An adaptive learning algorithm for a wavelet neural network. - Yevgeniy V. Bodyanskiy; Nataliya Lamonova; Irina Pliss; Olena Vynokurova (Expert Syst. J. Knowl. Eng., 2005)

Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification. - Yevgeniy V. Bodyanskiy; Olena Vynokurova (Inf. Sci., 2013)

Evolving spiking wavelet-neuro-fuzzy self-learning system. - Yevgeniy V. Bodyanskiy; Artem Dolotov; Olena Vynokurova (Appl. Soft Comput., 2014)

Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Galina Setlak; Iryna Pliss (CSIT, 2015)

Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms. - Yevgeniy V. Bodyanskiy; Galina Setlak; Dmytro Peleshko; Olena Vynokurova (IDAACS, 2015)

Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Iryna Pliss; Dmytro Peleshko; Yuriy Rashkevych (DepCoS-RELCOMEX, 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 (DSMP, 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 (DSMP, 2016)

Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks. - Galina Setlak; Yevgeniy V. Bodyanskiy; Olena Vynokurova; Iryna Pliss (FedCSIS, 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 Stacking Convex Neuro-Fuzzy System and Its On-line Learning. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Iryna Pliss; Dmytro Peleshko; Yuriy Rashkevych (DepCoS-RELCOMEX, 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 (EUSFLAT/IWIFSGN (3), 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)

The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning. - Yevgeniy V. Bodyanskiy; Iryna Pliss; Olena Vynokurova (ACIT, 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 (DepCoS-RELCOMEX, 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 (DSMP, 2018)

A Hybrid Neuro-Fuzzy Model for Stock Market Time-Series Prediction. - Alexander Vlasenko; Olena Vynokurova; Nataliia Vlasenko; Marta Peleshko (DSMP, 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 (DSMP, 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 (FedCSIS, 2018)

A Novel Neuro-Fuzzy Model for Multivariate Time-Series Prediction. - Alexander Vlasenko; Nataliia Vlasenko; Olena Vynokurova; Dmytro Peleshko (Data, 2018)

A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting. - Alexander Vlasenko; Nataliia Vlasenko; Olena Vynokurova; Yevgeniy V. Bodyanskiy; Dmytro Peleshko (Data, 2019)

A Hybrid EMD - Neuro-Fuzzy Model for Financial Time Series Analysis. - Alexander Vlasenko; Yuriy Rashkevych; Nataliia Vlasenko; Dmytro Peleshko; Olena Vynokurova (DSMP, 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)

Hybrid Multidimensional Deep Convolutional Neural Network for Multimodal Fusion. - Olena Vynokurova; Dmytro Peleshko (DSMP, 2020)

Hybrid Machine Learning System for Solving Fraud Detection Tasks. - Olena Vynokurova; Dmytro Peleshko; Oleksandr Bondarenko; Vadim Ilyasov; Vladislav Serzhantov; Marta Peleshko (DSMP, 2020)

Hybrid Deep Convolutional Neural Network with Multimodal Fusion. - Olena Vynokurova; Dmytro Peleshko; Marta Peleshko (DSMP (Selected Papers), 2020)

Solving Fraud Detection Tasks Based on Wavelet-Neuro Autoencoder. - Olena Vynokurova; Dmytro Peleshko; Polina Zhernova; Iryna Perova; Andrii Kovalenko (ISDMCI, 2020)

Investigation of tribotechnical characteristics of epoxy composites using neural networks. - Petro Stukhliak; Oleg Totosko; Olena Vynokurova; Danulo Stukhlyak (BAIT, 2024)

Audio Deep Watermarking and Algebraic Transform. - Olena Vynokurova; Dmytro Peleshko; Marta Peleshko; Maksym Kapys; Serhii Shatilo (ISDMCI (2), 2024)

Use of neural networks for modelling the mechanical characteristics of epoxy composites treated with electric spark water hammer. - Petro Stukhliak; Oleg Totosko; Danulo Stukhlyak; Olena Vynokurova; Iaroslav Lytvynenko (ITTAP, 2024)