Template-based Chord Recognition : Influence of the Chord Types. - Laurent Oudre; Yves Grenier; Cédric Févotte (ISMIR, 2009)

Chord recognition using measures of fit, chord templates and filtering methods. - Laurent Oudre; Yves Grenier; Cédric Févotte (WASPAA, 2009)

Concurrent Estimation of Chords and Keys from Audio. - Thomas Rocher; Matthias Robine; Pierre Hanna; Laurent Oudre (ISMIR, 2010)

Probabilistic framework for template-based chord recognition. - Laurent Oudre; Cédric Févotte; Yves Grenier (MMSP, 2010)

Reconnaissance d'accords à partir de signaux audio par l'utilisation de gabarits théoriques. (Template-based chord recognition from audio signals). - Laurent Oudre (2010)

Segmentation of accelerometer signals recorded during continuous treadmill walking. - Laurent Oudre; Alexandre Lung-Yut-Fong; Pascal Bianchi (EUSIPCO, 2011)

Probabilistic Template-Based Chord Recognition. - Laurent Oudre; Cédric Févotte; Yves Grenier (IEEE Trans. Speech Audio Process., 2011)

Chord Recognition by Fitting Rescaled Chroma Vectors to Chord Templates. - Laurent Oudre; Yves Grenier; Cédric Févotte (IEEE Trans. Speech Audio Process., 2011)

IPOL: Reviewed publication and public testing of research software. - Nicolas Limare; Laurent Oudre; Pascal Getreuer (eScience, 2012)

Classification of Periodic Activities Using the Wasserstein Distance. - Laurent Oudre; Jérémie Jakubowicz; Pascal Bianchi; Chantal Simon (IEEE Trans. Biomed. Eng., 2012)

Optimization of the Cost Function in the Monge-Kantorovich Problem (MKP) under the Monge condition. - Laurent Oudre (Int. J. Pattern Recognit. Artif. Intell., 2014)

Automatic Detection and Removal of Impulsive Noise in Audio Signals. - Laurent Oudre (Image Process. Line, 2015)

Template-DTW based on inertial signals: Preliminary results for step characterization. - Juan Mantilla; Laurent Oudre; Rémi Barrois; Aliénor Vienne; Damien Ricard (EMBC, 2017)

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

Distributed Convolutional Sparse Coding. - Thomas Moreau 001; Laurent Oudre; Nicolas Vayatis (CoRR, 2017)

Feature Trajectories Selection for Video Stabilization. - Wilko Guilluy; Laurent Oudre; Azeddine Beghdadi (EUSIPCO, 2018)

A performance evaluation framework for video stabilization methods. - Wilko Guilluy; Azeddine Beghdadi; Laurent Oudre (EUVIP, 2018)

DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding. - Thomas Moreau 001; Laurent Oudre; Nicolas Vayatis (ICML, 2018)

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)

Interpolation of Missing Samples in Sound Signals Based on Autoregressive Modeling. - Laurent Oudre (Image Process. Line, 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)

Subsampling of Multivariate Time-Vertex Graph Signals. - Pierre Humbert; Laurent Oudre; Nicolas Vayatis (EUSIPCO, 2019)

Learning Laplacian Matrix from Bandlimited Graph Signals. - Batiste Le Bars; Pierre Humbert; Laurent Oudre; Argyris Kalogeratos (ICASSP, 2019)

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

Multivariate Convolutional Sparse Coding with Low Rank Tensor. - Pierre Humbert; Julien Audiffren; Laurent Oudre; Nicolas Vayatis (CoRR, 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)

Comparing Gait Trials with Greedy Template Matching. - Aliénor Vienne-Jumeau; Laurent Oudre; Albane Moreau; Flavien Quijoux; Pierre-Paul Vidal; Damien Ricard (Sensors, 2019)

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

Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding. - Clément Lalanne; Maxence Rateaux; Laurent Oudre; Matthieu P. Robert; Thomas Moreau 001 (EMBC, 2020)

Localized Interpolation for Graph Signals. - Antoine Mazarguil; Laurent Oudre; Nicolas Vayatis (EUSIPCO, 2020)

Low Rank Activations for Tensor-Based Convolutional Sparse Coding. - Pierre Humbert; Julien Audiffren; Laurent Oudre; Nicolas Vayatis (ICASSP, 2020)

Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis. - Pierre Humbert; Laurent Oudre; Nicolas Vayatis; Julien Audiffren (CoRR, 2020)

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)

Non-Linear Template-Based Approach for the Study of Locomotion. - Tristan Dot; Flavien Quijoux; Laurent Oudre; Aliénor Vienne-Jumeau; Albane Moreau; Pierre-Paul Vidal; Damien Ricard (Sensors, 2020)

The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review. - Sylvain Jung; Mona Michaud; Laurent Oudre; Eric Dorveaux; Louis Gorintin; Nicolas Vayatis; Damien Ricard (Sensors, 2020)

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

Apprenticeship Learning for a Predictive State Representation of Anesthesia. - Pierre Humbert; Clément Dubost; Julien Audiffren; Laurent Oudre (IEEE Trans. Biomed. Eng., 2020)

Learning spatial filters from EEG signals with Graph Signal Processing methods. - Pierre Humbert; Laurent Oudre; Clément Dubost (EMBC, 2021)

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)

Adaptive Subsampling of Multidomain Signals with Product Graphs. - Théo Gnassounou; Pierre Humbert; Laurent Oudre (ICASSP, 2021)

Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation. - Pierre Humbert; Batiste Le Bars; Laurent Oudre; Argyris Kalogeratos; Nicolas Vayatis (J. Mach. Learn. Res., 2021)

Video stabilization: Overview, challenges and perspectives. - Wilko Guilluy; Laurent Oudre; Azeddine Beghdadi (Signal Process. Image Commun., 2021)

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

Network reconstruction problem for an epidemic reaction-diffusion system. - Louis-Brahim Beaufort; Pierre-Yves Massé; Antonin Reboulet; Laurent Oudre (J. Complex Networks, 2022)

Non-smooth interpolation of graph signals. - Antoine Mazarguil; Laurent Oudre; Nicolas Vayatis (Signal Process., 2022)

An Uncertainty Principle for Lowband Graph Signals. - Antoine Mazarguil; Laurent Oudre; Nicolas Vayatis (IEEE Signal Process. Lett., 2022)

Tensor Convolutional Dictionary Learning With CP Low-Rank Activations. - Pierre Humbert; Laurent Oudre; Nicolas Vayatis; Julien Audiffren (IEEE Trans. Signal Process., 2022)

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

Unsupervised Action Segmentation of Untrimmed Egocentric Videos. - Sam Perochon; Laurent Oudre (ICASSP, 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 Reference Data Set for the Study of Healthy Subject Gait with Inertial Measurements Units. - Cyril Voisard; Nicolas de l'Escalopier; Albane Moreau; Aliénor Vienne-Jumeau; Damien Ricard; Laurent Oudre (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)

Graph dictionary learning for the study of human motion. - Marion Chauveau; Antoine Mazarguil; Laurent Oudre (EMBC, 2024)

Topological Data Analysis for Unsupervised Anomaly Detection in Time Series. - Alexandre Bois; Brian Tervil; Laurent Oudre (EUSIPCO, 2024)

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

Using Graph Prior to Learn Network Granger Causality. - Lucas Zoroddu; Pierre Humbert; Laurent Oudre (EUSIPCO, 2024)

Graph Local-Smooth Dictionary Learning. - Quentin Laborde; Antoine Mazarguil; Laurent Oudre (ICASSP, 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 clustering with outlier-removing filtration. - Alexandre Bois; Brian Tervil; Laurent Oudre (Frontiers Appl. Math. Stat., 2024)

Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination. - Sylvain W. Combettes; Paul Boniol; Antoine Mazarguil; Danping Wang; Diego Vaquero-Ramos; Marion Chauveau; Laurent Oudre; Nicolas Vayatis; Pierre-Paul Vidal; Alexandra Roren; Marie-Martine Lefèvre-Colau (Image Process. Line, 2024)

A persistent homology-based algorithm for unsupervised anomaly detection in time series. - Alexandre Bois; Brian Tervil; Laurent Oudre (Trans. Mach. Learn. Res., 2024)

Learning Network Granger causality using Graph Prior Knowledge. - Lucas Zoroddu; Pierre Humbert; Laurent Oudre (Trans. Mach. Learn. Res., 2024)

The Analytical Validity of Stride Detection and Gait Parameters Reconstruction Using the Ankle-Mounted Inertial Measurement Unit Syde®. - Mona Michaud; Alexandre Guérin; Marguerite Dejean de La Bâtie; Léopold Bancel; Laurent Oudre; Alexis Tricot (Sensors, 2024)

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

Personalized Convolutional Dictionary Learning of Physiological Time Series. - Axel Roques; Samuel Gruffaz; Kyurae Kim; Alain Oliviero Durmus; Laurent Oudre (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)

Semiogram: a Visual Tool for Gait Quantification in Routine Neurological Follow-Up. - Cyril Voisard; Nicolas de l'Escalopier; Damien Ricard; Laurent Oudre (Image Process. Line, 2025)

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