Gender Prediction for Authors of Russian Texts Using Regression And Classification Techniques. - Tatiana Litvinova; Pavel Seredin; Olga Litvinova; Olga Zagorovskaya; Aleksandr Sboev; Dmitry Gudovskih; Ivan Moloshnikov; Roman B. Rybka (CDUD@CLA, 2016)

Evaluation of the Cardiovascular Risk in Middle-aged Workers: An Artificial Neural Networks-based Approach. - Anton Selivanov; Aleksandr Sboev; Svetlana Gorokhova; Viktor Pfaf; Dmitry Gudovskikh; Roman B. Rybka; Aleksey Serenko; Ivan Moloshnikov (ICCS, 2016)

Automatic gender identification of author of Russian text by machine learning and neural net algorithms in case of gender deception. - Alexander G. Sboev; Ivan Moloshnikov; Dmitry Gudovskikh; Anton Selivanov; Roman B. Rybka; Tatiana Litvinova (BICA, 2017)

Deep Learning neural nets versus traditional machine learning in gender identification of authors of RusProfiling texts. - Alexander G. Sboev; Ivan Moloshnikov; Dmitry Gudovskikh; Anton Selivanov; Roman B. Rybka; Tatiana Litvinova (BICA, 2017)

To the role of the choice of the neuron model in spiking network learning on base of Spike-Timing-Dependent Plasticity. - Alexander G. Sboev; Roman B. Rybka; Alexey Serenko; Danila Vlasov; Nikolay A. Kudryashov; Vyacheslav A. Demin (BICA, 2017)

Solving a classification task by spiking neurons with STDP and temporal coding. - Alexander G. Sboev; Danila Vlasov; Roman B. Rybka; Alexey Serenko (BICA, 2017)

Estimation of the influence of spiking neural network parameters on classification accuracy using a genetic algorithm. - Aleksandr Sboev; Alexey Serenko; Roman B. Rybka; Danila Vlasov; Andrey Filchenkov (BICA, 2018)

Spiking neural network reinforcement learning method based on temporal coding and STDP. - Alexander G. Sboev; Danila Vlasov; Roman B. Rybka; Alexey Serenko (BICA, 2018)

Analytical properties of the perturbed FitzHugh-Nagumo model. - Nikolay A. Kudryashov; Roman B. Rybka; Aleksander G. Sboev (Appl. Math. Lett., 2018)

Data-Driven Model for Emotion Detection in Russian Texts. - Alexander G. Sboev; Aleksandr Naumov; Roman B. Rybka (BICA*AI, 2020)

On the accuracy of different neural language model approaches to ADE extraction in natural language corpora. - Alexander G. Sboev; Anton Selivanov; Gleb Rylkov; Roman B. Rybka (BICA*AI, 2020)

Keyword Extraction Approach Based on Probabilistic-Entropy, Graph, and Neural Network Methods. - Anton Selivanov; Ivan Moloshnikov; Roman B. Rybka; Alexander G. Sboev (RCAI, 2020)

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. - Alexander G. Sboev; Sanna Sboeva; Ivan Moloshnikov; Artem Gryaznov; Roman B. Rybka; Alexander Naumov; Anton Selivanov; Gleb Rylkov; Viacheslav A. Ilyin (CoRR, 2021)

On the accuracy of Covid-19 forecasting methods in Russia for two years. - Ivan A. Moloshnikov; Aleksander G. Sboev; Aleksandr V. Naumov; Saveliy V. Zavertyaev; Roman B. Rybka (BICA*AI, 2022)

An environment emulator for training a neural network model to solve the "Following the leader" task. - Anton Selivanov; Roman B. Rybka; Artem Gryaznov; Vyacheslav Shein; Alexander G. Sboev (BICA*AI, 2022)

Neural Network Method for Determining The Direction of a Person's Gaze based on a Web Camera Image Analysis. - M. S. Skorokhodov; Aleksander G. Sboev; Ivan A. Moloshnikov; Roman B. Rybka (BICA*AI, 2022)

Spoken Digits Classification Based on Spiking Neural Networks with Memristor-Based STDP. - Danila Vlasov; Yury Davydov; Alexey Serenko; Roman B. Rybka; Alexander G. Sboev (CSCI, 2022)

Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users. - Alexander G. Sboev; Roman B. Rybka; Artem Gryaznov; Ivan Moloshnikov; Sanna Sboeva; Gleb Rylkov; Anton Selivanov (Big Data Cogn. Comput., 2022)

Extraction of the Relations among Significant Pharmacological Entities in Russian-Language Reviews of Internet Users on Medications. - Alexander G. Sboev; Anton Selivanov; Ivan Moloshnikov; Roman B. Rybka; Artem Gryaznov; Sanna Sboeva; Gleb Rylkov (Big Data Cogn. Comput., 2022)

Strict baselines for Covid-19 forecasting and ML perspective for USA and Russia. - Alexander G. Sboev; Nikolai A. Kudryshov; Ivan A. Moloshnikov; Saveliy V. Zavertyaev; Aleksandr V. Naumov; Roman B. Rybka (CoRR, 2022)

Extraction of Significant Features by Fixed-Weight Layer of Processing Elements for the Development of an Efficient Spiking Neural Network Classifier. - Alexander G. Sboev; Roman B. Rybka; Dmitry Kunitsyn; Alexey Serenko; Vyacheslav Ilyin; Vadim Putrolaynen (Big Data Cogn. Comput., 2023)

Memristor-based spiking neural network with online reinforcement learning. - Danila Vlasov; Anton A. Minnekhanov; Roman B. Rybka; Yury Davydov; Alexander G. Sboev; Alexey Serenko; Alexander Ilyasov; Vyacheslav A. Demin (Neural Networks, 2023)

Direct Correlational Spike-Timing-Dependent Plasticity Learning Applied to Classification Tasks. - Alexander G. Sboev; Dmitry Kunitsyn; Yury Davydov; Danila Vlasov; Alexey Serenko; Roman B. Rybka; Yuanchao Liu (ICONIP (2), 2024)

Comparison of Bagging and Sparcity Methods for Connectivity Reduction in Spiking Neural Networks with Memristive Plasticity. - Roman B. Rybka; Yury Davydov; Danila Vlasov; Alexey Serenko; Alexander G. Sboev; Vyacheslav Ilyin (Big Data Cogn. Comput., 2024)

Combination of reward-modulated spike-timing dependent plasticity and temporal difference long-term potentiation in actor-critic spiking neural network. - Yunes Tihomirov; Roman B. Rybka; Alexey Serenko; Alexander G. Sboev (Cogn. Syst. Res., 2025)

Combining aggregated attention and transformer architecture for accurate and efficient performance of Spiking Neural Networks. - Hangming Zhang; Alexander G. Sboev; Roman B. Rybka; Qiang Yu 005 (Neural Networks, 2025)