| A. Bois, B. Tervil, and L. Oudre. Persistence-based clustering with outlier-removing filtration. Frontiers in Applied Mathematics and Statistics, 10:1260828, 2024. |
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| S. W. Combettes, P. Boniol, A. Mazarguil, D. Wang, D. Vaquero-Ramos, M. Chauveau, L. Oudre, N. Vayatis, P.-P. Vidal, A. Roren, and M.-M. Lefèvre-Colau. Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination. Image Processing On Line, 14:1-13, 2024. |
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| D. Wang, I. Bargiotas, J. Cao, N. Vayatis, L. Oudre, and P-P. Vidal. Heterogeneities of the perceptual motor style during locomotion at height. Frontiers in Human Neuroscience, 17:1228195, 2024. |
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| C. Voisard, N. De l'Escalopier, A. Moreau, A. Vienne-Jumeau, D. Ricard, and L. Oudre. A Reference Data Set for the Study of Healthy Subject Gait with Inertial Measurements Units. Image Processing On Line, 13:314-320, 2023. |
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| C. Voisard, N. De l'Escalopier, A. Vienne-Jumeau, A. Moreau, F. Quijoux, F. Bompaire, M. Sallansonnet, M-L. Brechemier, I. Taifas, C. Tafani, E. Drouard, N. Vayatis, D. Ricard and L. Oudre. Innovative multidimensional gait evaluation using IMU in multiple sclerosis: introducing the semiogram. Frontiers in Neurology, 14:1237162, 2023. |
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| T. Germain, C. Truong, L. Oudre, and E. Krejci. Unsupervised classification of plethysmography signals with advanced visual representations. Frontiers in Physiology, 14:1154328, 2023. |
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| S. Jung, N. De l'Escalopier, L. Oudre, C. Truong, E. Dorveaux, L. Gorintin and D. Ricard. A Machine Learning Pipeline for Gait Analysis in a Semi Free-Living Environment. Sensors, 23(8):4000, 2023. |
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| N. De l'Escalopier, C. Voisard, M. Michaud, A. Moreau, S. Jung, B. Tervil, N. Vayatis, L. Oudre and D. Ricard. Evaluation methods to assess the efficacy of equinovarus foot surgery on the gait of post-stroke hemiplegic patients: A literature review. Frontiers in Neurology, 13:1042667, 2022. |
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| L.-B. Beaufort, P.-Y. Massé, A. Reboulet, and L. Oudre. Network reconstruction problem for an epidemic reaction-diffusion system. Journal of Complex Networks, 10(6):cnac047, 2022. |
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| I. Bargiotas, D. Wang, J. Mantilla, F. Quijoux, A. Moreau, C. Vidal, R. Barrois, A. Nicolai, J. Audiffren, C. Labourdette, F. Bertin-Hugaul, L. Oudre, S. Buffat, A. Yelnik, D. Ricard, N. Vayatis, and P.-P. Vidal. Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall. Journal of Neurology, 1-14, 2022. |
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| A. Bois, B. Tervil, A. Moreau, A. Vienne-Jumeau, D. Ricard, and L. Oudre. A topological data analysis-based method for gait signals with an application to the study of multiple sclerosis. PloS one, 17(5):e0268475, 2022 |
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| A. Mazarguil, L. Oudre, and N. Vayatis. An uncertainty principle for lowband graph signals. IEEE Signal Processing Letters, 29:727-731, 2022. |
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| A. Mazarguil, L. Oudre, and N. Vayatis. Non-smooth interpolation of graph signals. Signal Processing, 196:108480, 2022. |
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| P. Humbert, L. Oudre, N. Vayatis, and J.Audiffren. Tensor Convolutional Dictionary Learning with CP Low-Rank activations. IEEE Transactions in Signal Processing, 70:785-796, 2022. |
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| A. Roren, A. Mazarguil, D. Vaquero-Ramos D, J.-B. Deloose, P.-P. Vidal, C. Nguyen, F. Rannou, D. Wang, L. Oudre, and M.-M. Lefèvre-Colau. Assessing Smoothness of Arm Movements With Jerk: A Comparison of Laterality, Contraction Mode and Plane of Elevation. A Pilot Study. Frontiers in Bioengineering and Biotechnology, 9:782740, 2022. |
