B. Thirion gave a talk on the machine learning challenges for neuroimaging during the “Horizon Maths” of the FSMP on Dec. 15, 2015. Find more details here.
Nilearn 0.2 is out
The version 0.2.1 has just been released. Please check out the great features: http://nilearn.github.io/whats_new.html
3 internship positions available at Parietal in 2016
Please checkout some internship topics here.
Parietal at the Big Data Business Convention
On Nov. 24-25. We are going to present scikit learn. B. Thirion and A. Gramfort are also going to present.
Please see https://www.universite-paris-saclay.fr/fr/bdbc
Alexandre is defending his PhD thesis on November 30th at Neurospin.
“Learning functional brain atlases modeling inter-subject variability”
Please join us!
Scickit learn 0.17 has been released !
Please see http://scikit-learn.org/stable/whats_new.html for more information.
Scikit learn coding sprint in Paris
Oct 19-23: A coding sprint is taking place in Paris at Criteo. Some information is available here.
Internships at Parietal
Here is a novel opportunity for master and PhD students to spend an internship at Parietal in 2016. Please contact us if you wish to prepare an application. More information is available at: http://www.campusfrance.org/en/Eiffel
Parietal at MICCAI’2015
Please come and see our poster: A1 “Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis” , by Aina, A26 “Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer’s Disease“, by Mehdi, and C23 “Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties“, by Michael
L’utilisation des méga-données – outils, logiciels et contraintes technologiques
Olivier Grisel will discuss these questions at the “Entreprise Agile” Seminary on Oct 9th.
http://www.entreprises.cci-paris-idf.fr/web/innovation/seminaire-entreprise-agile