Scholar

Bartosz Krawczyk

Google Scholar ID: 0GrFcZsAAAAJ

Assistant Professor, Center for Imaging Science, Rochester Institute of Technology, USA

Machine LearningData Stream MiningConcept DriftContinual LearningImbalanced Classification

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Citations & Impact

All-time

Citations

11,302

H-index

i10-index

Publications

Co-authors

list available

Publications

11 items

Restoring Without Forgetting: Continual Learning Across Image Degradations

2026

Cited

Geometry-Anchored Transport Framework for Exemplar-Free Class-Incremental Learning

2026

Cited

Sparsity, Superposition, and Forgetting: A Mechanistic Study of Representation Retention in Continual Learning

2026

Cited

Revisiting Prototype Rehearsal for Exemplar-Free Continual Learning: Manifold-Aware Boundary Sampling with Adaptive Class-Balanced Loss

2026

Cited

Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning

2026

Cited

Unlearning-based sliding window for continual learning under concept drift

2026

Cited

Deep Imbalanced Multi-Target Regression: 3D Point Cloud Voxel Content Estimation in Simulated Forests

2025

Cited

Towards Adversarial Robustness and Uncertainty Quantification in DINOv2-based Few-Shot Anomaly Detection

2025

Cited

Co-authors

13 total

Michal Wozniak

Wroclaw University of Science and Technology (Politechnika Wrocławska)

Francisco Herrera

Professor Computer Science and AI, DaSCI Research Institute, Granada University, Spain

Mikel Galar

Full Professor of Computer Science and Artificial Intelligence, Universidad Pública de Navarra

Ronaldo C. Prati

Associate Professor of Computer Science, Universidade Federal do ABC

Alberto Cano

Associate Vice President for Research Computing, Virginia Tech, USA

Łukasz Korycki

Research Scientist at Meta, Ph.D.

Colin Bellinger

University of Ottawa

Michał Koziarski

The Hospital for Sick Children, University of Toronto, Vector Institute