285dd298c8efe58", "0032035e6e02d306b51e11643a880e1f7e3964ea", "35d928856df04f4bca8bba8cbfe456d02f9490b0", "3b1cced9f62f422ba5657f66caf20fb7d6af5599", "9b9b93fa36bbdc818016f62463be56c87ac4b286", "3387a8d1ebfc16dbcc1b0547ef98aefe16e0692d", "fbd27a7a7d6badaf69ce58fc671a04802d560b0a", "6463172a5c829cfa2e61a015105883da0ce2fd80", "c1b02b251c68e8c3fd0ccdb16ad33f8769530afc", "c65ffa00cdbfc034f1bc6bb3b21de3e7548550c3", "06bd22f40e2b243e241079cd01b1f30edf73b7df", "edf33cdd236f1c965b16dda3e3f7e3869d12ea30", "f956d2afcd2a9154e346a2fd755fc5c5206f7fb1", "e2b5c683dc5a282aba8930e6699e6ba9c9441d00", "105596c4311d1a788bb76a3d3d6e204acd340b89", "d989e1cb7c6c0eb2aed5e2c0b90b8781fa9884c0", "4b7b30eae10e9fe02b616121780c643ec98137aa", "103e5b8f771277266439c129ecf309c965af11a3", "5c2f3a38d0efb7a472534073b1266e38c978d129"], "references": ["d86b21faa45e4f917da70d00b20c05fdbecaf956", "c67583f365eb5929fa3992831e28e8a92729e5db", "8c91acdcc81eb900752ca95356cad6205a6a756e", "12715104d8178c7d35d5791e15be397e92b0df1c", "680a60fc2b16c68b410157dd4cb421e2b74c1c2d", "81e055bc2ec6810f450452a03618e677187c270b", "b75419a5530cf1ba417078142c05d9b043ad56db", "6f6062c889af4da57d0688e7f6ae9eac49c13340", "6c4fc0ca14a74dd75ba78d7d783b67c4c7c2b15b", "6abac64862f7d207cac58c6a93f75dc80d74e575"]}, "processed_text": "обнаружение плоскость данные облако точка"}
{"_id": "c9dd5ae24520d8cdddfdf8ef6d5f925445e310d9", "text": "Совершенствование наивного Байесовского классификатора с использованием условных вероятностей", "metadata": {"authors": ["20828979", "1682722", "2716577"], "year": 2011, "cited_by": ["2687943bc79efc14d9a9b9e619791998d75c87b5", "f5e95c58125ecb5f849c7d5e23d3b8e5d40dbd1f", "059c36439a84c8d51443022352a94e2751c60d1c", "893e9821c86d6338491f56f92dee6907213b76ac", "d52683da62158b00febf299f102bc29e3e1ac5e6", "a23ef8cea9d470cbbfa33b091e5dd91ab2388bec", "53de6741d0a5cb0191cdf0afb032f6e90960338b", "bf627b63d936f874837354a85e9184278e22b423", "71181baef8801e534d17bbaf44ce69b3e5c63230"], "references": ["80fc0a0ef0337835dba735f2a25ad6558bb535b6", "91549f524d37dc08316ab3f98483386d790ecbfe", "3ed935e775cdebca04e68701d58f9629786e769e", "837ae38d8eba5635fb8a2e0a5cdb4764e8ea348a", "0babaaa9d1a511d0956d994d2221d86de9567aad", "b7ad09bf49cb267a06dba6547c28cde1592b720e", "50287b978d60343ba3dd5225dffc86eb392722c8", "fbf5f61c3fd594ad397ca317fd50e7796faef564", "5fb874a1c8106a5b2b2779ee8e1433149109ba00", "7783fd2984ac139194d21c10bd83b4c9764826a3"]}, "processed_text": "совершенствование наивный байесовский классификатор использование условный вероятность"}
{"_id": "54356ff0960100e27cf17ff682825bba2662e90c", "text": "Набор онтологий исследовательских объектов: Совместное использование исследовательских данных и методов в открытом Интернете", "metadata": {"authors": ["3337287", "39483547", "1687040", "1835060", "47956365", "1728343", "2420472", "1709236", "2022701", "1701008"], "year": 2014, "cited_by": ["10572aee4838bf2a233d4bb5eb6cc16473d4b584", "f4113f3bff836bf03b2eb9bc660c808fe932ed79", "2f6af5296cb246222a55454e1ae30eb6c4a9f048", "30dbcffc54862368d3f6167a1cf2502ea1238328", "36dcb1f09f3dc54da8aeafe200220b572461c63a", "1bc977946bf973e098a293ba0d5b4464e2cc3cf4", "62ddf552ac436626029f17d495b59743bd9811ab", "3cbb19b1b0a78610ba906e6f78adff20a5050de7", "b723ee5f786338695cf2db9f477135f4b9d51517", "9f23eb32df7e9286cb5a11cb543fb1359c49df84", "86d81e85fa72a1c176840954f34f759298e5f74d", "db0159cb8536049a1c7631ceebd1bc3b37220b05"], "references": ["3422b467ad59e5d6048a8d9e93b82c487709769a", "24d8a2c600076c878d05930b8501cf63d2100387", "090634660009ce2f92c8913baadaa9b8b44b2eab", "cfe8516c9d0916928ce2c0b625d4d7496205ca94", "b28d938e60c84d59e9fe605adb7e583c3e078fef", "01e828e197e801cde2b7bda95ab0ce7aa67ff3b0", "2e974cb67df9cd0acdfa1c5a064d6bd6238f9cb9", "eda43fb05a761ef32b172791f01e50192ea64216", "10d90a36436749b33848e3710b12c7d15086f2d8", "dcb56cf8166e325da2d62dfa96f64d1ed42c7675"]}, "processed_text": "набор онтология исследовательский объект совместный использование исследовательский данные метод открытый интернет"}
{"_id": "b4c80fc4b140eb08a717a446824cacb77f319166", "text": "Прогнозирование, не зависящее от времени: Прогнозирование предсказуемых видеокадров", "metadata": {"authors": ["2228235", "27535721", "1763086", "1736651"], "year": 2018, "cited_by": ["bb36549dadd69a07dc1090ac843a21149237efee", "c174204c3741c29d9be5d38a334e25b6497a42ed", "413ef7fb01e5b57fb0e18cef22b2ccacde3a3d19", "61a4e1280dd9cd1b1ada2eacbc34c8659d7b9028"], "references": ["980cf8e3b59dd0923f7e7cf66d2bec4102d7035f", "1b67419c956f109d72ccc47e3488967aea064fee", "0f88de2ae3dc2ec1371d1e9f675b9670902b289f", "cf18287e79b1fd73cd333fc914bb24c00a537f4c", "10b987b076fe56e08c89693cdb7207c13b870540", "0ba786a6b574b737d49724600a95b631f9fcb8e2", "385750bcf95036c808d63db0e0b14768463ff4c6", "c174204c3741c29d9be5d38a334e25b6497a42ed", "35b03adb68466e0b938ca6ff43fa86a6876eb30d", "0d8a5addbd17d2c7c8043d8877234675da19938a"]}, "processed_text": "прогнозирование зависеть время прогнозирование предсказуемый видеокадр"}
{"_id": "19d9d5e14d4d3f3e4ef66e00cdbc11ff6a93e9d5", "text": "GHT: географическая хэш-таблица для хранения, ориентированного на данные", "metadata": {"authors": ["1699297", "1803296", "1757989", "46597924", "3734501", "1747970", "1753148"], "year": 2002, "cited_by": [], "references": ["2361e85ea35bebb3046da60475f4a2225826542a", "1429695381f94e920d138c37a9f364b18cad265a", "003715e5bda2dfd2373c937ded390e469e8d84b1", "b87f8555ced1eb145d53cee7673a23c5ca9c64d8", "0e4ade87ce468690926f153bc413d53a5034a9e4", "d9d8a927ac6d7366d8dcbef68d96a4f2971fde20", "ba2cfcff672ff97f8339b97f67c43d67b91590ad", "558c02d1fad345525e11934249b8632fa202f869", "d778e74e433e82e1cdc9d9b89429b2fa734496cf", "614a3628bf9af0e558efa4c784f064cc675e0636"]}, "processed_text": "ght географический хэш таблица хранение ориентировать дать"}
{"_id": "b095b4625733f8521439e54db09bed2b9970a808", "text": "Исследование, посвященное системам интеллектуального анализа данных в области кибербезопасности", "metadata": {"authors": [], "year": 2013, "cited_by": [], "references": ["21fb86020f68bf2dd57cd1b8a0e8adead5d9a9ae", "ce77e6278fa69d885bed7979857fbcbc59315f93", "6f5d69a37262d95e4c5bb6d1d66b25a3440411f5", "a1a248734e00f4092f746a03e0342cdf731da97b", "e8e0cdfd8675804507a74cc464f99333f87fd19d", "eb8376a32ac195f3ada6108c03dcb872dfdefab5", "9ad7e73b2781d0a345490c7ad965a302be28bd8a", "474f29bcf58f801a38b006f95f8c465df38ca9f2", "54061a4aa0cb241a726f54d0569efae1c13aab3a", "5622de109c23d1a62b00c2b0892e7d1694c8ba40"]}, "processed_text": "исследование посвятить система интеллектуальный анализ данные область кибербезопасность"}
{"_id": "eecbbb0ba7b513a2fe1e7a0131213e5a94b1868a", "text": "На пути к модели самооценки зрелости управления ИТ с использованием EFQM и CobiT", "metadata": {"authors": ["25734172", "9459317"], "year": 2018, "cited_by": [], "references": ["332d94c611866616f6334fa3e960c2a6348bf9fb", "47bf38b97c231bdf64c393195328be14f03ee129", "ed3a4c70f05675b8d47c202eedf12fb7103da6a0", "fb0031e4d2a7358fca04da94c5d7e52da794fe34", "4fb50d0f0d73aa5bceeb1f4a1dc1a20723dabbfd", "2362173f0b8311892826b1f8f06326b236f0b7e1"]}, "processed_text": "путь модель самооценка зрелость управление ит использование efqm cobit"}
{"_id": "28ca521c805fae5ee45417c3e53421d2250c24cb", "text": "ОРГАНИЗУЮ РАБОТУ ПО ПОВЫШЕНИЮ МОБИЛЬНОСТИ В СЕТИ ИНТЕРНЕТ И ЗАРАБАТЫВАНИЮ ДЕНЕГ ДЛЯ УЧАЩИХСЯ СТАРШИХ КЛАССОВ", "metadata": {"authors": ["9111465", "1822517", "9223865", "2183349", "9168553", "71167602"], "year": 2012, "cited_by": [], "references": ["3ae1e19df7626caeeb73bdcecba3186f53a6f224", "8e36708ba796f8d8ea10af5ec0c92c060b8c03c4", "abf5440dfb1348bfafb8ed52d81a9a1795ecda93", "12a68626d06d860a85737b451c2dbbc77b6fa5a6", "819e554f826f60d83ee221f9e2a94047cdf3da4a", "6909d048146630f9ea3d072f36b6ed4a86510967", "56c16d9e2a5270ba6b1d83271e2c10916591968d", "568a0de980b9773fe96abf3c75ac0891d1df9c2b", "7534ac4b42d39e2033e32cb4a38a9dc95070b50d", "1507ff828e77280d6d1925a7d6a4d078d46bf9de"]}, "processed_text": "организовать работа повышение мобильность сеть интернет зарабатывание деньга учиться старший класс"}
{"_id": "eb240f463fa57740986a92ee744c3ad75f8228e9", "text": "Обнаружение вторжений: методы опорных векторов и нейронные сети", "metadata": {"authors": ["1718382", "2523915", "1742050"], "year": 2002, "cited_by": ["efb82cdd1269f25f883e35fd0663fe4bacfc5dd2", "f945c8bb6eb21eb59a3fc4a29109bc72f8eb6805", "eefcec23d3ebb7c25b18c56c8d8d4c1f1ee27c14", "4767ce4c94c9895140ba8d4c7dc96cca1e11ab0f", "d2bce8d5a3d4512a5561b3e40a9d1f3883f2d966", "5696e39ce34dc10f19fee2e688364573de9715c4", "425a8d6aa1b8f223873fa3533d31e0d3693b958f", "5fdcc0088f413d887a9239568550bb87b34b25cc", "0a0dc21602fe1e93e4811b4e5f308849a0ec143c", "fa2db14cfb55430cbc515e07b0ab505789610698", "6097c91c9e7734508968b440677e5d0847df969f", "030da8ea3567aeaebcdeb8765563af3d1b1f18bd", "9d38fde46c67ce778d7552b456eef3fab1ef1684", "db329f26fcebb75b200edaf2d1370cc8dd423fa0", "834fb7bee442395472279b44425bdf9014679c0b", "7e24f72ea693f29ace51f4cd11ad23f6bb4e0c55", "5300dc02caa7c3930ba4e2d8e5893c149b068438", "24aa99e0be30dd6c2cb79351efe06a6264816310", "9300e6c833a4d23ff4943d94d09a18753a1d094d", "c542bd0ff4cf09c1e946b6a897c4ca7b31b76ad6", "53fadf46549e6c7e702bc37d4a9fb5231a3edd2c", "c2e6dafdab164b7e8af16226020da5f713a6314e", "7048b3a6f54de908fae25f54a7305eca04c9e1e9", "048d3536d474a7b258b5c23a1fe6c2ded66612f9", "4f174f39fb6a7eb8e2f5725b493fa218bdca8e4b", "a1fd908dd66398e31b5102a0197678744c7c9dbc", "086868f64faa214a591bc4ff1bed781350fd83a1", "31672deb95c75475a276503658a39921f22b7a5c", "2e60dac7589cfd71dfdba738159a999e209423b9", "9de72e2b383ce55622a457ceef9eda4196e8994d", "a46743067f9473f64652c0e2ce7a67433de919e6", "ea165ef705ff3604a74a8c3f508c44bd95557fa1", "94e6263c7b87ba8afa5e187e2390309f6fc0dc96", "c78e8e76dfd366b46fed8db4c9c129c615793132", "73906458a7e6459c2420e01cc0e95e780b239ecc", "3d8f755c22ba7d1cee7cc2f93decd651816d5736", "1c8f37be77a731066a58be7ed0a6cce4cb365f4d", "94f3617331594ef3b49ae7604ea8559293de66df", "ea1ee55a4416ca30072280eca4e3cf98fea61c6d", "3b9f6a6901db3bc39be9e147f6efe66e40f6a8f7", "0449d5c268912dd2a4b40c193c6f9a1127a0e365", "923716fa277c891f7d91c6fb6bc2472411ba7d76", "53522eba23e195d778f590edf925670bb6305a61", "808fa6682658a6ba7cfb2984319503b8a66f01d2", "bd194a40b6a55202a1af4ac9dcd1b54e1f76fa48", "881fe80362dff6f45314f6de43f1b4f427fb3ed3", "63d7e5409cd7c23998794e4e7771b5526564c5d3", "74a372c488622a70fec181bed702131dc49fe790", "8a67f169ce36ebf603475c47fdab6cda592e8450", "b1b9fbe49f9ae78ecf6bad564b200d6b7c7e87bd", "b8a65d26b031e6e1cfbd121bbec614a5e19d6925", "0f37df5cd3be412454390390c0a0d24bdec88f4f", "9b88f0a8890b2f4c398eb03869d2c85feaf75b94", "8e32eb8febb9f4e5c0e91018437ce6e00111f629", "b7b9d118f8fda9860e5539e85bac270ca9847488", "1223a4c8fc42cacce8bbede44a625580a1d2a279", "55d5e32a1fba94a80a2bb973f0d0f4af752964d3", "f6dc1742be095eaf86c51a862d7ed36c3316c558", "c373853d50c5d3678b207bf70e143a1ff20c8620"], "references": ["ed66110ec092bf2bf876f6356b85b99d86988613", "012f1a948b3deba461aef5c0754cc7905d8125a1", "681ffa508194f6f13582ff65366d8ad2ea2eafcb", "eeb1a1e0cab8d809b5789d04418dc247dca956cc", "01eadc020e724abcd1c43a3cedc94c76048f11d1", "8bc68ff091ee873c797b8b2979139b024527cb59", "0b5eded4e0fb695bcbad27f45f0d87272b14c741", "5678ade24d18e146574ad5c74b64b9030ed8cf44", "dde8c0c48552b57047b0b9bdc481e6eff6d53c36", "bdf67ee2a13931ca2d5eac458714ed98148d1b34"]}, "processed_text": "обнаружение вторжение метод опорный вектор нейронный сеть"}
