Yevgeniy V. Bodyanskiy

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 90

Top Venues

Publications

Yevgeniy V. Bodyanskiy, Alina Shafronenko, Diana Rudenko, Oleksii Tanianskyi
Online Stacking Credibilistic Fuzzy Clustering for Data Stream Mining. CMIS (2024)
Yevgeniy V. Bodyanskiy, Alina Shafronenko, Diana Rudenko, Anton Plubiekhin, Dmytro Frolov
Online Image Segmentation using Сredibilistic Fuzzy Clustering. COLINS (1) (2024)
Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss
Credibilistic Fuzzy Clustering Method Based on Evolutionary Approach of Crazy Wolfs in Online Mode. CMIS (2023)
Yevgeniy V. Bodyanskiy, Serhii Kostiuk
Learnable Extended Activation Function for Deep Neural Networks. Int. J. Comput. 22 (3) (2023)
Yevgeniy V. Bodyanskiy, Olha Chala
Stacking Neuro-Neo-Fuzzy System for Pattern Recognition and Its Online Learning. ACIT (2023)
Yevgeniy V. Bodyanskiy, Nataliya Ryabova, Roman Lavrynenko
CLIPTraVeLGAN for Semantically Robust Unpaired Image Translation. COLINS (2023)
Khrystyna Lipianina-Honcharenko, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Ivan Kit, Tetiana Podchasova, Taras Lendiuk
An Intelligent Method of Prediction the Demand for Goods/Services in Crisis Conditions. ProfIT AI (2023)
Olha Chala, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Maciej Dobrowolski
Matrix Hyper-Basis Function Neural Network and Its Online Learning. IDAACS (2023)
Sergey Dyadun, Yevgeniy V. Bodyanskiy, Kyryl Korobchynskyi, Oleg Kobylin
Methods For Increasing The Reliability Of The Functioning Of Pipeline Systems. ProfIT AI (2022)
Yevgeniy V. Bodyanskiy, Olha Chala, Ivan Izonin, Sergiy Popov
Simple Neuro-Fuzzy System with Combined Learning for Pattern Recognition under Conditions of Short Training Set in Medical Diagnostics Tasks. IDDM (2022)
Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Viktoria Skorik, Filip Brodetskyi
Deep Neural Network with Adaptive Parametric Rectified Linear Units and its Fast Learning. Int. J. Comput. 21 (1) (2022)
Yevgeniy V. Bodyanskiy, Sergiy Popov, Filip Brodetskyi, Olha Chala
Adaptive Least-Squares Support Vector Machine and its Combined Learning-Selflearning in Image Recognition Task. CSIT (2022)
Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Antonina Bondarchuk, Maksym Shalamov
Kernel Online System for Fast Principal Component Analysis and its Adaptive Learning. Int. J. Comput. 20 (2) (2021)
Yevgeniy V. Bodyanskiy, Olha Chala
Generalized Neo-Fuzzy-Neuron with Membership Functions of Special Type in Medical Diagnostics. IDDM (2021)
Yevgeniy V. Bodyanskiy, Nonna Kulishova, Olha Chala
Neo-Fuzzy System With Special Type Membership Functions Adaptation and Fast Tuning Of Synaptic Weights In Emotion Recognition Task. IntSol (2021)
Yevgeniy V. Bodyanskiy, Alina Shafronenko, Iryna Klymova
Adaptive Recovery of Distorted Data Based on Credibilistic Fuzzy Clustering Approach. COLINS (2021)
Bohdan Bilonoh, Yevgeniy V. Bodyanskiy, Bohdan Kolchygin, Sergii Mashtalir
Tunable Activation Functions for Deep Neural Networks. ISDMCI (2021)
Alina Shafronenko, Yevgeniy V. Bodyanskiy, Irina Pliss, Klymova Irina
Online Credibilistic Fuzzy Clustering Method Based on Cauchy Density Distribution Function. ACIT (2021)
Yevgeniy V. Bodyanskiy, Alina Shafronenko, Iryna Klymova, Vladyslav Polyvoda
Robust Recurrent Credibilistic Modification of the Gustafson - Kessel Algorithm. ISDMCI (2021)
Yevgeniy V. Bodyanskiy, Nonna Kulishova
Multidimensional Neuro-fuzzy System and Fuzzy Coding for a Constant Length Facial Landmark Set Formation. IDAACS (2021)
Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Oleksandr Zeleniy
Adaptive Learning of Evolving Hyper Basis Function Neural Network. CMIS (2021)
Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Oleksandr Hontsa, Oleksandr Zeleniy
Convolutional hyper basis function neural network and its online learning in the image recognition task. IntelITSIS (2021)
Yevgeniy V. Bodyanskiy, Olha Chala, Anastasiia Deineko, Iryna Pliss
Fast Image Recognition Using Double Hyper Basis Function Neural Network and Its Combined Learning. CSIT (1) (2021)
