http://scikit-learn.org/stable/whats_new.html#version-0-19-1
Category: Uncategorized
new 0.15 release of MNE-Python
We are very pleased to announce the new 0.15 release of MNE-Python. This release comes with new features, bug fixes, and many improvements to usability, visualization, and documentation.
For a full list of improvements and API changes, see:
http://martinos.org/mne/stable/whats_new.html#version-0-15
Parietal at Rencontre Inria Industrie in Paris
Olivier Grisel has presented scikit learn. See
Rencontre #Inria_industrie 17&18oct #IoT #sécurité #données, #ML pr #IA https://t.co/BGxwFy92jd @CCI_Paris_IdF @Cap_Digital @Pole_Systematic
— Inria_Saclay (@Inria_Saclay) October 12, 2017
Causality and big data
B.thirion has taken part to the “Causality & Big Data” maating organized by CEA on Oct 18th.
http://www.cea.fr/drf/Pages/Inscriptions/Amphybio-2017.aspx
AmPhyBio v1.0: #BigData, corrélation, causalité, avec @EtienneKlein @BertrandThirion … @NeuroSpin_91 @CEAParisSaclay
— V van Wassenhove (@virginie_vw) October 18, 2017
New paper: FReM – brain decoding with best trade-off on predictive power, speed, and stability
PhD Defense of Elvis Dohmatob
Will take place on Tuesday, Sept 26th in Neurospin amphitheater. The thesis is entitled “Enhancement of functional brain connectome analysis by the use of deformable models in the estimation of spatial decompositions of the brain images”,
and the committee includes:
- John Ashburner
- Gabriel Peyré
- Moritz Grosse-Wentrup
- Marc Schoenauer
- G. Varoquaux et B.Thirion (supervisers)
See you there !
Parietal@CCN 2017
Jérôme Dockès is presenting a poster “Relating Brain Structures To Open-Ended Descriptions Of Cognition”: a rigorous machine learning setting for meta-analysis.
Parietal@ 2nd Annual CRN Coding Sprint
Elvis and Martin are staying there to work on BIDS, fmriprep, nistats….
More information here: http://reproducibility.stanford.edu/2nd-annual-crn-coding-sprint-open-call-for-applications/
Decoding fMRI activity in the time domain improves classification performance
Now on HAL: https://hal.inria.fr/hal-01576641
Great work by @joaoloula.
Parietal@Euroscipy2017
Euroscipy 2017 (https://www.euroscipy.org/2017/) is taking place at Erlangen Germany, Aug 28-Sept 1st, with very active participation from Parietal fellows:
- [Aug 29th] Scipy Tutorial by G. Varoquaux
- [Aug 28th] Scikit-Learn Tutorial by O. Grisel
- [Aug 28th] Pandas Tutorial by J. van de Bossche
- [Aug 28th] Python Tutorial by G.Lemaitre
- [Aug 30th] presentation of GeoPandas by J. van de Bossche
- [Aug 31st] presentation of imbalanced-learn by G.Lemaitre
- [Aug 31st] Tricks for Efficient Multicore Computing by O.Grisel
See you there !
