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cs.LG2026
Disjoint or Overlapping? Inference Windowing for Reconstruction-Based Time Series Anomaly Detection
Guillaume Coulaud, Reza Akbarinia, Florent Masseglia
Reconstruction-based methods are widely used for time series anomaly detection, where models are trained to reconstruct subsequences, and anomalies are identified through reconstru…
cs.LG2023★ 10 cited
SoftED: Metrics for Soft Evaluation of Time Series Event Detection
Rebecca Salles, Janio Lima, Michel Reis +8
Time series event detection methods are evaluated mainly by standard classification metrics that focus solely on detection accuracy. However, inaccuracy in detecting an event can o…