| 2024 | ICDM | Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification. | Pawel Zyblewski, Leandro L. Minku |
| 2022 | IJCNN | Imbalanced Data Stream Classification Assisted by Prior Probability Estimation. | Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz |
| 2021 | ICAISC | Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access. | Pawel Zyblewski, Michal Wozniak |
| 2021 | ICCS | Analysis of Variance Application in the Construction of Classifier Ensemble Based on Optimal Feature Subset for the Task of Supporting Glaucoma Diagnosis. | Dominika Sulot, Pawel Zyblewski, Pawel Ksieniewicz |
| 2021 | ICCS | Clustering-Based Ensemble Pruning in the Imbalanced Data Classification. | Pawel Zyblewski |
| 2021 | IJCNN | Prior Probability Estimation in Dynamically Imbalanced Data Streams. | Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz |
| 2020 | ICAISC | Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification. | Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak |
| 2020 | ICCS | Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance. | Pawel Zyblewski, Michal Wozniak |
| 2020 | IJCNN | Fake News Detection from Data Streams. | Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak |
| 2019 | HAIS | Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity. | Pawel Zyblewski, Michal Wozniak |
| 2019 | ICAISC | Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble. | Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak |