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T. A. Zaiko

Tetiana Zaiko

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Journal Articles

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2014
[j1]
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  - journals/accs/OliinykZS14
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  - https://dblp.org/rec/journals/accs/OliinykZS14
Andrii O. Oliinyk, T. A. Zaiko, Sergei Subbotin:
Factor analysis of transaction data bases. Autom. Control. Comput. Sci. 48(2): 87-96 (2014)

Conference and Workshop Papers

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2023
[c8]
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Ievgen Fedorchenko, Andrii Oliinyk, Tetiana Zaiko, Kyrylo Miedviediev, Yuliia Fedorchenko, Mykola Khokhlov:
Development of a modified genetic method for automatic university scheduling. CS&SE@SW 2023: 210-222
2021
[c7]
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Ievgen Fedorchenko, Andrii Oliinyk, Tetiana Fedoronchak, Tetiana Zaiko, Anastasiia Kharchenko:
The Development of a Genetic Method to Optimize the Flue Gas Desulfurization Process. MoMLeT+DS 2021: 161-173
2020
[c6]
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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
[c5]
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Ievgen Fedorchenko, Andrii O. Oliinyk, Alexander Stepanenko, Tetiana Zaiko, Anton Svyrydenko, Dmytro Goncharenko:
Genetic Method of Image Processing for Motor Vehicle Recognition. CMIS 2019: 211-226
[c4]
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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]
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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]
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Andrii Oliinyk, Sergey Subbotin, Valerii Lovkin, Serhii Leoshchenko, Tetiana Zaiko:
Feature Selection Based on Parallel Stochastic Computing. CSIT (1) 2018: 347-351
[c1]
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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

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