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| F. Quijoux, A. Nicolaï, I. Chairi, I. Bargiotas, D. Ricard, A. Yelnik, L. Oudre, F. Bertin-Hugault, P-P. Vidal, N. Vayatis, S. Buffat, and J. Audiffren. A Review of Center of Pressure (COP) Variables to Quantify Standing Balance in Elderly People: Algorithms and Open Access Code. Physiological Reports, 9(22):e15067, 2021. |
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| P. Humbert, B. Le Bars, L. Oudre, A. Kalogeratos, and N. Vayatis. Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation. Journal of Machine Learning Research, 22(195):1-47, 2021. |
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| W. Guilluy, L. Oudre, and A. Beghdadi. Video stabilization: Overview, challenges and perspectives. Signal Processing: Image Communication, 90:116015, 2021 |
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| S. Jung, M. Michaud, L. Oudre, E. Dorveaux, L. Gorintin, N. Vayatis, and D. Ricard. The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review. Sensors, 20(19), 5625 , 2020 |
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| P.-P. Vidal, A. Vienne-Jumeau, A. Moreau, C. Vidal, D. Wang, J. Audiffren, I. Bargiotas, R. Barrois, S. Buffat, C. Dubost, J.-M. Ghidaglia, C. Labourdette, J. Mantilla, L. Oudre, F. Quijoux, M. Robert, A. Yelnik, D. Ricard, and N. Vayatis. An opinion paper on the maintenance of robustness: Towards a multimodal and intergenerational approach using digital twins. Aging Medicine, 2020 |
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| C. Dubost, P. Humbert, L. Oudre, C. Labourdette, N. Vayatis, and P.-P. Vidal. Quantitative assessment of consciousness during anesthesia without EEG data. Journal of Clinical Monitoring and Computing, 2020 |
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| J. Mantilla, D. Wang, I. Bargiotas, J. Wang, J. Cao, L. Oudre, and P.-P. Vidal. Motor style at rest and during locomotion in human. Journal of Neurophysiology, 123(6):2269-2284, 2020 |
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| T. Dot, F. Quijoux, L. Oudre, A. Vienne-Jumeau, A. Moreau, P.-P. Vidal, and D.Ricard. Non-Linear Template-Based Approach for the Study of Locomotion. Sensors, 20(7):1939 , 2020 |
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| A. Vienne-Jumeau, L. Oudre, A. Moreau, F. Quijoux, S. Edmond, M. Dandrieux, E. Legendre, P.-P. Vidal, and D. Ricard. Personalized template-based step detection from Inertial Measurement Units signals in Multiple Sclerosis. Frontiers in Neurology, 11-261, 2020 |
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| C. Truong, L. Oudre, and N. Vayatis. Selective review of offline change point detection methods. Signal Processing, 167:107299, 2020 |
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| P. Humbert, C. Dubost, J. Audiffren, and L. Oudre. Apprenticeship Learning for a Predictive State Representation of Anesthesia. IEEE Transactions on Biomedical Engineering, 67(7):2052-2063, 2020. |
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| C. Truong, L. Oudre, and N. Vayatis. Greedy kernel change point detection. IEEE Transactions on Signal Processing, 67(24):6204-6214, 2019. |
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| C. Truong, R. Barrois-Müller, T. Moreau, C. Provost, A. Vienne-Jumeau, A. Moreau, P.-P. Vidal, N. Vayatis, S. Buffat, A. Yelnik, D. Ricard, and L. Oudre. A Data Set for the Study of Human Locomotion with Inertial Measurements Units. Image Processing On Line, 9:381-390, 2019. |
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| A. Vienne-Jumeau, L. Oudre, A. Moreau, F. Quijoux, P.-P. Vidal, and D. Ricard. Comparing Gait Trials with Greedy Template Matching. Sensors 19(14):3089, 2019 |
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| L. Oudre, R. Barrois-Müller, T. Moreau, C. Truong, A. Vienne-Jumeau, D. Ricard, N. Vayatis, and P.-P. Vidal. Template-Based Step Detection with Inertial Measurement Units. Sensors, 18(11):4033, 2018 |
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| L. Oudre. Interpolation of missing samples in sound signals based on autoregressive modeling. Image Processing On Line, 8:329-344, 2018. |
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| R. Barrois-Müller, D. Ricard, L . Oudre, L. Tlili, C. Provost, A. Vienne, P.-P. Vidal, S. Buffat, and A. Yelnik. Observational Study of 180° Turning Strategies Using Inertial Measurement Units and Fall Risk in Poststroke Hemiparetic Patients. Frontiers in Neurology, 8-194, 2017 |
