Lukasz Korycki

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Class Imbalanced

Mixture Of Gaussians

Top Venues

Pattern Recognit.

Publications

Lukasz Korycki, Bartosz Krawczyk
Correction: Adversarial concept drift detection under poisoning attacks for robust data stream mining. Mach. Learn. 113 (5) (2024)
Lukasz Korycki, Bartosz Krawczyk
Adversarial concept drift detection under poisoning attacks for robust data stream mining. Mach. Learn. 112 (10) (2023)
Lukasz Korycki, Bartosz Krawczyk
Class-Incremental Mixture of Gaussians for Deep Continual Learning. CoRR (2023)
Lukasz Korycki, Bartosz Krawczyk
Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. Pattern Recognit. 129 (2022)
Lukasz Korycki, Bartosz Krawczyk
Class-Incremental Experience Replay for Continual Learning under Concept Drift. CoRR (2021)
Lukasz Korycki, Bartosz Krawczyk
Concept Drift Detection from Multi-Class Imbalanced Data Streams. ICDE (2021)
Lukasz Korycki, Bartosz Krawczyk
Low-Dimensional Representation Learning from Imbalanced Data Streams. PAKDD (1) (2021)
Lukasz Korycki, Bartosz Krawczyk
Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling. CoRR (2021)
Lukasz Korycki, Bartosz Krawczyk
Class-Incremental Experience Replay for Continual Learning Under Concept Drift. CVPR Workshops (2021)
Lukasz Korycki, Bartosz Krawczyk
Concept Drift Detection from Multi-Class Imbalanced Data Streams. CoRR (2021)
Lukasz Korycki, Bartosz Krawczyk
Streaming Decision Trees for Lifelong Learning. ECML/PKDD (1) (2021)
Lukasz Korycki, Bartosz Krawczyk
Adaptive Deep Forest for Online Learning from Drifting Data Streams. CoRR (2020)
Lukasz Korycki, Bartosz Krawczyk
Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining. CoRR (2020)
Lukasz Korycki, Bartosz Krawczyk
Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams. IJCNN (2020)
Lukasz Korycki, Bartosz Krawczyk
Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. CoRR (2020)
Lukasz Korycki, Bartosz Krawczyk
Unsupervised Drift Detector Ensembles for Data Stream Mining. DSAA (2019)
Lukasz Korycki, Alberto Cano, Bartosz Krawczyk
Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. IEEE BigData (2019)
Lukasz Korycki, Bartosz Krawczyk
Clustering-Driven and Dynamically Diversified Ensemble for Drifting Data Streams. IEEE BigData (2018)
Lukasz Korycki, Bartosz Krawczyk
Combining Active Learning and Self-Labeling for Data Stream Mining. CORES (2017)