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ORCIDOlena Vynokurova
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- affiliation: Kharkiv National University of Radio Electronics, Ukraine
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2020 – today
- 2020
[c20]Olena Vynokurova, Dmytro Peleshko, Oleksandr Bondarenko, Vadim Ilyasov, Vladislav Serzhantov, Marta Peleshko:
Hybrid Machine Learning System for Solving Fraud Detection Tasks. DSMP 2020: 1-5- [c19]Olena Vynokurova
, Dmytro Peleshko, Marta Peleshko:
Hybrid Deep Convolutional Neural Network with Multimodal Fusion. DSMP (Selected Papers) 2020: 62-78 - [c18]Alexander Vlasenko, Yuriy Rashkevych, Nataliia Vlasenko, Dmytro Peleshko, Olena Vynokurova:
A Hybrid EMD - Neuro-Fuzzy Model for Financial Time Series Analysis. DSMP 2020: 112-115 - [c17]Olena Vynokurova, Dmytro Peleshko:
Hybrid Multidimensional Deep Convolutional Neural Network for Multimodal Fusion. DSMP 2020: 131-135 - [c16]Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko:
An Empirical Mode Decomposition Based Method to Synthesize Ensemble Multidimensional Gaussian Neuro-Fuzzy Models in Financial Forecasting. DSMP (Selected Papers) 2020: 140-149 - [c15]Olena Vynokurova, Dmytro Peleshko, Polina Zhernova, Iryna Perova, Andrii Kovalenko:
Solving Fraud Detection Tasks Based on Wavelet-Neuro Autoencoder. ISDMCI 2020: 535-546 - [e2]Sergii Babichev, Dmytro Peleshko, Olena Vynokurova:
Data Stream Mining & Processing - Third International Conference, DSMP 2020, Lviv, Ukraine, August 21-25, 2020, Selected Papers. Communications in Computer and Information Science 1158, Springer 2020, ISBN 978-3-030-61655-7 [contents] - [e1]Volodymyr Lytvynenko, Sergii Babichev, Waldemar Wójcik, Olena Vynokurova, Svetlana Vyshemyrskaya, Svetlana Radetskaya:
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. Advances in Intelligent Systems and Computing 1020, Springer 2020, ISBN 978-3-030-26473-4 [contents]
2010 – 2019
- 2019
- [j6]Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, Dmytro Peleshko:
A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting. Data 4(3): 126 (2019) - 2018
- [j5]Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko:
A Novel Neuro-Fuzzy Model for Multivariate Time-Series Prediction. Data 3(4): 62 (2018) - [c14]Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova:
The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning. ACIT 2018: 161-164 - [c13]Yevgeniy V. Bodyanskiy, Artem Dolotov, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova:
Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions. DepCoS-RELCOMEX 2018: 56-63 - [c12]Yevgeniy V. Bodyanskiy, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova:
The Autoencoder Based on Generalized Neo-Fuzzy Neuron and its Fast Learning for Deep Neural Networks. DSMP 2018: 113-118 - [c11]Olena Vynokurova, Dmytro Peleshko, Yuriy Borzov, Semen Oskerko, Viktor Voloshyn:
Hybrid Multidimensional Wavelet-Neuro-System and its Learning Using Cross Entropy Cost Function in Pattern Recognition. DSMP 2018: 305-309 - [c10]Alexander Vlasenko, Olena Vynokurova, Nataliia Vlasenko, Marta Peleshko:
A Hybrid Neuro-Fuzzy Model for Stock Market Time-Series Prediction. DSMP 2018: 352-355 - [c9]Yevgeniy V. Bodyanskiy, Galina Setlak, Olena Vynokurova, Iryna Pliss, Olena O. Boiko:
Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning. FedCSIS 2018: 29-33 - 2017
- [j4]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Dmytro Peleshko, Pavlo Mulesa:
Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning. Neurocomputing 230: 409-416 (2017) - [c8]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych:
Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning. DepCoS-RELCOMEX 2017: 49-59 - [c7]Galina Setlak, Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova, Dmytro Peleshko, Illya Kobylin:
Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network. EUSFLAT/IWIFSGN (3) 2017: 308-315 - 2016
- [c6]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych:
Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning. DepCoS-RELCOMEX 2016: 51-61 - [c5]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Galina Setlak, Pavlo Mulesa:
Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks. DSMP 2016: 257-262 - [c4]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Zdzislaw Szymanski, Illya Kobylin, Oleg Kobylin:
Adaptive robust models for identification of nonstationary systems in data stream mining tasks. DSMP 2016: 263-268 - [c3]Galina Setlak, Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss:
Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks. FedCSIS 2016: 141-145 - [i1]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Volodymyr Savvo, Tatiana Tverdokhlib, Pavlo Mulesa:
Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis. CoRR abs/1610.07857 (2016) - 2015
- [c2]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Iryna Pliss:
Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm. CSIT 2015: 111-114 - [c1]Yevgeniy V. Bodyanskiy, Galina Setlak, Dmytro Peleshko, Olena Vynokurova:
Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms. IDAACS 2015: 328-333 - 2014
- [j3]Yevgeniy V. Bodyanskiy, Artem Dolotov, Olena Vynokurova:
Evolving spiking wavelet-neuro-fuzzy self-learning system. Appl. Soft Comput. 14: 252-258 (2014) - 2013
- [j2]Yevgeniy V. Bodyanskiy, Olena Vynokurova:
Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification. Inf. Sci. 220: 170-179 (2013)
2000 – 2009
- 2005
- [j1]Yevgeniy V. Bodyanskiy, Nataliya Lamonova, Irina Pliss, Olena Vynokurova:
An adaptive learning algorithm for a wavelet neural network. Expert Syst. J. Knowl. Eng. 22(5): 235-240 (2005)
Coauthor Index
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