Olena Vynokurova

Publication Activity (10 Years)

Years Active: 2005-2020
Publications (10 Years): 24

Top Topics

Financial Time Series

Data Stream Mining

Top Venues

DepCoS-RELCOMEX

Publications

Alexander Vlasenko, Yuriy Rashkevych, Nataliia Vlasenko, Dmytro Peleshko, Olena Vynokurova
A Hybrid EMD - Neuro-Fuzzy Model for Financial Time Series Analysis. DSMP (2020)
Olena Vynokurova, Dmytro Peleshko
Hybrid Multidimensional Deep Convolutional Neural Network for Multimodal Fusion. DSMP (2020)
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 (2020)
Olena Vynokurova, Dmytro Peleshko, Polina Zhernova, Iryna Perova, Andrii Kovalenko
Solving Fraud Detection Tasks Based on Wavelet-Neuro Autoencoder. ISDMCI (2020)
Olena Vynokurova, Dmytro Peleshko, Marta Peleshko
Hybrid Deep Convolutional Neural Network with Multimodal Fusion. DSMP (2020)
Olena Vynokurova, Dmytro Peleshko, Oleksandr Bondarenko, Vadim Ilyasov, Vladislav Serzhantov, Marta Peleshko
Hybrid Machine Learning System for Solving Fraud Detection Tasks. DSMP (2020)
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) (2019)
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)
Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova
The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning. ACIT (2018)
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)
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)
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)
Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko
A Novel Neuro-Fuzzy Model for Multivariate Time-Series Prediction. Data 3 (4) (2018)
Alexander Vlasenko, Olena Vynokurova, Nataliia Vlasenko, Marta Peleshko
A Hybrid Neuro-Fuzzy Model for Stock Market Time-Series Prediction. DSMP (2018)
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 (2017)
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)
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)
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)
Galina Setlak, Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss
Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks. FedCSIS (2016)
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)
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)
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Volodymyr Savvo, Tatiana Tverdokhlib, Pavlo Mulesa
Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis. CoRR (2016)
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Iryna Pliss
Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm. CSIT (2015)
Yevgeniy V. Bodyanskiy, Galina Setlak, Dmytro Peleshko, Olena Vynokurova
Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms. IDAACS (2015)
Yevgeniy V. Bodyanskiy, Artem Dolotov, Olena Vynokurova
Evolving spiking wavelet-neuro-fuzzy self-learning system. Appl. Soft Comput. 14 (2014)
Yevgeniy V. Bodyanskiy, Olena Vynokurova
Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification. Inf. Sci. 220 (2013)
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) (2005)