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Łukasz Korycki
Łukasz Korycki
Research Scientist at Meta, Ph.D. at VCU
Verified email at vcu.edu
Title
Cited by
Cited by
Year
Concept Drift Detection from Multi-Class Imbalanced Data Streams
Ł Korycki, B Krawczyk
37th IEEE International Conference on Data Engineering (ICDE 2021), 2021
422021
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
382021
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
352019
Adversarial concept drift detection under poisoning attacks for robust data stream mining
Ł Korycki, B Krawczyk
Machine Learning, 1-36, 2022
262022
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
232020
Combining active learning and self-labeling for data stream mining
Ł Korycki, B Krawczyk
Proceedings of the 10th International Conference on Computer Recognition …, 2018
172018
Unsupervised Drift Detector Ensembles for Data Stream Mining
Ł Korycki, B Krawczyk
2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019
152019
Streaming Decision Trees for Lifelong Learning
Ł Korycki, B Krawczyk
European Conference on Machine Learning (ECML PKDD 2021), 2021
122021
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
122021
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
62018
Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams
Ł Korycki, B Krawczyk
Pattern Recognition, 108749, 2022
42022
Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling
Ł Korycki, B Krawczyk
arXiv preprint arXiv:2112.11019, 2021
12021
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Ł Korycki, B Krawczyk
arXiv preprint arXiv:2307.04094, 2023
2023
Continual learning from stationary and non-stationary data
Ł Korycki
2022
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