Olena Vynokurova

According to our database, Olena Vynokurova authored at least 27 papers between 2005 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Solving Fraud Detection Tasks Based on Wavelet-Neuro Autoencoder.

Olena Vynokurova, Dmytro Peleshko, Polina Zhernova, Iryna Perova, Andrii Kovalenko

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2020

Hybrid Deep Convolutional Neural Network with Multimodal Fusion.

Olena Vynokurova, Dmytro Peleshko, Marta Peleshko

DSMP (Selected Papers), 2020

Hybrid Machine Learning System for Solving Fraud Detection Tasks.

Olena Vynokurova, Dmytro Peleshko, Oleksandr Bondarenko, Vadim Ilyasov, Vladislav Serzhantov, Marta Peleshko

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Hybrid Multidimensional Deep Convolutional Neural Network for Multimodal Fusion.

Olena Vynokurova, Dmytro Peleshko

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

An Empirical Mode Decomposition Based Method to Synthesize Ensemble Multidimensional Gaussian Neuro-Fuzzy Models in Financial Forecasting.

Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko

DSMP (Selected Papers), 2020

A Hybrid EMD - Neuro-Fuzzy Model for Financial Time Series Analysis.

Alexander Vlasenko, Yuriy Rashkevych, Nataliia Vlasenko, Dmytro Peleshko, Olena Vynokurova

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

2019

A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting.

Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, Dmytro Peleshko

Data, 2019

2018

A Novel Neuro-Fuzzy Model for Multivariate Time-Series Prediction.

Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko

Data, 2018

Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning.

Yevgeniy V. Bodyanskiy, Galina Setlak, Olena Vynokurova, Iryna Pliss, Olena O. Boiko

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

Hybrid Multidimensional Wavelet-Neuro-System and its Learning Using Cross Entropy Cost Function in Pattern Recognition.

Olena Vynokurova, Dmytro Peleshko, Yuriy Borzov, Semen Oskerko, Viktor Voloshyn

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

A Hybrid Neuro-Fuzzy Model for Stock Market Time-Series Prediction.

Alexander Vlasenko, Olena Vynokurova, Nataliia Vlasenko, Marta Peleshko

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

The Autoencoder Based on Generalized Neo-Fuzzy Neuron and its Fast Learning for Deep Neural Networks.

Yevgeniy V. Bodyanskiy, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions.

Yevgeniy V. Bodyanskiy, Artem Dolotov, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova

Proceedings of the Contemporary Complex Systems and Their Dependability, 2018

The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning.

Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova

Proceedings of the International Conference Advanced Computer Information Technologies, 2018

2017

Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Dmytro Peleshko, Pavlo Mulesa

Neurocomputing, 2017

Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network.

Galina Setlak, Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova, Dmytro Peleshko, Illya Kobylin

Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych

Proceedings of the Advances in Dependability Engineering of Complex Systems, 2017

2016

Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Volodymyr Savvo, Tatiana Tverdokhlib, Pavlo Mulesa

CoRR, 2016

Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks.

Galina Setlak, Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Adaptive robust models for identification of nonstationary systems in data stream mining tasks.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Zdzislaw Szymanski, Illya Kobylin, Oleg Kobylin

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Galina Setlak, Pavlo Mulesa

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych

Proceedings of the Dependability Engineering and Complex Systems, 2016

2015

Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms.

Yevgeniy V. Bodyanskiy, Galina Setlak, Dmytro Peleshko, Olena Vynokurova

Proceedings of the IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2015

Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Iryna Pliss

Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015

2014

Evolving spiking wavelet-neuro-fuzzy self-learning system.

Yevgeniy V. Bodyanskiy, Artem Dolotov, Olena Vynokurova

Appl. Soft Comput., 2014

2013

Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification.

Yevgeniy V. Bodyanskiy, Olena Vynokurova

Inf. Sci., 2013

2005

An adaptive learning algorithm for a wavelet neural network.

Yevgeniy V. Bodyanskiy, Nataliya Lamonova, Irina Pliss, Olena Vynokurova

Expert Syst. J. Knowl. Eng., 2005