Roman B. Rybka

29 papers Misc 1Journal 13Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Agent-Based Control of Robot Behavior Using Reasoning Language Models. Autom. Remote. Control. Maksim S. Skorokhodov, Vladislav E. Latalin, Roman B. Rybka, Alexander G. Sboev
2025	J	`jnl`	Combination of reward-modulated spike-timing dependent plasticity and temporal difference long-term potentiation in actor-critic spiking neural network. Cogn. Syst. Res. Yunes Tihomirov, Roman B. Rybka, Alexey V. Serenko, Alexander G. Sboev
2025	J	`jnl`	Combining aggregated attention and transformer architecture for accurate and efficient performance of Spiking Neural Networks. Neural Networks Hangming Zhang, Alexander G. Sboev, Roman B. Rybka, Qiang Yu
2025	J	`jnl`	Evaluation of the Accuracy of Converting a Traditional Neural Network into a Pulsed One with Different Methods for Selecting the Neuron Threshold. Autom. Remote. Control. Roman B. Rybka, Alexey V. Serenko, Aleksandr V. Naumov, Alexander G. Sboev
2024	J	`jnl`	Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks. CoRR Hangming Zhang, Alexander G. Sboev, Roman B. Rybka, Qiang Yu
2024	J	`jnl`	Comparison of Bagging and Sparcity Methods for Connectivity Reduction in Spiking Neural Networks with Memristive Plasticity. Big Data Cogn. Comput. Roman B. Rybka, Yury Davydov, Danila Vlasov, Alexey V. Serenko, Alexander G. Sboev, Vyacheslav Ilyin
2024	—	`conf`	Direct Correlational Spike-Timing-Dependent Plasticity Learning Applied to Classification Tasks. ICONIP (2) Alexander G. Sboev, Dmitry Kunitsyn, Yury Davydov, Danila Vlasov, Alexey V. Serenko, Roman B. Rybka, Yuanchao Liu
2023	J	`jnl`	Extraction of Significant Features by Fixed-Weight Layer of Processing Elements for the Development of an Efficient Spiking Neural Network Classifier. Big Data Cogn. Comput. Alexander G. Sboev, Roman B. Rybka, Dmitry Kunitsyn, Alexey V. Serenko, Vyacheslav Ilyin, Vadim Putrolaynen
2023	J	`jnl`	Memristor-based spiking neural network with online reinforcement learning. Neural Networks Danila Vlasov, Anton A. Minnekhanov, Roman B. Rybka, Yury Davydov, Alexander G. Sboev, Alexey V. Serenko, Alexander Ilyasov, Vyacheslav A. Demin
2022	J	`jnl`	Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users. Big Data Cogn. Comput. Alexander G. Sboev, Roman B. Rybka, Artem Gryaznov, Ivan Moloshnikov, Sanna Sboeva, Gleb Rylkov, Anton Selivanov
2022	—	`conf`	An environment emulator for training a neural network model to solve the "Following the leader" task. BICA*AI Anton Selivanov, Roman B. Rybka, Artem Gryaznov, Vyacheslav Shein, Alexander G. Sboev
2022	J	`jnl`	Extraction of the Relations among Significant Pharmacological Entities in Russian-Language Reviews of Internet Users on Medications. Big Data Cogn. Comput. Alexander G. Sboev, Anton Selivanov, Ivan Moloshnikov, Roman B. Rybka, Artem Gryaznov, Sanna Sboeva, Gleb Rylkov
2022	—	`conf`	Neural Network Method for Determining The Direction of a Person's Gaze based on a Web Camera Image Analysis. BICA*AI Maksim S. Skorokhodov, Aleksander G. Sboev, Ivan A. Moloshnikov, Roman B. Rybka
2022	—	`conf`	On the accuracy of Covid-19 forecasting methods in Russia for two years. BICA*AI Ivan A. Moloshnikov, Aleksander G. Sboev, Aleksandr V. Naumov, Saveliy V. Zavertyaev, Roman B. Rybka
