[Eeglablist] ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015)

Lars Kai Hansen lars.kai.hansen at gmail.com
Mon Apr 6 09:59:02 PDT 2015

(Please forgive us for cross posting - this may be of interest to some
in this list)

ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015)
Submission Deadline: May 1, 2015

Call for Papers
In the last decade, machine learning has had a growing influence on
neuroimaging data handling and analysis, making it an ubiquitous
component of all kinds of data analysis procedures and software. While
it is clear that machine learning has the potential to revolutionize
both scientific discovery and clinical diagnosis applications,
continued progress requires close collaboration between statisticians,
machine learning practitioners and neuroscientists. Our workshop goals
are to highlight best practices, disseminate the state of the art in
high dimensional methods and related tools with a focus on application
to neuroimaging data analysis, and to facilitate discussions to
identify the key open problems and opportunities for machine learning
in neuroscience.

Topics of interest include:
 - exploratory and predictive modelling of high-dimensional correlated
volumic data e.g. fMRI and PET with emphasis on:
    - applications to cognitive modelling and diagnosis
    - resting state analyses
    - interpretation and visualization of results
    - statistical analysis for parameter recovery
    - advances in scalable techniques and computational infrastructure
 - structured prediction problems in neuroscience e.g. multilabel
classification for mental processes and network prediction.
 - de-noising and predictive modelling for brain-computer interfaces
 - source localization for EEG and MEG
 - deep learning and convolutional networks for neuroscience

Invited Speakers
Pradeep Ravikumar (University of Texas at Austin)
Morten Mørup (Technical University of Denmark)
Alexandre Gramfort (Ecole Nationale Supérieure des Télécomunications)

We invite submissions for original papers that introduce new research
developments, directions, frameworks, results, etc. in these and
related areas. We also invite submissions of recently published
high-quality work. Though, we note that preference will be given to
original contributions. Potential participants may submit full papers
(up to 8 pages in length in ICML format) or short papers (extended
abstracts, 2-4 pages in length) by May 1, 2015 sent electronically via
the online submission site:
Acceptance notification: May 10th, 2015

The workshop is semi-archival: materials will be published on the
website with the authors permission. The authors retain the copyright
and the rights to resubmit and publish at other venues.

Organizing Committee
Bertrand Thirion (Inria-CEA)
Lars Kai Hansen (Technical University of Denmark)
Sanmi Koyejo (Stanford University)

For further information, please contact Sanmi Koyejo (sanmi at stanford.edu)

Prof. Lars Kai Hansen
DTU Compute - Dept. Applied Mathematics and Computer Science
Technical University of Denmark B321
DK-2800 Kgs. Lyngby - DENMARK
Tel: (+45) 45253889 Cell: (+45) 51801473
Email: lkai at dtu.dk
Gmail: lars.kai.hansen at gmail.com
WWW: www.imm.dtu.dk/~lkh

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