Detection of NARMA-sequence order using recurrent artificiai neural networks. - Yevgeniy V. Bodyanskiy; Sergiy A. Vorobyov; Andreas Stephan (ECC, 1999)

An Adaptive Learning Algorithm for a Neuro-fuzzy Network. - Yevgeniy V. Bodyanskiy; Vitaliy Kolodyazhniy; Andreas Stephan (Fuzzy Days, 2001)

Resource-allocating probabilistic neuro-fuzzy network. - Yevgeniy V. Bodyanskiy; Yevgen Gorshkov; Vitaliy Kolodyazhniy (EUSFLAT Conf., 2003)

An adaptive learning algorithm for a neo fuzzy neuron. - Yevgeniy V. Bodyanskiy; Illya Kokshenev; Vitaliy Kolodyazhniy (EUSFLAT Conf., 2003)

A learning probabilistic neural network with fuzzy inference. - Yevgeniy V. Bodyanskiy; Yevgen Gorshkov; Vitaliy Kolodyazhniy; Jürgen Wernstedt (ICANNGA, 2003)

Probabilistic Neuro-fuzzy Network with Non-conventional Activation Functions. - Yevgeniy V. Bodyanskiy; Yevgen Gorshkov; Vitaliy Kolodyazhniy; Jürgen Wernstedt (KES, 2003)

An Optimal Algorithm for Combining Multivariate Forecasts in Hybrid Systems. - Yevgeniy V. Bodyanskiy; Peter Otto; Irina Pliss; Sergiy Popov (KES, 2003)

A new learning algorithm for a forecasting neuro-fuzzy network. - Peter Otto; Yevgeniy V. Bodyanskiy; Vitaliy Kolodyazhniy (Integr. Comput. Aided Eng., 2003)

Combined Learning Algorithm for a Self-Organizing Map with Fuzzy Inference. - Yevgeniy V. Bodyanskiy; Yevgen Gorshkov; Vitaliy Kolodyazhniy; Andreas Stephan (Fuzzy Days, 2004)

Universal Approximator Employing Neo-Fuzzy Neurons. - Vitaliy Kolodyazhniy; Yevgeniy V. Bodyanskiy; Peter Otto (Fuzzy Days, 2004)

Fuzzy Selection Mechanism for Multimodel Prediction. - Yevgeniy V. Bodyanskiy; Sergiy Popov (KES, 2004)

Fuzzy Kolmogorov's Network. - Vitaliy Kolodyazhniy; Yevgeniy V. Bodyanskiy (KES, 2004)

Neuro-fuzzy Kolmogorov's Network. - Yevgeniy V. Bodyanskiy; Yevgen Gorshkov; Vitaliy Kolodyazhniy; Valeriya Poyedyntseva (ICANN (2), 2005)

Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks. - Yevgeniy V. Bodyanskiy; Yevgen Gorshkov; Vitaliy Kolodyazhniy; Irina Pliss (ICANN (2), 2005)

Neuro-Fuzzy Kolmogorov's Network for Time Series Prediction and Pattern Classification. - Yevgeniy V. Bodyanskiy; Vitaliy Kolodyazhniy; Peter Otto (KI, 2005)

Computational Intelligence Techniques for Data Analysis. - Yevgeniy V. Bodyanskiy (Leipziger Informatik-Tage, 2005)

An adaptive learning algorithm for a wavelet neural network. - Yevgeniy V. Bodyanskiy; Nataliya Lamonova; Irina Pliss; Olena Vynokurova (Expert Syst. J. Knowl. Eng., 2005)

Neural network approach to forecasting of quasiperiodic financial time series. - Yevgeniy V. Bodyanskiy; Sergiy Popov (Eur. J. Oper. Res., 2006)

Robust Learning Algorithm for Networks of Neuro-Fuzzy Units. - Yevgeniy V. Bodyanskiy; Sergiy Popov; Mykola Titov (SCSS (1), 2008)

Multilayer Neuro-fuzzy Network for Short Term Electric Load Forecasting. - Yevgeniy V. Bodyanskiy; Sergiy Popov; Taras Rybalchenko (CSR, 2008)