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{"_id": "548a49c717dc1ce0263ceff445b5609361c26cde", "text": "Деревья решений для прогнозирования академических успехов студентов", "metadata": {"authors": ["40648246", "72496273"], "year": 2016, "cited_by": ["9a915b7f0a6837128b8fc7c1f170468222e6ba38", "a9b96ede45784ff55ade39374a05b9d4fe33f524", "1066b8c0aaed299874e1989998635dcb879bcd0f", "bdcf33a04ff6803ea8201d22fa3da6f6293044cd"], "references": ["1f1595a0e8e75615952726bc4a6e465351ccd3c9", "cc5c84c1c876092e6506040cde7d2a5b9e9065ff", "8cfe24108b7f73aa229be78f9108e752e8210c36", "1b3b22b95ab55853aff3ea980a5b4a76b7537980", "9376f5bd471f23435440a0e2a4140f430cb15025", "455e0fff1275a936e062187d1ffdc80b89695151", "6e633b41d93051375ef9135102d54fa097dc8cf8", "ae760497292412c796be8791421b3664789e20ec", "26d673f140807942313545489b38241c1f0401d0", "6f53b29df21b331c28b51875ede5f4a765adba72"]}, "processed_text": "дерево решение прогнозирование академический успех студент"}
{"_id": "763490c13a138523b98e7646ef0fa81d6b5e5a22", "text": "Нормализующее SMS: две метафоры лучше, чем одна?", "metadata": {"authors": ["2549334", "1846431", "1722225"], "year": 2008, "cited_by": ["a24637faebf726fdd88ffcafca5a65eedaec7bfc", "8bfe3dd8efa7d3a07eae5be213224a10f043c9da", "e7c2973322b494f862dee545847052e9347c089e", "e8177afcb4e47ea6284359ddb32954ecc684ced7", "31f68a564c3159d41ae8ede367e9ca7f7b9968aa", "110caa791362b26dfeac76060e052c9ccc5c2356", "1dadc93bfa618bbaa09150f36e8d2b73dc9aa54a", "7193e98aaedae1a263b156a7a6bd84de57eb4507", "d75d24b0f2c9aa85f94c4a2a1a8c476075b6ecbc", "499225b952b07877f3767415a0094406a4b9ffb8", "18058af8df7e27069b7c91c9df1302a7d9b1ae6d", "eb5280aff90135c4c3a14f0bf6d6d298260a9887", "b26a0ff3c85da6f8aef442e67d9432bb235cd5d7", "a85c124b14a1be9c2c72f24cac615dd9bca7cd5d", "8bf9e1120acd15f9612b2b034046282098fe1344", "02dd5b65dfc005c30c2c4f49ba5afb586cd7770c", "ca05f01d475a1172891b614c8f7e4d3ba72c1161", "d30f2eca7e1a0b085743a3df1c9a2a0bdacb3dfd", 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{"_id": "c702107a56163dfd27526b7034be7bf946b03a85", "text": "Иерархическая сеть взаимодополняющего внимания для прогнозирования изменений цен на акции с помощью новостей", "metadata": {"authors": ["81047585", "40404317", "3185257", "7472050"], "year": 2018, "cited_by": [], "references": ["7942655c7510baf5e81189d58ef88ca730800804", "79788370cea1ca0b046f5c16dbddc851a63ad208", "5e40be36d11483923cb12260bed6e8f7ed355ff3", "1967ad3ac8a598adc6929e9e6b9682734f789427", "0cfd018f93e42c6be116e598002ec174e917e9f5", "19598a66b4730d8714a6ad63ed4446c5a2a3f879", "c829b63a3ae72a47e1953e1295826c7b2f93bf50", "f2e9f869a9fc1f07887866be5f70a37b6c31411b", "bac125cc33d9e9e554df781643f6ea94dca865b3", "0b544dfe355a5070b60986319a3f51fb45d1348e"]}, "processed_text": "иерархический сеть взаимодополняющий внимание прогнозирование изменение цена акция помощь новость"}
{"_id": "28f3343d2419147213e7580934cfc4e0cb88b088", "text": "Креативность в высшем образовании : использование творческого познания при изучении раздела книг", "metadata": {"authors": ["50827944", "40463392"], "year": 2016, "cited_by": [], "references": ["46d21b96ff49483b4f10aa53abfbffa541657b64", "50d5035bae37531d2d8108055d52f4a000d66dbe", "748742a6cac31b7bcb4f3e5bd506eae8397f217f", "69e2b1ea1989aa7968d866fd433be0f58459d395", "77cdff83975824cbd54dd11b2e821d8f9a51957e", "38a4bc276fb3820dad9c85c201ef567cd93c07e6", "4f943e65b55dc50f3cfbaf24e83705bdfa3727f8", "3dcfc894ce8a04570b62d2f878dc8428cd15b32f", "58f14bc49ebfbb30a55826fe868d9f599fcbcc40", "dedf666ee7035c73cb3aa85616c83fbad3f96ef0"]}, "processed_text": "креативность высокий образование использование творческий познание изучение раздел книга"}
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{"_id": "6d3857fe3e62a400768fb6f51366add5f9ea4889", "text": "Когда 25 центов - это слишком много: Эксперимент по изучению Готовности Продавать и Готовности Защищать Личную Информацию", "metadata": {"authors": ["1718732", "1683053"], "year": 2007, "cited_by": ["721816c891252170a5889a5f4c03595062863c1e", "20433efb49c1e9c1660beb4eef07810b3206fc05", "84472fca6f198a56b9b47ac3cc28dcaf6e489a3f", "0c6c4f0a8b3f4425a57570576c9439b68e0a22f0", "2e3d2d7656d4f431587fd5ba5f6ea35f8046e3e4", "a85721c6d540e02fde873fbb07af3dab3b8c0452", "49e975f0ece1f816fea3be5b030369b30e739c88", "798b456df852ba12af948cba4dfd7383ba4499a7", "fe25385b2847cb15bbc902c16930aeb135c7c18f", "d441a986de15b156f071bb81f6ea027c0daf1640", "26947a852be67adbe0977c2a619de702dea68ebb", "240cb19d29de8d642a253af48109e7c847d9442d", "3f5c16a7198834c118563472ba2ad9df97210184", "056a6564cccf0b7584433fed16484c020d27ebab", "e324a86bac8a9e555c57df143bf6f1bda6ef43be", "1b51bba503db9e3beef63362d2021b5628b005b3", 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{"_id": "c24fc81dcec236527652eab35154ac0fd7a40929", "text": "Идентификация фруктов и овощей с помощью машинного обучения", "metadata": {"authors": ["36289287", "79786396"], "year": 2018, "cited_by": [], "references": ["501e496146b04f42e3e6a49aabd29fb909083007", "563e821bb5ea825efb56b77484f5287f08cf3753", "f74558d368edc546a1c1f90ef5b378a32f7dba11", "340632b4085655046ee5c4d93de6c4aea6996d66", "0acc368f2cc6df27ac1437c46f77d40800c9baa9", "5936754b5762260bf102ac95d7b26cfc9d31956a", "54dd77bd7b904a6a69609c9f3af11b42f654ab5d", "a25fbcbbae1e8f79c4360d26aa11a3abf1a11972", "8a7e4164d954eb55617362dcb18ca1359b4b753b", "728d814b92a9d2c6118159bb7d9a4b3dc5eeaaeb"]}, "processed_text": "идентификация фрукт овощ помощь машинный обучение"}
{"_id": "031a0f18d46b8e006eb4262233f7734fe4505c21", "text": "AntNet: Распределенный стигматизирующий контроль над коммуникационными сетями", "metadata": {"authors": ["1744127", "1690876"], "year": 1998, "cited_by": ["5e9d1524f31968779ca882b970a72bb6afcad0b4", "5045da85424a8a70cb485d3aa808799ecdf175f1", "94a5040d818ac01ea8b83bb42107a3db54a4ac1c", "8b5825e8103b17872a1946272417fdc736f90181", "d03d70346fdf1f8fe6aa9ab206266fb2c00473b3", "4ef4e7774454f9f6adbcfbb786dbe8ad15056755", "24505c903831ba2390d89206373c85225cd0e4ab", "2c8cf385d204a017059644a60b338bb71a0decfa", "eb68f43a9ee047eec30138f0e4be3ff1d0a7c3b6", "aa9754ccfb529391822ccaf34677ba57b827db90", "27fbbf930f726e329694eae4e6c091533ac6e9cb", "8e3900801d054c931b12f7be47109c3ec4c9146e", "1a51e40e6a508ea89f25e6fd10c96dd9baf59eec", "3ff3a699cbfad0fa3efc2495c8ef872b6e4797bc", "387c12a1e90547196901df41e106e8635bebb4bc", "53ca5a839a3e4a5801a9cf992fd3d4609886f34f", "c10223c113b0bd181d957180f897633abfdc023f", 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{"_id": "26b90ccf7541fd2cd4235118493e1e49d358c351", "text": "Микроменеджмент StarCraft с обучением с подкреплением и передачей учебной программы", "metadata": {"authors": ["50685776", "3124762", "1699234"], "year": 2019, "cited_by": [], "references": ["15cf63f8d44179423b4100531db4bb84245aa6f1", "a25fbcbbae1e8f79c4360d26aa11a3abf1a11972", "1862833e6e0eda58f82fe646578d671d0e13d54b", "ef3c0ed845e9d1692c9c6ec5379ca54a16a84544", "1aeb05679e78a7c12bd30e618688c10d612f0e4d", "2088c55ec3e52a8be99cd933907020c70b281383", "1e6bcda276bb1681125eb18ca4d62a44e94c25c9", "c017364530e9f113497c4532458fd70ac6f576d6", "47960e52dd5968f83c29df6d594354c661043532", "12cb292a4ddde38dc1f08efd9796be17cf77046f"]}, "processed_text": "микроменеджмент starcraft обучение подкрепление передача учебный программа"}
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{"_id": "98b8133b18ea2a57191d85ac58cb40cb545835cb", "text": "Преимущественно оптимистичный контроль параллелизма для высококонкурентных динамических рабочих нагрузок на тысяче ядер", "metadata": {"authors": ["48469973", "32228637"], "year": 2016, "cited_by": ["74aceb03080942239fcda2ac4a0805790025a105", "4ad19a1c0c8cbef103a3d40132070851430e19aa", "9fd1836d29b5b3eee986bcf71c567d6c3315948f", "32a4a28cbd82532e5b8ed1532445eea72578e360", "f5c63f9f0264fe9eb4fc1e10995dfc60bc09a969", "50815e92fadb49e49f377ffa9a31e1c519dc0bf1", "9c19b047c7cf870a6f8a776312e7c90ee06d59a5", "5ee33d746099f003e7eadc462e04c1d84f29cb4a", "cf99bc5412e2513b97cf6d4cbbb0e427a973c528", "b699d4517a0179c39e001b99abc2d7113f81f588", "af941012dcc736a55f5b9ba0d409d9fad1843eb4", "9dbb1e3394f8215d3e1d2944db0f2df33575d779", "dad840ea7b90ec61eeda2eea185a110b49d0d758", "332ff8e329cb40b458d87e616f26474ba637538a", "7b294a933859298f9b5771c2b65e8493871f5ae8", "e042b2483aa33ae8ef2b6c6ec3e6c5b5df137f7c", "7a0a450a71c4a881d33a6b3fd803c68c2b3d7a20", "344dafa2762b822421b95983f5180cccf94cca29", "ed4ca611fa5087bb2bb15e3864e4ed61e3a7e710", "2394ac9566e43eda9b2b72fc3bfb18993f1a3eaf", "05b68f826366be34c52b7ab69e740d6845768080"], "references": ["13e6aa5f61267b2814fa9b32f47c17c0fcdef2d5", "f808a588b9a9b60877edc39b457ffd55db10dd7d", "c283fe09bfdb60f5dfeb284f990e390e112f6f22", "5cec4c7d82137333ea7f0166a26d04bba589c7da", "6479bc321dd7859eb6b6b8cca100bade86940526", "077ec40011d8252c3c4d4a1a52e2beb893e83159", "9b07c523fb9f39c5c5b5ffb676bb446704d8ddce", "09ecdb904eb7ae8a12d0c6c04ae531617a30eafa", "e67ac429a8f8c90d1d527fd11e5866df7a8e4192", "141daa7db0864f1797290f8704b7645c73972bf9"]}, "processed_text": "преимущественно оптимистичный контроль параллелизм высококонкурентный динамический рабочий нагрузка тысяча ядро"}
{"_id": "901c7f0cbf7701c66921c918e553d2ecfbb4df34", "text": "Рейтинг сложности головоломок судоку: Обзор и оценка", "metadata": {"authors": ["3182729"], "year": 2014, "cited_by": ["0288ceffb23ab1b0b775b1ee2d93a80a103da967"], "references": ["c93c3dad0e9541200ff255dd1f52c0d44b4d87ec", "f88bf6e1b8afa7ff8f46c548a7ab880f57272481", "a1e92c3c24aff657704f305c2b34ce7e6589d4ef", "73c8482cdc5305239774577cb27edef13fcaab76", "2e3219fb3e6ad3aa1ead0a71d2a7c3c9f5ab4717", "63fc4e86ce541aba94d083d95dda7682b4cd4aa1", "9d2a99114e54afd50b2fac759943f1f95f1bd259", "38b66dd7948c286535a72c9aa3420ec90fbebbca", "3bc561b4d964155242849b1e313a88889c3ddcdd", "6093b7fd0b3739dbdbb9e455e4fba3231c1092d0"]}, "processed_text": "рейтинг сложность головоломка судок обзор оценка"}
