An evolving neuro-fuzzy system for online fuzzy clustering. - Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Daria S. Kopaliani (CSIT, 2015)

An evolving radial basis neural network with adaptive learning of its parameters and architecture. - Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Anastasiia O. Deineko (Autom. Control. Comput. Sci., 2015)

A hybrid cascade neural network with an optimized pool in each cascade. - Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Daria S. Kopaliani (Soft Comput., 2015)

A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering. - Zhengbing Hu; Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko (CSIT, 2016)

A deep cascade neuro-fuzzy system for high-dimensional online fuzzy clustering. - Zhengbing Hu; Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko (DSMP, 2016)

A reservoir radial-basis function neural network in prediction tasks. - Oleksii K. Tyshchenko (Autom. Control. Comput. Sci., 2016)

An Evolving Neuro-Fuzzy System with Online Learning/Self-learning. - Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Anastasiia O. Deineko (CoRR, 2016)

An Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm. - Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Daria S. Kopaliani (CoRR, 2016)

A Multidimensional Cascade Neuro-Fuzzy System with Neuron Pool Optimization in Each Cascade. - Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Daria S. Kopaliani (CoRR, 2016)

An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes. - Zhengbing Hu; Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Olena O. Boiko (CoRR, 2016)

Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model. - Zhengbing Hu; Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Olena O. Boiko (CoRR, 2016)

An Ensemble of Adaptive Neuro-Fuzzy Kohonen Networks for Online Data Stream Fuzzy Clustering. - Zhengbing Hu; Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Olena O. Boiko (CoRR, 2016)

Adaptive learning of an evolving cascade neo-fuzzy system in data stream mining tasks. - Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Daria S. Kopaliani (Evol. Syst., 2016)

A hybrid growing ENFN-based neuro-fuzzy system and its rapid deep learning. - Zhengbing Hu; Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko (CSIT (1), 2017)

Fuzzy Clustering Data Given in the Ordinal Scale. - Zhengbing Hu; Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Viktoriia O. Samitova (CoRR, 2017)

Fuzzy Clustering Data Given on the Ordinal Scale Based on Membership and Likelihood Functions Sharing. - Zhengbing Hu; Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Viktoriia O. Samitova (CoRR, 2017)

An evolving connectionist system for data stream fuzzy clustering and its online learning. - Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Daria S. Kopaliani (Neurocomputing, 2017)

A Hybrid Neuro-Fuzzy Element: A New Structural Node for Evolving Neuro-Fuzzy Systems. - Zhengbing Hu; Oleksii K. Tyshchenko (DSMP, 2018)

A neuro-fuzzy Kohonen network for data stream possibilistic clustering and its online self-learning procedure. - Zhengbing Hu; Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Olena O. Boiko (Appl. Soft Comput., 2018)

Analysis of privacy profiles applying fuzzy clustering techniques. - Aigul Kaskina; Oleksii K. Tyshchenko (EUSFLAT Conf., 2019)

Fuzzy Clustering High-Dimensional Data Using Information Weighting. - Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Sergii V. Mashtalir (ICAISC (1), 2019)

A Hybrid Cascade Neuro-Fuzzy Network with Pools of Extended Neo-Fuzzy Neurons and its Deep Learning. - Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko (Int. J. Appl. Math. Comput. Sci., 2019)

KLN: A Deep Neural Network Architecture for Keypoint Localization. - Petr Hurtík; Oleksii K. Tyshchenko (DSMP, 2020)

An Object-Oriented Architecture of the Information System for Solving the Protein Folding Problem. - Iryna Fefelova; Andrey Fefelov; Oleksii K. Tyshchenko; Volodymyr Lytvynenko (IDAACS, 2021)

A Noise Resistant Credibilistic Fuzzy Clustering Algorithm on a Unit Hypersphere with Illustrations Using Expression Data. - Zhengbing Hu; Mark Last; Tzung-Pei Hong; Oleksii K. Tyshchenko; Esha Kashyap (ISDMCI, 2022)

Machine Learning of the Biotechnic System for Gastroesophageal Reflux Disease Monitoring. - Vsevolod Novikov; Mariia Voronenko; Anastasiia Novikova; Oleg Boskin; Oleksii K. Tyshchenko; Yuriy Rozov; Yuriy Bardachov; Svitlana Vyshemyrska (ISDMCI, 2022)