| 2024 | FNC | An Approach Towards Reducing Training Time of the Input Doubling Method via Clustering for Middle-Sized Data Analysis. | Ivan Izonin, Roman Tkachenko, Kyrylo Yemets, Michal Gregus, Yevhen Tomashy, Iryna Pliss |
| 2024 | IDDM | Artificial Intelligence in Medicine: Small Data Approach. | Ivan Izonin, Roman Tkachenko, Iryna Pliss, Yaroslav Tolstyak, Kyrylo Yemets, Olha Chala, Myroslav Havryliuk, Stphane Chrtien |
| 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 |
| 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 | 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 | IDDM | Online Hybrid Probabilistic-Fuzzy Clustering in Medical Data Mining Tasks. | Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala |
| 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 |
| 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 |
| 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 | Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm. | Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Iryna Pliss |
| 2015 | CSIT | Kernel evolving neural networks for sequential principal component analysis and its adaptive learning algorithm. | Anastasiia O. Deineko, Yana V. Kutsenko, Iryna Pliss, Maksym Shalamov |