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ORCIDSergei Subbotin 0001
Person information
- affiliation: Zaporizhzhia Polytechnic National University, Zaporizhzhia, Ukraine
Other persons with the same name
- Sergey Subbotin 0002 — National Medical and Surgical Center named after N.I. Pirogov, Moscow, Russia
- Sergey Subbotin 0003
![[0000-0003-2945-8886]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2945-8886")
— Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
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2020 – today
- 2024
[c35]Volodymyr Rusyn, Sergey Subbotin, George Vorobets, Oleksandr Vorobets:
Computer Modelling, Analysis of the Main Information Properties of Memristor and Its Application in Secure Communication System. CMIS 2024: 216-225- [c34]Yurii Herman, Oleh Krulikovskyi, Serhii Haliuk, Sergey Subbotin:
Development of an Embedded Operating System Based on the Linux Kernel for SoC FPGA. CMIS 2024: 376-388 - [c33]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Tetiana Kolpakova:
Implementation of Swarm Intelligence Methods for Preprocessing in Nuroevolution Synthesis. CMIS 2024: 438-448 - [c32]Sergey Subbotin, Andrii Oliinyk, Tetiana Kolpakova, Vladyslav Perehuda, Danylo Borovyk:
Apple leaf diseases detection using convolutional neural networks. MoMLeT 2024: 1-14 - [c31]Danylo Borovyk, Roman Fedoniuk, Andrii Oliinyk, Sergey Subbotin, Tetiana Kolpakova:
Detection of Vehicles in Aerial Photographs Using Convolutional Neural Network. SMARTINDUSTRY 2024: 161-179 - [e7]Sergey Subbotin:
Proceedings of The Seventh International Workshop on Computer Modeling and Intelligent Systems (CMIS-2024), Zaporizhzhia, Ukraine, May 3, 2024. CEUR Workshop Proceedings 3702, CEUR-WS.org 2024 [contents] - 2023
- [c30]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Matviy Ilyashenko, Tetiana Kolpakova:
Neuroevolution Methods for Organizing the Search for Anomalies in Time Series. CMIS 2023: 164-176 - [c29]Andrii Didenko, Andrii Oliinyk, Sergey Subbotin:
Thermal Image Super-Resolution Methods Using Neural Networks. CMIS 2023: 214-223 - [e6]Sergey Subbotin:
Proceedings of The Sixth International Workshop on Computer Modeling and Intelligent Systems (CMIS 2023), Zaporizhzhia, Ukraine, May 3, 2023. CEUR Workshop Proceedings 3392, CEUR-WS.org 2023 [contents] - 2022
- [c28]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Matviy Ilyashenko, Artem Borovikov:
Neuroevolutionary Mechanisms in the Synthesis of Spiking Neural Networks. CMIS 2022: 88-97 - [c27]Vitaliy Larin, Heorhii Rozorinov, Oleksandr Hres, Volodymyr Rusyn, Sergey Subbotin, Nina Chichikalo, Katerina Larina:
Decision-making Algorithm in Case of Failure of the Electric Motor of a Multi-rotor Unmanned Aerial Vehicle. CMIS 2022: 154-163 - [c26]Galyna Tabunshchyk, Anzhelika Parkhomenko, Sergey Subbotin, Andrii Karpenko, Oleksandr Yurchak, Eduard Trotsenko:
Work-in-Progress: Framework for Academia-Industry Partnership in Ukraine. ICL (2) 2022: 938-945 - [e5]Sergey Subbotin:
Proceedings of The Fifth International Workshop on Computer Modeling and Intelligent Systems (CMIS-2022), Zaporizhzhia, Ukraine, May 12, 2022. CEUR Workshop Proceedings 3137, CEUR-WS.org 2022 [contents] - 2021
- [c25]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Viktor Lytvyn, Oleksandr Korniienko:
Implementation of Probabilistic Data Structures in the Processes of Neuroevolutionary Synthesis. CMIS 2021: 59-72 - [c24]Volodymyr Rusyn, Sergey Subbotin, Aceng Sambas:
Simple Autonomous Security System Based On Arduino UNO Platform and Fingerprint Scanner Module: A Study Case. CMIS 2021: 262-271 - [c23]Mykhailo Poliakov, Sergey Subbotin, Oleksii Poliakov:
