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…