Oleksii K. Tyshchenko

According to our database, Oleksii K. Tyshchenko authored at least 26 papers between 2015 and 2022.

Collaborative distances:

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

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

Proceedings of the Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making, 2022

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

Proceedings of the Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making, 2022

2021

An Object-Oriented Architecture of the Information System for Solving the Protein Folding Problem.

Iryna Fefelova, Andrey Fefelov, Oleksii K. Tyshchenko, Volodymyr Lytvynenko

Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

2020

KLN: A Deep Neural Network Architecture for Keypoint Localization.

Petr Hurtík, Oleksii K. Tyshchenko

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

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

Fuzzy Clustering High-Dimensional Data Using Information Weighting.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Sergii V. Mashtalir

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Analysis of privacy profiles applying fuzzy clustering techniques.

Aigul Kaskina, Oleksii K. Tyshchenko

Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

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

A Hybrid Neuro-Fuzzy Element: A New Structural Node for Evolving Neuro-Fuzzy Systems.

Zhengbing Hu, Oleksii K. Tyshchenko

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

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

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

Fuzzy Clustering Data Given in the Ordinal Scale.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova

CoRR, 2017

A hybrid growing ENFN-based neuro-fuzzy system and its rapid deep learning.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko

Proceedings of the 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, September 5-8, 2017, 2017

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

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 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 Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko

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 Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani

CoRR, 2016

An Evolving Neuro-Fuzzy System with Online Learning/Self-learning.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Anastasiia O. Deineko

CoRR, 2016

A reservoir radial-basis function neural network in prediction tasks.

Oleksii K. Tyshchenko

Autom. Control. Comput. Sci., 2016

A deep cascade neuro-fuzzy system for high-dimensional online fuzzy clustering.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko

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

A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko

Proceedings of the XIth International Scientific and Technical Conference Computer Sciences and Information Technologies, 2016

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

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

An evolving neuro-fuzzy system for online fuzzy clustering.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani

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