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cs.LG2026
Drift-Aware Variational Autoencoder-based Anomaly Detection with Two-level Ensembling
Jin Li, Kleanthis Malialis, Christos G. Panayiotou +1
In today's digital world, the generation of vast amounts of streaming data in various domains has become ubiquitous. However, many of these data are unlabeled, making it challengin…
cs.LG2026
Resilient Class-Incremental Learning: on the Interplay of Drifting, Unlabelled and Imbalanced Data Streams
Jin Li, Kleanthis Malialis, Marios Polycarpou
In today's connected world, the generation of massive streaming data across diverse domains has become commonplace. In the presence of concept drift, class imbalance, label scarcit…