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cs.LG2025
NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection
Aitor Sánchez-Ferrera, Usue Mori, Borja Calvo +1
Time series anomaly detection plays a critical role in a wide range of real-world applications. Among unsupervised approaches, self-supervised learning has gained traction for mode…
cs.LG2020
A review on outlier/anomaly detection in time series data
Ane Blázquez-García, Angel Conde, Usue Mori +1
Recent advances in technology have brought major breakthroughs in data collection, enabling a large amount of data to be gathered over time and thus generating time series. Mining…