Olena Vynokurova

34 papers C 2Misc 1Journal 7Unranked 22
YearRankTypeTitle / Venue / Authors
2025 — conf
Comparison of interpolation methods for modelling the characteristics of oxide-containing epoxy composites.
ITTAP
Danylo Stukhliak, Oleg Totosko, Petro Stukhliak, Olena Vynokurova, Danyl Zhytnyk
2025 — conf
Information and measurement system for analyzing images of fundus tissue using computer-integrated technologies.
ITTAP
Oleksandr Povstianoi, Olena Vynokurova, Viktor Denysiuk, Yurii Lapchenko, Roman Hrudetskij
2024 — conf
Audio Deep Watermarking and Algebraic Transform.
ISDMCI (2)
Olena Vynokurova, Dmytro Peleshko, Marta Peleshko, Maksym Kapys, Serhii Shatilo
2024 — conf
Investigation of tribotechnical characteristics of epoxy composites using neural networks.
BAIT
Petro Stukhliak, Oleg Totosko, Olena Vynokurova, Danulo Stukhlyak
2024 — conf
Use of neural networks for modelling the mechanical characteristics of epoxy composites treated with electric spark water hammer.
ITTAP
Petro Stukhliak, Oleg Totosko, Danulo Stukhlyak, Olena Vynokurova, Iaroslav Lytvynenko
2020 — conf
A Hybrid EMD - Neuro-Fuzzy Model for Financial Time Series Analysis.
DSMP
Alexander Vlasenko, Yuriy Rashkevych, Nataliia Vlasenko, Dmytro Peleshko, Olena Vynokurova
2020 — conf
An Empirical Mode Decomposition Based Method to Synthesize Ensemble Multidimensional Gaussian Neuro-Fuzzy Models in Financial Forecasting.
DSMP (Selected Papers)
Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko
2020 — ed.
Data Stream Mining & Processing - Third International Conference, DSMP 2020, Lviv, Ukraine, August 21-25, 2020, Selected Papers
DSMP (Selected Papers)
Sergii Babichev, Dmytro Peleshko, Olena Vynokurova
2020 — conf
Hybrid Deep Convolutional Neural Network with Multimodal Fusion.
DSMP (Selected Papers)
Olena Vynokurova, Dmytro Peleshko, Marta Peleshko
2020 — conf
Hybrid Machine Learning System for Solving Fraud Detection Tasks.
DSMP
Olena Vynokurova, Dmytro Peleshko, Oleksandr Bondarenko, Vadim Ilyasov, Vladislav Serzhantov, Marta Peleshko
2020 — conf
Hybrid Multidimensional Deep Convolutional Neural Network for Multimodal Fusion.
DSMP
Olena Vynokurova, Dmytro Peleshko
2020 — ed.
Lecture Notes in Computational Intelligence and Decision Making - Proceedings of the 15th International Scientific Conference "Intellectual Systems of Decision Making and Problems of Computational Intelligence", ISDMCI 2019, Salisnyj Port, Ukraine, May 21-25, 2019
ISDMCI
Volodymyr Lytvynenko, Sergii Babichev, Waldemar Wójcik, Olena Vynokurova, Svetlana Vyshemyrskaya, Svetlana Radetskaya
2020 — conf
Solving Fraud Detection Tasks Based on Wavelet-Neuro Autoencoder.
ISDMCI
Olena Vynokurova, Dmytro Peleshko, Polina Zhernova, Iryna Perova, Andrii Kovalenko
2019 J jnl
A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting.
Data
Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, Dmytro Peleshko
2018 — conf
A Hybrid Neuro-Fuzzy Model for Stock Market Time-Series Prediction.
DSMP
Alexander Vlasenko, Olena Vynokurova, Nataliia Vlasenko, Marta Peleshko
2018 J jnl
A Novel Neuro-Fuzzy Model for Multivariate Time-Series Prediction.
Data
Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko
2018 — conf
Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions.
DepCoS-RELCOMEX
Yevgeniy V. Bodyanskiy, Artem Dolotov, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova
2018 C conf
Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning.
FedCSIS
Yevgeniy V. Bodyanskiy, Galina Setlak, Olena Vynokurova, Iryna Pliss, Olena O. Boiko
2018 — conf
Hybrid Multidimensional Wavelet-Neuro-System and its Learning Using Cross Entropy Cost Function in Pattern Recognition.
DSMP
Olena Vynokurova, Dmytro Peleshko, Yuriy Borzov, Semen Oskerko, Viktor Voloshyn
2018 — conf
The Autoencoder Based on Generalized Neo-Fuzzy Neuron and its Fast Learning for Deep Neural Networks.
DSMP
Yevgeniy V. Bodyanskiy, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova
2018 — conf
The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning.
ACIT
Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova
2017 — conf
Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network.
EUSFLAT/IWIFSGN (3)
Galina Setlak, Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova, Dmytro Peleshko, Illya Kobylin
2017 J jnl
Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning.
Neurocomputing
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Dmytro Peleshko, Pavlo Mulesa
2017 — conf
Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning.
DepCoS-RELCOMEX
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych
2016 — conf
Adaptive robust models for identification of nonstationary systems in data stream mining tasks.
DSMP
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Zdzislaw Szymanski, Illya Kobylin, Oleg Kobylin
2016 C conf
Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks.
FedCSIS
Galina Setlak, Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss
2016 — conf
Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks.
DSMP
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Galina Setlak, Pavlo Mulesa
2016 — conf
Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning.
DepCoS-RELCOMEX
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych
2016 J jnl
Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis.
CoRR
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Volodymyr Savvo, Tatiana Tverdokhlib, Pavlo Mulesa
2015 — conf
Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms.
IDAACS
Yevgeniy V. Bodyanskiy, Galina Setlak, Dmytro Peleshko, Olena Vynokurova
2015 Misc conf
Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm.
CSIT
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Iryna Pliss
2014 J jnl
Evolving spiking wavelet-neuro-fuzzy self-learning system.
Appl. Soft Comput.
Yevgeniy V. Bodyanskiy, Artem Dolotov, Olena Vynokurova
2013 J jnl
Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification.
Inf. Sci.
Yevgeniy V. Bodyanskiy, Olena Vynokurova
2005 J jnl
An adaptive learning algorithm for a wavelet neural network.
Expert Syst. J. Knowl. Eng.
Yevgeniy V. Bodyanskiy, Nataliya Lamonova, Irina Pliss, Olena Vynokurova