posted by user: sanmi || 3206 views || tracked by 5 users: [display]

STAMLINS 2015 : ICML Workshop on Statistics, Machine Learning and Neuroscience


When Jul 10, 2015 - Jul 10, 2015
Where Lille, France
Submission Deadline May 1, 2015
Notification Due May 10, 2015
Final Version Due Jul 1, 2015
Categories    neuroscience   statistics   machine learning

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 (Telecom ParisTech, CNRS LTCI)

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 (

Related Resources

ICML 2019   36th International Conference on Machine Learning
ICMLA 2019   18th IEEE International Conference on Machine Learning and Applications
ICCV 2019   International Conference on Computer Vision
AISTATS 2019   The 22nd International Conference on Artificial Intelligence and Statistics
ICDMML 2019   【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning
CAIP 2019   Computer Analysis of Images and Patterns
IJCNN 2019   International Joint Conference on Neural Network
COMML 2020   International Conference on Optimization, Metaheuristics and Machine Learning
COLT 2019   Computational Learning Theory
Journal Special Issue 2019   Machine Learning on Scientific Data and Information