Jedrzej Kozal

According to our database, Jedrzej Kozal authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Holistic Continual Learning under Concept Drift with Adaptive Memory Realignment.

Alif Ashrafee, Jedrzej Kozal, Michal Wozniak, Bartosz Krawczyk

Trans. Mach. Learn. Res., 2026

2025

What is the role of memorization in Continual Learning?

Jedrzej Kozal, Jan Wasilewski, Alif Ashrafee, Bartosz Krawczyk, Michal Wozniak

CoRR, May, 2025

2024

A natural gas consumption forecasting system for continual learning scenarios based on Hoeffding trees with change point detection mechanism.

Radek Svoboda, Sebastián Basterrech, Jedrzej Kozal, Jan Platos, Michal Wozniak

Knowl. Based Syst., 2024

Continual Learning with Weight Interpolation.

Jedrzej Kozal, Jan Wasilewski, Bartosz Krawczyk, Michal Wozniak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Increasing depth of neural networks for life-long learning.

Jedrzej Kozal, Michal Wozniak

Inf. Fusion, 2023

Defending Network IDS against Adversarial Examples with Continual Learning.

Jedrzej Kozal, Justyna Zwolinska, Marek Klonowski, Michal Wozniak

Proceedings of the IEEE International Conference on Data Mining, 2023

Combining Self-labeling with Selective Sampling.

Jedrzej Kozal, Michal Wozniak

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Employing chunk size adaptation to overcome concept drift.

Jedrzej Kozal, Filip Guzy, Michal Wozniak

J. Univers. Comput. Sci., 2022

Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification.

Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak

CoRR, 2022

Feature Integration Strategies for Multilingual Fake News Classification.

Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak

Proceedings of the IEEE International Conference on Big Data, 2022

2019

Imbalance Reduction Techniques Applied to ECG Classification Problem.

Jedrzej Kozal, Pawel Ksieniewicz

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019