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| R. Barrois-Müller, T. Gregory, L . Oudre, T. Moreau, C. Truong, A. Pulini, A. Vienne, C. Labourdette, N. Vayatis, S. Buffat, A. Yelnik, C. de Waele, S. Laporte, P.-P. Vidal, and D. Ricard. An Automated Recording Method in Clinical Consultation to Rate the Limp in Lower Limb Osteoarthritis. PloS one, 11(10):e0164975, 2016 |
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| L. Oudre. Automatic detection and removal of impulsive noise in audio signals. Image Processing On Line, 5:267-281, 2015. |
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| L. Oudre. Optimization of the cost function in the Monge-Kantorovich Problem (MKP) under the Monge condition. International Journal of Pattern Recognition and Artificial Intelligence, 28(5):1451006, 2014. |
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| M. Doron, T. Bastian, A. Maire, E. Perrin, L. Oudre, H. Ovigneur, F. Gris, A.-L. Francis, M. Antonakios, and R. Guillemaud. SVELTE: Evaluation device of energy expenditure and physical condition for the prevention and treatment of obesity-related diseases through the analysis of a person's physical activities. IRBM (BioMedical Engineering and Research), 34(2):108-112, 2013. |
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| L. Oudre, J. Jakubowicz, P. Bianchi, and C. Simon. Classification of periodic activities using the Wasserstein distance. IEEE Transactions on Biomedical Engineering, 59(6):1610-1619, 2012. |
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| L. Oudre, C. Févotte, and Y. Grenier. Probabilistic template-based chord recognition. IEEE Transactions on Audio, Speech and Language Processing, 19(8):2249-2259, 2011. |
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| L. Oudre, Y. Grenier, and C. Févotte. Chord recognition by fitting rescaled chroma vectors to chord templates. IEEE Transactions on Audio, Speech and Language Processing, 19(7):2222-2233, 2011. |
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| T. Germain, C. Truong, and L. Oudre. Linear-trend normalization for multivariate subsequence similarity search. In Proceedings of the International Conference on Data Engineering Workshops (ICDEW), Utrecht, Netherlands, 2024. |
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| S. W. Combettes, P. Boniol, C. Truong, and L. Oudre. d_{symb} playground: an interactive tool to explore large multivariate time series datasets. In Proceedings of the International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 2024. |
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| Q. Laborde, A. Mazarguil, and L. Oudre. Graph local-smooth dictionary learning. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 9591-9595, Seoul, North Korea, 2024. |
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| S. W. Combettes, C. Truong, and L. Oudre. An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals. In Proceedings of the International Conference on Data Mining Workshops (ICDMW), pages 533-539, Shanghai, China, 2023. |
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| C. Truong, and L. Oudre. Supervised change-point detection with dimension reduction. In Proceedings of the European Signal Processing Conference (EUSIPCO), pages 1005-1009, Helsinki, Finland, 2023. |
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| S. Perochon, and L. Oudre. Unsupervised Action segmentation of Untrimmed Egocentric Videos. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 1-5, Rhodes, Greece, 2023. |
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| C. Truong, and L. Oudre. Supervised change-point detection with dimension reduction, applied to physiological signals. In NeurIPS Workshop on Learning from Time Series for Health, New Orleans, USA, 2022. |
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| T. Germain, C. Truong, L. Oudre, and E. Krejci. Unsupervised study of plethysmography signals through DTW clustering. In Proceedings of the International Conference of the IEEE Engineering in Medecine and Biology Society (EMBC), pages 3396-3400, Glasgow, Scotland, UK, 2022. |
