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2020 – today
- 2024
[j7]Thibaut Germain
, Charles Truong, Laurent Oudre:
Persistence-Based Motif Discovery in Time Series. IEEE Trans. Knowl. Data Eng. 36(11): 6814-6827 (2024)- [c12]Simon Blotas, Charles Truong:
Structured Loss for Deep Change-Point Detection. EUSIPCO 2024: 1706-1710 - [c11]Sylvain W. Combettes, Charles Truong, Laurent Oudre:
Symbolic Representation for Time Series. EUSIPCO 2024: 1962-1966 - [c10]Thibaut Germain, Charles Truong, Laurent Oudre:
Linear-trend normalization for multivariate subsequence similarity search. ICDEW 2024: 167-175 - [c9]Sylvain W. Combettes, Paul Boniol, Charles Truong, Laurent Oudre:
dsymb Playground: An Interactive Tool to Explore Large Multivariate Time Series Datasets. ICDE 2024: 5437-5440 - [c8]Thibaut Germain, Charles Truong, Laurent Oudre:
Interactive Motif Discovery in Time Series with Persistent Homology. ECML/PKDD (8) 2024: 383-387 - 2023
- [j6]Charles Truong, Mounir Atiq, Ludovic Minvielle, Renan Serra, Mathilde Mougeot, Nicolas Vayatis:
A Data Set for Fall Detection with Smart Floor Sensors. Image Process. Line 13: 183-197 (2023) - [j5]Sylvain Jung, Nicolas de l'Escalopier, Laurent Oudre, Charles Truong, Eric Dorveaux, Louis Gorintin, Damien Ricard:
A Machine Learning Pipeline for Gait Analysis in a Semi Free-Living Environment. Sensors 23(8): 4000 (2023) - [c7]Charles Truong, Laurent Oudre:
Supervised Change-Point Detection with Dimension Reduction. EUSIPCO 2023: 1005-1009 - [c6]Sylvain W. Combettes, Charles Truong, Laurent Oudre:
An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals. ICDM (Workshops) 2023: 533-539 - [i4]Sylvain W. Combettes, Charles Truong, Laurent Oudre:
ASTRIDE: Adaptive Symbolization for Time Series Databases. CoRR abs/2302.04097 (2023) - 2022
- [c5]Thibaut Germain, Charles Truong, Laurent Oudre, Eric Krejci:
Unsupervised study of plethysmography signals through DTW clustering. EMBC 2022: 3396-3400 - 2021
- [c4]Sylvain Jung, Laurent Oudre, Charles Truong, Eric Dorveaux, Louis Gorintin, Nicolas Vayatis, Damien Ricard:
Adaptive Change-Point Detection for Studying Human Locomotion. EMBC 2021: 2020-2024 - [c3]Amir Dib, Charles Truong, Laurent Oudre, Mathilde Mougeot, Nicolas Vayatis, Heloïse Nonne:
Bayesian Feature Discovery for Predictive Maintenance. EUSIPCO 2021: 1421-1425 - 2020
- [j4]Charles Truong, Laurent Oudre, Nicolas Vayatis:
Selective review of offline change point detection methods. Signal Process. 167 (2020) - [i3]Flavien Quijoux, Charles Truong, Aliénor Vienne-Jumeau, Laurent Oudre, François Bertin-Hugault, Philippe Zawieja, Marie Lefèvre, Pierre-Paul Vidal, Damien Ricard:
Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions. CoRR abs/2007.07799 (2020)
2010 – 2019
- 2019
- [j3]Charles Truong, Rémi Barrois-Müller, Thomas Moreau, Clément Provost, Aliénor Vienne-Jumeau, Albane Moreau, Pierre-Paul Vidal, Nicolas Vayatis, Stéphane Buffat, Alain P. Yelnik, Damien Ricard, Laurent Oudre:
A Data Set for the Study of Human Locomotion with Inertial Measurements Units. Image Process. Line 9: 381-390 (2019) - [j2]Charles Truong, Laurent Oudre, Nicolas Vayatis:
Greedy Kernel Change-Point Detection. IEEE Trans. Signal Process. 67(24): 6204-6214 (2019) - [c2]Charles Truong, Laurent Oudre, Nicolas Vayatis:
Supervised Kernel Change Point Detection with Partial Annotations. ICASSP 2019: 3147-3151 - 2018
- [j1]Laurent Oudre, Rémi Barrois, Thomas Moreau, Charles Truong, Aliénor Vienne-Jumeau, Damien Ricard, Nicolas Vayatis, Pierre-Paul Vidal:
Template-Based Step Detection with Inertial Measurement Units. Sensors 18(11): 4033 (2018) - [i2]Charles Truong, Laurent Oudre, Nicolas Vayatis:
A review of change point detection methods. CoRR abs/1801.00718 (2018) - [i1]Charles Truong, Laurent Oudre, Nicolas Vayatis:
ruptures: change point detection in Python. CoRR abs/1801.00826 (2018) - 2017
- [c1]Charles Truong, Laurent Oudre, Nicolas Vayatis:
Penalty learning for changepoint detection. EUSIPCO 2017: 1569-1573
Coauthor Index
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