| 2026 | ICCS | Evaluating the Effectiveness and Stability of the Constrained Hybrid Metaheuristic Algorithm in Probabilistic Neural Networks Training. | Szymon Kucharczyk, Piotr A. Kowalski, Jacek Mandziuk |
| 2023 | IJCNN | Feature selection for regression tasks base on explainable artificial intelligence procedures. | Piotr A. Kowalski, Maciej Walczak |
| 2022 | IJCNN | Deep Learning for Porous Media Classification Based on Micro-CT Images. | Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki, Henryk Czachor |
| 2022 | IJCNN | Machine learning techniques for explaining air pollution prediction. | Maciej Kusy, Piotr A. Kowalski, Marcin Szwagrzyk, Aleksander Konior |
| 2021 | ICCS | Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions. | Szymon Lukasik, Andrzej Michalowski, Piotr A. Kowalski, Amir H. Gandomi |
| 2020 | IJCNN | Probabilistic Neural Network - parameters adjustment in classification task. | Piotr A. Kowalski, Maciej Kusy, Szymon Kubasiak, Szymon Lukasik |
| 2019 | CoDIT | Crow Search Algorithm for Continuous Optimization Tasks. | Piotr A. Kowalski, Krystian Franus, Szymon Lukasik |
| 2016 | CEC | Clustering using flower pollination algorithm and Calinski-Harabasz index. | Szymon Lukasik, Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki |
| 2015 | FedCSIS | The column-oriented database partitioning optimization based on the natural computing algorithms. | Artur Nowosielski, Piotr A. Kowalski, Piotr Kulczycki |
| 2014 | AIMSA | Neural Classification for Interval Information. | Piotr A. Kowalski, Piotr Kulczycki |
| 2013 | ICAISC | Evolutionary Strategy for the Fuzzy Flip-Flop Neural Networks Supervised Learning Procedure. | Piotr A. Kowalski |
| 2010 | AIMSA | Data Sample Reduction for Classification of Interval Information Using Neural Network Sensitivity Analysis. | Piotr A. Kowalski, Piotr Kulczycki |