A. Oliinyk

发表

A stochastic approach for association rule extraction

A. A. Oliinyk, S. Subbotin, S. A. Subbotin, 2016, Pattern Recognition and Image Analysis.

Neuroevolutionary Mechanisms in the Synthesis of Spiking Neural Networks

S. Leoshchenko, A. Oliinyk, A. Borovikov, 2022, CMIS.

Neuroevolutionary Mechanisms in the Synthesis of Spiking Neural Networks

S. Leoshchenko, A. Oliinyk, A. Borovikov, 2022, CMIS.

Experimental Research and Analysis of Complexity of Parallel Method for Production Rules Extraction

Andrii O. Oliinyk, Sergei A. Subbotin, S. Yu. Skrupsky, 2018, Automatic Control and Computer Sciences.

Diagnostic Rule Mining Based on Artificial Immune System for a Case of Uneven Distribution of Classes in Sample

S. Subbotin, V. Levashenko, E. Zaitseva, 2016, Communications - Scientific letters of the University of Zilina.

THE MODEL FOR ESTIMATION OF COMPUTER SYSTEM USED RESOURCES WHILE EXTRACTING PRODUCTION RULES BASED ON PARALLEL COMPUTATIONS

A. A. Oliinyk, Vadym Shkarupylo, S. Yu. Skrupsky, 2017 .

The decision tree construction based on a stochastic search for the neuro-fuzzy network synthesis

A. A. Oliinyk, S. A. Subbotin, S. Subbotin, 2015, Optical Memory and Neural Networks.

Training sample reduction based on association rules for neuro-fuzzy networks synthesis

T. Zaiko, A. Oliinyk, S. Subbotin, 2014, Optical Memory and Neural Networks.

Implementation of Reinforcement Learning Strategies in the Synthesis of Neuromodels to Solve Medical Diagnostics Tasks

S. Leoshchenko, A. Oliinyk, V. Lytvyn, 2021, IDDM.

Training sample reduction based on association rules for neuro-fuzzy networks synthesis

T. Zaiko, S. Subbotin, A. Oliinyk, 2014, Optical Memory and Neural Networks.

The Sample and Instance Selection for Data Dimensionality Reduction

Sergey Subbotin, Andrii Oliinyk, S. Subbotin, 2016, ICONS 2016.

Parallel Computer System Resource Planning for Synthesis of Neuro-Fuzzy Networks

Sergey Subbotin, Andrii Oliinyk, Stepan Skrupsky, 2016, ICONS 2016.

The Dimensionality Reduction Methods Based on Computational Intelligence in Problems of Object Classification and Diagnosis

Sergey Subbotin, Andrii A. Oliinyk, S. Subbotin, 2016, ICONS 2016.

A stochastic approach for association rule extraction

S. Subbotin, A. Oliinyk, 2016, Pattern Recognition and Image Analysis.

Synthesis of Neuro-Fuzzy Networks on the Basis of Association Rules

Andrii Oliinyk, S. Subbotin, T. A. Zayko, 2014 .

The decision tree construction based on a stochastic search for the neuro-fuzzy network synthesis

S. Subbotin, A. Oliinyk, 2015, Optical Memory and Neural Networks.

INFORMATION TECHNOLOGY OF DIAGNOSIS MODELS SYNTHESIS BASED ON PARALLEL COMPUTING

Andrii Oliinyk, S. A. Subbotin, Tetiana Zaiko, 2017 .

INTEGRATED METHOD OF EXTRACTION, FORMALIZATION AND AGGREGATION OF COMPETITIVE AGENTS EXPERT EVALUATIONS IN A GROUP

Andrii Oliinyk, V. Lovkin, T. Kolpakova, 2017 .

Neuroevolution Methods for Organizing the Search for Anomalies in Time Series

S. Subbotin, S. Leoshchenko, A. Oliinyk, 2023, CMIS.

IMPLEMENTATION OF THE INDICATOR SYSTEM IN MODELING OF COMPLEX TECHNICAL SYSTEMS

Udc, S. Subbotin, S. Leoshchenko, 2021, Radio Electronics, Computer Science, Control.

Thermal Image Super-Resolution Methods Using Neural Networks

A. Oliinyk, S. Subbotin, A. Didenko, 2023, CMIS.