| 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 | 38 | 2018 |
| 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 | 27 | 2018 |
| 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 | 11 | 2021 |
| 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 | 10 | 2022 |
| 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 | 8 | 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 | 8 | 2020 |
| Продвинутые нейросетевые модели для решения задачи определения тональности АГ Сбоев, ИЕ Воронина, ДВ Гудовских, АА Селиванов Вестник Воронежского государственного университета. Серия: Системный анализ …, 2016 | 8 | 2016 |
| Neural-network method for determining text author’s sentiment to an aspect specified by the named entity A Naumov, R Rybka, A Sboev, A Selivanov, A Gryaznov CEUR Workshop Proceedings, 134-143, 2020 | 7 | 2020 |
| An environment emulator for training a neural network model to solve the “Following the leader” task A Selivanov, R Rybka, A Gryaznov, V Shein, A Sboev Procedia Computer Science 213, 209-216, 2022 | 4 | 2022 |
| On the accuracy of different neural language model approaches to ADE extraction in natural language corpora A Sboev, A Selivanov, G Rylkov, R Rybka Procedia Computer Science 190, 706-711, 2021 | 4 | 2021 |
| Influence of the duration of training a deep neural network model on the quality of text summarization task A Gryaznov, R Rybka, I Moloshnikov, A Selivanov, A Sboev AIP Conference Proceedings 2849 (1), 2023 | 3 | 2023 |
| Accuracy analysis of the end-to-end extraction of related named entities from Russian drug review texts by modern approaches validated on English Biomedical corpora A Sboev, R Rybka, A Selivanov, I Moloshnikov, A Gryaznov, A Naumov, ... Mathematics 11 (2), 354, 2023 | 3 | 2023 |
| Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users A Sboev, R Rybka, A Gryaznov, I Moloshnikov, S Sboeva, G Rylkov, ... Big Data and Cognitive Computing 6 (4), 145, 2022 | 2 | 2022 |
| Relation Extraction from Texts Containing Pharmacologically Significant Information on base of Multilingual Language Models A Selivanov, A Gryaznov, R Rybka, A Sboev, S Sboeva, Y Klyueva Proceedings of the 6th International Workshop on Deep Learning in …, 2022 | 2 | 2022 |
| Evaluation of Machine Learning Methods for Relation Extraction Between Drug Adverse Effects and Medications in Russian Texts of Internet User Reviews A Sboev, A Selivanov, R Rybka, I Moloshnikov, G Rylkov 5th International Workshop on Deep Learning in Computational Physics, 28-29, 2021 | 2 | 2021 |
| Human brain structural organization in healthy volunteers and patients with schizophrenia S Kartashov, V Ushakov, A Maslennikova, A Sboev, A Selivanov, ... Biologically Inspired Cognitive Architectures (BICA) for Young Scientists …, 2018 | 2 | 2018 |
| Evaluation of the cardiovascular risk in middle-aged workers: an artificial neural networks-based approach A Sboev, S Gorokhova, V Pfaf, I Moloshnikov, D Gudovskikh, R Rybka, ... Procedia Computer Science 80, 2418-2422, 2016 | 2 | 2016 |
| The Two-Stage Algorithm for Extraction of the Significant Pharmaceutical Named Entities and Their Relations in the Russian-Language Reviews on Medications on Base of the XLM … A Sboev, I Moloshnikov, A Selivanov, G Rylkov, R Rybka Biologically Inspired Cognitive Architectures Meeting, 463-471, 2021 | 1 | 2021 |
| Keyword Extraction Approach Based on Probabilistic-Entropy, Graph, and Neural Network Methods AA Selivanov, IA Moloshnikov, RB Rybka, AG Sboev Russian Conference on Artificial Intelligence, 284-295, 2020 | 1 | 2020 |
| Graph convolution network model to include dependency trees in classification of the text’s author’s gender DS Bogachev, AA Selivanov, RB Rybka, IA Moloshnikov, AG Sboev VI International conference «Laser, plasma research and technologies–LaPlaz …, 2020 | 1 | 2020 |
