C. Truong, L. Oudre, N. Vayatis. Supervised kernel change point detection with
partial annotations.
ICASSP 2019, Accepted, 2019.
Thomas Moreau, Laurent Oudre, Nicolas Vayatis. DICOD: Distributed Convolutional Coordinate
Descent for Convolutional Sparse Coding. Proceedings of ICML'18, 2018.
C. Truong, L. Oudre, N. Vayatis. A review of change point detection methods.
Submitted, 2018.
L. Oudre, R. Barrois-Müller, T. Moreau, C.
Truong, A. Vienne-Jumeau, D. Ricard, N. Vayatis,
P.-P. Vidal. Template-based Step Detection with Inertial
Measurement Units.
Sensors, 18, 4033, 2018.
Ludovic
Minvielle, Mounir Atiq, Renan Serra, Mathilde
Mougeot, Nicolas Vayatis. Fall detection using smart floor sensor and
supervised learning.
Engineering in Medicine and Biology Society
(EMBC), 2017 39th Annual International
Conference of the IEEE, 2017.
C. Truong,
L. Oudre and N. Vayatis. Penalty
Learning for Changepoint
Detection. In
Proceedings of the
European Signal Processing
Conference (EUSIPCO), pages
1614-1618, 2017.
Thomas
Moreau, Laurent Oudre, Nicolas Vayatis. Distributed
Convolutional Sparse Coding via Message Passing
Interface.
NIPS
workshop “Nonparametric
Methods for Large Scale Representation
Learning”, NIPS'15, 2015.
Thomas
Moreau , Laurent Oudre , Nicolas Vayatis. Groupement
automatique pour l'analyse du spectre singulier.
Colloque du GRETSI, 2015.
Charles Truong , Laurent Oudre , Nicolas Vayatis. Segmentation de
signaux physiologiques par optimisation globale.
Colloque du GRETSI, 2015.