output
20102018
most citedBrain covariance selection: better individual functional connectivity models using population prior

166 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

physics.soc-ph2018★ 1 cited

About Network Structures and Systems Complexity

Olexandr Polishchuk

This paper provides the analysis for structural and functional approaches of complex network systems research. In order to study the behavior of these systems the flow adjacency ma…

math.ST2013★ 3 cited

Travelling salesman-based compressive sampling

Nicolas Chauffert, Philippe Ciuiu, Jonas Kahn +1

Compressed sensing theory indicates that selecting a few measurements independently at random is a near optimal strategy to sense sparse or compressible signals. This is infeasible…

stat.ML2012

Improving accuracy and power with transfer learning using a meta-analytic database

Yannick Schwartz, Gaël Varoquaux, Christophe Pallier +3

Typical cohorts in brain imaging studies are not large enough for systematic testing of all the information contained in the images. To build testable working hypotheses, investiga…

stat.ML2010★ 166 cited

Brain covariance selection: better individual functional connectivity models using population prior

Gaël Varoquaux, Alexandre Gramfort, Jean Baptiste Poline +1

Spontaneous brain activity, as observed in functional neuroimaging, has been shown to display reproducible structure that expresses brain architecture and carries markers of brain…

stat.AP2010★ 4 cited

ICA-based sparse feature recovery from fMRI datasets

Gaël Varoquaux, Merlin Keller, Jean Baptiste Poline +2

Spatial Independent Components Analysis (ICA) is increasingly used in the context of functional Magnetic Resonance Imaging (fMRI) to study cognition and brain pathologies. Salient…