{"_id": "cadf9ffb55a9286bd98622a3cef1deccbc4c148e", "text": "Обзор методов интеллектуального анализа данных, применяемых для диагностики и прогнозирования сердечно-сосудистых заболеваний", "metadata": {"authors": [], "year": 2015, "cited_by": ["04494365907f331d47c4f20e7556dd1face9e37b", "5bb89958f57a7f0a0efe0c4de76bb19857dae273", "6cec2e9f4f2514d6500f4fed223c3befce955aeb", "3c26a6e451e89d611539a5b4c6a8663258b5659c", "80ea7932f5fbda233e2626aa8274130c4d33110e"], "references": ["634b765193640df2d2e24df120d76541c694aae0", "973cb57bd2f4b67c99aea0bbdb74c41a29bf6d2a", "dd09ddfbfe4a9bf3537e2a6f61ac0c5adb6abbe6", "f816edce638d88f7ee02370910852d6337d7d2fb", "9a4f97b89e2d8312200c00cc0cc0bc0e55b6335a", "309bc44f32a24044e4ccac1722f96abd2db87ec9", "8df767eafaa862b169ff9852ea8fa7a7283baead", "30d5877df650ac0cf278001abe96858137bc65e3", "d944eb9071a8fea1d6d7a417558b4a706fb95887", "4f2066fa618b26305154468ee48dc3904905c7d2"]}, "processed_text": "обзор метод интеллектуальный анализ данные применять диагностика прогнозирование сердечно сосудистый заболевание"}
{"_id": "2561aa198e3a7a0b507122f543acafa80481e1b9", "text": "Обзор поиска политик в областях непрерывного действия", "metadata": {"authors": ["3211142", "1704997"], "year": 2019, "cited_by": ["39b7007e6f3dd0744833f292f07ed77973503bfd", "668b01567489ac3e67a83edf077dd171aba185a5", "5097e73d7509433a93669896994a4ed637d51d16", "b8243a584a3069d326ad05734cb20909611ee279", "3b59124f04e94662243ce34f9e3f23c4c86c864b", "a935783886dc9039b560ef6e92a51396b896a2b9"], "references": ["47960e52dd5968f83c29df6d594354c661043532", "c221cc946425d85f93c86e3be2c31d4feb00faa1", "2fae24b2cea28785d6a0285cf864c2f6c09cd10f", "4bb773040673cd6f60a2b3eeaeb2878dc6334523", "049c6e5736313374c6e594c34b9be89a3a09dced", "147632a02928f7460af9d88fd1c5c551e411e267", "142497432fe179ddb6ffe600c64a837ec6179550", "532fada08285d528a5f6c1e405712c2141b557b3", "4cd76f8353f0c4852cc432fc0e7a5f2b91ae6ce5", "17467609cbc1ccd1db683a851d4952825f223a8a"]}, "processed_text": "обзор поиск политик область непрерывный действие"}
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{"_id": "4b5d2c4bdef08a20ee6bea555de64425f003e46b", "text": "Дробная модель на основе Riesz для улучшения обнаружения и распознавания номерных знаков", "metadata": {"authors": ["1848595", "1744575", "2656031", "1778510", "48700731", "1740569", "2285916"], "year": 2018, "cited_by": ["ee69ff5791df6ae7220e270ba40a670cbab71f21", "2a47c47ac2bb403add711e596300a3d3cb4781dd", "fb5f8b13efa49ccbeb6bd5a01977f74916bebcd8"], "references": ["5bda1eb97d05be39679c992b3e1251dc65908923", "bf4967e6365a4140747c0c2f3745bcdbf6e8918c", "2ebb9a034219ce82362ae0c6f9ea6473f49f9301", "05a70adedc37cce204470fffa4cb05d04b6cc3c2", "493d8febb64c359a201e7ea24075bb826df17ff9", "2264781647ff1068c22fad2be4e20ff7d49fce4d", "467024c6cc8fe73c64e501f8a12cdbafbf9561b0", "4ad75b110b52d1cc44e76664bab42e9e49eb95b2", "7ed6b4cb15c141118a721d576d801a1d0a2ebed8", "f0be501f57e04f1b642b68ebbcccf3fef1aa90e5"]}, "processed_text": "дробный модель основа riesz улучшение обнаружение распознавание номерной знак"}
{"_id": "29da485e2e8c78d9646d1efb25986e5753269354", "text": "Распространение неопределенности через функцию tanh в применении к вычислению запасов", "metadata": {"authors": ["10386864", "26365079", "32981185", "1751063"], "year": 2018, "cited_by": [], "references": ["c892ac0384b8cf449c74c29ee8ecb30ede9ee852", "27ba409e84ebf739285ba7a65f52c4735de42838", "83bfdd6a2b28106b9fb66e52832c45f08b828541", "8340d8a71734a50756c473f16e0e11c445701347", "790b917cf06f832c519be77bda822ed2c406122e", "2a65a1a126f843f0e3600ba80da50bc6d4c32855", "8430c0b9afa478ae660398704b11dca1221ccf22", "266f68df0dcc0931cf3c7c5e132ddd116fef8e2b", "8d1b96aa1856e67467bb07b7b37abd71ae147ed6", "0d5619cf83cc951ced77a481b6497a558e61107f"]}, "processed_text": "распространение неопределённость функция tanh применение вычисление запас"}
{"_id": "5b48f705f73ccdf32c314a7ad932ef7d51b84597", "text": "Массивный MIMO Обладает неограниченной пропускной способностью", "metadata": {"authors": ["23752175", "1749686", "1726654"], "year": 2018, "cited_by": ["e676999a2784ef9372246b4601856f827e0b96db", "5c10510e88b5e6d366a296815e94c0f5fe4df50a", "812da4ba8e2658638654fd8a12018fd9523a97ec", "a9f939465fd1045165059a608af3f73f3d78b670", "a1d967452164e9bd23b5ab59ca1a8c053310afc6", "b70bf805e4a80f6923cad6a3404ab42d4356f810", "d857802cf8c3412d75159e29b33a9c01780d47ba", "1fadd65b18cd542e71bcf1ac6eb47b4d76af9d2d", "56eac04d33316cc9c823c894fced94b5896de3b1", "293ebe25838ce7fa434005078aa09f4fd4efb06e", "85c737444371fc18e65ad5a18cc28f21fca08c8b", "d60c2d4e864f1523114cc2c0b78ce5a918563f86", "9a5cd8745158023a8c711f5c4a1651ca1063ac32", "42e74d6bfed8a2cead8ba92ecb749c1a28887e5a", "580be0aeff2203989a12324830f9f4e906523674", "984a0d58f3d782708551970879204aebaae9e56e", "bc6f8116d1490bbbfce1344ea9d0f0e995faa773", "18ef22eb14ea2ad346b082bd49b6818fe2a8ba24", "c1efa39b162dfe2d0c25a854b14e6201c9c2b285", "f8aa3dda05fcc3a649745dda385999dcc245ffaf", "199c50386a71c8c4e451324217c755d5ec64b082", "d01452348871fda607efa8231177de1a66beb15a", "197cfcf4e5fba8fac9aa4dfd52510a26e7006230", "b385420cfd1d2ce7e8fa96a9a335f09fc45bd24a", "c02796cbc4778bf6dfe5a54cbf93b6fe39fbadcb", "05845e72754123be238f707df431b6e75b2320bd", "aae2d776e4c5fbbd8c2f87269c76855073b3fdf7", "0c5721f034f1fe46b3bd5c4284103c49b4a1461b", "4b7e31e9773cae3f53d2c77014cb22237746a63f", "b00fc4163678741da0b39134fb2e340477051aca", "ac70bd885971c7c153f9788a514359f56307eb04", "61b8705b0bd263e71159c0744bfc176370a51cce", "3c687d9440651fa5f7d58f55a307c7ea342e40ee", "6201945de4d5483beb0ba400944e50a73fa98d3b", "2aeb892d1e28c52399ca0f3d977cf248e5fc7095", "98e55bc106fb91e3f83cf24c6db67a0b8f1eb295", "fca8f58441aac437079e56c0b20dae00aab58117", "a19dd1301c4de232a0ea807cb146467ef5663674", "5ad05ef5c6a7484e12c337d860ba5330714aa16a", "e96e6120ab2035cd47d495aaf6e7471d19d2b348", "07f5609a5349685ee490c16a229d362e4b695747", "e569ddbe07fcc9772bdc415649d79873d088838e", "0024a21ba50d0d2ff6f0b75eac0d31078376056f", "24ff501e70132ce95b428209bb8cb8cffe2d4842", "53160ff682ff9c64e5588262c50df6b55aea24bb"], "references": ["b292c52c6868ec179e6525683a43b1078e012798", "f326af2a3dd93c082ae7fe699c1244b5a75b8c83", "8779a049f4d5cc5c4fa14898da525a7134dc04a5", "53821de3d9668c3ae450c93b7766991a56195486", "51d73e5241edb191b4e55c1fa6a2336a28bb2ea7", "baa6df6fc098e35b4f28fd4bbfba565b30f23f6b", "8b4bb33806648be846a5375696e9c6d253fc670e", "a1565009bf3bcc45cbc3bd2217dd70585b3b6198", "1418e9e8f1960ba7986df64bed15f3d5d5a1746b", "156292287da20f6aab457e9c794243bee20396b5"]}, "processed_text": "массивный mimo обладать неограниченный пропускной способность"}
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{"_id": "8e85c7ad6cd0986225e63dc1b4264b3e084b3f9b", "text": "Криминалистика цифровых изображений: брошюра для начинающих", "metadata": {"authors": ["1708715", "1822817", "1709849"], "year": 2010, "cited_by": ["cca45b19b0580eb0a4d97e6933b3faa37f91220e", "7605f7020bd704a10b31c942f2875f25b33e3728", "46b2b620e7b26bf6049aaece16c469006a95a2c7", "a9d24017d21d222cf563edc94105e19598ebe093", "d8d8a87a2857b535196b148a30476639a8aea34f", "df23a428d93b93181053d9cce086225a4c11c452", "6a2f1e6924eef17f8d74c178b11e83334268bf77", "ec767a372831610023fce910c660b63285775400", "09006c5c63ba2824bcb1d4d8235f309e7d6a0f63", "cf459a92557a87605f4c7bf9ac085440b0268197", "8ac4bb51bd1705f21aa2e1b874a5af3e64ba43b3", "1b032b77fe76e929174bd06ce30acb7637307b99", "2941e14c042b59a6f4e1210386696534f3bc3bf4", "6facdc6dcbb13bd2470465a11bdc37b9031f94dd", "dcb3add447f809c8c1a3ed23da0e4fd6f198fff3", "8fdf93dca8cad512829443e5fd48bbaa043e56eb", "089b02a254280d66138121a2bb14f9337e0098b1", "b251395bee826a41277be4feed2f0f424538d150", 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{"_id": "39d428fd8c6b73ed070921a856f03c2c5b5377ba", "text": "Исследователь Merlin : Нейросетевая система синтеза речи с открытым исходным кодом", "metadata": {"authors": ["2758425", "1720858", "1721016"], "year": 2017, "cited_by": [], "references": ["5e729f3b1275fcd0d3b117b4a2d45c6eecfac7f5", "ece8c51bbb060061148e7361b93c47faa21a692f", "b00b3e2b1b0aac6ecb32c2caa245f19054f2d805", "d031e51e79c7d1eaa09b91a6e835fcd93bf86cd7", "9ff478f230bcf590f2b520cd4050772c6f8a7557", "676c155e2ae509735a5c03961c6ae8c53755ec19", "277ebc7bb60d56b1b65c08ca3810c395cce5eb9c", "05414c746d111f41a208d00e142e167c70dfeb28", "2aaa97f8582bf56b5adab25acf02ab9cc9ce5b11", "2b4b941b1d003cd6357aff531c298847824495ae"]}, "processed_text": "исследователь merlin нейросетевой система синтез речь открытый исходный код"}
{"_id": "9557be29d86add8994b7df670c15eaa872995a10", "text": "Эффективность экспозиционной терапии в виртуальной реальности для солдат, проходящих срочную службу в военной клинике психического здоровья.", "metadata": {"authors": ["3002903", "3001877", "10703445", "1831766", "2572088", "29861580", "2856160"], "year": 2011, "cited_by": ["217d874e1598685ac7c693c073b2980c33619a1c", "0a319fdcecefe256f0bc0ea3c55c643ac9103d23", "386c828fba6538e61dc3f7a2331aa877af8b19ae", "fa5e4e9db05361b61ab9fe9432d69da4970940de", "b043e401df928a6bb721408a081800b2daa39f73", "9df0d8298b9de5ab56c68cab6695d5a1dff51578", "0fc327f5de2a60a1b28dc6b6dd7a042942abfcdc", "3d036309238ea8157f124a79d586db8253418a1c", "1652d2f8327a545997946b5566b62331ae40baff", "967d392a6f2d47c825a3f4d3a7f5e7534ff6b61f", "023f336fb382ce6b18b090f5a492c0d5c2806ed8", "b645226afc424357c63d144bf10ee53f00f1fcde", "bff011ff950ca746cfd8210b1f078e49e8df4722", "2b51fc5db3fe9a091f71e1106833e7b0c2cd581a", "f14f3245f751c3c2d8cb405c5edf27a926e38d61", "91a06a249221ab4b0861d63c640462d9bbac3442", "a0e350cde0f3b6ec8251bbb0adf199e82e4f6686", "5626d3a613f3ff2a3e64f3b5cf47ef616c174549", "2e585b1480185492c791fd6ad5309fc9ce6cc1c4", "3ead86286f338886798ccbda98cebc46d90f192a", "8a9a0fd5e7ad46826a3959e221d5097d07783120", "6116d37a778a8ea44f7da6b55cb3e31c2972bb4b", "67e32c772950210fcf0a9f405be30709c1ca708f", "825ca65b48e51fd629e804981e852288ee84cd19", "40b44cc0806e7e9667280817f60cc3bad4e396ec", "6b9b664b481c2e5d01f0b60f41b375f4022a1527", "954b3a37acf5c6c0a47527bef3c4f50b30fa94ae", "adee0573e7dab680e39798664d9f3ddc0cba91b8", "57b239dd10dd18c663b89ed6c601171485b3c3d6", "af0f9d18f8c5bdfe5400a972e18d9c020a3fe2f3", "5ddb41e193013ba1a1e3c884e5b9087d90f626bd", "1f0a8097b2d63bece8973ee1ae6c8e577e89005b", "63bd6b934c7357f83e958a678b97dac431e097b5", "7a1a2763a337c46520b92c5fa343e337eb51208f", "7cfa14d1674b81ab0e8839a79e6240b3dbc61531", "67e2a6369320af9ca7a4c1d7f4392ec7cbf42f55", "b7fc8f7caaea3ea9d80a9ce7021a4dfdc97cf691", "6393f918981edeb6e82b5b3d8f426e7b2c599863", "17dc7ea46d3e3261842040c595f8be1598b8fff2", "5b2ac39a430519305d06ced988dacaa0554e68cc", "d28e13af29b87864b0a535ba849b3651f5390d8d", "01caf6f5dd2073bc5894a153e0515ca1a29ff1e4", "843aaebdbe6d1319fa7efd4243c1e79acd0820fb", "b300e0d97d2b3468baa7cfdc61a4951ee0e6d9f1", "0fc1de860106b6c934c4959f8b3163225d9b1d16", "5edcb51f30668b4579b5ed4d64c203a03d9b3911", "51b1608a58fd545e9b45b49c547a96e71c77d945", "57d6e21e4701edab195b377995205c3bde806660", "f8eb8709ff36faa285bf24a3b689b6958de11d5c", "09b8e3f30378c55c06ef4ba0b37bca73493795a2"], "references": ["58dd0c6d783889f2bf59f9b15309447f87dc9ef3", "b697eed0a2ff305622ea4d6d3c8a3df68248ac3a", "f39ed876490389f76ef20ba9bb071ba48fc1b5ca", "9b523e8f07c8a88f27851e9f7c1c9b24c23d69c9", "13d46df026605f25f6e2798bc987d99ffd6f5b3a", "4d067fdbe62e8e1f30feb5f728e2113966b9ef2b", "5c797128feb235d2567757c2e41b5998b6ae7bf8", "03b73ae47ee0058af60de09ea3ef7696fc53eeb1", "103e96163be21d8fc41752716939832c91fc5ba9", "64fcaa77f87a8c0d5bf0402f499de8615ff5acdf"]}, "processed_text": "эффективность экспозиционный терапия виртуальный реальность солдат проходить срочный служба военный клиника психический здоровье"}
