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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:



No record found.



A Noise Resistant Credibilistic Fuzzy Clustering Algorithm on a Unit Hypersphere with Illustrations Using Expression Data
Zhengbing Hu, Mark Last, Tzung-Pei Hong, Oleksii Tyshchenko, Esha Kashyap
Year: 2023, Springer Cham
specialist book chapter
 
Fuzzy clustering biomarker candidates in high-dimensional (multi-) omics data
Frank Klawonn, Oleksii Tyshchenko
Year: 2023
abstract in proceedings
 
Machine Learning of the Biotechnic System for Gastroesophageal Reflux Disease Monitoring
Vsevolod Novikov, Mariia Voronenko, Anastasiia Novikova, Oleg Boskin, Oleksii Tyshchenko, Yuriy Rozov, Yuriy Bardachov, Svitlana Vyshemyrska ... other authors
Year: 2023, Springer Cham
specialist book chapter
 
An object-oriented architecture of the information system for solving the protein folding problem
Iryna Fefelova, Andrey Fefelov, Oleksii Tyshchenko, Volodymyr Lytvynenko
Year: 2022
abstract in proceedings
 
GEOCLUS: A Fuzzy-Based Learning Algorithm for Clustering Expression Datasets
Zhengbing Hu, Esha Kashyap, Oleksii Tyshchenko
Year: 2022
abstract in proceedings
 
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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