Krawczyk, Bartosz

15 publications

TMLR 2026 Holistic Continual Learning Under Concept Drift with Adaptive Memory Realignment Alif Ashrafee, Jędrzej Kozal, Michał Woźniak, Bartosz Krawczyk

MLJ 2024 A Survey on Learning from Imbalanced Data Streams: Taxonomy, Challenges, Empirical Study, and Reproducible Experimental Framework Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano

CVPRW 2024 Class-Incremental Mixture of Gaussians for Deep Continual Learning Lukasz Korycki, Bartosz Krawczyk

CVPRW 2024 Continual Learning with Weight Interpolation Jedrzej Kozal, Jan Wasilewski, Bartosz Krawczyk, Michal Wozniak

MLJ 2024 Correction: Adversarial Concept Drift Detection Under Poisoning Attacks for Robust Data Stream Mining Lukasz Korycki, Bartosz Krawczyk

MLJ 2024 The Class Imbalance Problem in Deep Learning Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Paula Branco, Bartosz Krawczyk, Nathalie Japkowicz

MLJ 2024 Understanding Imbalanced Data: XAI & Interpretable ML Framework Damien Dablain, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla

MLJ 2023 Adversarial Concept Drift Detection Under Poisoning Attacks for Robust Data Stream Mining Lukasz Korycki, Bartosz Krawczyk

MLJ 2022 ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning on Imbalanced Drifting Data Streams Alberto Cano, Bartosz Krawczyk

CVPRW 2021 Class-Incremental Experience Replay for Continual Learning Under Concept Drift Lukasz Korycki, Bartosz Krawczyk

ECML-PKDD 2021 Streaming Decision Trees for Lifelong Learning Lukasz Korycki, Bartosz Krawczyk

MLJ 2021 Tensor Decision Trees for Continual Learning from Drifting Data Streams Bartosz Krawczyk

MLJ 2020 Kappa Updated Ensemble for Drifting Data Stream Mining Alberto Cano, Bartosz Krawczyk

IJCAI 2019 Adaptive Ensemble Active Learning for Drifting Data Stream Mining Bartosz Krawczyk, Alberto Cano

ECML-PKDD 2017 Cost-Sensitive Perceptron Decision Trees for Imbalanced Drifting Data Streams Bartosz Krawczyk, Przemyslaw Skryjomski