Alina Albasova, Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss
2-D Neural Network Based on M-neurons and its Learning. ACIT (2021)
Alina Shafronenko, Yevgeniy V. Bodyanskiy
Adaptive fuzzy clustering approach based on evolutionary cat swarm optimization. CMIS (2020)
Nonna Kulishova, Yevgeniy V. Bodyanskiy, Volodymyr Timofeyev
The Fast Image Recognition System Based on Neuro-Fuzzy Units and its Online Learning for Data Stream Mining Tasks. DSMP (2020)
Dmytro Uzlov, Sergiy Popov, Oleksii Vlasov, Yevgeniy V. Bodyanskiy
Adaptive Matrix Model for a Crime Forecasting Task. DSMP (2020)
Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss, Sergiy Popov
Evolving Neo-Fuzzy System for Distorted Data Online Processing. ACIT (2020)
Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Klymova, Olexii Holovin
Online credibilistic fuzzy clustering of data using membership functions of special type. CMIS (2020)
Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala
Probabilistic Neuro-Fuzzy System in Medical Diagnostic Task and its Lazy Learning-Selflearning. IDDM (2020)
Anastasiia Deineko, Yevgeniy V. Bodyanskiy, Filip Brodetskyi, Danylo Kosmin
Adaptive Least-Squares Support Vector Machine and Its Online Learning. ICTES (2020)
Yevgeniy V. Bodyanskiy, Tymofii Antonenko
Deep Neo-Fuzzy Neural Network and its Accelerated Learning. DSMP (2020)
Yevgeniy V. Bodyanskiy, Olha Chala, Iryna Pliss, Anastasiia Deineko
Adaptive Probabilistic Neural Network With Fuzzy Inference And Its Online Learning. CSIT (1) (2020)
Yevgeniy V. Bodyanskiy, Anastasiia Pirus, Anastasiia Deineko
Multilayer Radial-basis Function Network and its Learning. CSIT (1) (2020)
Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala
Adaptive Learning of Probabilistic Neural Network in Situation of Overlapping Classes in Classification Task. CSIT (2020)
Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala, Anna Nortsova
Matrix Fuzzy-Probabilistic Neural Network in Image Recognition Task. DSMP (2020)
Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala
Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning. ACIT (2020)
Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, Dmytro Peleshko
A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting. Data 4 (3) (2019)
Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss, Kateryna Patlan
Fuzzy Clusterization of Distorted by Missing Observations Data Sets Using Evolutionary Optimization. ACIT (2019)
Yevgeniy V. Bodyanskiy, Olena O. Boiko, Iryna Pliss, Valentyna Volkova
2D-Deep Neural Network and Its Online Rapid Learning. IDAACS (2019)
Yevgeniy V. Bodyanskiy, Alina Shafronenko, Diana Rudenko
Online Neuro Fuzzy Clustering of Data with Omissions and Outliers based on Сompletion Strategy. CMIS (2019)
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko
A Hybrid Cascade Neuro-Fuzzy Network with Pools of Extended Neo-Fuzzy Neurons and its Deep Learning. Int. J. Appl. Math. Comput. Sci. 29 (3) (2019)
Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Valeriia Slepanska
Formal Neuron Based on Adaptive Parametric Rectified Linear Activation Function and its Learning. DCSMart (2019)
Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala
Online Hybrid Probabilistic-Fuzzy Clustering in Medical Data Mining Tasks. IDDM (2019)
Yevgeniy V. Bodyanskiy, Yuriy P. Zaychenko, Nonna Kulishova, Galib Hamidov
Spline-Orthogonal Extended Neo-Fuzzy Neuron. CISP-BMEI (2019)
Nonna Kulishova, Yevgeniy V. Bodyanskiy, Iryna Pliss
The Extended Generalized Neo-Fuzzy Network and Its Online Learning in Image Recognition Problem. IDAACS (2019)
Iryna Perova, Polina Zhernova, Oleh Datsok, Yevgeniy V. Bodyanskiy, Olha Velychko
Recognition of Human Primitive Motions for the Fitness Trackers. ISDMCI (2019)
Yevgeniy V. Bodyanskiy, Alina Shafronenko, Sergii Mashtalir
Online Robust Fuzzy Clustering of Data with Omissions Using Similarity Measure of Special Type. ISDMCI (2019)
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Sergii V. Mashtalir
Fuzzy Clustering High-Dimensional Data Using Information Weighting. ICAISC (1) (2019)
Yevgeniy V. Bodyanskiy, Nonna Kulishova, Olha Chala