Function Decomposition Network. - Yevgeniy V. Bodyanskiy; Sergiy Popov; Mykola Titov (ICANN (1), 2009)

A Multilayered Self-Learning Spiking Neural Network and its Learning Algorithm Based on 'Winner-Takes-More' Rule in Hierarchical Clustering. - Yevgeniy V. Bodyanskiy; Artem Dolotov (Sci. J. Riga Tech. Univ. Ser. Comput. Sci., 2009)

Fast Training of Neural Networks for Image Compression. - Yevgeniy V. Bodyanskiy; Paul Grimm; Sergey Mashtalir; Vladimir Vinarski (ICDM, 2010)

Autoassociative Memory Evolving System Based on Fuzzy Basis Functions. - Yevgeniy V. Bodyanskiy; Nataliya Teslenko (Sci. J. Riga Tech. Univ. Ser. Comput. Sci., 2010)

Semantic annotation of text documents using modified probabilistic neural network. - Yevgeniy V. Bodyanskiy; Olga Shubkina (IDAACS (1), 2011)

Matrix Neuro-Fuzzy Self-Organizing Clustering Network. - Yevgeniy V. Bodyanskiy; Valentyna Volkova; Mark Skuratov (Sci. J. Riga Tech. Univ. Ser. Comput. Sci., 2011)

Modified Probabilistic Neuro-fuzzy Network for Text Documents Processing. - Yevgeniy V. Bodyanskiy; Irina Pliss; Valentyna Volkova (Int. J. Comput., 2012)

Implementation of search mechanism for implicit dependences in process mining. - Olga Kalynychenko; Sergii Chalyi; Yevgeniy V. Bodyanskiy; Vira Golian; Nataliia Golian (IDAACS, 2013)

A Spiking Neuron Model based on the Lambert W Function. - Yevgeniy V. Bodyanskiy; Artem Dolotov (IJCCI, 2013)

Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification. - Yevgeniy V. Bodyanskiy; Olena Vynokurova (Inf. Sci., 2013)

Evolving spiking wavelet-neuro-fuzzy self-learning system. - Yevgeniy V. Bodyanskiy; Artem Dolotov; Olena Vynokurova (Appl. Soft Comput., 2014)

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

Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Galina Setlak; Iryna Pliss (CSIT, 2015)

Flexible 2D membership functions for images filtering using fuzzy peer group approach. - Nonna Kulishova; Yevgeniy V. Bodyanskiy (CSIT, 2015)

Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms. - Yevgeniy V. Bodyanskiy; Galina Setlak; Dmytro Peleshko; Olena Vynokurova (IDAACS, 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)

Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Iryna Pliss; Dmytro Peleshko; Yuriy Rashkevych (DepCoS-RELCOMEX, 2016)

Data streams fast EM-fuzzy clustering based on Kohonen's self-learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Yana V. Kutsenko; Oleksandr O. Zayika (DSMP, 2016)

A fast learning algorithm of self-learning spiking neural network. - Yevgeniy V. Bodyanskiy; Artem Dolotov; Iryna Pliss; Mykola Malyar (DSMP, 2016)

Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Iryna Pliss; Galina Setlak; Pavlo Mulesa (DSMP, 2016)

Adaptive robust models for identification of nonstationary systems in data stream mining tasks. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Zdzislaw Szymanski; Illya Kobylin; Oleg Kobylin (DSMP, 2016)

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

Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks. - Galina Setlak; Yevgeniy V. Bodyanskiy; Olena Vynokurova; Iryna Pliss (FedCSIS, 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)

Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Volodymyr Savvo; Tatiana Tverdokhlib; Pavlo Mulesa (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)

Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Iryna Pliss; Dmytro Peleshko; Yuriy Rashkevych (DepCoS-RELCOMEX, 2017)

Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network. - Galina Setlak; Yevgeniy V. Bodyanskiy; Iryna Pliss; Olena Vynokurova; Dmytro Peleshko; Illya Kobylin (EUSFLAT/IWIFSGN (3), 2017)

