2 papers
cs.AI2026
Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling
Pierre Lotte, André Péninou, Olivier Teste
Reliable evaluation of anomaly detection methods in multivariate time series remains an open challenge, largely due to the limitations of existing benchmark datasets. Current resou…
cs.LG2025
Anomaly detection by partitioning of multi-variate time series
Pierre Lotte, André Péninou, Olivier Teste
In this article, we suggest a novel non-supervised partition based anomaly detection method for anomaly detection in multivariate time series called PARADISE. This methodology crea…