Roman B. Rybka

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Significant Features

Keyword Extraction

Predictive Clustering Trees

Top Venues

Big Data Cogn. Comput.

Publications

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) (2024)
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 (2023)
Alexander 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) (2023)
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)
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) (2022)
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) (2022)
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 (2022)
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)
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)
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)
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 (2021)
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 (2020)
Alexander G. Sboev, Aleksandr Naumov, Roman B. Rybka
Data-Driven Model for Emotion Detection in Russian Texts. BICA (2020)
Anton Selivanov, Ivan Moloshnikov, Roman B. Rybka, Alexander G. Sboev
Keyword Extraction Approach Based on Probabilistic-Entropy, Graph, and Neural Network Methods. RCAI (2020)
Nikolay A. Kudryashov, Roman B. Rybka, Aleksander G. Sboev
Analytical properties of the perturbed FitzHugh-Nagumo model. Appl. Math. Lett. 76 (2018)
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)
Alexander G. Sboev, Danila Vlasov, Roman B. Rybka, Alexey Serenko
Spiking neural network reinforcement learning method based on temporal coding and STDP. BICA (2018)
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)
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)
Alexander G. Sboev, Roman B. Rybka, Alexey Serenko, Danila Vlasov, Nikolay A. Kudryashov, Vyacheslav Demin
To the role of the choice of the neuron model in spiking network learning on base of Spike-Timing-Dependent Plasticity. BICA (2017)
Alexander G. Sboev, Danila Vlasov, Roman B. Rybka, Alexey Serenko
Solving a classification task by spiking neurons with STDP and temporal coding. BICA (2017)
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)
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)