Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification Y Bodyanskiy, O Vynokurova Information Sciences 220, 170-179, 2013 | 99 | 2013 |
An adaptive learning algorithm for a wavelet neural network Y Bodyanskiy, N Lamonova, I Pliss, O Vynokurova Expert Systems 22 (5), 235-240, 2005 | 61 | 2005 |
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 | 47 | 2017 |
Cascaded GMDH-wavelet-neuro-fuzzy network B Ye, O Vynokurova, N Teslenko Proc 4th Int. Workshop on Inductive Modelling «IWIM 2011, 22-30, 2011 | 35 | 2011 |
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 | 30 | 2008 |
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 | 29 | 2008 |
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 | 28 | 2016 |
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 | 27 | 2019 |
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 | 27 | 2015 |
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 | 26 | 2016 |
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 | 25 | 2018 |
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 | 25 | 2013 |
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 | 24 | 2020 |
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 | 24 | 2009 |
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 | 21 | 2017 |
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 | 21 | 2016 |
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 | 21 | 2013 |
Hybrid cascade neural network based on wavelet-neuron Y Bodyanskiy, O Kharchenko, O Vynokurova Information Theories and Application 18 (4), 335-343, 2011 | 20 | 2011 |
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 | 19 | 2018 |
Evolving spiking wavelet-neuro-fuzzy self-learning system Y Bodyanskiy, A Dolotov, O Vynokurova Applied Soft Computing 14, 252-258, 2014 | 19 | 2014 |