| Machine learning models of text categorization by author gender using topic-independent features A Sboev, T Litvinova, D Gudovskikh, R Rybka, I Moloshnikov Procedia Computer Science 101, 135-142, 2016 | 83 | 2016 |
| Automatic gender identification of author of Russian text by machine learning and neural net algorithms in case of gender deception A Sboev, I Moloshnikov, D Gudovskikh, A Selivanov, R Rybka, T Litvinova Procedia computer science 123, 417-423, 2018 | 36 | 2018 |
| On increasing the productive time of drilling oil and gas wells using machine learning methods AN Dmitrievsky, AG Sboev, NA Eremin, AD Chernikov, AV Naumov, ... Georesursy= Georesources 22 (4), 79-85, 2020 | 32 | 2020 |
| Deep learning neural nets versus traditional machine learning in gender identification of authors of rusprofiling texts A Sboev, I Moloshnikov, D Gudovskikh, A Selivanov, R Rybka, T Litvinova Procedia computer science 123, 424-431, 2018 | 25 | 2018 |
| A quantitative method of text emotiveness evaluation on base of the psycholinguistic markers founded on morphological features A Sboev, D Gudovskikh, R Rybka, I Moloshnikov Procedia Computer Science 66, 307-316, 2015 | 19 | 2015 |
| Analysis of the full-size russian corpus of internet drug reviews with complex ner labeling using deep learning neural networks and language models A Sboev, S Sboeva, I Moloshnikov, A Gryaznov, R Rybka, A Naumov, ... Applied Sciences 12 (1), 491, 2022 | 15 | 2022 |
| Morpho-syntactic parsing based on neural networks and corpus data R Rybka, A Sboev, I Moloshnikov, D Gudovskikh 2015 Artificial Intelligence and Natural Language and Information Extraction …, 2015 | 15 | 2015 |
| An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets A Sboev, S Sboeva, I Moloshnikov, A Gryaznov, R Rybka, A Naumov, ... arXiv preprint arXiv:2105.00059, 2021 | 13 | 2021 |
| Сравнительный анализ моделей расчета индивидуального суммарного риска ишемической болезни сердца у работников железнодорожного транспорта СГ Горохова, ЕВ Мурасеева, ВФ Пфаф, АГ Сбоев, ИА Молошников, ... Российский кардиологический журнал, 27-33, 2016 | 13 | 2016 |
| Gender Prediction for Authors of Russian Texts Using Regression And Classification Techniques. T Litvinova, P Seredin, O Litvinova, O Zagorovskaya, A Sboev, ... CDUD@ CLA, 44-53, 2016 | 12 | 2016 |
| An algorithm of finding thematically similar documents with creating context-semantic graph based on probabilistic-entropy approach IA Moloshnikov, AG Sboev, RB Rybka, DV Gydovskikh Procedia Computer Science 66, 297-306, 2015 | 12 | 2015 |
| Об увеличении продуктивного времени бурения нефтегазовых скважин с использованием методов машинного обучения АН Дмитриевский, АГ Сбоев, НА Еремин, АД Черников, АВ Наумов, ... Георесурсы 22 (4), 79-85, 2020 | 11 | 2020 |
| Research of a deep learning neural network effectiveness for a morphological parser of Russian language AG Sboev, DV Gudovskikh, IA Moloshnikov, RB Rybka, I Ivanov, ... Komp'juternaja Lingvistika i Intellektual'nye Tehnologii, 234-244, 2017 | 10 | 2017 |
| Анализ эмотивности текстов на основе психолингвистических маркеров с определением морфологических свойств ДВ Гудовских, ИА Молошников, РБ Рыбка Вестник Воронежского государственного университета. Серия: Лингвистика и …, 2015 | 10 | 2015 |
| Extraction of the relations among significant pharmacological entities in Russian-language reviews of internet users on medications A Sboev, A Selivanov, I Moloshnikov, R Rybka, A Gryaznov, S Sboeva, ... Big Data and Cognitive Computing 6 (1), 10, 2022 | 9 | 2022 |
| A neural network model to include textual dependency tree structure in gender classification of Russian text author A Sboev, A Selivanov, R Rybka, I Moloshnikov, D Bogachev Advanced Technologies in Robotics and Intelligent Systems: Proceedings of …, 2020 | 9 | 2020 |
| A comparison of Data Driven models of solving the task of gender identification of author in Russian language texts for cases without and with the gender deception A Sboev, I Moloshnikov, D Gudovskikh, R Rybka Journal of Physics: Conference Series 937 (1), 012046, 2017 | 8 | 2017 |
| A comparison of learning abilities of spiking networks with different spike timing-dependent plasticity forms A Sboev, D Vlasov, A Serenko, R Rybka, I Moloshnikov Journal of Physics: Conference Series 681 (1), 012013, 2016 | 7 | 2016 |
| On the applicability of STDP-based learning mechanisms to spiking neuron network models A Sboev, D Vlasov, A Serenko, R Rybka, I Moloshnikov AIP Advances 6 (11), 2016 | 6 | 2016 |
| Baseline accuracy of forecasting covid-19 cases in moscow region on a year in retrospect using basic statistical and machine learning methods AG Sboev, NA Kudryshov, IA Moloshnikov, AV Serenko, AV Naumov, ... Journal of Physics: Conference Series 2036 (1), 012029, 2021 | 5 | 2021 |
Роман Рыбка, Roman RybkaNRC "Kurchatov Institute"Verifierad e-postadress på nrcki.ru