Beyond Static Models: Evaluating Drift-Aware Retraining for Time-Series Anomaly Detection
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mhmd-81/Starling
Starling is a time-series anomaly detection research project. Its goal is to investigate how different retraining strategies affect anomaly detection when time-series data changes over time.We use NASA SMAP/MSL telemetry data from [Telemanom](https://github.com/khundman/telemanom).
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Created Oct 23, 2026Updated Oct 26, 2026
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