Olena Vynokurova

34 papers C 2Misc 1Journal 7Unranked 22

Year	Rank	Type	Title / 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