| Employing chunk size adaptation to overcome concept drift J Kozal, F Guzy, M Woźniak arXiv preprint arXiv:2110.12881, 2021 | 5 | 2021 |
| Increasing depth of neural networks for life-long learning J Kozal, M Wozniak Information Fusion 98, 101829, 2023 | 2 | 2023 |
| Combining Self-labeling with Selective Sampling J Kozal, M Woźniak 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 70-79, 2023 | 1 | 2023 |
| Imbalance Reduction Techniques Applied to ECG Classification Problem J Kozal, P Ksieniewicz Intelligent Data Engineering and Automated Learning -- IDEAL 2019, 323-331, 2019 | 1 | 2019 |
| Continual Learning with Weight Interpolation J Kozal, J Wasilewski, B Krawczyk, M Woźniak arXiv preprint arXiv:2404.04002, 2024 | | 2024 |
| Defending Network IDS against Adversarial Examples with Continual Learning J Kozal, J Zwolińska, M Klonowski, M Woźniak 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 60-69, 2023 | | 2023 |
| A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism R Svoboda, S Basterrech, J Kozal, J Platoš, M Woźniak arXiv preprint arXiv:2309.03720, 2023 | | 2023 |
| Feature Integration Strategies for Multilingual Fake News Classification J Kozal, M Leś, P Zyblewski, P Ksieniewicz, M Woźniak 2022 IEEE International Conference on Big Data (Big Data), 5049-5058, 2022 | | 2022 |