{"_id": "cae23343d2efddca3592b08a521a896af5098248", "text": "Повторяющиеся мировые Модели способствуют эволюции политики", "metadata": {"authors": ["39810222", "1724050"], "year": 2018, "cited_by": ["37fe1403566a4057c87488dd8a772489ed20e54f", "cc38101537ac4cfc69dcacfc0501caf4efc3d5ad", "e8d294146433223b8e50db26a7bf52dc202119c5", "b3b0c6a163790bb5e701b859bd6e0a7b46bed0ba", "d9af4e34555d5036bb318a6c70d03a036431f85e", "43054544c4ff2e25513de8b1a655593b8ff89338", "9cda186560c476a589020284c173584e45d9414d", "9343a98a7f11454b2d0c3cd63a25a776be0faa02"], "references": ["e9f4e0927c82a7e9f76adf226334e53e9494c03d", "796ddd7edee3ee91acbdb71c6a52e3c7fe16f14d", "6352bbad35081aaca0ac6c3621f27386a4a44ed2", "216545a302687574b0cdbc0375483c726b990f80", "41d205fd36883f506bccf56db442bac92a854ec3", "ff10eaeae7faad16daf3555fed894d6850ad3d3d", "49da8af69c3b0c698afaa12dc68f03075c8baa1f", "21c9dd68b908825e2830b206659ae6dd5c5bfc02", "c61d139a2382760f560164e25e4be264de5dd59f", "9e80d78616d6c388cbaa29e5bc8d837c2c30ded6"]}, "processed_text": "повторяться мировой модель способствовать эволюция политика"}
{"_id": "ed19aa4eb626c3fc5a64b858bae5f2cdd71e1193", "text": "Классификация человеческой деятельности с помощью многоуровневого автоэнкодера", "metadata": {"authors": ["3027844", "13364515", "40376405", "9432896"], "year": 2016, "cited_by": ["b4ae5952d9ec52fa2ee53d98ab207c77b8c8e80a", "0523eb01ef854d6d047465e128db287db6da4ef8", "f2033a4c72a9cecffeb658bb151cc6307908fd14", "800e96f2e2b39ab8247b94a2bd8781e205fd9c24", "21baa94f1d082739ad44a519450d61a7d9d89dcb"], "references": ["3b2bf65ebee91249d1045709200a51d157b0176e", "15cf63f8d44179423b4100531db4bb84245aa6f1", "20cb9de9921d7efbc1add2848239d7916bf158b2", "83de43bc849ad3d9579ccf540e6fe566ef90a58e", "c630a1defe048a9677f881eedb0da7727eef1864", "3597e247e0b0cb9c6a79613a5c7174c7f4ee2119", "03cb609fcfce6c60cbe3eb0dd8254069bf6d7573", "053912e76e50c9f923a1fc1c173f1365776060cc", "87d3fac0ed4ee429d3c811fb545aae35f0746d85", "55b81991fbb025038d98e8c71acf7dc2b78ee5e9"]}, "processed_text": "классификация человеческий деятельность помощь многоуровневый автоэнкодер"}
{"_id": "c64c8f5f2803fbecd670b303387aa7074dd94997", "text": "Потенциально управляемый двунаправленный RRT* для быстрого планирования оптимального маршрута в перегруженных средах", "metadata": {"authors": ["51151198", "1711521", "50247543", "2647296"], "year": 2018, "cited_by": [], "references": ["c8a04d0cbb9f70e86800b11b594c9a05d7b6bac0", "bcac5c847e32169c6eabd919f45a536c7a8c2ac4", "910f438fd969b525879c4f8b04c9ddaf86bef5e8", "5a30a522cd76688208a30e054d35dbc0a3bb4b98", "b2600fd22dbbd800184c7c187e8c35c86c913010", "ec20269bc2044829e409da304631c3d7f60555c7", "d967d9550f831a8b3f5cb00f8835a4c866da60ad", "ae93f37121ba3af8905a77b6e5e855b1245cb1d6", "111ff7f92441309e5d275e5f21f8de601c3f291d", "6e9ace1944e3c4283beac269ff18fcd24a9b83da"]}, "processed_text": "потенциально управляемый двунаправить rrt быстрый планирование оптимальный маршрут перегрузить среда"}
{"_id": "7ff20fc82c95eda6645ff2570279251bb8435ec5", "text": "Два типа дофаминовых нейронов отчетливо передают положительные и отрицательные мотивационные сигналы", "metadata": {"authors": ["48341860", "1863874"], "year": 2009, "cited_by": ["f1acc35dbd59288e412d32cd09c5a7790655266f", "b1e5f5acf6d8e1821176b0e8dc828e9955b19c27", "2f6c22be06b6bf9cf3293560d3f36795d473a169", "4cff043fc0d8a4b4d558febdcbe804e5e1c93f3d", "7e50d692f0745af3eb9ffcad1c894a0e10638b12", "015d3d72528192d0ade3f370ff2cc443ab1c3985", "056dc2c8017264ff77fbc209a3d6462bcb7a70b0", "d4d2611153b480c93700dc0302c2f6080add1a8b", "dddd0c315cf5ebc2ab13a1b2553ce2f8677d00e0", "2d9d9d1f76200ddaf80bf21d872329e829d5ff87", "e112daaa068e9c2fef7e233886ff035f0a5e108f", "5bc2cdba3f8087337fe5bacfe12e64b167e96968", "114e5521a4d9cd80682c6f202b87891dbf480096", "7f8e4abbf7ac4ee1069737371aa8ac01467e6de7", "333c42db7f397b3ae558f5c31afb4e0169854ac3", "f3e99b36c8ab52841b03c4073c1b81ac1deeae67", "f2a135052e8dd0733d7fbd6c82fd948a1c47a8fc", 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{"_id": "73f38c530a041f81d48cadd067246af448a6a24e", "text": "Воплощение абстрактных понятий: хорошее и плохое у правшей и левшей.", "metadata": {"authors": ["2830056"], "year": 2009, "cited_by": ["095eaa268e97eccad87cf0bec2ba6009af21be37", "cb664b13a9db1b24da11c47f4a12acadc8de0551", "f906b1514261b3d4b4497bdb359df69ce6fa15ac", "fe671ace8cef9e9b8151093d9ef2b37ad7efe50b", "25faa657ea26c0a6268c59e55c63782142bc2494", "fb5f4dd5fe30887f2463e05cbb4512b71673970c", "faa06f4ba1f5017708582b923cc6baac29cf02fc", "fadeb4ab637bf0bbdd2e5cde801cbf57aeeceead", "c871edcef907b9e53013eddca544b718b0209ec6", "29354f8a371d4a7b4d6288f07af2f2b09793f4cb", "cab77d4985ff018d3571178037277a87ad574a56", "746c6a2d345f1048273f48678425b1cf43f65295", "87c563bdbdfdced4003e50978786b0838f916c8a", "3a5408547c407c6f4766902448984238f79dc4af", "6308dce47cb3f0211b6ad719d5226f2c0f73bb71", "3ffb8ababc37b0a650989ba801f8204a1b2b4031", "6c4dce2951ae9567fa9dcfee68e2d09a4b54c028", "b974aabb90cb94edafc2bfe9d468022557e71ab2", 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{"_id": "c715db5c3ac2823ed5fa6c1c152b66921d5dcb78", "text": "Кусочно-линейный позвоночник для достижения компромисса между скоростью и энергоэффективностью в четвероногих роботах", "metadata": {"authors": ["3286774", "1982025", "31511327", "3083153", "8038419", "2875058"], "year": 2013, "cited_by": ["1bc4facd2c9d2a014984c42fce5e936234f48c5a", "19be6c0e9b5ebb0482d77828535cf9195c12ac22", "7f29468ada030ea73cc590da19b78a65c4f6156d", "1c6b2bcb74eae88f3196b7d905eca71710c0f3f0", "433b6a62397a13008268e5fe9e7c8ba401f9625e", "c17f362a9adfb0a0b5b090247a64a1220c191fa2", "50e2f3927612e3eeb32a6050258642ac1bb34df8", "8fbe5ad5108b76734ceeceb81fef7444fc9e686f", "ed3b512d6e1e4ac4a3c064ed5ca5d3560bea29e2", "3b77982123282351a44e00a7db1a388ef300935c", "8e789f0f7739452de172b06a9d081f438019914c"], "references": ["2a33f47761e533ba0279475bea2e9ac416f1cb42", "138317f16dba07a617d332ab749ea111fadeff16", "07e880c468301a9d5b85718eee029a3cba21e5e0", "3452e4044282be648d1abb83c9948d7887eeb62d", "26b4bc698d439d961bd11623a0512d780e504bb7", "4e8f6873148d2bb56c131208ad5ce50f2fee4bdb", "087ccbd9f1803f0d024579a6c0bd0b902bdf5f3f", "08ee1f247469c608ef3d9da6295d0e93ff4ca274", "100bc86e71684efcd7e1ef1e0ee26a226b5aa323", "1a43fffc654785ae7c1e1adc9698484412b8b982"]}, "processed_text": "кусочно линейный позвоночник достижение компромисс скорость энергоэффективность четвероногий робот"}
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{"_id": "a2707a57828b95443a7f3ef8153576299a2ad707", "text": "Автономная система орошения на основе интернета вещей с использованием raspberry Pi", "metadata": {"authors": ["9200592", "9746796", "9369508", "9347864"], "year": 2016, "cited_by": ["5c258e7ed26da9b4f2947e4c056471bf68961e58", "813d8b597ff31e97429a44e8b2c7564d5922135f", "806e796847e1c5936d5f1b1b58efbe69da0f7466", "a9796c233da59fea03e139d4ecc2a24128315c60", "28f03661bea2ec3ab4abb62c0933bb1fefed9522", "283f05652519b27c0375d1563ddbfef54584671d", "3e8c521e938ab8d71a852ff058a7a9e4957f4afa", "1dfeb8e1eeb9a9c5770a80d53eb7cb60db410a47", "9596768538051e58eb1457c3d8f703aa640e62bc"], "references": ["acc012f74964b017338be6bb4c05b6e6c3098708", "414b0d139d83024d47649ba37c3d11b1165057d6", "25ea01d7ca5efc1557248761be9323102108b4ea", "8075c73fd8b13fa9663230a383f5712bf210ebcf", "ebf9bfbb122237ffdde5ecbbb292181c92738fd4", "6ed591fec03437ed2bf7479d92f49833e3851f71", "cad28802916ff7f145897a266821447d932909bd"]}, "processed_text": "автономный система орошение основа интернет вещь использование raspberry pi"}
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{"_id": "8d0a7d58dd1a65eacac5a4b9b5d0726d9738057c", "text": "Полуавтоматическое создание карт для быстрого размещения автопарков AGV в современной логистике", "metadata": {"authors": ["8101773", "34630674", "33991262", "2629506", "1690166", "3120453"], "year": 2017, "cited_by": ["679fa6dae4adc24a5b1a48063d17e620ac807305", "05fb513a8d8fa24945d4141238cccb18edac3271"], "references": ["7190eee1bb23a60e459b1060261d7d3e3fdb9c97", "674d0c61553af234d163f35f286662f84cf7cb72", "ec322e123644a16cc44d6f1374fbdaea9cdd18ce", "98081464602603e7789f6ffd17d34d8404ed82c5", "c79343b4d863135d6d3d89e93e7d90087d90fde3", "9305d067ce9e58d57ed86e81fe1a54f60991c0ef", "14956e13069de62612d63790860f41e9fcc9bf70", "b75419a5530cf1ba417078142c05d9b043ad56db", "14ebb92bef8567a620195bb03f5749ac2d351c72", "9ab48e6d68d88485e026a1eb73f633e3f41352ae"]}, "processed_text": "полуавтоматический создание карта быстрый размещение автопарк agv современный логистика"}
{"_id": "960c2f5d1b5a34dd5c3cbebc29edeffcee42f282", "text": "Стратегия ранжирования методов оптимизации по нескольким критериям", "metadata": {"authors": ["3378036", "39965796", "48261382", "46456526", "3376694", "34425715"], "year": 2016, "cited_by": ["85d506c0b0900bcb4258446db6aba60f67baf6ce", "4c7ea5855c71bfc66ab4532f102cf09cc1b136b1", "8e6b1f005d03d0a75594ed2587a791489c0371f6"], "references": ["8af47a707765080cfb6f07dddafd1755764ab156", "117d089d8eea767e72d5bb800ba4d6e0e15dad93", "4dbd924046193a51e4a5780d0e6eb3a4705784cd", "1001c09821f6910b5b8038a3c5993456ba966946", "2a76e0726020742dad20a64ec7df182828ceb293", "27db63ab642d9c27601a9311d65b63e2d2d26744", "0e67bac2937f5f53f310564efa547efd82c0371d", "00960cb3f5a74d23eb5ded93f1aa717b9c6e6851", "3a5066bcd59f81228876b6bf7d5410c63a82f173", "4f9a756ceecc75f1f339dcaa7e590e6aef6f2244"]}, "processed_text": "стратегия ранжирование метод оптимизация несколько критерий"}
{"_id": "3f191a5bd42f23ff0201f30b1b70723d87ebf78a", "text": "Синтез открытых миров с ограничениями с использованием локально отожженного обратимого прыжкового MCMC", "metadata": {"authors": ["39697673", "38609959", "32074696", "1945655", "1689128"], "year": 2012, "cited_by": ["bcffc36185ce86eb2e313df8e914c64f354567de", "e0b3ad93dde06afc5b632cf79e542dcf3b65086e", "0b04839f21f02ce1251961040a20a9a17783209c", "c5aad1696b224a1783a90d0cb33ca0b20e2198ee", "2565e1609b0d2a9d8a899313116a60a27f5f0e4f", "1bc30f43e436d2900a9fee15c81b76f267e3dd01", "bfaf4ec44ea023e7fe5348c78f25630a97c1b9ad", "035a83ec27b56a6cc01e06c845f85eba63883881", "15f91ae7590b88c4a533daeefa4b6fa7c0c277e5", "c0f2b0ccf80e06bc02ac4e4a44c1f694065a9afb", "27f96d0a30c1d0fcde3655afbe72b954886ea464", "1d496d18ce3ca88c6bf8e79a8c5622847911bbe0", "4a92bc6b49949dfdb956c5778807f514df3796eb", "bb8982c6d985ac23ff55c58356d925c86c9eb891", "be389fb59c12c8c6ed813db13ab74841433ea1e3", "1b01e6795f6d483ab83383f909bd63d5f306d837", "f427cef3ccf7d69c8913d54718baacc7ab71d02b", "6fbcaf3b718e9346fd47c2338baf47e9dcc31d32", "54c95347aee5bcaae473208650a6a4107c148b84", "1f40209d5ce49a30a2fb26740fc5351cf51f05bb", "c1a7f8587b3a9f4f404e64083f750a76c4265b35", "ef750dc8144dad67b58bfe7837e703940e71234a", "76611a7a728a0ca9ca21a7d5476493442dd697fe", "7066af339585ea7d87087503a0391d3475f52ce8", "889f39eccaf6c72c5cf90bd3b088100530b9750a", "4671908d324ef47b4581fd9eca69702f825f14fb", "e57a325207c80a31de2b0fc6715f1234803e2e3a", "b8ecc8512ff231d6e90f7373584ef9d7e658dbd4", "50ba9a862432d0f1caae722d2710ba985510a191", "10d434bb656b4adb48638fd56dffb87d3b39498f", "2775064e562f0f1c1edfcc0cad2b8d481a9afed4", "3bbf1138fd727dd0d47a7b02140e4f6bed801a36", "ddf4e71178d867992b21183aa308084477d4268d", "5f0b678362772b7813756a313dae4b9f21934bd5", "94d1dcc868223b1cf25ae75d1acccc27ad18a6ad", "916ef21c1bfa0fd71d78d7378534c0cdb50bb466", "fefa100f0135c837bd14b9b9f2b681b7f4be25d1", "1b32284d732e0aec506411b71e6150df53d167f7", "656ce0fa1701f3c136154aa57d5ea9e095efe3e0", "f3a76b3377a0d5674940e793c3e57597c3d4f1aa", "53a620f102a99716bea89b8a618c4209d85ecaec", "8a5d1e1c7e341450dfec79f5d3839e1b22e89fcc", "6e4450b991c984a1bd3a5b56e71f7d137779c11f", "a0d74bb7ef44f902d55f302289c1a6bd19ef135d", "7d68befb1de02456eeb76a943f7ce574a2dcd26f", "0a7fdb84a43e76eda9f50c075c17ae93eb2b6707", "92603835b00190a92d1bf0b324193bee08dcd79c", "696f4757994d13352b5b934d3c1a18dfabb71d1c", "ce08c4d620c45715224b2645e419708e4efef4d3", "5853050e193ce325d80853775d2fc5ba68e7215b", "c0ab240b4ce3abb0127c64df3d727c0876ee888d", "7f8f7326f9c49937bb9710b53e10e31f3ae5813d", "57088bfcfd5dd30a4000cfa42b0d31cc4ce342f4", "7a925bde1f86b5745f09d70e9c2251f8404d8486", "63ce3fdb189ad93dc1b0a7af006d6cbb3df57945", "48d8efdce087557ef9a25329bf3348e61aad1d89", "a5b4c35ccdf5b554ff2fdd1ba40af0ac20226207", "a44fa79e17434ce39d5888079027751b303edeb2", "2b83eb5d404795650666fb1c396e59c168bd2520", "9cbaf9ccd65b3bcafaca5000ca79a3fd9ca90038", "dc3cd4e110b526cb59bd7527d540120c5fae77ce", "1a94ae9ccfae13d83d9387594b0562889ff52190", "7a1078981478f785c03b58dbd09bab4894a36ecc", "8d2eda874def1757ab6d1827a7f09d8311376cb8"], "references": ["47d86b8596997b19dded736cf7d54fbe8b9bfc69", "1cb0954115b1e2350627d9bfcab33cc44b635f15", "4871b188dce83d59cf07a15c565729f8cbb705af", "143d2e02ab91ae6259576ac50b664b8647af8988", "6ef3da9d9c5a7e2f96a1470bad413c857f64aa95", "15532ef54af96755f3e4166004e54fdf6b0aae6a", "cd159e7b67e7fa22baaa3e454ebb936a262007a9", "aac5ac0b9be7b875955e97fd1e5352624ec04d3c", "c440ea3bbb7fc8dcaa069ea550011ea65ac33fd4", "c7e3ab118463e532b0957bc66b58b490a693204e"]}, "processed_text": "синтез открытый мир ограничение использование локально отжечь обратимый прыжковый mcmc"}
{"_id": "805d1a86ca4e7a3ccf6060d7256cd81654b6f6cf", "text": "Использование реактивной мощности в глубинных нейронных моделях для ненавязчивого мониторинга нагрузки", "metadata": {"authors": ["19210357", "2035220", "2571608", "1771979"], "year": 2018, "cited_by": [], "references": ["2d89d66675b25aabcfe503f60235f2489d40e4e9", "73221c77c901fc966d224708bb439076d9894cc9", "309179b9cdb15cc63a641c88c753f76f93036bad", "d0f415a5d1ca91a934b72711b4594aa5396fe567", "422200330b69ac3f1c0cb8c97cedb482feccbb6d", "8ecc044d920df247fbd455b752fd7cc0f7363ad7", "ecd15fff71eaaf2350a7343fe068e21d825cc4a9", "7de85f4310bec8f7bd8c0b6ac9d92c0e6419dc2b", "09b4a61a524e221986895dd296ad2eca843d5f83", "57da368cdc056f25e54cc2fb7386c71a2b187720"]}, "processed_text": "использование реактивный мощность глубинный нейронный модель ненавязчивый мониторинг нагрузка"}
{"_id": "64da1980714cfc130632c5b92b9d98c2f6763de6", "text": "На выпрямленных линейных блоках для обработки речи", "metadata": {"authors": ["48799969", "1706809", "3089272", "1715548", "50293448", "2827616", "14902530", "33666044", "2657155", "49959258", "1695689"], "year": 2013, "cited_by": ["6a0845919dee05316aa250e4ae9fbe468e442b87", "6e44a7a4210e06a3abd033f2f7358d11d537e0e5", "32ec248bbde5c23fcb96892eae96d724ca4e1e36", "bb8034765b8b076f4a0f0d7bb5c00031e3cb70e1", "a741f1853b30c17ae7410dff5696696ad4897dca", "c5f37e7647fccd97d9c86880d911fecad17df424", "29e85099ecc60503b3779022ad645f246b7c25cb", "0f15095ad20a2f83842d95cc9d29f147f0e119bd", "f9fa195ae9b291419147150274ef17135fcf5374", "ce93e3c1a46ce2a5d7c93121f9f1b992cf868de3", "53a66038a080a7b7c564c6de2bf3b791db1c5d2d", "41525db1ecc54a02db08f398c7b52dec8fa1362e", "0b7c854224edb6c8493242bb2c86886cd253ab4e", "c521dd3c12a7bcb4cec2cc18a061398b605a2693", "dedbf5d18bbb995215d513abb21c8555fcd1b5f4", "3bc7c7cf58c9692d799f971cc1c294ba59ed3867", 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{"_id": "24b8b9dccfb67641c78d28ee6b56815191f34d87", "text": "Гибкое и детализированное хранение данных на основе атрибутов в облачных вычислениях", "metadata": {"authors": ["1865748", "46705251", "2018071", "2034091", "2837679"], "year": 2017, "cited_by": ["7c00e1cd60076e3f7d5009cb0e9a9e05154fd5c1", "90ff113b9e155252f10d26073aeac490e561ba64", "ebcf6972a125170a0e618af2aa331e6de5c682c7", "31e7e8ff10504f83766f0c6a7be08759bf5264b6", "71257f4b68e22bc7e59a854c45c972e81293f657", "e71c580c7fb0f0bc6874264d21f18f0f70d3405d", "f5d46fb1070065ad11b7e9b7b3efc7ed8f760495", "b355023c157a533bb78fc63d2839b4ccbd155dc9", "06ee2dd0da54d70c89c6d77db75a60d93c7baf45", "f3396eaf5cff5c8a460a49fb266ac0250a5347e8", "fd1c0969afd2661451e5d78fd32747a425ad7aee", "d64eb225ef0e654e4b25c7f24acd919abe49394a", "a3af6d40b711812a16334474aa75771180c69b66", "038810a378daa9dc57f9f918f9bc7f2c083a9d40", "fae2279638e828e1971af9ebe62b590575728bcd", "9a8858e16ae48467158344b7b903d90ae7f397c0", "fb382315e820024ed0aa859d167bf67759dcf575", "5991ac27029c40a4cf25d7f0bed8233b10530432", "c71d5a384f4be42c627c94ec49b14702478ee043", "23966bb1070b40c5e8c4ef9dd1e71cfcf6fd5447", "de1ed7288b7ab575bd954853193adb8ba9bd62ca", "ee8bbcc7b775bfcfe02d0f2ed8bd59c98c64d896", "d30f45e0cb8117c8f62b9d37d196db8382479bf6", "cde1aad9a25388a209ff506c253ad93337a5c406", "b60bbe679016d9368e5f0f801c0a866bd9ec8837", "25a4c422f6b994ec46c20f4c69bfbe689b55da69", "f424e47ce070136259619d4469e5ab300803195a", "a1264da9017dfcb485a23e9ad4b48c5b1072ea70", "369d1f49ceb348e4511486e4cd31d8b24a0268a9", "3ac9eef927f4165aa6879406c8221fa7438f48f5"], "references": ["a1aeb66b4b806c075438dff0ba26ebed41258d02", "4c49037a5d9e5d0ccd33ab915bffdaabbd632b14", "24f902fe80ca42a2a73ca7c5c359a627fd9076f0", "b833c46a2b4763a0c82c0e56bee45dcc52bdd60a", "1800d4306a78c39ed222285bc95bfada75d2d14e", "566507808271efdf89d9d190f7df479fe38b2e61", "d0d61f34db1ead5859deb3f945f351a7e125a17e", "3596815d999024e7492002b47a9ae609d194fb53", "0b277244b78a172394d3cbb68cc068fb1ebbd745", "0521326f4e458b110c39290871164d5c767a67a9"]}, "processed_text": "гибкий детализировать хранение данные основа атрибут облачный вычисление"}
{"_id": "521402f4cad16d19c6a7dd43be87569471172602", "text": "Оценка геосоциального влияния в социальных сетях, основанных на местоположении", "metadata": {"authors": ["1720735", "4983704", "38429669", "39076756", "2233401"], "year": 2012, "cited_by": ["e2cb4434b990728614b57f69da612fa6265ed6c6", "1f525d94642c36a01304acb3a8ce4ac8760e1270", "e5aa59866cd8df4f2b88ee6411866a46756b28e1", "9fcbda99d1701dbe7e329fb84143c23644e36ee9", "3e1e5a5edd5858d906b49363984a3e3659fb9478", "3f9814fd6ff4ceefbea6210f8c35cd9631621d56", "9984375d329af549d72210358450f2620b4d8101", "089b018082fd9fda6f735e4b78a43c1901e4fc97", "626596738177fb60858054478bcc7a61f19e3249", "5084d3670b0cccf67bd1c1cf3494f67b15455176", "126fe1cd0545b7f256c1e81284c151a39627d6ca", "e270cff17af0a291ba593fe4b7bfc7b278e49bc2", "53143367311ef29e4c37cf16b613f21b00756e93", "f886599a6bd647c2f785ab7fe5adf42520faf7ff", "b4df4fd8cf804c34b0b1eadd027d9ed2f5f0cb75", "9bc08e9957134548cca6cac1e05205f1faec2e29", "b3ca8fb21ef2e12b4aba555230559d632c1e3ea3", "67dc19da49fb853308733413407aacf06333bb44", "47f0455d65a0823c70ce7cce9749f3abd826e0a7", "c1375bfb196c2011309e30586d9a1ced893bfbaf", "1a28b3914ae83b05ec36ab45496914b57c29917b", "005fb35d5eb267be2852148190eebb95b3523946", "10adbab10ea1063c599ce137d9e5e7f9ca33303f", "dabd706aae0d78b5706221563c22eff5f830e839", "e331f25e859621a126611871d663dfcc693f9939", "3d5e312ff49e465d5ffed323c503b54209e1b3d1", "9f009dd181332046347e8334ae37ae7be9dc4b96", "87f68d02ab137278ab162e8a8e67601f371bc86d", "0a6d1db63ebc0fdcbc6ce06066482fbf8d96f016", "6a18c38dd43619fe49d63e639175691ae407706c", "9b565b6c14125998be3e974b9ecd8fb0d61fda65", "7b33f9b7cb34f374758ae0fcf3ccebed099e490c", "153fa87b2e54794feaf5cb72f6a62a1310274add", "dae5e5786848fddabd072942702a0c3592b70421", "bc88b8f730a41102c5ac80f2c3a062bfa6b35cd4", "fc6acaf5016f8632c72503f87a1abb05504be5ae", "e9322f9bb0eecd20046df30f484458feca7fa7e4", "ab7448263c364bfac90fcffa4209035bf6d50736", "1d53fdd4cdd5b966d5b7daee6702760af858ba63", "11078d623b004f0d15794149d9c89f2a259c4d0f", "74aec4637ee46f8155b54460fc630fe73028cdff", "659d86b70e3a82c0277e4b410860312fd27d3c91", "36ce96fd096b9f7efde158b445dad010e14dacae", "e4644e488bd69c7b97e078d128f7dab8f69cc6e0", "63baadf5904add373af187a16943f094b9beafa8", "49179a281cef40801bffeceed2f9eb262df8e599", "569b898c857ed010cd87b0918e4559985513ca94", "281ca665cc2d48a73b6e1c99d2508e8362833c07", "2530fbc5206bea5981417911bc61153b23cce2f2", "313ca5259607b0b7a6d69230c8dbc3b12f2421d6", "0e0da6202d7da69dfe55ec67a8e16b914ab1d684", "f17f340e5862f65dd469ed97c6330894acf05104", "973d2331149eaf3e740302d8d705ccbe93e012db", "3c89e026de56f84d6d4c1ce733d78968dac40ca2", "107bdf74734d7f38e8680cfb90e3b8baaebf92c6", "9c9a17b213c1454b0b9a8845d479274b00e17c5b", "00eccfcc29bfe2192d669dcc4138a80a29814e35"], "references": ["42c59ab09d32e4581c593ec43f60ba3ede8d27ae", "1339b888fb739b8a1194fa94fbe848e01d93456a", "3581ff32946ed9ed07be8e307bffd57d3b8d995e", "d2e7d37dac6b9eb313bd7918f162485111608bea", "2f9f77ee4fa453cd114665f8b487570c0affe235", "2d941444a69375bd66a82f416c5092a809b0621f", "2a622720d4021259a6f6d3c6298559d1b56e7e62", "ee742cdcec6fb80fda256c7202ffc3e7e2b34f4f", "e1f3c9b4da3c84ef47d357140e842d44056c8a98", "471e9d18671d713528bf2255eba68476d5acdf2f"]}, "processed_text": "оценка геосоциальный влияние социальный сеть основать местоположение"}
{"_id": "92a0cf2085013da3fe1fea2090d1bbabcabbf5be", "text": "Создание иерархического текста и планирование стратегического диалога", "metadata": {"authors": ["13759615", "36795129"], "year": 2018, "cited_by": ["5e16b823625b912c0bda545cdadb547474f59a6e", "e2a2818ec251d947acd9c74c2040337e656946bc", "4260a9214dc23ce8149cf966ecf047d54597d798"], "references": ["3f55d26dd638c849745b95e912c28d88445ba5e1", "17f5c7411eeeeedf25b0db99a9130aa353aee4ba", "07a5c4ba84268708146aa4bf5cad9491b3e35051", "20690b7465e6fef5337f0c9be0a302d33b3c9b3a", "86473f5382e7fc6ab01609cdb478258a7a4798c9", "3d1427961edccf8940a360d203e44539db58a60f", "a85b2dbb40ca00fb70f4246b2f320c90c4379e95", "cfdef0cd7ec53868c600005ec74a4a34f063a004", "aea427bcea46c83021e62f4fb10178557510ca5d", "bdfb57141b2141095ed942b28be24808aeba8d54"]}, "processed_text": "создание иерархический текст планирование стратегический диалог"}
