Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Rémi Flamary

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Frontiers in Neuroscience|March 13, 2012
Decoding Finger Movements from ECoG Signals Using Switching Linear ModelsRémi Flamary, Alain Rakotomamonjy
IEEE Transactions on Neural Networks and Learning Systems|April 25, 2015
DC Proximal Newton for Nonconvex Optimization ProblemsAlain Rakotomamonjy, Rémi Flamary, Gilles Gasso
IEEE Transactions on Neural Networks|August 5, 2011
lp-lq penalty for sparse linear and sparse multiple kernel multitask learningAlain Rakotomamonjy, Rémi Flamary, Gilles Gasso, et al.
NAR Genomics and Bioinformatics|March 10, 2022
Feature selection for kernel methods in systems biologyCéline Brouard, Jérôme Mariette, Rémi Flamary, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 28, 2014
Kernel-based learning from both qualitative and quantitative labels: application to prostate cancer diagnosis based on multiparametric MR imagingÉmilie Niaf, Rémi Flamary, Olivier Rouvière, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroscience|March 13, 2012
Decoding Finger Movements from ECoG Signals Using Switching Linear ModelsRémi Flamary, Alain Rakotomamonjy
IEEE Transactions on Neural Networks and Learning Systems|April 25, 2015
DC Proximal Newton for Nonconvex Optimization ProblemsAlain Rakotomamonjy, Rémi Flamary, Gilles Gasso
IEEE Transactions on Neural Networks|August 5, 2011
lp-lq penalty for sparse linear and sparse multiple kernel multitask learningAlain Rakotomamonjy, Rémi Flamary, Gilles Gasso, et al.
NAR Genomics and Bioinformatics|March 10, 2022
Feature selection for kernel methods in systems biologyCéline Brouard, Jérôme Mariette, Rémi Flamary, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 28, 2014
Kernel-based learning from both qualitative and quantitative labels: application to prostate cancer diagnosis based on multiparametric MR imagingÉmilie Niaf, Rémi Flamary, Olivier Rouvière, et al.
Pageof 1