ProtoSSL: Interpretable Prototype Learning from Unlabeled Time-Series Data

ArXi:2605.06943v1 Announce Type: new In time-series domains where both predictive performance and interpretability are essential, deep neural networks achieve strong results but provide limited insight into how their predictions are made. Projection-based prototype networks address this limitation by grounding predictions in similarity to representative