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UO > About > Organizational Structure > Faculties & Institutes > Centre of Excellence IT4Innovations, division of UO, Institute for Research and Applications of Fuzzy Modeling

Oleksii Tyshchenko


Academic degree, name, surname:Dr. Oleksii Tyshchenko
Room, floor, building: C 702, Building C
Position:
Research interests and teaching:data analysis, clustering algorithms
Department (Faculty): Institute for Research and Applications of Fuzzy Modeling
Phone number, mobile: +420 553 46 1417
E-mail:
Personal website:



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A survey on kernelized fuzzy clustering tools for data processing
Zhengbing Hu, Oleksii Tyshchenko
Year: 2021
abstract in proceedings

Comparative analysis of inductive density clustering algorithms MeanShift and DBSCAN
Zhengbing Hu, Irina Lurie, Oleksii Tyshchenko, Nataliia Savina, Volodymyr Lytvynenko
Year: 2021
abstract in proceedings

The possibilistic Gustafson-Kessel fuzzy clustering procedure for online data processing
Zhengbing Hu, Oleksii Tyshchenko
Year: 2021
abstract in proceedings

A Hybrid Cascade Neural Network with Ensembles of Extended Neo-Fuzzy Neurons and its Deep Learning
Yevgeniy Bodyanskiy, Oleksii Tyshchenko
Year: 2020
abstract in proceedings

An Approach to Online Fuzzy Clustering Based on the Mahalanobis Distance Measure
Zhengbing Hu, Oleksii Tyshchenko
Year: 2020
abstract in proceedings

KLN: a deep neural network architecture for keypoint localization
Petr Hurtík, Oleksii Tyshchenko
Year: 2020
abstract in proceedings

A Hybrid Cascade Neuro-Fuzzy Network with Pools of Extended Neo-Fuzzy Neurons and its Deep Learning
Yevgeniy V. Bodyanskiy, Oleksii Tyshchenko
Year: 2019, International Journal of Applied Mathematics and Computer Science
journal article

Fuzzy Clustering High-Dimensional Data Using Information Weighting
Yevgeniy V. Bodyanskiy, Oleksii Tyshchenko, Sergii V. Mashtalir
Year: 2019
abstract in proceedings

Fuzzy Clustering of Incomplete Data by Means of Similarity Measures
Zhengbing Hu, Yevgeniy Bodyanskiy, Oleksii Tyshchenko, Alina Shafronenko
Year: 2019
abstract in proceedings

Self-Learning and Adaptive Algorithms for Business Applications. A Guide to Adaptive Neuro-fuzzy Systems for Fuzzy Clustering under Uncertainty Conditions
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii Tyshchenko
Year: 2019, Emerald Publishing Limited
specialist book

Self-learning Procedures for a Kernel Fuzzy Clustering System
Zhengbing Hu, Yevgeniy Bodyanskiy, Oleksii Tyshchenko
Year: 2019
abstract in proceedings

A Hybrid Neuro-Fuzzy Element: a New Structural Node for Evolving Neuro-Fuzzy Systems
Zhengbing Hu, Oleksii Tyshchenko
Year: 2018
abstract in proceedings

Clustering matrix sequences based on the iterative dynamic time deformation
Zhengbing Hu, Sergii Mashtalir, Oleksii Tyshchenko, Mykhailo Stolbovyi
Year: 2018, International Journal of Intelligent Systems and Applications(IJISA)
journal article

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