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Lukasz Korycki
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Journal Articles
- 2024
- [j3]Lukasz Korycki, Bartosz Krawczyk:
Correction: Adversarial concept drift detection under poisoning attacks for robust data stream mining. Mach. Learn. 113(5): 3303-3304 (2024) - 2023
- [j2]Lukasz Korycki, Bartosz Krawczyk:
Adversarial concept drift detection under poisoning attacks for robust data stream mining. Mach. Learn. 112(10): 4013-4048 (2023) - 2022
- [j1]Lukasz Korycki, Bartosz Krawczyk:
Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. Pattern Recognit. 129: 108749 (2022)
Conference and Workshop Papers
- 2022
- [c10]Lukasz Korycki, Bartosz Krawczyk:
Class-Incremental Mixture of Gaussians for Deep Continual Learning. CVPR Workshops 2022: 4097-4106 - 2021
- [c9]Lukasz Korycki, Bartosz Krawczyk:
Class-Incremental Experience Replay for Continual Learning Under Concept Drift. CVPR Workshops 2021: 3649-3658 - [c8]Lukasz Korycki, Bartosz Krawczyk:
Concept Drift Detection from Multi-Class Imbalanced Data Streams. ICDE 2021: 1068-1079 - [c7]Lukasz Korycki, Bartosz Krawczyk:
Low-Dimensional Representation Learning from Imbalanced Data Streams. PAKDD (1) 2021: 629-641 - [c6]Lukasz Korycki, Bartosz Krawczyk:
Streaming Decision Trees for Lifelong Learning. ECML/PKDD (1) 2021: 502-518 - 2020
- [c5]Lukasz Korycki, Bartosz Krawczyk:
Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams. IJCNN 2020: 1-8 - 2019
- [c4]Lukasz Korycki, Alberto Cano, Bartosz Krawczyk:
Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. IEEE BigData 2019: 2334-2343 - [c3]Lukasz Korycki, Bartosz Krawczyk:
Unsupervised Drift Detector Ensembles for Data Stream Mining. DSAA 2019: 317-325 - 2018
- [c2]Lukasz Korycki, Bartosz Krawczyk:
Clustering-Driven and Dynamically Diversified Ensemble for Drifting Data Streams. IEEE BigData 2018: 1037-1044 - 2017
- [c1]Lukasz Korycki, Bartosz Krawczyk:
Combining Active Learning and Self-Labeling for Data Stream Mining. CORES 2017: 481-490
Informal and Other Publications
- 2023
- [i7]Lukasz Korycki, Bartosz Krawczyk:
Class-Incremental Mixture of Gaussians for Deep Continual Learning. CoRR abs/2307.04094 (2023) - 2021
- [i6]Lukasz Korycki, Bartosz Krawczyk:
Concept Drift Detection from Multi-Class Imbalanced Data Streams. CoRR abs/2104.10228 (2021) - [i5]Lukasz Korycki, Bartosz Krawczyk:
Class-Incremental Experience Replay for Continual Learning under Concept Drift. CoRR abs/2104.11861 (2021) - [i4]Lukasz Korycki, Bartosz Krawczyk:
Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling. CoRR abs/2112.11019 (2021) - 2020
- [i3]Lukasz Korycki, Bartosz Krawczyk:
Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. CoRR abs/2009.09382 (2020) - [i2]Lukasz Korycki, Bartosz Krawczyk:
Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining. CoRR abs/2009.09497 (2020) - [i1]Lukasz Korycki, Bartosz Krawczyk:
Adaptive Deep Forest for Online Learning from Drifting Data Streams. CoRR abs/2010.07340 (2020)
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last updated on 2024-10-08 21:29 CEST by the dblp team
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