The Extended Multidimensional Neo-Fuzzy System and Its Fast Learning in Pattern Recognition Tasks. Data 3 (4) (2018)
Yevgeniy V. Bodyanskiy, Iryna Pliss, Daria S. Kopaliani, Olena O. Boiko
Deep 2D-Neural Network and its Fast Learning. DSMP (2018)
Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova
The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning. ACIT (2018)
Yevgeniy V. Bodyanskiy, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova
The Autoencoder Based on Generalized Neo-Fuzzy Neuron and its Fast Learning for Deep Neural Networks. DSMP (2018)
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko
A neuro-fuzzy Kohonen network for data stream possibilistic clustering and its online self-learning procedure. Appl. Soft Comput. 68 (2018)
Yevgeniy V. Bodyanskiy, Nonna Kulishova, Daria Malysheva
The Multidimensional Extended Neo-Fuzzy System and its Fast Learning for Emotions Online Recognition. DSMP (2018)
Yevgeniy V. Bodyanskiy, Anastasiia Deineko, F. M. Eze
Kernel Fuzzy Kohonen's Clustering Neural Network and It's Recursive Learning. Autom. Control. Comput. Sci. 52 (3) (2018)
Yevgeniy V. Bodyanskiy, Artem Dolotov, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova
Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions. DepCoS-RELCOMEX (2018)
Iryna Perova, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Mikolaj P. Karpinski, Pawel Rudyk
Fuzzy Clustering of Biomedical Datasets Using BSB-Neuro-Fuzzy-Model. IDDM (2018)
Iryna Pliss, Olena O. Boiko, Valentyna Volkova, Yevgeniy V. Bodyanskiy
Matrix Deep Neural Network and Its Rapid Learning in Data Science Tasks. ACIT (2018)
Yevgeniy V. Bodyanskiy, Galina Setlak, Olena Vynokurova, Iryna Pliss, Olena O. Boiko
Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning. FedCSIS (2018)
Iryna Perova, Olena Litovchenko, Yevgeniy V. Bodyanskiy, Yelizaveta Brazhnykova, Igor Zavgorodnii, Pavlo Mulesa
Medical Data-Stream Mining in the Area of Electromagnetic Radiation and Low Temperature Influence on Biological Objects. DSMP (2018)
Iryna Perova, Yevgeniy V. Bodyanskiy
Adaptive Human Machine Interaction Approach for Feature Selection-Extraction Task in Medical Data Mining. Int. J. Comput. 17 (2018)
Polina Ye. Zhernova, Anastasiia O. Deineko, Yevgeniy V. Bodyanskiy, Vladyslav O. Riepin
Adaptive Kernel Data Streams Clustering Based on Neural Networks Ensembles in Conditions of Uncertainty About Amount and Shapes of Clusters. DSMP (2018)
Alina Shafronenko, Artem Dolotov, Yevgeniy V. Bodyanskiy, Galina Setlak
Fuzzy Clustering of Distorted Observations Based on Optimal Expansion Using Partial Distances. DSMP (2018)
Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Yana V. Kutsenko
On-line kernel clustering based on the general regression neural network and T. Kohonen's self-organizing map. Autom. Control. Comput. Sci. 51 (1) (2017)
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova
Fuzzy Clustering Data Given on the Ordinal Scale Based on Membership and Likelihood Functions Sharing. CoRR (2017)
Yevgeniy V. Bodyanskiy, Olena O. Boiko, Yuriy P. Zaychenko, Galib Hamidov
Evolving GMDH-neuro-fuzzy system with small number of tuning parameters. ICNC-FSKD (2017)
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Dmytro Peleshko, Pavlo Mulesa
Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning. Neurocomputing 230 (2017)
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
An evolving connectionist system for data stream fuzzy clustering and its online learning. Neurocomputing 262 (2017)
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych
Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning. DepCoS-RELCOMEX (2017)
Galina Setlak, Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova, Dmytro Peleshko, Illya Kobylin
Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network. EUSFLAT/IWIFSGN (3) (2017)
Iryna Perova, Yevgeniy V. Bodyanskiy
Fast Medical Diagnostics using Autoassociative Neuro-fuzzy Memory. Int. J. Comput. 16 (2017)
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova
Fuzzy Clustering Data Given in the Ordinal Scale. CoRR (2017)
