Paper accepted to NeurIPS 2025 Workshop on Learning from Time Series for Health (TS4H)
Happy to share that the paper RAxSS: Retrieval-Augmented Sparse Sampling for Explainable Variable-Length Medical Time Series Classification has been accepted to the Learning from Time Series for Health (TS4H) workshop at NeurIPS 2025 as a joint effort by Aydin Javadov and co-authors. They introduce a lightweight, retrieval-augmented convex aggregation approach for clinical time series. Evaluated…
Read more

