SS11.5
UNIVERSAL DOMAIN ADAPTATION BENCHMARK FOR TIME SERIES DATA REPRESENTATION
Romain Mussard, Fannia Pacheco, Maxime Berar, Université de Rouen Normandie, LITIS Lab, France; Gilles Gasso, INSA Rouen Normandie, LITIS Lab, France; Paul Honeine, Université de Rouen Normandie, LITIS Lab, France
Session:
SS11: Online change points and events detection for dynamic structured data Lecture
Track:
Special Sessions
Location:
Sala Massimo
Presentation Time:
Wed, 10 Sep, 16:50 - 17:10 Italy Time (UTC +2)
Session Chair:
Cédric Richard, Université Côte d'Azur, CNRS, OCA, France
Presentation
Discussion
Resources
No resources available.
Session SS11
SS11.1: Online Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation
Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos, ENS Paris-Saclay, France
SS11.2: Riemannian Change Point Detection on Manifolds with Robust Centroid Estimation
Xiuheng Wang, Ricardo Borsoi, Université de Lorraine, CNRS, CRAN, France; Arnaud Breloy, Conservatoire National des Arts et Métiers, CEDRIC, France, France; Cédric Richard, Université Côte d'Azur, CNRS, OCA, France, France
SS11.3: A Lightweight CNN for Noise Source Detection in Bearing-Time Sonar images
Antonio Soggia, Thales DMS/Université Côte D'Azur, France; Lionel Fillatre, I3S/Université Côte D'Azur, France; Laurent Deruaz-Pepin, Thales DMS, France
SS11.4: PATCHTRAD: A PATCH-BASED TRANSFORMER FOCUSING ON PATCH-WISE RECONSTRUCTION ERROR FOR TIME SERIES ANOMALY DETECTION
Samy-Melwan Vilhes, Gilles Gasso, INSA, Université Rouen Normandie, France; Mokhtar Z. Alaya, Université de Technologie de Compiègne, France
SS11.5: UNIVERSAL DOMAIN ADAPTATION BENCHMARK FOR TIME SERIES DATA REPRESENTATION
Romain Mussard, Fannia Pacheco, Maxime Berar, Université de Rouen Normandie, LITIS Lab, France; Gilles Gasso, INSA Rouen Normandie, LITIS Lab, France; Paul Honeine, Université de Rouen Normandie, LITIS Lab, France