2 papers
cs.LG2026
Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate
Marc Pinet, Julien Cumin, Samuel Berlemont +1
Many recent multivariate time series anomaly detection (MTSAD) models incorporate cross-channel modeling, under the implicit assumption that the structure of anomalies may be sprea…
cs.LG2025
Unsupervised Feature Construction for Anomaly Detection in Time Series -- An Evaluation
Marine Hamon, Vincent Lemaire, Nour Eddine Yassine Nair-Benrekia +2
To detect anomalies with precision and without prior knowledge in time series, is it better to build a detector from the initial temporal representation, or to compute a new (tabul…