Christos Panourgias

Retrieval Over Training: Similarity search-based Model Selection for Time Series Anomaly Detection

Anomaly detection is a fundamental task for time-series analytics, with important implications for the downstream performance of many applications. Despite the large number of anomaly detection methods proposed in the literature, recent benchmark studies have shown that no single detector performs best across highly he...