| 2023 | CSIT | 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 |
| 2022 | CSIT | Adaptive Least-Squares Support Vector Machine and its Combined Learning-Selflearning in Image Recognition Task. | Yevgeniy V. Bodyanskiy, Sergiy Popov, Filip Brodetskyi, Olha Chala |
| 2022 | IDDM | 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 |
| 2021 | CSIT | Fast Image Recognition Using Double Hyper Basis Function Neural Network and Its Combined Learning. | Yevgeniy V. Bodyanskiy, Olha Chala, Anastasiia O. Deineko, Iryna Pliss |
| 2021 | IDDM | Generalized Neo-Fuzzy-Neuron with Membership Functions of Special Type in Medical Diagnostics. | Yevgeniy V. Bodyanskiy, Olha Chala |
| 2020 | CSIT | Adaptive Probabilistic Neural Network With Fuzzy Inference And Its Online Learning. | Yevgeniy V. Bodyanskiy, Olha Chala, Iryna Pliss, Anastasiia O. Deineko |
| 2020 | CSIT | Adaptive Learning of Probabilistic Neural Network in Situation of Overlapping Classes in Classification Task. | Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala |
| 2020 | CSIT | Multilayer Radial-basis Function Network and its Learning. | Yevgeniy V. Bodyanskiy, Anastasiia Pirus, Anastasiia O. Deineko |
| 2020 | IDDM | Probabilistic Neuro-Fuzzy System in Medical Diagnostic Task and its Lazy Learning-Selflearning. | Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala |
| 2019 | ICAISC | Fuzzy Clustering High-Dimensional Data Using Information Weighting. | Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Sergii V. Mashtalir |
| 2019 | IDDM | Online Hybrid Probabilistic-Fuzzy Clustering in Medical Data Mining Tasks. | Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala |
| 2018 | DEPCoS | Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions. | Yevgeniy V. Bodyanskiy, Artem Dolotov, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova |
| 2018 | FedCSIS | Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning. | Yevgeniy V. Bodyanskiy, Galina Setlak, Olena Vynokurova, Iryna Pliss, Olena O. Boiko |
| 2018 | IDDM | Fuzzy Clustering of Biomedical Datasets Using BSB-Neuro-Fuzzy-Model. | Iryna Perova, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Mikolaj P. Karpinski, Pawel Rudyk |
| 2017 | CSIT | A hybrid growing ENFN-based neuro-fuzzy system and its rapid deep learning. | Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko |
| 2017 | DEPCoS | Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning. | Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych |
| 2017 | EUSFLAT | 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 |
| 2017 | ICNC | Evolving GMDH-neuro-fuzzy system with small number of tuning parameters. | Yevgeniy V. Bodyanskiy, Olena O. Boiko, Yuriy P. Zaychenko, Galib Hamidov |
| 2016 | CSIT | A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering. | Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko |
| 2016 | DEPCoS | Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning. | Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych |
| 2016 | FedCSIS | Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks. | Galina Setlak, Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss |
| 2015 | CSIT | An evolving neuro-fuzzy system for online fuzzy clustering. | Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani |
| 2015 | CSIT | Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm. | Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Iryna Pliss |
| 2015 | CSIT | Flexible 2D membership functions for images filtering using fuzzy peer group approach. | Nonna Kulishova, Yevgeniy V. Bodyanskiy |
| 2013 | IJCCI | A Spiking Neuron Model based on the Lambert W Function. | Yevgeniy V. Bodyanskiy, Artem Dolotov |
| 2009 | ICANN | Function Decomposition Network. | Yevgeniy V. Bodyanskiy, Sergiy Popov, Mykola Titov |
| 2008 | CSR | Multilayer Neuro-fuzzy Network for Short Term Electric Load Forecasting. | Yevgeniy V. Bodyanskiy, Sergiy Popov, Taras Rybalchenko |
| 2005 | ICANN | Neuro-fuzzy Kolmogorov's Network. | Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Valeriya Poyedyntseva |
| 2005 | ICANN | Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks. | Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Irina Pliss |
| 2005 | KI | Neuro-Fuzzy Kolmogorov's Network for Time Series Prediction and Pattern Classification. | Yevgeniy V. Bodyanskiy, Vitaliy Kolodyazhniy, Peter Otto |
| 2004 | KES | Fuzzy Selection Mechanism for Multimodel Prediction. | Yevgeniy V. Bodyanskiy, Sergiy Popov |
| 2004 | KES | Fuzzy Kolmogorov's Network. | Vitaliy Kolodyazhniy, Yevgeniy V. Bodyanskiy |
| 2003 | EUSFLAT | Resource-allocating probabilistic neuro-fuzzy network. | Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy |
| 2003 | EUSFLAT | An adaptive learning algorithm for a neo fuzzy neuron. | Yevgeniy V. Bodyanskiy, Illya Kokshenev, Vitaliy Kolodyazhniy |
| 2003 | KES | Probabilistic Neuro-fuzzy Network with Non-conventional Activation Functions. | Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Jrgen Wernstedt |
| 2003 | KES | An Optimal Algorithm for Combining Multivariate Forecasts in Hybrid Systems. | Yevgeniy V. Bodyanskiy, Peter Otto, Irina Pliss, Sergiy Popov |