Charles Truong

31 papers A* 2A 1Misc 3Journal 13Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Change Point Detection in Hadamard Spaces by Alternating Minimization. AISTATS Anica Kostic, Vincent Runge, Charles Truong
2025	Misc	`conf`	Convolutional Sparse Coding with Multipath Orthogonal Matching Pursuit. ICASSP Yanis Gomes, Charles Truong, Jean-Philippe Saut, Fikri Hafid, Pascale Prieur, Laurent Oudre
2025	Misc	`conf`	Covariance Change Point Detection for Graph Signals. ICASSP Even Matencio, Charles Truong, Laurent Oudre
2025	—	`conf`	SPOP: Time Series Compression with Quadratic Splines. EUSIPCO Nicolas Enrique Cecchi, Vincent Runge, Charles Truong, Laurent Oudre
2025	J	`jnl`	Time Series Motif Discovery: A Comprehensive Evaluation. Proc. VLDB Endow. Valerio Guerrini, Thibaut Germain, Charles Truong, Laurent Oudre, Paul Boniol
2024	J	`jnl`	Convolutional Sparse Coding for Time Series Via a ℓ 0 Penalty: An Efficient Algorithm With Statistical Guarantees. Stat. Anal. Data Min. Charles Truong, Thomas Moreau
2024	—	`conf`	Interactive Motif Discovery in Time Series with Persistent Homology. ECML/PKDD (8) Thibaut Germain, Charles Truong, Laurent Oudre
2024	—	`conf`	Linear-trend normalization for multivariate subsequence similarity search. ICDEW Thibaut Germain, Charles Truong, Laurent Oudre
2024	J	`jnl`	Persistence-Based Motif Discovery in Time Series. IEEE Trans. Knowl. Data Eng. Thibaut Germain, Charles Truong, Laurent Oudre
2024	—	`conf`	Photobleaching Step Counting and Localization for Fluorescence Microscopy. EMBC Charles Truong, Thomas Bugea, Baptiste Bouhet, Guillaume Tresset, François Marquier, Karen Perronet
2024	A*	`conf`	Shape analysis for time series. NeurIPS Thibaut Germain, Samuel Gruffaz, Charles Truong, Alain Durmus, Laurent Oudre
2024	—	`conf`	Structured Loss for Deep Change-Point Detection. EUSIPCO Simon Blotas, Charles Truong
2024	—	`conf`	Symbolic Representation for Time Series. EUSIPCO Sylvain W. Combettes, Charles Truong, Laurent Oudre
2024	A*	`conf`	dsymb Playground: An Interactive Tool to Explore Large Multivariate Time Series Datasets. ICDE Sylvain W. Combettes, Paul Boniol, Charles Truong, Laurent Oudre
2023	J	`jnl`	A Data Set for Fall Detection with Smart Floor Sensors. Image Process. Line Charles Truong, Mounir Atiq, Ludovic Minvielle, Renan Serra, Mathilde Mougeot, Nicolas Vayatis
2023	J	`jnl`	A Machine Learning Pipeline for Gait Analysis in a Semi Free-Living Environment. Sensors Sylvain Jung, Nicolas de l'Escalopier, Laurent Oudre, Charles Truong, Eric Dorveaux, Louis Gorintin, Damien Ricard
2023	J	`jnl`	ASTRIDE: Adaptive Symbolization for Time Series Databases. CoRR Sylvain W. Combettes, Charles Truong, Laurent Oudre
2023	—	`conf`	An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals. ICDM (Workshops) Sylvain W. Combettes, Charles Truong, Laurent Oudre
2023	—	`conf`	Supervised Change-Point Detection with Dimension Reduction. EUSIPCO Charles Truong, Laurent Oudre
2022	—	`conf`	Unsupervised study of plethysmography signals through DTW clustering. EMBC Thibaut Germain, Charles Truong, Laurent Oudre, Eric Krejci
2021	—	`conf`	Adaptive Change-Point Detection for Studying Human Locomotion. EMBC Sylvain Jung, Laurent Oudre, Charles Truong, Eric Dorveaux, Louis Gorintin, Nicolas Vayatis, Damien Ricard
2021	—	`conf`	Bayesian Feature Discovery for Predictive Maintenance. EUSIPCO Amir Dib, Charles Truong, Laurent Oudre, Mathilde Mougeot, Nicolas Vayatis, Heloïse Nonne
2020	J	`jnl`	Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions. CoRR Flavien Quijoux, Charles Truong, Aliénor Vienne-Jumeau, Laurent Oudre, François Bertin-Hugault, Philippe Zawieja, Marie Lefèvre, Pierre-Paul Vidal, Damien Ricard
2020	J	`jnl`	Selective review of offline change point detection methods. Signal Process. Charles Truong, Laurent Oudre, Nicolas Vayatis
2019	J	`jnl`	A Data Set for the Study of Human Locomotion with Inertial Measurements Units. Image Process. Line 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
2019	J	`jnl`	Greedy Kernel Change-Point Detection. IEEE Trans. Signal Process. Charles Truong, Laurent Oudre, Nicolas Vayatis
2019	Misc	`conf`	Supervised Kernel Change Point Detection with Partial Annotations. ICASSP Charles Truong, Laurent Oudre, Nicolas Vayatis
2018	J	`jnl`	A review of change point detection methods. CoRR Charles Truong, Laurent Oudre, Nicolas Vayatis
2018	J	`jnl`	Template-Based Step Detection with Inertial Measurement Units. Sensors Laurent Oudre, Rémi Barrois, Thomas Moreau, Charles Truong, Aliénor Vienne-Jumeau, Damien Ricard, Nicolas Vayatis, Pierre-Paul Vidal
2018	J	`jnl`	ruptures: change point detection in Python. CoRR Charles Truong, Laurent Oudre, Nicolas Vayatis
2017	—	`conf`	Penalty learning for changepoint detection. EUSIPCO Charles Truong, Laurent Oudre, Nicolas Vayatis