{"_id": "c8dfa1ad91f484702e0d5d80e63bbae071214142", "text": "Миниатюрная патч-антенна с круговой поляризацией и низким уровнем обратного излучения для спутниковой связи GPS", "metadata": {"authors": ["3165674", "2244725", "1950116", "9183814"], "year": 2015, "cited_by": ["b08cf791e2d79854e60e981aeaeb829385aec83a", "9dd4d7827378f77c43d24128a08dc4db1b831a9b", "97a18d0c88d72bac9fbdfe9d19485ac37175177b", "726241808678890a49f480f81729bd1ab6823e20", "153ad5d90da4dc7fae4049e15aa44c7c2d26ca92", "86d65c8e231bdb4479915f90a374f25d003f2b1c", "0cb708fe48266139d59546f4b326ccbac624ed65", "a620c895a8ff473e8b5c7988c00139a2324c8365", "35339dd8af203ea835c7ed1bd94313f7e67f76a7"], "references": ["d092bc97be34b7f5fb94a8a63bd9090d6bb5ca9a", "a90e6f1f31186eb80dbfb43840894b6b8e37d8e2", "b2f2f1c695e3bf2471edfc2bdb0f806b55dd2a7a", "b83d2b75097e7dde83826dcab3769a377fd4144d", "469807c3ece984e2ce4eeb9664887a6067346fe2", "08c29702f51daa4f0a24bdb333fc4080c33ffe2b", "d5cb7c912f7b771cfa3f63d6d26650362042b209", "d280db9a3e383f2f6b963ff4f0dffb7aa80f806b", "7d9831d123177d4eb58ba9cd90a5b25e94ba5ed1", "5400daa7c04f4dd144d7eab0d75f8a6f412c6763"]}, "processed_text": "миниатюрный патч антенна круговой поляризация низкий уровень обратный излучение спутниковый связь gps"}
{"_id": "fbb4138d94863c8fc27aae824eaec9af2e971f22", "text": "Двухкаскадный кольцевой генератор на 65-нм КМОП-матрице с фазовой автоподстройкой частоты 7,6 МВт, среднеквадратичным колебанием 214 фс, 10 ГГц для передатчика последовательной связи со скоростью 40 Гбит/с", "metadata": {"authors": ["2861646", "3365929", "3061803", "18083633", "2850552"], "year": 2015, "cited_by": ["88a5a69445a040707f196128bec902059ae12a7a", "6a93746a943ac42ebd8392a12ddc8c4f0c304b80"], "references": ["33cc1776eb6d21913b03ab9e0863fb9df9372ca7", "9152fef428804ffdd64a4f557fbcafa25e1f3b1f", "eaa2521296f062bd5c0ac34e102ba844bc99eb68", "7c20ee8f1f0cf483734eb0900ad2fa7dbe96c310", "836ce293d9a7d716b10bfb88cd66606613f13926", "59cf7327ce51071569b8b854dcb2e8a057178c7f", "0324ed4e0a3a7eb2a3b32198996bc72ecdfde26b", "43d914f62ae357422ae60be352faf7310702f527"]}, "processed_text": "двухкаскадный кольцевой генератор 65 нм кмоп матрица фазовый автоподстройка частота 7 6 мвт среднеквадратичный колебание 214 фс 10 ггц передатчик последовательный связь скорость 40 гбитый"}
{"_id": "45e4ed3f616b6177beff78721aaae0a61506be05", "text": "Поддержка принятия решений в области прямого маркетинга с помощью прогнозирующего моделирования реакции клиентов", "metadata": {"authors": ["2189911", "2420048"], "year": 2012, "cited_by": ["56620a70a99217db68ec9b214f1327dd4213cdb0", "04369fe4ef0dada225643d477367b87c8c47dcda", "bdc3ba85e190bee844201416ce76e40711ac70f3", "0ce5901b64706129075e83ceb1f73ed58e32cafe", "2f541954b98d97d38f4e6081d46abdbdc5b5e09b", "5879f12c0823211d63403620b52e23ed148ae5a8", "c46d13e22f59d0bc3fd45e7e4912e7ce2f5d72f3", "f8e8d2f19c3dfb376a462aa6d9e839b75b578e22", "b6f489dc0b424fac3b4750f7caa59314b798c044", "07ab1092dff198f20717677c72a7684dfd3f37e4", "4fb60b2d6d152e490d9b9b63ed61aa8399ef5e25", "09c1c363819c1a3546aa226b9ea2cf9fc499da56"], "references": ["da8701d5803a7eaba6218cd8c633119432a819c1", "c1c74829d6430d468a1fe1f75eae217325253baf", "bd1c85bf52295adad0b1a59d79d7429091beeb22", "c93c69120771a6a4da272dce0520b97a1231cc2c", "1a63ee4e670dbc0d238c64607afc015f9dc237d0", "489be725fed18a7813d721f0817202a0a3fcf208", "d29f80024a482915050fba9b86635e5087ea9311", "30f6a527096038fc128f2dc5520019a215a60ffd", "30d0600e9be1ce97a196f32be99b7ef57839b76f", "2121a91da597a8fdebcc8547a76eddd2e094a1f5"]}, "processed_text": "поддержка принятие решение область прямой маркетинг помощь прогнозировать моделирование реакция клиент"}
{"_id": "350db81caaa9c8dc1572f97d90bb8e13b0100bbb", "text": "Энергоэффективное промежуточное программное обеспечение для разгрузки вычислений во встроенных системах реального времени", "metadata": {"authors": ["38900825", "1970668", "7558152", "1751800", "1696961"], "year": 2016, "cited_by": ["a01d6b20439e5dffad0a57709974f21f8d0b89f4"], "references": ["04dc0d7e143997ec81afa6caffe9fa17d855006d", "e0da146989f29333e5817c3155d3b2ed8f085623", "3f4fc12b617b9f3156d64e84b6fa891fb257f736", "cc8b67c9423a06bb7f1ea5d5a099279ffaa07b28", "562836843897bcb98801838b44f3e5ff09fe212a", "ef3d22f927e60becb23b3d68e83e18217b2f0780", "b11b885d07d6e23c732ab89ddc4fbdc54b922cce", "9da3730286e330a802af8414cc84988e0fe8c7f8", "67ab675999e4b11904743070e295bc22476080fe", "5988686d4f67ac9dae5fe8fcf5d17f11dd17f83e"]}, "processed_text": "энергоэффективный промежуточный программный обеспечение разгрузка вычисление встроить система реальный время"}
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{"_id": "54745a3e51fdeeef213bcdfd1091e98a8f06bdd7", "text": "Музыкальное обучение как альтернативный и эффективный метод нейрообразования и нейрореабилитации", "metadata": {"authors": ["48306890", "4341397", "8304793", "3343696"], "year": 2015, "cited_by": ["67c939264e556b696d7e216b8406b9653d8bd520", "1edfc8cee90b14b5a7ba73a1e0b4470394cf5453", "c9611caf2b372e634ff3ac684b131a3bd1abf506", "ae7d30c591fb99a42e505c0b6d16b0d55f085e06", "0c0d8c1bfb53f08272674d5c768afbecea98c1da", "abe3864824f04254e3e021b72aba844b56b637ed", "d0322fdfb32e1c049d8f19f755e1eca29475897b", "2e3e58793f7ea9e8a5edcb4d265e78f0c36566e5", "f6f2c640efa08015393f3df73ef28a7b4fb13ba6", "48bb11b5c960e02e6cbe665477d541a394288cd5", "aef2eaa387aee5d350c049aac8a351f5c054b378", "610b2124b2689021200fa6e2ad14979494a41e83", "c820303aae50d7c1b116510273e250cb5d68baf8", "69f55b5fd350bd76512d9c3b4243e88a03c2e5c2", "2cdf6cc4b7c18f5cc37782b018343b7102e7a120", "debfd056c526e7dca34d47213e3a8f5035a55adb", "a7276aae5048bf2edd605b272fc82beca9783e7e"], "references": ["907c630dcba03a7120644269646e94f4f8c8ec3e", "eed20336f7cc7aa5ecc7ca4f80b62a069b1f7f28", "8216ca257a33d0d64cce02f5bb37de31c5b824f8", "75777db10d029b188b3dc5bdfbe4affad42e471e", "ff85d13e92b7728fad95977f9b0f00641dd98fe0", "52d36b4ea9949ff831d6a690cc11ffe15119b20a", "c5490639de4af513bdb1882e593c2f87ffc3188e", "08d55a8da8cbd43f724410c1ebed861f7027c5b9", "7a561614b6af58b0bedf9a6f82cabc26f08b929a", "1a1036235892c1700622671e9d8fb39f0fb715ad"]}, "processed_text": "музыкальный обучение альтернативный эффективный метод нейрообразование нейрореабилитация"}
{"_id": "f5befd1da64812a034bbdd0813f795e4e565ebe1", "text": "TriggerSync: Инструмент синхронизации времени", "metadata": {"authors": ["2611538", "48986778", "2080792", "1803115", "1714296"], "year": 2015, "cited_by": ["dba1db9bca2e79c616e6f258e3b02ecec0b01a96", "54ec4e343d05bcddbd1b4ce8ce3fd43de775dc40", "eaaef337c15137fa24728fc6cfae2b0d4be3167b", "cf6750a8eff3423749562c961fa53788c59576a4", "62419980c80b4b5fe22acb53c4d86d2e1788cf4d", "435a927a087b466c0918ed94145345bad36314d8"], "references": ["3aed9a5c5ebdbc43ec9d6d603cc18eba59b19f3f", "e9b107dd9654db96ac396c664792dfa3210d4f21", "83fcac3969e59487b63174773eaba080fd925cc9", "4466dcf725e5383b10a6c5172c860f397e006b48", "aeffbf72818997de7015d929517ddc6270c21c8f", "1371bd3e6834136d08e917c6e51ca9ff61bbd323", "5c17dcf68621a2513eb2eb3b283ac69c5273006e", "35013872fd65d63e0b9998cc5d2ea92249dd0c9a", "7907490c5725d32a08c95ce497123a41ff1990c5", "76d3036f2988ceb693e6f72bac37569a9c4797d9"]}, "processed_text": "triggersync инструмент синхронизация время"}
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"processed_text": "интеллектуальный анализ текст биология биомедицина"}
{"_id": "daa9e3b88e01db5440b671af2d13c1ee974a8fcb", "text": "Функционально связанные сети в состоянии покоя отражают основную архитектуру структурных связей человеческого мозга.", "metadata": {"authors": ["5025388", "2017946", "2893526", "7476420"], "year": 2009, "cited_by": ["b87b329f556ec55530c8803e1727b516e94e4dff", "490936fa3ab322d8f7a19dda94d853c7ab43ad99", "3891b7b5ae3f6d92a6cb36318ac87b52405523c4", "b826fa77fd43e1893b0ca820b6709e661818fe1a", "7343e0f19e2ae4376c0a46e20447794800e7c516", "64db37654a6025907c1edf25f6ee8ba14f8d1faf", "7a0b470ccc96aa1c8a95f0723c49e70cb18507b2", "849d99f535beb527aa94a47ffa990b8be93054f0", "a1fdace478c9c730613a6365ebf3890bdc9ff5f1", "54315615d8a8937f0dc8d27eb0b4b1e972a5ffee", "2961aed7cec70d76b5ebdbd078ca013e193e9905", "9e710119d7372397c19dbe44fb22bd4d926aadf4", "0afc313d694b36a054152c2954590498b27bf4cf", "2ef877a2e389bf751748e8b8d2aa67b560cbebaa", "ed068627b790332ca95fd38c9800295696aa4875", "e874c1064a63f5d0399d8b93ef8e37c7a903fcb5", 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{"_id": "d887526eaaaf42627b8dda69ef0c1ae561453b8d", "text": "Администрирование мобильных устройств для безопасного и управляемого сбора медицинских данных в районах с ограниченными ресурсами", "metadata": {"authors": ["11380317", "8510411", "7548201", "1722252", "47785144"], "year": 2016, "cited_by": [], "references": ["b1f4ed86cecc8447c6c714eeea26da4cacdb6ed5", "104e773e89def3923c4ca542399877ef73b84b55", "5ff03e34fbe803cac1701c320f9774c9b736f14c", "a6663f331e2b2f3b717af929a814aef400e80620", "ecf62bdbf1d1f3c07324c0c5f94f8ece7a35fdd6", "35fee50ee6668113528602764e874ab159e5c649", "61a21f70a5ac94ad501b996b9738d96c824706d1", "145ba080f9c6711fd63c6e47d968d98f2a07b372", "56501b3f890e39582367cb2a0542579b71200d14", "2129da97cbb9b3e8088069e319ae4502fea79ab0"]}, "processed_text": "администрирование мобильный устройство безопасный управляемый сбор медицинский данные район ограниченный ресурс"}
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{"_id": "1eed0e731008236ddc956ffbbe9051e13d54f2ec", "text": "Интеллектуальные антенны для спутниковой связи в движении", "metadata": {"authors": ["47451230", "2090671"], "year": 2017, "cited_by": [], "references": ["d7260b8cf64aca3f538080369390490830a1e248", "48d103f81e9b70dc2de82508973bc35f61f8ed01", "b40b8a2b528a88f45bba5ecd23cec02840798e72", "95ded03f3eb9d60b3e3d51931147d5049be4ba5e", "f254333ac1fc6ab29564ab02fed4105b0c9b0083", "044060cfc594416f662efce55ca80e134cacbefb", "fd5055f7d17666041c915d503c2371e53a1b1d02", "7294d9fa5c5524a43619ad7e52d132a90cfe91bb"]}, "processed_text": "интеллектуальный антенна спутниковый связь движение"}
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{"_id": "93f6bd353aa3354f9669c1d93effa78f863c1fb4", "text": "Улучшение видеоизображения в условиях низкой освещенности на основе многомасштабного алгоритма, подобного Retinex", "metadata": {"authors": ["37770289", "1847117", "1724667", "48927440"], "year": 2016, "cited_by": ["90c82f76fad29a83b0c9db099252709c993f88ec", "69fb2909cf9508b9455081505cba010e49bf5703", "4bdb1601505f9d4abbb4a7f94d58b98b8a6fa0d4", "70cb4bdd05cccc1f99cf690582e66b7637b81da7"], "references": ["8cb27c426351237dc0097099fb66bb4974f0ab63", "c907ce2a9c40ed87caed0a989ce7d27bd3a59098", "114ef0ee39bfe835f7df778f36a8ad60571f5449", "9fa3c3f1fb6f1566638f97fcb993fe121646433e", "e684d9f261c586f2544a6a7aab8720e240a04ce3", "916823fe0525f8db8bf5a6863bcab1c7077ff59e", "2fb19f33df18e6975653b7574ab4c897d9b6ba06"]}, "processed_text": "улучшение видеоизображение условие низкий освещённость основа многомасштабный алгоритм подобный retinex"}
