Roman B. Rybka

According to our database, Roman B. Rybka authored at least 23 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., March, 2024

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, September, 2023

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

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 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

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

Spoken Digits Classification Based on Spiking Neural Networks with Memristor-Based STDP.

Danila Vlasov, Yury Davydov, Alexey Serenko, Roman B. Rybka, Alexander G. Sboev

Proceedings of the International Conference on Computational Science and Computational Intelligence, 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

Proceedings of the 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 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

Proceedings of the 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2022

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

Proceedings of the 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2022

2021

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

2020

Keyword Extraction Approach Based on Probabilistic-Entropy, Graph, and Neural Network Methods.

Anton Selivanov, Ivan Moloshnikov, Roman B. Rybka, Alexander G. Sboev

Proceedings of the Artificial Intelligence - 18th Russian Conference, 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

Proceedings of the 2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2020

Data-Driven Model for Emotion Detection in Russian Texts.

Alexander G. Sboev, Aleksandr Naumov, Roman B. Rybka

Proceedings of the 2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2020

2018

Analytical properties of the perturbed FitzHugh-Nagumo model.

Nikolay A. Kudryashov, Roman B. Rybka, Aleksander G. Sboev

Appl. Math. Lett., 2018

Spiking neural network reinforcement learning method based on temporal coding and STDP.

Alexander G. Sboev, Danila Vlasov, Roman B. Rybka, Alexey Serenko

Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

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

Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

2017

Solving a classification task by spiking neurons with STDP and temporal coding.

Alexander G. Sboev, Danila Vlasov, Roman B. Rybka, Alexey Serenko

Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 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

Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 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

Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017

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

Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017

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

Proceedings of the International Conference on Computational Science 2016, 2016

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

Proceedings of the Third Workshop on Concept Discovery in Unstructured Data co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), 2016