Online Continual Learning from Imbalanced Data
Aristotelis Chrysakis, Marie‐Francine Moens
Abstract
sponsorship: We would like to thank Ivan Vuli ' c and Pieter Delobelle for providing valuable feedback on this work. In addition, we want to thank the anonymous reviewers for their comments. This work is part of the CALCULUS5 project, which is funded by the ERC Advanced Grant H2020-ERC-2017ADG 788506. (ERC Advanced Grant|H2020-ERC-2017ADG 788506)
Topics & Concepts
Computer scienceArtificial intelligenceMachine learningAnomaly Detection Techniques and ApplicationsImbalanced Data Classification TechniquesData Stream Mining Techniques