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ORCIDRoman B. Rybka
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- affiliation: Kurchatov Institute, Moscow, Russia
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2020 – today
- 2024
[j6]Roman B. Rybka
, Yury Davydov, Danila Vlasov, Alexey Serenko, Alexander G. Sboev, Vyacheslav Ilyin:
Comparison of Bagging and Sparcity Methods for Connectivity Reduction in Spiking Neural Networks with Memristive Plasticity. Big Data Cogn. Comput. 8(3): 22 (2024)- 2023
- [j5]Alexander G. Sboev, Roman B. Rybka, Dmitry Kunitsyn, Alexey Serenko, Vyacheslav Ilyin, Vadim Putrolaynen:
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. 7(4): 184 (2023) - [j4]Danila Vlasov, Anton A. Minnekhanov, Roman B. Rybka, Yury Davydov, Alexander G. Sboev, Alexey Serenko, Alexander Ilyasov, Vyacheslav A. Demin:
Memristor-based spiking neural network with online reinforcement learning. Neural Networks 166: 512-523 (2023) - 2022
- [j3]Alexander G. Sboev, Anton Selivanov, Ivan Moloshnikov, Roman B. Rybka, Artem Gryaznov, Sanna Sboeva, Gleb Rylkov:
Extraction of the Relations among Significant Pharmacological Entities in Russian-Language Reviews of Internet Users on Medications. Big Data Cogn. Comput. 6(1): 10 (2022) - [j2]Alexander G. Sboev, Roman B. Rybka, Artem Gryaznov, Ivan Moloshnikov, Sanna Sboeva, Gleb Rylkov, Anton Selivanov:
Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users. Big Data Cogn. Comput. 6(4): 145 (2022) - [c15]M. S. Skorokhodov, Aleksander G. Sboev, Ivan A. Moloshnikov, Roman B. Rybka:
Neural Network Method for Determining The Direction of a Person's Gaze based on a Web Camera Image Analysis. BICA*AI 2022: 203-208 - [c14]Anton Selivanov, Roman B. Rybka, Artem Gryaznov, Vyacheslav Shein, Alexander G. Sboev:
An environment emulator for training a neural network model to solve the "Following the leader" task. BICA*AI 2022: 209-216 - [c13]Ivan A. Moloshnikov, Aleksander G. Sboev, Aleksandr V. Naumov, Saveliy V. Zavertyaev, Roman B. Rybka:
On the accuracy of Covid-19 forecasting methods in Russia for two years. BICA*AI 2022: 428-434 - [c12]Danila Vlasov, Yury Davydov, Alexey Serenko, Roman B. Rybka, Alexander G. Sboev:
Spoken Digits Classification Based on Spiking Neural Networks with Memristor-Based STDP. CSCI 2022: 330-335 - [i2]Alexander G. Sboev, Nikolai A. Kudryshov, Ivan A. Moloshnikov, Saveliy V. Zavertyaev, Aleksandr V. Naumov, Roman B. Rybka:
Strict baselines for Covid-19 forecasting and ML perspective for USA and Russia. CoRR abs/2207.07689 (2022) - 2021
- [i1]Alexander G. Sboev, Sanna Sboeva, Ivan Moloshnikov, Artem Gryaznov, Roman B. Rybka, Alexander Naumov, Anton Selivanov, Gleb Rylkov, Viacheslav A. Ilyin:
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 abs/2105.00059 (2021) - 2020
- [c11]Alexander G. Sboev, Aleksandr Naumov, Roman B. Rybka:
Data-Driven Model for Emotion Detection in Russian Texts. BICA*AI 2020: 637-642 - [c10]Alexander G. Sboev, Anton Selivanov, Gleb Rylkov, Roman B. Rybka:
On the accuracy of different neural language model approaches to ADE extraction in natural language corpora. BICA*AI 2020: 706-711 - [c9]Anton Selivanov, Ivan Moloshnikov, Roman B. Rybka, Alexander G. Sboev:
Keyword Extraction Approach Based on Probabilistic-Entropy, Graph, and Neural Network Methods. RCAI 2020: 284-295
2010 – 2019
- 2018
- [j1]Nikolay A. Kudryashov, Roman B. Rybka, Aleksander G. Sboev:
Analytical properties of the perturbed FitzHugh-Nagumo model. Appl. Math. Lett. 76: 142-147 (2018) - [c8]Alexander G. Sboev, Danila Vlasov, Roman B. Rybka, Alexey Serenko:
Spiking neural network reinforcement learning method based on temporal coding and STDP. BICA 2018: 458-463 - [c7]Aleksandr Sboev, Alexey Serenko, Roman B. Rybka, Danila Vlasov, Andrey Filchenkov:
Estimation of the influence of spiking neural network parameters on classification accuracy using a genetic algorithm. BICA 2018: 488-494 - 2017
- [c6]Alexander G. Sboev, Ivan Moloshnikov, Dmitry Gudovskikh, Anton Selivanov, Roman B. Rybka, Tatiana Litvinova:
Automatic gender identification of author of Russian text by machine learning and neural net algorithms in case of gender deception. BICA 2017: 417-423 - [c5]Alexander G. Sboev, Ivan Moloshnikov, Dmitry Gudovskikh, Anton Selivanov, Roman B. Rybka, Tatiana Litvinova:
Deep Learning neural nets versus traditional machine learning in gender identification of authors of RusProfiling texts. BICA 2017: 424-431 - [c4]Alexander G. Sboev, Roman B. Rybka, Alexey Serenko, Danila Vlasov, Nikolay A. Kudryashov, Vyacheslav A. Demin:
To the role of the choice of the neuron model in spiking network learning on base of Spike-Timing-Dependent Plasticity. BICA 2017: 432-439 - [c3]Alexander G. Sboev, Danila Vlasov, Roman B. Rybka, Alexey Serenko:
Solving a classification task by spiking neurons with STDP and temporal coding. BICA 2017: 494-500 - 2016
- [c2]Tatiana Litvinova, Pavel Seredin, Olga Litvinova, Olga Zagorovskaya, Aleksandr Sboev, Dmitry Gudovskih, Ivan Moloshnikov, Roman B. Rybka:
Gender Prediction for Authors of Russian Texts Using Regression And Classification Techniques. CDUD@CLA 2016: 44-53 - [c1]Anton Selivanov, Aleksandr Sboev, Svetlana Gorokhova, Viktor Pfaf, Dmitry Gudovskikh, Roman B. Rybka, Aleksey Serenko, Ivan Moloshnikov:
Evaluation of the Cardiovascular Risk in Middle-aged Workers: An Artificial Neural Networks-based Approach. ICCS 2016: 2418-2422
Coauthor Index
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