| Concept Drift Detection from Multi-Class Imbalanced Data Streams Ł Korycki, B Krawczyk 37th IEEE International Conference on Data Engineering (ICDE 2021), 2021 | 61 | 2021 |
| Class-Incremental Experience Replay for Continual Learning under Concept Drift Ł Korycki, B Krawczyk IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021 …, 2021 | 49 | 2021 |
| Active learning with abstaining classifiers for imbalanced drifting data streams Ł Korycki, A Cano, B Krawczyk 2019 IEEE International Conference on Big Data (Big Data 2019), 2334-2343, 2019 | 42 | 2019 |
| Adversarial concept drift detection under poisoning attacks for robust data stream mining Ł Korycki, B Krawczyk Machine Learning, 1-36, 2022 | 38 | 2022 |
| Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams Ł Korycki, B Krawczyk 2020 International Joint Conference on Neural Networks (IJCNN 2020), 1-8, 2020 | 24 | 2020 |
| Combining active learning and self-labeling for data stream mining Ł Korycki, B Krawczyk Proceedings of the 10th International Conference on Computer Recognition …, 2018 | 18 | 2018 |
| Unsupervised Drift Detector Ensembles for Data Stream Mining Ł Korycki, B Krawczyk 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 16 | 2019 |
| Streaming Decision Trees for Lifelong Learning Ł Korycki, B Krawczyk European Conference on Machine Learning (ECML PKDD 2021), 2021 | 14 | 2021 |
| Low-Dimensional Representation Learning from Imbalanced Data Streams Ł Korycki, B Krawczyk 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021), 2021 | 14 | 2021 |
| Clustering-Driven and Dynamically Diversified Ensemble for Drifting Data Streams Ł Korycki, B Krawczyk 2018 IEEE International Conference on Big Data (Big Data 2018), 1037-1044, 2018 | 6 | 2018 |
| Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams Ł Korycki, B Krawczyk Pattern Recognition, 108749, 2022 | 5 | 2022 |
| Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling Ł Korycki, B Krawczyk arXiv preprint arXiv:2112.11019, 2021 | 1 | 2021 |
| Class-Incremental Mixture of Gaussians for Deep Continual Learning Ł Korycki, B Krawczyk IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024 …, 2024 | | 2024 |
| Continual learning from stationary and non-stationary data Ł Korycki | | 2022 |
Bartosz KrawczykAssistant Professor, Center for Imaging Science, Rochester Institute of Technology, USAایمیل تأیید شده در rit.edu