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ORCIDAlexander G. Sboev
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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)- [j5]Yuanchao Liu, Jiawei Han, Alexander G. Sboev, Ilya Makarov:
GEEF: A neural network model for automatic essay feedback generation by integrating writing skills assessment. Expert Syst. Appl. 245: 123043 (2024) - 2023
- [j4]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) - [j3]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
- [j2]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) - [j1]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) - [c10]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 - [c9]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
- [c8]Alexander G. Sboev, Aleksandr Naumov, Roman B. Rybka:
Data-Driven Model for Emotion Detection in Russian Texts. BICA*AI 2020: 637-642 - [c7]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 - [c6]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
- [c5]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 - 2017
- [c4]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 - [c3]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 - [c2]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 - [c1]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
Coauthor Index
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