Roman B. Rybka

Orcid: 0000-0002-5595-6398

Affiliations:
  • Kurchatov Institute, Moscow, Russia


According to our database1, Roman B. Rybka authored at least 23 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Comparison of Bagging and Sparcity Methods for Connectivity Reduction in Spiking Neural Networks with Memristive Plasticity.
Big Data Cogn. Comput., March, 2024

2023
Memristor-based spiking neural network with online reinforcement learning.
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.
Big Data Cogn. Comput., 2023

2022
Strict baselines for Covid-19 forecasting and ML perspective for USA and Russia.
CoRR, 2022

Extraction of the Relations among Significant Pharmacological Entities in Russian-Language Reviews of Internet Users on Medications.
Big Data Cogn. Comput., 2022

Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users.
Big Data Cogn. Comput., 2022

Spoken Digits Classification Based on Spiking Neural Networks with Memristor-Based STDP.
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.
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.
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.
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.
CoRR, 2021

2020
Keyword Extraction Approach Based on Probabilistic-Entropy, Graph, and Neural Network Methods.
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.
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.
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.
Appl. Math. Lett., 2018

Spiking neural network reinforcement learning method based on temporal coding and STDP.
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.
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.
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.
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.
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.
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.
Proceedings of the International Conference on Computational Science 2016, 2016

Gender Prediction for Authors of Russian Texts Using Regression And Classification Techniques.
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


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