Ronald PHLYPO
Maître de conférences Grenoble-INP
Equipe Vision and Brain Signal Processing
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : ronald.phlypo@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1122
Tél.33 (0)4 76 82 64 86
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

A Fixed-Point Algorithm for Estimating Power Means of Positive Definite Matrices

Marco Congedo, Ronald Phlypo, Alexandre Barachant. A Fixed-Point Algorithm for Estimating Power Means of Positive Definite Matrices. 24th European Signal Processing Conference (EUSIPCO 2016), Aug 2016, Budapest, Hungary. pp.2016-2010, 24th European Signal Processing Conference (EUSIPCO). <hal-01363817>

Functional connectivity analysis for thalassemia disease based on a graphical lasso model

Julie Coloigner, Ronald Phlypo, Adam Bush, Natasha Lepore, John Wood. Functional connectivity analysis for thalassemia disease based on a graphical lasso model. International Symposium on Biomedical Imaging (ISBI), Apr 2016, Prague, Czech Republic. IEEE, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), pp.1295 - 1298, 2016, <http://biomedicalimaging.org/2016/>. <10.1109/ISBI.2016.7493504>. <hal-01355161>

Blind hyperspectral unmixing using an Extended Linear Mixing Model to address spectral variability

Lucas Drumetz, Miguel-Angel Veganzones, Simon Henrot, Ronald Phlypo, Jocelyn Chanussot, et al.. Blind hyperspectral unmixing using an Extended Linear Mixing Model to address spectral variability. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2016, IEEE Transactions on Image Processing, <http://ieeexplore.ieee.org/Xplore/home.jsp>. <10.1109/TIP.2016.2579259>. <hal-01336279>

Fetal ECG Extraction using piTucker Decomposition

Hassan Akbari, Mohammad Shamsollahi, Ronald Phlypo. Fetal ECG Extraction using piTucker Decomposition. International Conference on Systems, Signals and Image Processing, Sep 2015, Londres, United Kingdom. IEEE, 22nd International Conference on Systems, Signals and Image Processing. <hal-01211202>

Mixed-norm Regularization for Brain Decoding

Rémi Flamary, Nisrine Jrad, Ronald Phlypo, Marco Congedo, Alain Rakotomamonjy. Mixed-norm Regularization for Brain Decoding. Computational and Mathematical Methods in Medicine, Hindawi Publishing Corporation, 2014, 2014, pp.ID 317056. <10.1155/2014/317056>. <hal-00708243v2>

Joint BSS as a natural analysis framework for EEG-hyperscanning

Jonas Chatel-Goldman, Marco Congedo, Ronald Phlypo. Joint BSS as a natural analysis framework for EEG-hyperscanning. 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), May 2013, Vancouver, Canada. Proceedings of ICASSP 2013, pp.1212-1216, 2013. <hal-00831690>

Jacobi iterations for canonical dependence analysis

Ronald Phlypo. Jacobi iterations for canonical dependence analysis. Signal Processing, Elsevier, 2013, 93 (1), pp.185-197. <10.1016/j.sigpro.2012.07.021>. <hal-00998061>

Orthogonal and Non-Orthogonal Joint Blind Source Separation in the Least-Squares Sense

Marco Congedo, Ronald Phlypo, Jonas Chatel-Goldman. Orthogonal and Non-Orthogonal Joint Blind Source Separation in the Least-Squares Sense. 20th European Signal Processing Conference (EUSIPCO-2012), Aug 2012, Bucarest, Romania. pp.1885-1889, 2012. <hal-00737835>

Brain Invaders": a prototype of an open-source P300- based video game working with the OpenViBE platform

Marco Congedo, Matthieu Goyat, Nicolas Tarrin, Gelu Ionescu, Léo Varnet, et al.. "Brain Invaders": a prototype of an open-source P300- based video game working with the OpenViBE platform. 5th International Brain-Computer Interface Conference 2011 (BCI 2011), Sep 2011, Graz, Austria. pp.280-283, 2011. <hal-00641412>

sw-SVM : sensor weighting Support Vector Machines for EEG-based Brain-Computer Interfaces

Nisrine Jrad, Marco Congedo, Ronald Phlypo, Sandra Rousseau, Rémi Flamary, et al.. sw-SVM : sensor weighting Support Vector Machines for EEG-based Brain-Computer Interfaces. Journal of Neural Engineering, IOP Publishing, 2011, 8 (5), pp.056004. <10.1088/1741-2560/8/5/056004>. <hal-00617810>

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal