Penalty learning for changepoint detection. - Charles Truong; Laurent Oudre; Nicolas Vayatis (EUSIPCO, 2017)

A review of change point detection methods. - Charles Truong; Laurent Oudre; Nicolas Vayatis (CoRR, 2018)

ruptures: change point detection in Python. - Charles Truong; Laurent Oudre; Nicolas Vayatis (CoRR, 2018)

Template-Based Step Detection with Inertial Measurement Units. - Laurent Oudre; Rémi Barrois; Thomas Moreau 001; Charles Truong; Aliénor Vienne-Jumeau; Damien Ricard; Nicolas Vayatis; Pierre-Paul Vidal (Sensors, 2018)

Supervised Kernel Change Point Detection with Partial Annotations. - Charles Truong; Laurent Oudre; Nicolas Vayatis (ICASSP, 2019)

A Data Set for the Study of Human Locomotion with Inertial Measurements Units. - Charles Truong; Rémi Barrois-Müller; Thomas Moreau 001; Clément Provost; Aliénor Vienne-Jumeau; Albane Moreau; Pierre-Paul Vidal; Nicolas Vayatis; Stéphane Buffat; Alain P. Yelnik; Damien Ricard; Laurent Oudre (Image Process. Line, 2019)

Greedy Kernel Change-Point Detection. - Charles Truong; Laurent Oudre; Nicolas Vayatis (IEEE Trans. Signal Process., 2019)

Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions. - Flavien Quijoux; Charles Truong; Aliénor Vienne-Jumeau; Laurent Oudre; François Bertin-Hugault; Philippe Zawieja; Marie Lefèvre; Pierre-Paul Vidal; Damien Ricard (CoRR, 2020)

Selective review of offline change point detection methods. - Charles Truong; Laurent Oudre; Nicolas Vayatis (Signal Process., 2020)

Adaptive Change-Point Detection for Studying Human Locomotion. - Sylvain Jung; Laurent Oudre; Charles Truong; Eric Dorveaux; Louis Gorintin; Nicolas Vayatis; Damien Ricard (EMBC, 2021)

Bayesian Feature Discovery for Predictive Maintenance. - Amir Dib; Charles Truong; Laurent Oudre; Mathilde Mougeot; Nicolas Vayatis; Heloïse Nonne (EUSIPCO, 2021)

Unsupervised study of plethysmography signals through DTW clustering. - Thibaut Germain; Charles Truong; Laurent Oudre; Eric Krejci (EMBC, 2022)

Supervised Change-Point Detection with Dimension Reduction. - Charles Truong; Laurent Oudre (EUSIPCO, 2023)

An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals. - Sylvain W. Combettes; Charles Truong; Laurent Oudre (ICDM (Workshops), 2023)

ASTRIDE: Adaptive Symbolization for Time Series Databases. - Sylvain W. Combettes; Charles Truong; Laurent Oudre (CoRR, 2023)

A Data Set for Fall Detection with Smart Floor Sensors. - Charles Truong; Mounir Atiq; Ludovic Minvielle; Renan Serra; Mathilde Mougeot; Nicolas Vayatis (Image Process. Line, 2023)

A Machine Learning Pipeline for Gait Analysis in a Semi Free-Living Environment. - Sylvain Jung; Nicolas de l'Escalopier; Laurent Oudre; Charles Truong; Eric Dorveaux; Louis Gorintin; Damien Ricard (Sensors, 2023)

Photobleaching Step Counting and Localization for Fluorescence Microscopy. - Charles Truong; Thomas Bugea; Baptiste Bouhet; Guillaume Tresset; François Marquier; Karen Perronet (EMBC, 2024)

Structured Loss for Deep Change-Point Detection. - Simon Blotas; Charles Truong (EUSIPCO, 2024)

Symbolic Representation for Time Series. - Sylvain W. Combettes; Charles Truong; Laurent Oudre (EUSIPCO, 2024)

dsymb Playground: An Interactive Tool to Explore Large Multivariate Time Series Datasets. - Sylvain W. Combettes; Paul Boniol; Charles Truong; Laurent Oudre (ICDE, 2024)

Linear-trend normalization for multivariate subsequence similarity search. - Thibaut Germain; Charles Truong; Laurent Oudre (ICDEW, 2024)

Shape analysis for time series. - Thibaut Germain; Samuel Gruffaz; Charles Truong; Alain Durmus; Laurent Oudre (NeurIPS, 2024)

Interactive Motif Discovery in Time Series with Persistent Homology. - Thibaut Germain; Charles Truong; Laurent Oudre (ECML/PKDD (8), 2024)

Persistence-Based Motif Discovery in Time Series. - Thibaut Germain; Charles Truong; Laurent Oudre (IEEE Trans. Knowl. Data Eng., 2024)

Convolutional Sparse Coding for Time Series Via a ℓ 0 Penalty: An Efficient Algorithm With Statistical Guarantees. - Charles Truong; Thomas Moreau 001 (Stat. Anal. Data Min., 2024)

Change Point Detection in Hadamard Spaces by Alternating Minimization. - Anica Kostic; Vincent Runge; Charles Truong (AISTATS, 2025)

Convolutional Sparse Coding with Multipath Orthogonal Matching Pursuit. - Yanis Gomes; Charles Truong; Jean-Philippe Saut; Fikri Hafid; Pascale Prieur; Laurent Oudre (ICASSP, 2025)

Covariance Change Point Detection for Graph Signals. - Even Matencio; Charles Truong; Laurent Oudre (ICASSP, 2025)

Time Series Motif Discovery: A Comprehensive Evaluation. - Valerio Guerrini; Thibaut Germain; Charles Truong; Laurent Oudre; Paul Boniol (Proc. VLDB Endow., 2025)