Combining Statistical Features and Deep Encodings for Rehearsal-Based Class-Incremental Time Series Classification

ArXi:2606.03292v1 Announce Type: cross Many systems used in real-world environments require adding new categories and incorporating new information without forgetting what was previously learnt by the classification model. This is known as class-incremental continual learning, and in the case of multivariate time-series, is further complicated by the temporal structure of the data.