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stat.ML2026
ProtoX-AD: Self-Explainable Time Series Anomaly Detection and Characterization
Aitor Sánchez-Ferrera, Elisabeth Wetzer, Kristoffer Wickstrøm +2
Recent advances in time series anomaly detection (TSAD) have highlighted the effectiveness of self-supervised classification-based approaches. These methods apply transformations t…
stat.ML2025
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges
Aitor Sánchez-Ferrera, Borja Calvo, Jose A. Lozano
Time series anomaly detection presents various challenges due to the sequential and dynamic nature of time-dependent data. Traditional unsupervised methods frequently encounter dif…