Evolving GMDH-neuro-fuzzy system with small number of tuning parameters. - Yevgeniy V. Bodyanskiy; Olena O. Boiko; Yuriy P. Zaychenko; Galib Hamidov (ICNC-FSKD, 2017)

On-line kernel clustering based on the general regression neural network and T. Kohonen's self-organizing map. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Yana V. Kutsenko (Autom. Control. Comput. Sci., 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)

Fast Medical Diagnostics using Autoassociative Neuro-fuzzy Memory. - Iryna Perova; Yevgeniy V. Bodyanskiy (Int. J. Comput., 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)

Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Galina Setlak; Dmytro Peleshko; Pavlo Mulesa (Neurocomputing, 2017)

The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning. - Yevgeniy V. Bodyanskiy; Iryna Pliss; Olena Vynokurova (ACIT, 2018)

Matrix Deep Neural Network and Its Rapid Learning in Data Science Tasks. - Iryna Pliss; Olena O. Boiko; Valentyna Volkova; Yevgeniy V. Bodyanskiy (ACIT, 2018)

Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions. - Yevgeniy V. Bodyanskiy; Artem Dolotov; Dmytro Peleshko; Yuriy Rashkevych; Olena Vynokurova (DepCoS-RELCOMEX, 2018)

The Multidimensional Extended Neo-Fuzzy System and its Fast Learning for Emotions Online Recognition. - Yevgeniy V. Bodyanskiy; Nonna Kulishova; Daria Malysheva (DSMP, 2018)

Deep 2D-Neural Network and its Fast Learning. - Yevgeniy V. Bodyanskiy; Iryna Pliss; Daria S. Kopaliani; Olena O. Boiko (DSMP, 2018)

The Autoencoder Based on Generalized Neo-Fuzzy Neuron and its Fast Learning for Deep Neural Networks. - Yevgeniy V. Bodyanskiy; Dmytro Peleshko; Yuriy Rashkevych; Olena Vynokurova (DSMP, 2018)

Medical Data-Stream Mining in the Area of Electromagnetic Radiation and Low Temperature Influence on Biological Objects. - Iryna Perova; Olena Litovchenko; Yevgeniy V. Bodyanskiy; Yelizaveta Brazhnykova; Igor Zavgorodnii; Pavlo Mulesa (DSMP, 2018)

Fuzzy Clustering of Distorted Observations Based on Optimal Expansion Using Partial Distances. - Alina Shafronenko; Artem Dolotov; Yevgeniy V. Bodyanskiy; Galina Setlak (DSMP, 2018)

Adaptive Kernel Data Streams Clustering Based on Neural Networks Ensembles in Conditions of Uncertainty About Amount and Shapes of Clusters. - Polina Ye. Zhernova; Anastasiia O. Deineko; Yevgeniy V. Bodyanskiy; Vladyslav O. Riepin (DSMP, 2018)

Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning. - Yevgeniy V. Bodyanskiy; Galina Setlak; Olena Vynokurova; Iryna Pliss; Olena O. Boiko (FedCSIS, 2018)

Fuzzy Clustering of Biomedical Datasets Using BSB-Neuro-Fuzzy-Model. - Iryna Perova; Yevgeniy V. Bodyanskiy; Anatoliy Sachenko; Mikolaj P. Karpinski; Pawel Rudyk (IDDM, 2018)

Kernel Fuzzy Kohonen's Clustering Neural Network and It's Recursive Learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; F. M. Eze (Autom. Control. Comput. Sci., 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)

The Extended Multidimensional Neo-Fuzzy System and Its Fast Learning in Pattern Recognition Tasks. - Yevgeniy V. Bodyanskiy; Nonna Kulishova; Olha Chala (Data, 2018)

Adaptive Human Machine Interaction Approach for Feature Selection-Extraction Task in Medical Data Mining. - Iryna Perova; Yevgeniy V. Bodyanskiy (Int. J. Comput., 2018)

Fuzzy Clusterization of Distorted by Missing Observations Data Sets Using Evolutionary Optimization. - Alina Shafronenko; Yevgeniy V. Bodyanskiy; Iryna Pliss; Kateryna Patlan (ACIT, 2019)

