Open AccessDeep anomaly detection using self-supervised learning: application to time series of cellular data
Author(s) -
Romain Bailly,
Marielle Malfante,
Cédric Allier,
Lamya Ghenim,
Jérôme Mars
Publication year - 2021
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - anomaly detection , computer science , series (stratigraphy) , artificial intelligence , time series , anomaly (physics) , machine learning , deep learning , pattern recognition (psychology) , data mining , paleontology , physics , biology , condensed matter physics