Phonocardiogram Signal Denoising Based on Non-negative Matrix Factorization and Adaptive Contour Representation Computation

Duong-Hung Pham, Sylvain Meignen, Nafissa Dia, Julie Fontecave-Jallon, Bertrand Rivet. Phonocardiogram Signal Denoising Based on Non-negative Matrix Factorization and Adaptive Contour Representation Computation. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2018. 〈hal-01855855〉

Temporal Dynamics of Natural Static Emotional Facial Expressions Decoding: A Study Using Event- and Eye Fixation-Related Potentials

Anne Guérin-Dugué, Raphaelle N. Roy, Emmanuelle Kristensen, Bertrand Rivet, Laurent Vercueil, et al.. Temporal Dynamics of Natural Static Emotional Facial Expressions Decoding: A Study Using Event- and Eye Fixation-Related Potentials. Frontiers in Psychology, Frontiers, 2018, 9, 〈10.3389/fpsyg.2018.01190〉. 〈hal-01837209〉

Quasi-Periodic Non-negative Matrix Factorization for Phonocardiographic signals denoising

Nafissa Dia, Julie Fontecave-Jallon, Pierre-Yves Guméry, Bertrand Rivet. Quasi-Periodic Non-negative Matrix Factorization for Phonocardiographic signals denoising. 10th IEEE Workshop on Sensor Array and Multichannel Signal Processing (SAM 2018), Jul 2018, Sheffield, United Kingdom. 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), pp.390-394, 〈http://www.sam2018.group.shef.ac.uk/〉. 〈hal-01847123〉

Curve Registered Coupled Low Rank Factorization

Jérémy E. Cohen, Rodrigo Cabral Farias, Bertrand Rivet. Curve Registered Coupled Low Rank Factorization. 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2018), Jul 2018, Univ. of Surrey, Guildford, United Kingdom. Springer, Latent Variable Analysis and Signal Separation, 10891, 2018, Theoretical Computer Science and General Issues. 〈hal-01710498〉

Analyzing Emotional Facial Expressions’ Neural Correlates Using Event-Related Potentials and Eye Fixation-Related Potentials

Emmanuelle Kristensen, Raphaëlle N. Roy, Bertrand Rivet, Anna Tcherkassof, Anne Guérin-Dugué. Analyzing Emotional Facial Expressions’ Neural Correlates Using Event-Related Potentials and Eye Fixation-Related Potentials. 19th European Conference on Eye Movements (ECM 2017), Aug 2017, Wuppertal, Germany. 〈hal-01577643〉

Estimation of overlapped Eye Fixation Related Potentials: The General Linear Model, a more flexible framework than the ADJAR algorithm

Emmanuelle Kristensen, Bertrand Rivet, Anne Guérin-Dugué. Estimation of overlapped Eye Fixation Related Potentials: The General Linear Model, a more flexible framework than the ADJAR algorithm. Journal of Eye Movement Research, International Group for Eye Movement Research - University of Bern, Switzerland, 2017, 10 (1), pp.1-27. 〈10.16910/jemr.10.1.7〉. 〈hal-01568579〉

Blind Source Separation in Nonlinear Mixtures: Separability and a Basic Algorithm

Bahram Ehsandoust, Massoud Babaie-Zadeh, Bertrand Rivet, Christian Jutten. Blind Source Separation in Nonlinear Mixtures: Separability and a Basic Algorithm. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (16), pp.4339 - 4352. 〈http://ieeexplore.ieee.org/abstract/document/7934069/〉. 〈10.1109/TSP.2017.2708025〉. 〈hal-01552273〉

Regularization and a general linear model for event-related potential estimation

Emmanuelle Kristensen, Anne Guérin-Dugué, Bertrand Rivet. Regularization and a general linear model for event-related potential estimation. Behavior Research Methods, Psychonomic Society, Inc, 2017, 〈10.3758/s13428-017-0856-z〉. 〈hal-01539867〉

Blind compensation of polynomial mixtures of Gaussian signals with application in nonlinear blind source separation

Bahram Ehsandoust, Bertrand Rivet, Massoud Babaie-Zadeh, Christian Jutten. Blind compensation of polynomial mixtures of Gaussian signals with application in nonlinear blind source separation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. ICASSP 2017 - Proceedings, pp.4681 - 4685, 2017, Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on. 〈http://www.ieee-icassp2017.org0

A Joint Second-Order Statistics and Density Matching-Based Approach for Separation of Post-Nonlinear Mixtures

Denis Fantinato, Leonardo Duarte, Paolo Zanini, Bertrand Rivet, Romis Attux, et al.. A Joint Second-Order Statistics and Density Matching-Based Approach for Separation of Post-Nonlinear Mixtures. Petr Tichavsky; Massoud Babaie-Zadeh; Olivier Michel; Nadège Thirion-Moreau. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. Springer, Latent Variable Analysis and Signal Separation, 10169 (10169), pp.499 - 508, 2017, Theoretica