The Contour of Causality in Control Automata of Systems. CMIS 2021: 368-378 - [c22]Yevhenii Shendrikov, Daria Tabunshchyk, Sergey Subbotin, Peter Arras, Galyna Tabunshchyk:
Implementation of Language Processing Tools for the University Quality System. IDAACS 2021: 705-708 - [c21]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Viktor Lytvyn, Oleksandr Korniienko:
Implementation of Reinforcement Learning Strategies in the Synthesis of Neuromodels to Solve Medical Diagnostics Tasks. IDDM 2021: 34-43 - [c20]Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Vadym Shkarupylo:
Using the Actor-Critic Method for Population Diversity in Neuroevolutionary Synthesis. IntelITSIS 2021: 99-107 - [e4]Sergey Subbotin:
Proceedings of The Fourth International Workshop on Computer Modeling and Intelligent Systems (CMIS-2021), Zaporizhzhia, Ukraine, April 27, 2021. CEUR Workshop Proceedings 2864, CEUR-WS.org 2021 [contents] - 2020
- [j9]Sergei Subbotin:
Neural Network Model Synthesis Based on a Regression Tree. Autom. Control. Comput. Sci. 54(4): 313-322 (2020) - [c19]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin:
Adaptive Mechanisms for Parallelization of the Genetic Method of Neural Network Synthesis. ACIT 2020: 446-450 - [c18]Serhii Leoshchenko, Sergey Subbotin, Andrii O. Oliinyk, Viktor Lytvyn, Matviy Ilyashenko:
Smart crossover mechanism for parallel neuroevolution method of medical diagnostic models synthesis. CMIS 2020: 57-69 - [c17]Volodymyr Rusyn, Sergey Subbotin, Aceng Sambas:
Analysis and experimental realization of the logistic map using Arduino Pro Mini. CMIS 2020: 300-310 - [c16]Sergey Subbotin:
The quality indicators of decision tree and forest based models. CMIS 2020: 718-743 - [c15]Dmytro Kavrin, Sergey Subbotin:
Bagging-based instance selection for instance-based classification. CMIS 2020: 769-783 - [c14]Oleh Pihnastyi, Valery Khodusov, Sergey Subbotin:
Linear Regression Model of the Conveyor Type Transport System. ICST 2020: 468-481 - [c13]Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Tetiana Zaiko, Serhii Shylo, Viktor Lytvyn:
Sequencing for Encoding in Neuroevolutionary Synthesis of Neural Network Models for Medical Diagnosis. IDDM 2020: 62-71 - [e3]Sergey Subbotin:
Proceedings of The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020), Zaporizhzhia, Ukraine, April 27-May 1, 2020. CEUR Workshop Proceedings 2608, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j8]Jan Rabcan, Vitaly G. Levashenko, Elena Zaitseva, Miroslav Kvassay, Sergey Subbotin:
Application of Fuzzy Decision Tree for Signal Classification. IEEE Trans. Ind. Informatics 15(10): 5425-5434 (2019) - [c12]Serhii Leoshchenko, Andrii O. Oliinyk, Stepan Skrupsky, Sergey Subbotin, Viktor Lytvyn:
Parallel Genetic Method for the Synthesis of Recurrent Neural Networks for Using in Medicine. CMIS 2019: 1-17 - [c11]Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Nataliia Gorobii, Vadym Shkarupylo:
Modification of the Genetic Method for Neuroevolution Synthesis of Neural Network Models for Medical Diagnosis. CMIS 2019: 143-158 - [c10]Igor Limarev, Sergey Subbotin, Andrii O. Oliinyk, Ihor Drokin:
Diagnostic Signal Nonstationarity Reduction to Predict the Helicopter Transmission State on the Basis of Intelligent Information Technologies. CMIS 2019: 510-522 - [c9]Dmytro Kavrin, Sergey Subbotin:
The Sampling Method Preserving Interclass Boundaries. CMIS 2019: 664-673 - [c8]Sergey Subbotin:
