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ORCIDSerhii Leoshchenko
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Conference and Workshop Papers
- 2024
[c15]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Tetiana Kolpakova:
Implementation of Swarm Intelligence Methods for Preprocessing in Nuroevolution Synthesis. CMIS 2024: 438-448- 2023
- [c14]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 - 2022
- [c13]Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Matviy Ilyashenko, Artem Borovikov:
Neuroevolutionary Mechanisms in the Synthesis of Spiking Neural Networks. CMIS 2022: 88-97 - 2021
- [c12]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 - [c11]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 - [c10]Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Vadym Shkarupylo:
Using the Actor-Critic Method for Population Diversity in Neuroevolutionary Synthesis. IntelITSIS 2021: 99-107 - 2020
- [c9]Serhii Leoshchenko
, Andrii Oliinyk, Sergey Subbotin:
Adaptive Mechanisms for Parallelization of the Genetic Method of Neural Network Synthesis. ACIT 2020: 446-450 - [c8]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 - [c7]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 - 2019
- [c6]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 - [c5]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 - [c4]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 - [c3]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 - 2018
- [c2]Andrii Oliinyk, Sergey Subbotin, Valerii Lovkin, Serhii Leoshchenko, Tetiana Zaiko:
Feature Selection Based on Parallel Stochastic Computing. CSIT (1) 2018: 347-351 - [c1]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
Coauthor Index
aka: Andrii Oliinyk
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