Spline-Orthogonal Extended Neo-Fuzzy Neuron. - Yevgeniy V. Bodyanskiy; Yuriy P. Zaychenko; Nonna Kulishova; Galib Hamidov (CISP-BMEI, 2019)

Online Neuro Fuzzy Clustering of Data with Omissions and Outliers based on Сompletion Strategy. - Yevgeniy V. Bodyanskiy; Alina Shafronenko; Diana Rudenko (CMIS, 2019)

Formal Neuron Based on Adaptive Parametric Rectified Linear Activation Function and its Learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Valeriia Slepanska (DCSMart, 2019)

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

2D-Deep Neural Network and Its Online Rapid Learning. - Yevgeniy V. Bodyanskiy; Olena O. Boiko; Iryna Pliss; Valentyna Volkova (IDAACS, 2019)

The Extended Generalized Neo-Fuzzy Network and Its Online Learning in Image Recognition Problem. - Nonna Kulishova; Yevgeniy V. Bodyanskiy; Iryna Pliss (IDAACS, 2019)

Online Hybrid Probabilistic-Fuzzy Clustering in Medical Data Mining Tasks. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala (IDDM, 2019)

Online Robust Fuzzy Clustering of Data with Omissions Using Similarity Measure of Special Type. - Yevgeniy V. Bodyanskiy; Alina Shafronenko; Sergii Mashtalir (ISDMCI, 2019)

Recognition of Human Primitive Motions for the Fitness Trackers. - Iryna Perova; Polina Zhernova; Oleh Datsok; Yevgeniy V. Bodyanskiy; Olha Velychko (ISDMCI, 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)

A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting. - Alexander Vlasenko; Nataliia Vlasenko; Olena Vynokurova; Yevgeniy V. Bodyanskiy; Dmytro Peleshko (Data, 2019)

Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala (ACIT, 2020)

Evolving Neo-Fuzzy System for Distorted Data Online Processing. - Alina Shafronenko; Yevgeniy V. Bodyanskiy; Iryna Pliss; Sergiy Popov (ACIT, 2020)

Adaptive fuzzy clustering approach based on evolutionary cat swarm optimization. - Alina Shafronenko; Yevgeniy V. Bodyanskiy (CMIS, 2020)

Online credibilistic fuzzy clustering of data using membership functions of special type. - Alina Shafronenko; Yevgeniy V. Bodyanskiy; Iryna Klymova; Olexii Holovin (CMIS, 2020)

Adaptive Probabilistic Neural Network With Fuzzy Inference And Its Online Learning. - Yevgeniy V. Bodyanskiy; Olha Chala; Iryna Pliss; Anastasiia O. Deineko (CSIT (1), 2020)

Adaptive Learning of Probabilistic Neural Network in Situation of Overlapping Classes in Classification Task. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala (CSIT, 2020)

Multilayer Radial-basis Function Network and its Learning. - Yevgeniy V. Bodyanskiy; Anastasiia Pirus; Anastasiia O. Deineko (CSIT (1), 2020)

Deep Neo-Fuzzy Neural Network and its Accelerated Learning. - Yevgeniy V. Bodyanskiy; Tymofii Antonenko (DSMP, 2020)

Matrix Fuzzy-Probabilistic Neural Network in Image Recognition Task. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala; Anna Nortsova (DSMP, 2020)

The Fast Image Recognition System Based on Neuro-Fuzzy Units and its Online Learning for Data Stream Mining Tasks. - Nonna Kulishova; Yevgeniy V. Bodyanskiy; Volodymyr Timofeyev (DSMP, 2020)

Adaptive Matrix Model for a Crime Forecasting Task. - Dmytro Uzlov; Sergiy Popov; Oleksii Vlasov; Yevgeniy V. Bodyanskiy (DSMP, 2020)

Adaptive Least-Squares Support Vector Machine and Its Online Learning. - Anastasiia O. Deineko; Yevgeniy V. Bodyanskiy; Filip Brodetskyi; Danylo Kosmin (ICTES, 2020)