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{"_id": "58f1999f18a0ac1366cbd47dd409cc1df624132b", "text": "Перемешанный алгоритм прыжков лягушки: меметическая метаэвристика для дискретной оптимизации", "metadata": {"authors": ["72278486", "2085366", "39304081"], "year": null, "cited_by": ["aeda92303f6894e1659b29558756808aa6420129", "65f69ebd7c2ad6ac480ee2bd1e293570afcb50b9", "a9e29052368f9b202042956b80e18877f03dd119", "71b87353d24eab9e4fbf4c1a7babe35901c8ecad", "01877728eb4a5d711504a02cb9b8c850ffd661aa", "034191a9fd76d19bd95eb2beb44b82719f3614c6", "03220d76e8ab7d86766793ce2c5a959abf76809d", "3d2b5e0c38a37133e6c372f979413c27127e3d9f", "412327f16b655c1e231aba37530c12962c8af677", "dfcfa77b3f44deb15d701c5953ef09fc0a414e5a", "f00eaf428f3d5c2f95163749eb0c31533781025e", "6147cfc11362d95338a7f8206da6e599f5aadaff", "354085abdebdc2c7cd1cd56dd7b5ce95c4ec6b7b", "a86866001a50514cf6b9383e1f037ceae3749199", "203d86b348616a9e7c23f7934256151a47f3c0c4", "6ae419d8f55b54f4ec282bc7527ab0aa5a7b787d", "06f5fa872a4220ed70fc6944ed31c1542711e2b0", 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"processed_text": "перемешать алгоритм прыжок лягушка меметический метаэвристика дискретный оптимизация"}
{"_id": "9ddda6862a8eefbb04682b449eefd6f37a45949e", "text": "Технология как оперативный ресурс в системах обслуживания (эко)", "metadata": {"authors": ["1916687", "3321721"], "year": 2014, "cited_by": ["44401386ef3cae6e35e94b5fe9b2475cdab62d36", "45a6d5ebc4486c935a89f360351e57b72432df37", "cf2b622e5faf28329ff18b347ebf7300abc17337", "fa4d00069ac0d46ebf55e00ac451f29dac782a98", "59e5a0f0e7ca1c7d7b9fcc004fcb37912505cf66", "c049aba13fd569a54975373fa3e0b91e66f96eea", "1b3047f3d48b37499c4be1365e2f6d3f8693711f", "8587d447d85d6bf2bc941e666dfc00e384f3ad22", "f4fb0e16c5922cb44923ef5745ad6b967942910f", "556b73fa3f1dc6277623ec2c611c36cbfa19353b", "7ecdf8005260db84761d263340984ed6d44afe08", "4c1a973f8f5a2ca209b73bba8e62fed30ca776a8", "e9cec6cf52dd869e5189c6c0e3ccfa89d1e14d30", "8783f254ea85deac224196ca03465aedb38cdf46", "6742732d5f4a775e69a98752d254367f68783e83", "c7e871669c92fce6afd688df9138db7625d32ab7", "0579aa5fb53c23fdb520a930e5b84355935920f6", "0ff8c895d4e01febf633b3a37d43af2379ab96a1", "db8b86aaefd18779b7b14f877f84b850dd111cce", "7d3a862f99a76b37de373f3d55c299dad9b0aa92", "27a4c0f671b74a162a83abc4485a2f1fb6e59620", "bb91997d31265f46d10f0876f9824a264ac75fb2", "3323be7977acaf0c9a26d27d779615f574459873", "f2a8880c747a3dd5e8fc7f2bfa2b7d8e656e134d", "428755af165b6b85fdc2d31d5d566186d748962b", "b942f732990c2352eb5b5ac6eba93a4e32382805", "25bd66a02a8fd8f445b5da305364b98331d36171", "c415a64769ea7ff0b8b4924b485dbb6b7d8cb41a", "8561ba9cd5fc1b6503d3dfc5bbc7640e88a53953"], "references": ["0d4a5e11e6ac97f46a1bc9f5484b98ee60e6e373", "35816c71f9dde892e12f17d2812a08f0a165db7e", "178b30eaba1a042bc399a53129e94e15ca2fb9ab", "fe9ac1f1fdd9e4f583e4371f78d46028ac631a95", "abca15e9c26e155ccf2313d1b8504a7afe7fa9a8", "c2562f0f0a45bfeb10a85969db7b15853e2bad76", "4b20906b0fd9a4455613b241389460f73d90a80b", "ffa26672501e3b00baad780ed29cd5f9a467f3ac", "d48b5fb1d5355814d6e2598b8930dda24a1a0d49", "846f7f465f44f6746a6743d439bef48dbdbc7754"]}, "processed_text": "технология оперативный ресурс система обслуживание эко"}
{"_id": "b66bcce42123af3d5384aa32f9b3f1721f7ae5fd", "text": "Классификация ошибок датчиков для статистического моделирования восприятия окружающей среды в автоматизированных системах вождения", "metadata": {"authors": ["3062578", "3252312", "3943521", "7140907", "40400035", "2667009"], "year": 2016, "cited_by": ["80bdd16c99349cf3a39bb18a7d042cde1b727ba2", "50c86c712463a8963a6b69539b81b065ddda64fa"], "references": ["31847f39d468ee33e114a785bdf63926e13c1b66", "b92f68b6d3e05222312d251f658343ef3bfe21ee", "2c6d7bcf2ae79b73ad5888f591e159a3d994322b", "2cfc5580436daf9eec70529bd52f1c501875278b", "ec26d7b1cb028749d0d6972279cf4090930989d8", "298500897243b17fa2ebe7bde0a1b8ebc00ea07f", "fcd920b5b8f8e11c750bbc741fe76bff43bd2bb0", "017b3160c392224df8fc47b6f92d5301f116b003", "43ba90dbf1dcda2345cdfe2afefda30a00e9babf", "b6ef971310f79b3a5fa678d2e632d131fff1f037"]}, "processed_text": "классификация ошибка датчик статистический моделирование восприятие окружающий среда автоматизированный система вождение"}
{"_id": "c20b4068be640ebaffbc56382c3e4e0bcf62664e", "text": "Учитываемые языковые модели и обобщенный параллельный откат", "metadata": {"authors": ["1748118", "1783839"], "year": 2003, "cited_by": ["ff30996680515d2ce9f346811d2e19483fd6bb19", "8741a85080b7b8f1752ff7806a6294374e419e0c", "b68b17f4baf34ad18fbec0f7854ea77286024ec2", "73f3041d547071adcf42d0f0c6003e9d3637cee6", "92397a1c82f25ef822d6df6f68d80f6989f1e89b", "e495436307f98a53470ce54e67b9b13ec1573f01", "cff1ce1f325c5b2535878f1b16605892404ad5f4", "edf4014d952e332ed721134fe2903ac07acb0488", "2158399648bfd7e142cc552bda5b83209a3a3720", "a8f0f0e318ab9ab8d4e489949227fe4d1c9bbf38", "272ca8140c62aadc6575a8ed144d70e433fd53f8", "148e406c96a2393f82925bb69400319ff6d74113", "927c25cdd384e8f39ed7db7ab1558eb7fd8f048c", "da8395141587cababd488ee761131f36dc404def", "0b366cf89756a6421515b6cb06a30be2bdafd616", "ab85801b0172e285783858b8e33603dd0e7d3a70", "838007b1b36c6c775323bed802b968b18ebbe569", "a877d2fae5368c8cb6a8ecc2f80af98e2e4b2d7a", 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{"_id": "0bdb616e15d3d6f17b90e2e5c588bfecac13768a", "text": "Руны Одина: Язык правил для извлечения информации", "metadata": {"authors": ["2345989", "3448510", "1760868"], "year": 2016, "cited_by": ["b3e00a517ae1b3f7068a7be1e16bdddd918cc039", "1f6c303718a69f0a74b8dd85ba5dfaf4df08e18d", "191271738d391f3406f08821f0a7913d628be821", "539d147308a1c3d73f54d77a051f8adedbc41289", "3b57dc3c293ecbc5389f61eaf0c38938b1a3b967", "61a10ab4bd4acc7f090c7b7db2614e28ad509bfc", "a450d8cab6ec39003fb371a45625db7959b034e9", "7ba0aa88b813b8e7e47d5999cf4802bb9b30b86a", "56b1000a023913c22900ee8d9bbfd17f19b44ec1", "d3af899c25a30eb752e613e2b0b7683f444079a6", "24f8cf51a78f43f10abc59f11c256ca4f2558eb5", "024af606ffd8d18b15db6482169fbafe149ca36a", "7dd86ff8dda5971398aa4a76b01b447d9dc38fd4", "2f3b5dd4dfcd2fe49c6731bebfac12eb5c5d236d", "278d933d2d285ce6869d047d1602fdd9f3de5bce", "b417e23381e624c25f2f5e231350df48c57791d7"], "references": ["36929f3d5f4cf670fca334c44019e7063da22917", "954cc0f70b2ab83ee1062569242aa25d78ba62e8", "1ac3a1c91c982666ad63d082ffd3646b09817908", "8c15ea504e7e93b15f41ce5c8fb399596e8fa435", "967972821567b8a34dc058c9fbf60c4054dc3b69", "14c146d457bbd201f3a117ee9c848300d341e5d0", "13eba30632154428725983fcd8343f3f1b3f0695", "2b5aadb2586707433beb21121677289d196e6144", "1d9a43c277434ebdba3256db2b3b6695d2620a4f", "e85a71c8cae795a1b2052a697d5e8182cc8c0655"]}, "processed_text": "руна язык правило извлечение информация"}
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{"_id": "a4f5fd6f54e3a6222fbc5d8e0b7f85ce89d0237e", "text": "Ограничение распространения фейковых новостей на платформах социальных сетей путем оценки надежности пользователей", "metadata": {"authors": ["1778504", "1727558", "1723331", "1712150", "36393848", "1711100"], "year": 2018, "cited_by": ["090f1607c22c5aa6e4195affa37c12d437a6c4f4"], "references": ["0a0a84bdf303fc4f18840119f3f622f2e452a079", "7cfab12f2258c12ef68901b1f966803a575847f2", "042b26c5f0063661a1c72997ff7a6793904b9a59", "0f74ff9c9cd94ee2c874b9e3a979665c1cb4c0ac", "9cd5223d070b1d7891b2fcd79f0dda5601aa520c", "055b1405c846441c7e3f3ddc827c2629d8005ad9", "94a62f470aeea69af436e2dd0b54cd50eaaa4b23", "296ee25f8358ccf333da8e0d8ca1e6837f7f6f57", "24e56a1b8e1d4f32efc64a220da19f948a2942e6", "ced981c28215dd218f05ecbba6512671b22d1cc6"]}, "processed_text": "ограничение распространение фейковый новость платформа социальный сеть путём оценка надёжность пользователь"}
{"_id": "6e5ceeea4fadc64da667f7693072a95df5a785b9", "text": "Определение элементов дизайна для модели зрелости межорганизационной интеграции: сравнительный анализ", "metadata": {"authors": ["2050695"], "year": 2012, "cited_by": ["0306d920ac292632b1c029b8c927259ad5352c3e"], "references": ["bf934c66de403216bc9cebf5bf0d547cd60ee66c", "16d8f3b4306879e085b0d14e39b7fe617c9fa4a2", "f04f75cca7100613695fa2bb85917e90b5bfe2d3", "db63200c9663f077ff1267d93d9d9a7b326fd2c6", "7588c5f7cc699d7a071e85e08eb98d514e9c73f8", "7dbabea523fb39337366357dc622ea87d7d3bf89", "498bca2f9b9e5891319fc5d23256fdfe38b9bd4e", "bfd1e5c0c05894975ea0ab45343a03ef362d8d89", "428b78aceae995889ec770a259d16c1b39c90fd6", "ba408fb0ab6ae53f9be40d107859ebec78034df9"]}, "processed_text": "определение элемент дизайн модель зрелость межорганизационный интеграция сравнительный анализ"}
{"_id": "5707844e76b0c5a39110f079e4b3c9cad1b7fb12", "text": "Метод обнаружения жизненно важных признаков, основанный на многократном накопителе высшего порядка для сверхширокополосного радара", "metadata": {"authors": ["1716580", "30597098", "1680802", "1800745", "48117779"], "year": 2012, "cited_by": ["024d7abddb4431f9459db18b2e03814f27ed3b41", "4dd08c62d0ffc9cd4233827cd267326180051b97", "9dcd3720e54b8b0095402220ddb73b4be403b3aa", "b2280913a56fe81a9418a690f0c171d4dd1a6316", "41705da1989cd2748eaf0cfe481c7c28d71d03eb", "6e2f4f7c6d57c2365d804acc053c457ac93025a2", "1a2ddffe2776a599b106d9cd867d8c06cf29f93e", "e3ef102a8d15b66ebce3f9b4cbd2058cf50d9336", "f4efc6d5f234b62e5b6d4d2f893a3f5fd5ce640f", "547b926a22a5a1596ee52e923c995c212fa7dda8", "708afc44e572bd940af2971cd804236a9fc4bb56", "1cfea871239fe3b218fca115337deda2fdc701c0", "62198d1c71b827f0674da3d4d7ebf718702713eb", "28a1544431712378fc641e73b07538224a2c5c1e", "8c397884dbed830cb6695e65892c9db0eb91dc10", "d87bc1ec71b71266eacddadbe22ec0d9402bf4ff", "3df1f09d02d8a15476a0473f998f3f0ad73fbd91", "c3172759e0cd1b22799cf73913e12b616bb493df", "e609234074e3bf1c6f70663fe6c332230809c808", "9f2c17d17d6d1cbd819d4eef9d26fbf3b8c88606", "1da98d604274a257bd4081a4f678fa3c5c158f37", "22a4a0a0579b7a325728f7ae97eed0f565cd2ef0", "e8b531e7b4c4e55f9e1487c06e04b3d962efaad0", "2ea61f7e3c93c206a9b7db3651d8669952fff3aa", "15c621b88899d749a9c64529a30436c81471cab0", "551fcddf86c4da4ecc400ebcd1aa512b2bc7637a", "b0ba6024851cd80ed9f040fde06bb11cb6ef5843", "661567538d1f602adf29035f9659132111d979a9", "5dc16bb2a664a2b4f56932994498cc593e2199e8", "f7b08cfc4045b6c3db8c8fa4a4c5d9b56155d3b3", "67a50c92cf9d89b619a2ce20853f80c3884aba93", "12188d46b15b68a86ff7bdf871e16c4447e983ff", "283179f3a6a7bbae665d9755d37ca83260208bd3", "9c9b186b7b2efd04c7a6ac7d2ae141efa0df42dc"], "references": ["af7038120f196008792a6b30cef7f46e3177f1b5", "eeae1c823a95d57ee13455dad70d08890850b373", "07388cb3b383c26b3b5f5a67029c7597ac9e22c2", "727f4abff12cecbea24190d3dd62f33c21d0876c", "367e9e6ddccb817460b2c03c50b27c65a38482c7", "a8b0e58ce39ddebed0e2c459c6f326b8fc7ab2f3", "a901ad23ab9c642870a39f4d9a301e8d5155109b", "2c8a1a906819283ce474da929b8adf975d5abfbb", "a670fdacc93153ffc29a5b2d15a291cc8eaa7e09", "b203d715e70d61b48acb9f7259977c1b621bac8c"]}, "processed_text": "метод обнаружение жизненно важный признак основать многократный накопитель высокий порядок сверхширокополосный радар"}