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko
A hybrid growing ENFN-based neuro-fuzzy system and its rapid deep learning. CSIT (1) (2017)
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Anastasiia O. Deineko
An Evolving Neuro-Fuzzy System with Online Learning/Self-learning. CoRR (2016)
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych
Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning. DepCoS-RELCOMEX (2016)
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko
An Ensemble of Adaptive Neuro-Fuzzy Kohonen Networks for Online Data Stream Fuzzy Clustering. CoRR (2016)
Galina Setlak, Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss
Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks. FedCSIS (2016)
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
A Multidimensional Cascade Neuro-Fuzzy System with Neuron Pool Optimization in Each Cascade. CoRR (2016)
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko
A deep cascade neuro-fuzzy system for high-dimensional online fuzzy clustering. DSMP (2016)
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
Adaptive learning of an evolving cascade neo-fuzzy system in data stream mining tasks. Evol. Syst. 7 (2) (2016)
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
An Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm. CoRR (2016)
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko
A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering. CSIT (2016)
Yevgeniy V. Bodyanskiy, Artem Dolotov, Iryna Pliss, Mykola Malyar
A fast learning algorithm of self-learning spiking neural network. DSMP (2016)
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Galina Setlak, Pavlo Mulesa
Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks. DSMP (2016)
Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Yana V. Kutsenko, Oleksandr O. Zayika
Data streams fast EM-fuzzy clustering based on Kohonen's self-learning. DSMP (2016)
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Zdzislaw Szymanski, Illya Kobylin, Oleg Kobylin
Adaptive robust models for identification of nonstationary systems in data stream mining tasks. DSMP (2016)
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Volodymyr Savvo, Tatiana Tverdokhlib, Pavlo Mulesa
Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis. CoRR (2016)
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko
Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model. CoRR (2016)
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko
An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes. CoRR (2016)
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
A hybrid cascade neural network with an optimized pool in each cascade. Soft Comput. 19 (12) (2015)
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Anastasiia Deineko
An evolving radial basis neural network with adaptive learning of its parameters and architecture. Autom. Control. Comput. Sci. 49 (5) (2015)
Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Iryna Pliss
Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm. CSIT (2015)
Yevgeniy V. Bodyanskiy, Galina Setlak, Dmytro Peleshko, Olena Vynokurova
Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms. IDAACS (2015)
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
An evolving neuro-fuzzy system for online fuzzy clustering. CSIT (2015)
Nonna Kulishova, Yevgeniy V. Bodyanskiy
Flexible 2D membership functions for images filtering using fuzzy peer group approach. CSIT (2015)
Yevgeniy V. Bodyanskiy, Artem Dolotov, Olena Vynokurova
Evolving spiking wavelet-neuro-fuzzy self-learning system. Appl. Soft Comput. 14 (2014)
Olga Kalynychenko, Sergii Chalyi, Yevgeniy V. Bodyanskiy, Vira Golian, Nataliia Golian
Implementation of search mechanism for implicit dependences in process mining. IDAACS (2013)
Yevgeniy V. Bodyanskiy, Olena Vynokurova
Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification. Inf. Sci. 220 (2013)
Yevgeniy V. Bodyanskiy, Artem Dolotov
A Spiking Neuron Model based on the Lambert W Function. IJCCI (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yevgeniy V. Bodyanskiy