Probabilistic Neuro-Fuzzy System in Medical Diagnostic Task and its Lazy Learning-Selflearning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala (IDDM, 2020)

2-D Neural Network Based on M-neurons and its Learning. - Alina Albasova; Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss (ACIT, 2021)

Online Credibilistic Fuzzy Clustering Method Based on Cauchy Density Distribution Function. - Alina Shafronenko; Yevgeniy V. Bodyanskiy; Irina Pliss; Klymova Irina (ACIT, 2021)

Adaptive Learning of Evolving Hyper Basis Function Neural Network. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Oleksandr Zeleniy (CMIS, 2021)

Adaptive Recovery of Distorted Data Based on Credibilistic Fuzzy Clustering Approach. - Yevgeniy V. Bodyanskiy; Alina Shafronenko; Iryna Klymova (COLINS, 2021)

Fast Image Recognition Using Double Hyper Basis Function Neural Network and Its Combined Learning. - Yevgeniy V. Bodyanskiy; Olha Chala; Anastasiia O. Deineko; Iryna Pliss (CSIT (1), 2021)

Multidimensional Neuro-fuzzy System and Fuzzy Coding for a Constant Length Facial Landmark Set Formation. - Yevgeniy V. Bodyanskiy; Nonna Kulishova (IDAACS, 2021)

Generalized Neo-Fuzzy-Neuron with Membership Functions of Special Type in Medical Diagnostics. - Yevgeniy V. Bodyanskiy; Olha Chala (IDDM, 2021)

Convolutional hyper basis function neural network and its online learning in the image recognition task. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Oleksandr Hontsa; Oleksandr Zeleniy (IntelITSIS, 2021)

Neo-Fuzzy System With Special Type Membership Functions Adaptation and Fast Tuning Of Synaptic Weights In Emotion Recognition Task. - Yevgeniy V. Bodyanskiy; Nonna Kulishova; Olha Chala (IntSol, 2021)

Tunable Activation Functions for Deep Neural Networks. - Bohdan Bilonoh; Yevgeniy V. Bodyanskiy; Bohdan Kolchygin; Sergii Mashtalir (ISDMCI, 2021)

Robust Recurrent Credibilistic Modification of the Gustafson - Kessel Algorithm. - Yevgeniy V. Bodyanskiy; Alina Shafronenko; Iryna Klymova; Vladyslav Polyvoda (ISDMCI, 2021)

Kernel Online System for Fast Principal Component Analysis and its Adaptive Learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Antonina Bondarchuk; Maksym Shalamov (Int. J. Comput., 2021)

Adaptive Least-Squares Support Vector Machine and its Combined Learning-Selflearning in Image Recognition Task. - Yevgeniy V. Bodyanskiy; Sergiy Popov; Filip Brodetskyi; Olha Chala (CSIT, 2022)

Simple Neuro-Fuzzy System with Combined Learning for Pattern Recognition under Conditions of Short Training Set in Medical Diagnostics Tasks. - Yevgeniy V. Bodyanskiy; Olha Chala; Ivan Izonin; Sergiy Popov (IDDM, 2022)

Methods For Increasing The Reliability Of The Functioning Of Pipeline Systems. - Sergey Dyadun; Yevgeniy V. Bodyanskiy; Kyryl Korobchynskyi; Oleg Kobylin (ProfIT AI, 2022)

Deep Neural Network with Adaptive Parametric Rectified Linear Units and its Fast Learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Viktoria Skorik; Filip Brodetskyi (Int. J. Comput., 2022)

Stacking Neuro-Neo-Fuzzy System for Pattern Recognition and Its Online Learning. - Yevgeniy V. Bodyanskiy; Olha Chala (ACIT, 2023)

Credibilistic Fuzzy Clustering Method Based on Evolutionary Approach of Crazy Wolfs in Online Mode. - Alina Shafronenko; Yevgeniy V. Bodyanskiy; Iryna Pliss (CMIS, 2023)