{"_id": "47c7c17b7df3732af69d2702929a65a05c1d3d3f", "text": "Упорядочивание книг и авторов по многослойным элементам", "metadata": {"authors": ["2427559", "1685987", "8276882"], "year": 2016, "cited_by": ["76c6da68ffe3bc00635fbe3d8d68374bac42f333", "70eb393ac433297632c22318f099d06be2373372", "a41bd21ac61d86fdd7a1097eb3a6c85772c68745", "498ef352f05db93ce4d780e3d44387e949e383ad", "969e4b27fdeb0d90ff2563518b7950b3c381aef4", "4980fa3ab77eed7e2d6c7abae93620aa73c197e3", "901214541347d45a66af394fffbca51886cf2a86", "5bf2ccb1249ed7f11d920337a54bfbfb77a7b0f8", "fd93275f240d17b7adc22d5e1139379265fcf011", "d133f60fcc156c6212eefbd58e13f02c156abcfd", "6e588dc6ec812b8a9bbd2a2b64726d8841ff9cfd", "0442717abdb1f885a81258d6d16782831277d3b9", "2d634b84b10796835072ddc15a42e7e8ea3291fb", "87e1ec29b089ef4e7b6153b8dae1a976117ce329", "fab0625613eab73d01e7c932636ad192a8b2bdc8", "b6d6e9c92f8c5bf490a87d8331dbc521ae1045fc", "a5dea54a3afb4f30662eee3dbd2b1b3a48037a76", "b9c8f9efd3ee1ebe1b9426a8689851578fe76979", "8496cd2a1348a9471b1e1049d2399c1ce1309aba", "a4bfff7dcd8e6ff975a038625871a3199f8ce9e9", "5aabf49f1e7a376e2aec65ecb5ca473ffb58bdd8"], "references": ["1e0c9cf0fff3209ff0d1d0ec070ed47f72cedc2f", "0fed04664d4481262e7730ec0561a3a3af07e75c", "281c33b9ad88ab6ef4f0a63875b6f1d140708d9c", "f0041b836d507b8d22367a6ef7faab583769de82", "49af3e80343eb80c61e727ae0c27541628c7c5e2", "3849e6736c8ac1df4937b4e82582d19b339d7e07", "05dc9991acf8229b7bb1780601f48eb52df35ec8", "3986815cf5994f5419b1f489eb032e919f20818b", "41245aa31780116ae14cab0290841070779bf4a5", "246b362e9db24a44588ba00dd78261a97f78b21b"]}, "processed_text": "упорядочивание книга автор многослойный элемент"}
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{"_id": "ba8e624dac40100f10162eaa3d4034904bc08f48", "text": "Интеллектуальное обнаружение фишинговых URL-адресов с помощью интеллектуального анализа ассоциативных правил", "metadata": {"authors": ["39967941", "1748252"], "year": 2016, "cited_by": ["c80ee62fd3bd186b63b35bdd6e791f81f6a88708", "67980cf6c6b6efc3a01cd1c4d24ebe95514b4c1d", "95140295d09623e42fe2828d4b720d9e2139566b", "8e123284b4a535b1601b459ead0416be9336d45b", "16948e9b44dfe9bbe1fbf518a0a7fd19c46bd577", "4afd00c82370ef61ed9f9caa6f809e35973010c6", "649a0bd3dc0d89e94f7176d3c34e0ce4ffb67fe0", "c00909530be9263941ef8074a7439e71508e4018", "58f9057be7195d0a5c8dac6ab31982158b508d8e"], "references": ["69de427f298cac2fe71c831b00d9d02db87f231c", "867e2293e9780b729705b4ba48d6b11e3778e999", "ba1c6e772e72fd04fba3585cdd75e063286f4f6d", "414927a4a02727e1842d1c4f388af9d0a25ecf08", "19c4ea5b7533327a9653f31e2c38de21b47fe5c2", "24780184b191a47954859046b579dad17ed2360e", "a002a5710337ed7371da1be35cf66dece7c11aba", "2baa1a695d08871a4b576634f18a895c54e33113", "610c2466b34509b8bd3f8b8176fbafa7083e9cc6", "256dffdd7e6a4251a14f0a37f67139d42c40b6e5"]}, "processed_text": "интеллектуальный обнаружение фишинговый url адрес помощь интеллектуальный анализ ассоциативный правило"}
{"_id": "b9413a51b6865a0a2c21993e87428afa76aba440", "text": "Ящур у азиатских черных медведей (Ursus thibetanus).", "metadata": {"authors": ["12644772", "50677076", "11731707", "46798331", "12591032", "31411949", "14049351", "4995654"], "year": 2014, "cited_by": ["d8298e05dc878c15b5b3de7d80defd145bac64bb", "a73f83d15e234cf2d98c4982cb3c02eab5a23e53"], "references": ["f2db65c687d162f7a61e0d0745ad4602b5210170", "5360b4e8583dc82e756f07e88b931abc9370aaa7", "3979cf5a013063e98ad0caf2e7110c2686cf1640", "245794ea7fe97c8f3a39665c70a89aefdfe36ed7", "1c654dcfba5dc1ed429218d59aa9e32c2610e38f", "392ed32f87afa8677e44e40b3f79ff967f6d88f9", "71b99df3f753e114f1df8e20b6bf906811bca608", "576229d7465b56136ca775747c6025113bd0947f", "9361bcd52caec95ae42cc2c0f5ff8eb908f1096c", "d25aa76dfd8262863dc885d994088d5cac5abaa4"]}, "processed_text": "ящур азиатский чёрный медведь ursus thibetanus"}
{"_id": "103f982d2a3a9b7335b76d8c7112d1b6fcf0f2bb", "text": "VR-STEP: Движение на месте с использованием инерциального датчика для навигации без помощи рук в мобильных средах виртуальной реальности", "metadata": {"authors": ["3396125", "1770802"], "year": 2016, "cited_by": ["d6561ed2d7965773d14454bb9c98eafe56d1d531", "3ae73f1195ca50bf85d09a43494f1b4332bbc447", "09f0d087bfc69f2b5452e2c6f3c938234b0ffa54", "078da0ae84f10d688d765d001f4ff3fb81b52e13", "cafbbaa2cbff4a5d65b1767775a5a12a147c9fb0", "96cbb7b79b543747ac2c1ded27482b20c56c3878", "ab2253d5644bb7e946293605cbbf37c359ca6638", "17cf028354feeda646bbdcef509e9a9b91627756", "2bed0e20b263ce5258aa44314614e78944067d1f", "6d907be06564725859b779625881ebc839fe0b19", "4756ebd8d00e5653244cefcbfd6d993fdc5eb8d9", "d7fc9ee7417d907d40242ee51e46a11de7d2dc5f", "cfbde75c243269e854985a4bfd99e7be8d1b2797", "14fbf4c9bad7fded9a17ea96cb20ba81f26725ef", "e703bf48eef51f4d1c82e9e4c290e5a2c6613e21", "ddc067ebf3aec1a8949a4ee2bba0882caba3566e", "c132ca1ebc5b3b2a04387fccbde96484bfc05dd5", "d1425d077c44c09c86efbc3f17452f134ef0f1ac", "bc7787ddf5976b738ac30fb8c7ba463890fa7d10", "cfe9f878733ba9ebc9810ec7ccdded7ac74f2db8", "af2d355d35ecc7e5fdf6b03090d76dd4ba342bf4", "4ac651852e0909590ceb788223b14721d582034c", "f79580c213b2d4c2c3c4d9eea3f89c42a74ab190", "9b9efa8c83bb339e09530670761fb86d6b31ba9a", "31df494b40e4dde4d430bc93a738c1679659b080", "e527a3ac384a08383e8d08ab4f1468c50e8552e0", "5c8062b6f795a76140f74107c04a7770a8f3616a", "2406ebabb786772661a309316fef23e38724bd97", "8b5bf0b6460dfe31bea7ed3780807a30a914168a", "744d07a91b8b8dc6f82bed866537d98f1d09742a", "f5146b7d10e8b99b688e456911a4e27256f3b62f", "398442b4d1721c9cdca37a7486598ec7cffa24c5", "f3ecec51cf1cc56b3bd16ae00c57e1c8a54f31a8", "318e691bc358a1376abab069dfcf618a92d8aed0", "bdb8b675b6f6643de3372bad062422421351c538", "f2301aa692050454cc732b44201670e38d083cd4", "8177db2523e862b60acc284987a2bbe03ff0abdb", "5dae32cf729045a1b885c2d06512cbc267f919db", "eaa4cc2c1a4844ea8bfab6d79657088bd343a9a7", "028aa74310f581de15dd6dcb2f6ec2b44e7155f8"], "references": ["1eda0ab8eb52af64b14525a99da23fb0a4017edb", "a6f0b7a7fbadc9402cf327aa2fb0d9c66a316c91", "bd75508d29a69fbf3bf1454c06554e6850d76bd5", "a3a7ba295543b637eac79db24436b96356944375", "89d09965626167360aea4e414f889b06074491da", "b7a444ec2a0d25dd42d8d3c8bb5748d56fb24487", "a266e22c4da83e9c6225bc58c83a36f1f1faf675", "36254ce58e2ee0220166e66074f7a7343aa157a5", "fdcede125b4f4acdc09bc202eeacaea0af94e67b", "a76ada79f88c9804aed6d7e5b59dad93a2525cd0"]}, "processed_text": "vr step движение место использование инерциальный датчик навигация помощь рука мобильный среда виртуальный реальность"}
{"_id": "7220d7ec31f6dc6ad7030f601743b5392513a2d9", "text": "Учимся решать геометрические задачи на основе демонстраций естественного языка в учебниках", "metadata": {"authors": ["2790926", "1752601"], "year": 2017, "cited_by": [], "references": ["248040fa359a9f18527e28687822cf67d6adaf16", "3d54fea211981e91b1cba184833679cf08bfe483", "37ca75f5f6664fc9ed835a53b48258ec92eb73cd", "04d7b7851683809cab561d09b5c5c80bd5c33c80", "105c2473b7829d358b154bd7168cd26a839af0fd", "8dd9fd6a45afd266d48255c398429e01ea4fd6db", "2519ed73f8084b993664e5a0c240e2dd37ba7349", "9ca95a09c8bf2d7d28234ff37ece182836dd8632", "4c6fe6179c408e1fbb3871af13d1a8e64f766e54", "22f7c40bd3c188e678796d2f1ad9c19a745e83c7"]}, "processed_text": "учиться решать геометрический задача основа демонстрация естественный язык учебник"}
{"_id": "ce7f9b2c6566f21056d0d4bf06a0a172fd1064f1", "text": "Повышение производительности поиска для подробных запросов с помощью аксиоматического анализа эвристических методов распознавания терминов", "metadata": {"authors": ["3429661", "3375353", "2499986", "2887988"], "year": 2017, "cited_by": ["65cdce9211fdc76fe4ef236f8f8bb6ed5459a288"], "references": ["4fe9f8c5982f5ff7fb76ae3432a45d5328a732d9", "45d35d65b344e07349e91f6d4b40196fc7a92acc", "9c72a32a9b9ae7c0d450e787ce9c49a654b2018d", "ae0067338dff4e6b48b6b798776ec88a6c242aae", "a907e5609bb9efd1bafb11cd424faab14fd42e4a", "773270b7e62bbe24f9a8f74386c1d84c88098caf", "2c68c7faa89b104b78e2850dbade5a81f0743874", "c21a069ee11caa56af4d86b49bc2149c24decbb7", "1dea28a58295504ca87f531a2648414ba811d24d", "fb211aa3aff6976f5137bedc43c2a43226404cad"]}, "processed_text": "повышение производительность поиск подробный запрос помощь аксиоматический анализ эвристический метод распознавание термин"}
{"_id": "36c29a4a8a4b07ce402c3077cc8831ff7245b5f8", "text": "Нейронная машина Тьюринга с доступом ко лжи", "metadata": {"authors": ["35064203"], "year": 2016, "cited_by": ["fe1077f6b79e14457db77d7477a477f40f87e7e6", "db0d840bad86c4e6bfcc5d89ca28a196831d4b7a"], "references": ["f264e8b33c0d49a692a6ce2c4bcb28588aeb7d97", "0b3cfbf79d50dae4a16584533227bb728e3522aa", "11470734c48b35f50c76b1bf7a0285d13fb3fa7e", "05014b04223562c7c7485a1277552564d0ddc6de", "1fe91d40305ac006999ee866873032e0a5b153dc", "bff427c18caa092afff57a400e353fde79254f22", "f6096f5901169837579cfe16df7dc2d0c9bcab40", "11da2d589485685f792a8ac79d4c2e589e5f77bd", "324fc9c732116fa81624faad07524039f193cede", "ab116cf4e1d5ed947f4d762518738305e3a0ab74"]}, "processed_text": "нейронный машина тьюринг доступ ложь"}
{"_id": "8f8e0e4eca7cbc30cddea7f92d1dc0293342e9bb", "text": "Вероятностная метрика безопасности на основе графа атак", "metadata": {"authors": ["40256874", "2010639", "49415186", "1889355", "1699357"], "year": 2008, "cited_by": ["694484a89302c110c919a3693fe16e990e4227bc", "91ad1205ab4cae6e010b13ece6b6efdff8dd76da", "7b1fbcd0d09b381ad9433a85587c373f4f1b77cf", "0de3dd91fe802253c2497cfa3c3d8f7a787e4ccc", "96e4bb98b4c7040328fdb79486134afa311570de", "76c345d9b732474ba6b1422838ab547dfdd6398a", "8b1e3096a623bcdbbb485f3a6e7ec15efa318e24", "3dc342566a881634c38e2b72297d1801504a6d11", "d87074a6490f3d7d5de6535846c82a4d3205bc18", "039cb17f52be327386a4b7924dc0fa9ec59b4a3a", "20e16b0f95e42835c0355bc4e703a8fbd955dcb5", "eb410eda6b4fa0951e32e20c847c45ef0b10a0d1", "5efdcba6187e30f88d6d5a9da1527b313bbb2c69", "1b69022ab7baa67b62d20935687d8851c81ad21d", "d6eb7e1030d7d473e2151c2640bdbaebe8a44dc5", "76f1642760bf1b8a7d22a91fae17b5e1ca586341", "57344d036f349600e918be3c0676bde7f47ad7bf", 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{"_id": "994ca78751ecfc571cb7ce05c4343c12b9677b71", "text": "Байесовский метод оценки недостающих значений для данных профиля экспрессии генов", "metadata": {"authors": ["38809507", "1686829", "48070588", "2051373", "1882516", "2851612"], "year": 2003, "cited_by": ["8dd584f1813171c109134085a82fcdf6b4fac3bf", "4533b89f52eb820baa6d855057210f3761da0b0e", "1c6ee67aee28c97a62b930a108236220455c4390", "922bbaf56b6981dbff5c635da094ac6bc38eacbb", "b36c55307d0c12a3d1a474c13774a912c7e57036", "cda17bd8a1abbc03dd3473da836402a4fee035c0", "66b19040ad3c56a96dd826dc00499e46ec500a2d", "6765856a471e46c95642b923b1b37c328cbd3e8a", "476786dcdd5a3538dcf2bf3b2d2164c103aaec9a", "a197948c5eaa0400f7c23fe61c98fd42e6c86bf0", "d8048365a990eec1b0762131b257c05b72ac41fc", "065f63770b1a2b48dbe9e0aa0740168c685579c8", "1aabaad893a09f7db1079da3006a0977ba371677", "3dc6f42e083687e6981aec7bc8709263b44f4e8a", "704cf61cd25ae0da26278d2a4f68493907546796", "dc39ab240d481cef0b0da1b28d0ee6356395dc70", 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