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Olena Vynokurova
Olena Vynokurova
Ivan Franko National University of Lviv
Verified email at lnu.edu.ua
Title
Cited by
Cited by
Year
Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification
Y Bodyanskiy, O Vynokurova
Information Sciences 220, 170-179, 2013
992013
An adaptive learning algorithm for a wavelet neural network
Y Bodyanskiy, N Lamonova, I Pliss, O Vynokurova
Expert Systems 22 (5), 235-240, 2005
612005
Single-frame image super-resolution based on singular square matrix operator
Y Rashkevych, D Peleshko, O Vynokurova, I Izonin, N Lotoshynska
2017 IEEE First Ukraine Conference on Electrical and Computer Engineering …, 2017
472017
Cascaded GMDH-wavelet-neuro-fuzzy network
B Ye, O Vynokurova, N Teslenko
Proc 4th Int. Workshop on Inductive Modelling «IWIM 2011, 22-30, 2011
352011
Radial basis fuzzy wavelet neural network with adaptive activation membership function
Y Bodyanskiy, O Vynokurova, E Yegorova
Artificial Intelligence and Machine Learning Journal, ICGST 8 (II), 1-7, 2008
302008
Adaptive wavelet-neuro-fuzzy network in the forecasting and emulation tasks
Y Bodyanskiy, I Pliss, O Vynokurova
Int. journal on information theory and applications 15 (1), 47-55, 2008
292008
Adaptive fuzzy clustering of short time series with unevenly distributed observations in Data Stream Mining tasks
Y Bodyanskiy, O Vynokurova, I Kobylin, O Kobylin
Information Technology and Management Science 19 (1), 23-28, 2016
282016
Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm
Y Bodyanskiy, O Vynokurova, G Setlak, I Pliss
2015 Xth International Scientific and Technical Conference" Computer …, 2015
272015
A novel ensemble neuro-fuzzy model for financial time series forecasting
A Vlasenko, N Vlasenko, O Vynokurova, Y Bodyanskiy, D Peleshko
Data 4 (3), 126, 2019
262019
Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks
Y Bodyanskiy, O Vynokurova, I Pliss, G Setlak, P Mulesa
2016 IEEE First International Conference on Data Stream Mining & Processing …, 2016
262016
Hybrid fuzzy-clustering algorithm of unevenly and asynchronously spaced time series in computer engineering
Y Bodyanskiy, I Kobylin, Y Rashkevych, O Vynokurova, D Peleshko
2018 14th International Conference on Advanced Trends in Radioelecrtronics …, 2018
252018
Self-learning cascade spiking neural network for fuzzy clustering based on group method of data handling
YV Bodyanskiy, EA Vynokurova, AI Dolotov
Journal of Automation and Information Sciences 45 (3), 2013
252013
Hybrid machine learning system for solving fraud detection tasks
O Vynokurova, D Peleshko, O Bondarenko, V Ilyasov, V Serzhantov, ...
2020 IEEE Third International Conference on Data Stream Mining & Processing …, 2020
242020
Hybrid GMDH-neural network of computational intelligence
Y Bodyanskiy, O Vynokurova, I Pliss
Proc. 3rd Int. Workshop on Inductive Modeling, Krynica, Poland, 100-107, 2009
242009
Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning
Y Bodyanskiy, O Vynokurova, G Setlak, D Peleshko, P Mulesa
Neurocomputing 230, 409-416, 2017
212017
Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis
Y Bodyanskiy, O Vynokurova, V Savvo, T Tverdokhlib, P Mulesa
arXiv preprint arXiv:1610.07857, 2016
212016
Flexible neo-fuzzy neuron and neuro-fuzzy network for monitoring time series properties
Y Bodyanskiy, I Pliss, O Vynokurova
Information Technology and Management Science 16 (1), 47-52, 2013
212013
Hybrid cascade neural network based on wavelet-neuron
Y Bodyanskiy, O Kharchenko, O Vynokurova
Information Theories and Application 18 (4), 335-343, 2011
202011
A hybrid neuro-fuzzy model for stock market time-series prediction
A Vlasenko, O Vynokurova, N Vlasenko, M Peleshko
2018 IEEE Second International Conference on Data Stream Mining & Processing …, 2018
192018
Evolving spiking wavelet-neuro-fuzzy self-learning system
Y Bodyanskiy, A Dolotov, O Vynokurova
Applied Soft Computing 14, 252-258, 2014
192014
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