2022	—	`conf`	Spoken Digits Classification Based on Spiking Neural Networks with Memristor-Based STDP. CSCI Danila Vlasov, Yury Davydov, Alexey V. Serenko, Roman B. Rybka, Alexander G. Sboev
2022	J	`jnl`	Strict baselines for Covid-19 forecasting and ML perspective for USA and Russia. CoRR Alexander G. Sboev, Nikolai A. Kudryshov, Ivan A. Moloshnikov, Saveliy V. Zavertyaev, Aleksandr V. Naumov, Roman B. Rybka
2021	J	`jnl`	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. CoRR Alexander G. Sboev, Sanna Sboeva, Ivan Moloshnikov, Artem Gryaznov, Roman B. Rybka, Alexander Naumov, Anton Selivanov, Gleb Rylkov, Viacheslav A. Ilyin
2020	—	`conf`	Data-Driven Model for Emotion Detection in Russian Texts. BICA*AI Alexander G. Sboev, Aleksandr Naumov, Roman B. Rybka
2020	—	`conf`	Keyword Extraction Approach Based on Probabilistic-Entropy, Graph, and Neural Network Methods. RCAI Anton Selivanov, Ivan Moloshnikov, Roman B. Rybka, Alexander G. Sboev
2020	—	`conf`	On the accuracy of different neural language model approaches to ADE extraction in natural language corpora. BICA*AI Alexander G. Sboev, Anton Selivanov, Gleb Rylkov, Roman B. Rybka
2018	J	`jnl`	Analytical properties of the perturbed FitzHugh-Nagumo model. Appl. Math. Lett. Nikolay A. Kudryashov, Roman B. Rybka, Aleksander G. Sboev
2018	—	`conf`	Estimation of the influence of spiking neural network parameters on classification accuracy using a genetic algorithm. BICA Aleksander G. Sboev, Alexey V. Serenko, Roman B. Rybka, Danila Vlasov, Andrey Filchenkov
2018	—	`conf`	Spiking neural network reinforcement learning method based on temporal coding and STDP. BICA Alexander G. Sboev, Danila Vlasov, Roman B. Rybka, Alexey V. Serenko
2017	—	`conf`	Automatic gender identification of author of Russian text by machine learning and neural net algorithms in case of gender deception. BICA Alexander G. Sboev, Ivan Moloshnikov, Dmitry Gudovskikh, Anton Selivanov, Roman B. Rybka, Tatiana Litvinova
2017	—	`conf`	Deep Learning neural nets versus traditional machine learning in gender identification of authors of RusProfiling texts. BICA Alexander G. Sboev, Ivan Moloshnikov, Dmitry Gudovskikh, Anton Selivanov, Roman B. Rybka, Tatiana Litvinova
2017	—	`conf`	Solving a classification task by spiking neurons with STDP and temporal coding. BICA Alexander G. Sboev, Danila Vlasov, Roman B. Rybka, Alexey V. Serenko
2017	—	`conf`	To the role of the choice of the neuron model in spiking network learning on base of Spike-Timing-Dependent Plasticity. BICA Alexander G. Sboev, Roman B. Rybka, Alexey V. Serenko, Danila Vlasov, Nikolay A. Kudryashov, Vyacheslav A. Demin
2016	Misc	`conf`	Evaluation of the Cardiovascular Risk in Middle-aged Workers: An Artificial Neural Networks-based Approach. ICCS Anton Selivanov, Aleksander G. Sboev, Svetlana Gorokhova, Viktor Pfaf, Dmitry Gudovskikh, Roman B. Rybka, Aleksey V. Serenko, Ivan Moloshnikov
2016	—	`conf`	Gender Prediction for Authors of Russian Texts Using Regression And Classification Techniques. CDUD@CLA Tatiana Litvinova, Pavel Seredin, Olga Litvinova, Olga Zagorovskaya, Aleksander G. Sboev, Dmitry Gudovskih, Ivan Moloshnikov, Roman B. Rybka