A Random Forest Model Building Using A priori Information for Diagnosis. CMIS 2019: 962-973 - [c7]Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Tetiana Zaiko, Nataliia Gorobii:
Implementation of Selective Pressure Mechanism to Optimize Memory Consumption in the Synthesis of Neuromodels for Medical Diagnostics. IDDM 2019: 109-120 - [c6]Serhii Leoshchenko, Andrii O. Oliinyk, Stepan Skrupsky, Sergey Subbotin, Tetiana Zaiko:
Parallel Method of Neural Network Synthesis Based on a Modified Genetic Algorithm Application. MoMLeT 2019: 11-23 - [e2]David Luengo, Sergey Subbotin, Peter Arras, Yevgeniy V. Bodyanskiy, Karsten Henke, Ivan Izonin, Vitaly G. Levashenko, Volodymyr Lytvynenko, Anzhelika Parkhomenko, Andreas Pester, Natalya Shakhovska, Alexei Sharpanskykh, Galyna Tabunshchyk, Carsten Wolff, Heinz-Dietrich Wuttke, Elena Zaitseva:
Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), Zaporizhzhia, Ukraine, April 15-19, 2019. CEUR Workshop Proceedings 2353, CEUR-WS.org 2019 [contents] - 2018
- [j7]Andrii O. Oliinyk, S. Yu. Skrupsky, Sergei Subbotin:
Experimental Research and Analysis of Complexity of Parallel Method for Production Rules Extraction. Autom. Control. Comput. Sci. 52(2): 89-99 (2018) - [c5]Sergey Subbotin:
Quasi-Relief Method of Informative Features Selection for Classification. CSIT (1) 2018: 318-321 - [c4]Andrii Oliinyk, Sergey Subbotin, Valerii Lovkin, Serhii Leoshchenko, Tetiana Zaiko:
Feature Selection Based on Parallel Stochastic Computing. CSIT (1) 2018: 347-351 - [c3]Sergey Subbotin, Olga Gladkova, Anzhelika Parkhomenko:
Knowledge-Based Recommendation System for Embedded Systems Platform-Oriented Design. CSIT (1) 2018: 368-373 - [c2]Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Nataliia Gorobii, Tetiana Zaiko:
Synthesis of Artificial Neural Networks Using a Modified Genetic Algorithm. IDDM 2018: 1-13 - [c1]Sergey Subbotin, Elena Kirsanova:
The Regression Tree Model Building Based on a Cluster-Regression Approximation for Data-Driven Medicine. IDDM 2018: 155-169 - [e1]Nataliya Shakhovska, Sergio Montenegro, Yannick Estève, Sergey Subbotin, Natalia Kryvinska, Ivan Izonin:
Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018), Lviv, Ukraine, November 28-30, 2018. CEUR Workshop Proceedings 2255, CEUR-WS.org 2018 [contents] - 2017
- [j6]Andrii O. Oliinyk, S. Yu. Skrupsky, Sergey Subbotin, Igor Korobiichuk:
Parallel method of production rules extraction based on computational intelligence. Autom. Control. Comput. Sci. 51(4): 215-223 (2017) - 2015
- [j5]Andrii O. Oliinyk, S. Yu. Skrupsky, Sergei Subbotin:
Experimental investigation with analyzing the training method complexity of neuro-fuzzy networks based on parallel random search. Autom. Control. Comput. Sci. 49(1): 11-20 (2015) - [p1]Sergey Subbotin:
The Instance and Feature Selection for Neural Network Based Diagnosis of Chronic Obstructive Bronchitis. Applications of Computational Intelligence in Biomedical Technology 2015: 215-228 - 2014
- [j4]Andrii O. Oliinyk, T. A. Zaiko, Sergei Subbotin:
Factor analysis of transaction data bases. Autom. Control. Comput. Sci. 48(2): 87-96 (2014) - [j3]Andrii O. Oliinyk, S. Yu. Skrupsky, Sergei Subbotin:
Using parallel random search to train fuzzy neural networks. Autom. Control. Comput. Sci. 48(6): 313-323 (2014) - [j2]Sergey A. Subbotin:
The Instance Selection method for Neuro-fuzzy Model synthesis. Int. J. Comput. 13(3): 170-175 (2014) - 2013
- [j1]Sergei Subbotin:
Methods of sampling based on exhaustive and evolutionary search. Autom. Control. Comput. Sci. 47(3): 113-121 (2013)
Coauthor Index
aka: Andrii Oliinyk
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