26 octobre 2015
Fuseau horaire Europe/Paris

Session

Session 2

26 oct. 2015, 14:00

Documents de présentation

Aucun document.

  1. Miguel Colom (ENS-Cachan/CMLA)
    26/10/2015 14:00
    Nowadays it is possible to online collect, classify, and process data with the proper software platforms. Along with advances in signal processing and "big data" algorithms we can use them as research facilities or even as automatic diagnostic tools. Specifically, we are building such a platform applied to physiological signals. It involves a large group of researchers in mathematics, software...
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  2. Diem Bui Thi
    26/10/2015 14:20
    Chemical data acquired from different analytical techniques and disparate analytics platforms has become high volume and lacks of well organized. The raw data is formed under several different proprietary formats. All data requires to convert to a common open data formats for storage, analysis, pre-treatment and treatment. The current scientific workflows are manually done and requires a...
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  3. Estelle Chaix (INRA/MIG)
    26/10/2015 14:40
  4. Loïc Estève (INRIA)
    26/10/2015 15:30
    This talk will present useful patterns and lessons learned for efficient application of machine learning to data too big to fit in memory, in the context of brain imaging applications. The focus here is sharing insights gained while using and developing nilearn and joblib, as many of the lessons are not specific to brain imaging.
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  5. Jonathan Duperrier (CNRS)
    26/10/2015 15:50
  6. Nicolas Goix (Telecom Paristech)
    26/10/2015 16:10
  7. Romain Brault (CNRS/IBISC)
    26/10/2015 16:25
  8. Andreas Mueller (NYU)
    26/10/2015 16:40
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