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| S. Jung, L. Oudre, C. Truong, E. Dorveaux, L. Gorintin, N. Vayatis, and D. Ricard. Adaptive Change-Point Detection for Studying Human Locomotion. In Proceedings of the International Conference of the IEEE Engineering in Medecine and Biology Society (EMBC), pages 2020-2024, Guadalajara, Mexico, 2021. |
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| P. Humbert, L. Oudre, and C. Dubost. Learning spatial filters from EEG signals with Graph Signal Processing methods. In Proceedings of the International Conference of the IEEE Engineering in Medecine and Biology Society (EMBC), pages 657-660, Guadalajara, Mexico, 2021. |
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| A. Dib, C. Truong, L. Oudre, M. Mougeot, N. Vayatis, and H. Nonne. Bayesian Feature Discovery for Predictive Maintenance. In Proceedings of the European Signal Processing Conference (EUSIPCO), pages 1421-1425, Dublin, Ireland, 2021. |
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| T. Gnassounou, P. Humbert, and L. Oudre. Adaptive Subsampling of Multidomain Signals with Graph Products. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 5295-5299, Toronto, Canada, 2021. |
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| A. Mazarguil, L. Oudre, and N. Vayatis. Localized interpolation for graph signals. In Proceedings of the European Signal Processing Conference (EUSIPCO), pages 2160-2164, Amsterdam, The Netherlands, 2020. |
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| C. Lalanne, M. Rateaux, L. Oudre, M. Robert, and T. Moreau. Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding. In Proceedings of the International Conference of the IEEE Engineering in Medecine and Biology Society (EMBC), pages 928-931, Montreal, Canada, 2020. |
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| P. Humbert, J. Audiffren, L. Oudre, and N. Vayatis. Low rank activations for tensor-based convolutional sparse coding. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 3252-3256, Barcelona, Spain, 2020. |
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| P. Humbert, L. Oudre, and N. Vayatis. Subsampling of Multivariate Time-Vertex Graph Signals. In Proceedings of the European Signal Processing Conference (EUSIPCO), pages 1-5, A Coruna, Spain, 2019. |
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| B. Le Bars, P. Humbert, L. Oudre, and A. Kalogeratos. Learning laplacian matrix from bandlimited graph signals. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 2937-2941, Brighton, UK, 2019. |
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| C. Truong, L. Oudre, and N. Vayatis. Supervised kernel change point detection with partial annotations. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 3147-3151, Brighton, UK, 2019. |
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| W. Guilluy, A. Beghdadi, and L. Oudre. A Performance Evaluation Framework for Video Stabilization Methods. In Proceedings of the European Workshop on Visual Information Processing (EUVIP), pages 1-6, Tampere, Finland, 2018. |
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| W. Guilluy, L. Oudre, and A. Beghdadi. Feature Trajectories Selection for Video Stabilization. In Proceedings of the European Signal Processing Conference (EUSIPCO), pages 593-597, Rome, Italy, 2018. |
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| T. Moreau, L. Oudre, and N. Vayatis. DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding. In Proceedings of the International Conference on Machine Learning (ICML), pages 3626-3634, Stockholm, Sweden, 2018. |
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| C. Truong, L. Oudre, and N. Vayatis. Penalty Learning for Changepoint Detection. In Proceedings of the European Signal Processing Conference (EUSIPCO), pages 1614-1618, Kos Island, Greece, 2017. |
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| J. Mantilla, L. Oudre, R. Barrois-Müller, A. Vienne, and D. Ricard. Template-DTW based on inertial signals: preliminary results for step characterization. In Proceedings of the International Conference of the IEEE Engineering in Medecine and Biology Society (EMBC), pages 2267-2270, Jeju Island, Korea, 2017. |
