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10/29/2016
A general multiblock method for structured variable selection
Regularised canonical correlation analysis was recently extended to more...
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09/06/2016
Structured Sparse Principal Components Analysis with the TV-Elastic Net penalty
Principal component analysis (PCA) is an exploratory tool widely used in...
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05/31/2016
Iterative Smoothing Proximal Gradient for Regression with Structured Sparsity
In the context high-dimensionnal predictive models, we consider the prob...
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09/08/2015
Nonlinear functional mapping of the human brain
The field of neuroimaging has truly become data rich, and novel analytic...
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07/21/2014
Predictive support recovery with TV-Elastic Net penalty and logistic regression: an application to structural MRI
The use of machine-learning in neuroimaging offers new perspectives in e...
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01/29/2013