CLIPTraVeLGAN for Semantically Robust Unpaired Image Translation. - Yevgeniy V. Bodyanskiy; Nataliya Ryabova; Roman Lavrynenko (COLINS (1), 2023)

Application of Hybrid Neural Networks based on bagging and Group Method of Data Handling for forecasting. - Yevgeniy V. Bodyanskiy; Oleksii Kuzmenko; Helen Zaichenko; Yuriy P. Zaychenko (CSIT, 2023)

Using Adaptive Activation Functions in Pre-Trained Artificial Neural Network Models. - Yevgeniy V. Bodyanskiy; Serhii Kostiuk (ICST, 2023)

Matrix Hyper-Basis Function Neural Network and Its Online Learning. - Olha Chala; Yevgeniy V. Bodyanskiy; Anatoliy Sachenko; Maciej Dobrowolski (IDAACS, 2023)

An Intelligent Method of Prediction the Demand for Goods/Services in Crisis Conditions. - Khrystyna Lipianina-Honcharenko; Yevgeniy V. Bodyanskiy; Anatoliy Sachenko; Ivan Kit; Tetiana Podchasova; Taras Lendiuk (ProfIT AI, 2023)

Learnable Extended Activation Function for Deep Neural Networks. - Yevgeniy V. Bodyanskiy; Serhii Kostiuk (Int. J. Comput., 2023)

An improved ANN-based global-local approximation for small medical data analysis. - Ivan Izonin; Roman Tkachenko; Roman Bliakhar; Michal Kovác; Yevgeniy V. Bodyanskiy; Olha Chala (EAI Endorsed Trans. Pervasive Health Technol., 2023)

Neuro-Fuzzy System with Adaptive Membership-Activation Functions for Pattern Recognition. - Olha Chala; Ivan Izonin; Iryna Pliss; Yevgeniy V. Bodyanskiy (ACIT, 2024)

Online Stacking Credibilistic Fuzzy Clustering for Data Stream Mining. - Yevgeniy V. Bodyanskiy; Alina Shafronenko; Diana Rudenko; Oleksii Tanianskyi (CMIS, 2024)

Online Image Segmentation using Сredibilistic Fuzzy Clustering. - Yevgeniy V. Bodyanskiy; Alina Shafronenko; Diana Rudenko; Anton Plubiekhin; Dmytro Frolov (COLINS (1), 2024)

Probabilistic Neuro-Fuzzy System Based on Greed Partitioning Input Space and It's Fast Combined Learning. - Olha Chala; Anatoliy Sachenko; Yevgeniy V. Bodyanskiy; Leonid Bytsyura; Agnieszka Molga (IS, 2024)

Adaptive Bagging of Hybrid Systems of Computational Intelligence Using Metamodel Online Optimal Learning. - Yevgeniy V. Bodyanskiy; Olha Chala; Iryna Pliss; Sergiy Popov (ISDMCI (2), 2024)

Adaptive Piece-Wise Linear Squashing Activation Function for Deep Neural Networks. - Yevgeniy V. Bodyanskiy; Nonna Kulishova; Mykhailo Petrykin; Maxim Kulishov (ProfIT AI, 2024)

OLTW-TEC: online learning with sliding windows for text classifier ensembles. - Khrystyna Lipianina-Honcharenko; Yevgeniy V. Bodyanskiy; Nataliia Kustra; Andrii Ivasechko (Frontiers Artif. Intell., 2024)

Evolving Neo-Fuzzy System with Adaptive Learning for Online Forecasting of Non-stationary Processes. - Yevgeniy V. Bodyanskiy; Oksana Mulesa; Volodymyr Sabadosh; Petro Horvat (CMIS, 2025)

Adaptive neo-fuzzy bagging metamodel and its fast learning. - Yevgeniy V. Bodyanskiy; Ivan Izonin; Iryna Pliss; Olha Chala; Sergiy Popov (ISW-CoLInS, 2025)

Improving GEC based on combining algorithmic approach and sequence-to-edit model. - Yevgeniy V. Bodyanskiy; Maksym Kharchenko; Nataliya Ryabova (CLW-CoLInS, 2025)