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| P. Humbert, J. Audiffren, C. Dubost, and L. Oudre. Learning from an expert in anesthesia. In NeurIPS Workshop on Machine Learning for Health, Barcelona, Spain, 2016. |
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| T. Moreau , L. Oudre, and N. Vayatis. Distributed Convolutional Sparse Coding via Message Passing Interface. In NeurIPS Workshop on Nonparametric Methods for Large Scale Representation Learning, Montréal, Canada, 2015. |
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| R. Barrois-Müller, L. Oudre, T. Moreau, C. Truong, N. Vayatis, S. Buffat, A. Yelnik, C. de Waele, T. Grégory, S. Laporte, P.P. Vidal, and D. Ricard. Quantify osteoarthritis gait at the doctor's office: a simple pelvis accelerometer based method independent from footwear and aging. Computer Methods in Biomechanics and Biomedical Engineering, 18(Sup1):1880-1881, 2015. |
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| L. Oudre, M. Doron, and C. Simon. Segmentation and classification of dynamic activities from accelerometer signals. InImpact: The Journal of Innovation Impact : Special Edition on Innovation in Medicine and Healthcare, 6(1):66-73, 2013. |
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| N. Limare, L. Oudre, and P. Getreuer. IPOL: Reviewed Publication and Public Testing of Research Software. In Proceedings of the IEEE International Conference on eScience, pages 1-8, Chicago, USA, 2012. |
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| L. Oudre, A. Lung-Yut-Fong, and P. Bianchi. Segmentation of accelerometer signals recorded during continuous treadmill walking. In Proceedings of the European Signal Processing Conference (EUSIPCO), Barcelona, Spain, 2011. |
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| L. Oudre, C. Févotte, and Y. Grenier. Probabilistic framework for template-based chord recognition. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), pages 183-187, St Malo, France, 2010. |
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| T. Rocher, M. Robine, P. Hanna, and L. Oudre. Concurrent estimation of chords and keys from audio. In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), pages 141-146, Utrecht, Netherlands, 2010. |
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| L. Oudre, Y. Grenier, and C. Févotte. Chord recognition using measures of fit, chord templates and filtering methods. In Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pages 9-12, New York, USA, 2009. |
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| L. Oudre, Y. Grenier, and C. Févotte. Template-based chord recognition : influence of the chord types. In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), pages 153-158, Kobe, Japan, 2009. |
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| D. Wang, L. Oudre, and N. Bayle. Troubles de l'équilibre : aspects sensoriels, de la physiologie à la rééducation (A. Yelnik and P. Hermann), chapter 18 Analyse métrologique de l'équilibre: du statique au dynamique, pages 191-205. Elsevier Masson, 2021. | N/A |
| M. Jousse, E. Jelili, R. Barrois, L. Oudre, and A. Yelnik. Troubles de l'équilibre : aspects sensoriels, de la physiologie à la rééducation (A. Yelnik and P. Hermann), chapter 19 Le demi-tour : épreuve à haut risque , coordination motrice et prise d'information sensorielle, pages 206-213. Elsevier Masson, 2021. | N/A |
| L. Oudre, T. Stathaki, and N. Mitianoudis. Image Fusion: Algorithms and Applications (T. Stathaki), chapter Image Fusion Using Optimization of Statistical Measurements, pages 251-272. Academic Press, 2008. |
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| L. Oudre. Contributions en traitement du signal, reconnaissance de formes et apprentissage : applications au son, à la vidéo et aux signaux physiologiques. Habilitation à Diriger des Recherches, Université Paris 13, 2019. | N/A |
| L. Oudre. Template-based chord recognition from audio signals. PhD thesis, TELECOM ParisTech, 2010. |
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| L. Oudre. Study of two new spatial domain image fusion methods. Master's thesis, Imperial College London, 2007. |
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