| Coronary heart disease diagnosis by artificial neural networks including genetic polymorphisms and clinical parameters OY Atkov, SG Gorokhova, AG Sboev, EV Generozov, EV Muraseyeva, ... Journal of cardiology 59 (2), 190-194, 2012 | 181 | 2012 |
| Self-adaptive STDP-based learning of a spiking neuron with nanocomposite memristive weights AV Emelyanov, KE Nikiruy, AV Serenko, AV Sitnikov, MY Presnyakov, ... Nanotechnology 31 (4), 045201, 2019 | 97 | 2019 |
| " Ruspersonality": A Russian corpus for authorship profiling and deception detection T Litvinova, O Litvinlova, O Zagorovskaya, P Seredin, A Sboev, ... 2016 International FRUCT Conference on Intelligence, Social Media and Web …, 2016 | 79 | 2016 |
| 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 | 77 | 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 |
| Drilling problems forecast system based on neural network S Borozdin, A Dmitrievsky, N Eremin, A Arkhipov, A Sboev, ... SPE annual Caspian technical conference, D023S013R008, 2020 | 32 | 2020 |
| 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 | 30 | 2020 |
| Profiling the age of Russian bloggers T Litvinova, A Sboev, P Panicheva Conference on Artificial Intelligence and Natural Language, 167-177, 2018 | 27 | 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 |
| Solving a classification task by spiking neural network with STDP based on rate and temporal input encoding A Sboev, A Serenko, R Rybka, D Vlasov Mathematical Methods in the Applied Sciences 43 (13), 7802-7814, 2020 | 24 | 2020 |
| Application of artificial intelligence methods for identifying and predicting complications in the construction of oil and gas wells: problems and solutions AD Chernikov, NA Eremin, VE Stolyarov, AG Sboev, ... Georesursy= Georesources 22 (3), 87-96, 2020 | 21 | 2020 |
| Deep learning network models to categorize texts according to author's gender and to identify text sentiment A Sboev, T Litvinova, I Voronina, D Gudovskikh, R Rybka 2016 International Conference on Computational Science and Computational …, 2016 | 20 | 2016 |
| Solving a classification task by spiking neurons with STDP and temporal coding A Sboev, D Vlasov, R Rybka, A Serenko Procedia computer science 123, 494-500, 2018 | 19 | 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 | 18 | 2015 |
| 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 |
| Modeling the dynamics of spiking networks with memristor-based STDP to solve classification tasks A Sboev, D Vlasov, R Rybka, Y Davydov, A Serenko, V Demin Mathematics 9 (24), 3237, 2021 | 14 | 2021 |
| 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 | 14 | 2015 |
| 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 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 |
