Combining Active Learning and Self-Labeling for Data Stream Mining. - Lukasz Korycki; Bartosz Krawczyk (CORES, 2017)

Clustering-Driven and Dynamically Diversified Ensemble for Drifting Data Streams. - Lukasz Korycki; Bartosz Krawczyk (IEEE BigData, 2018)

Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. - Lukasz Korycki; Alberto Cano 001; Bartosz Krawczyk (IEEE BigData, 2019)

Unsupervised Drift Detector Ensembles for Data Stream Mining. - Lukasz Korycki; Bartosz Krawczyk (DSAA, 2019)

Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams. - Lukasz Korycki; Bartosz Krawczyk (IJCNN, 2020)

Adaptive Deep Forest for Online Learning from Drifting Data Streams. - Lukasz Korycki; Bartosz Krawczyk (CoRR, 2020)

Class-Incremental Experience Replay for Continual Learning Under Concept Drift. - Lukasz Korycki; Bartosz Krawczyk (CVPR Workshops, 2021)

Concept Drift Detection from Multi-Class Imbalanced Data Streams. - Lukasz Korycki; Bartosz Krawczyk (ICDE, 2021)

Low-Dimensional Representation Learning from Imbalanced Data Streams. - Lukasz Korycki; Bartosz Krawczyk (PAKDD (1), 2021)

Streaming Decision Trees for Lifelong Learning. - Lukasz Korycki; Bartosz Krawczyk (ECML/PKDD (1), 2021)

Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling. - Lukasz Korycki; Bartosz Krawczyk (CoRR, 2021)

Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. - Lukasz Korycki; Bartosz Krawczyk (Pattern Recognit., 2022)

Adversarial concept drift detection under poisoning attacks for robust data stream mining. - Lukasz Korycki; Bartosz Krawczyk (Mach. Learn., 2023)

Class-Incremental Mixture of Gaussians for Deep Continual Learning. - Lukasz Korycki; Bartosz Krawczyk (CVPR Workshops, 2024)

Correction: Adversarial concept drift detection under poisoning attacks for robust data stream mining. - Lukasz Korycki; Bartosz Krawczyk (Mach. Learn., 2024)

CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning. - Hao Yu; Zhuokai Zhao; Shen Yan; Lukasz Korycki; Jianyu Wang; Baosheng He; Jiayi Liu; Lizhu Zhang; Xiangjun Fan; Hanchao Yu (CoRR, 2025)