4 citations · 8 across the 5 of their papers we have counts for
6 papers
Estimation of Time Delay caused by Point Geometry in Public Transport
Muhammad Naeem, Mehdi Katranji, Guilhem Sanmarty +3
Travel time prediction is a well-renowned topic of research. It is primarily influenced by traffic congestion, road conditions and route geometry. Among them route geometry at any…
Multi-task learning of daily work and study round-trips from survey data
Mehdi Katranji, Sami Kraiem, Laurent Moalic +3
In this study, we present a machine learning approach to infer the worker and student mobility flows on daily basis from static censuses. The rapid urbanization has made the estima…
A general multiblock method for structured variable selection
Tommy Löfstedt, Fouad Hadj-Selem, Vincent Guillemot +5
Regularised canonical correlation analysis was recently extended to more than two sets of variables by the multiblock method Regularised generalised canonical correlation analysis…
Structured Sparse Principal Components Analysis with the TV-Elastic Net penalty
Amicie de Pierrefeu, Tommy Löfstedt, Fouad Hadj-Selem +4
Principal component analysis (PCA) is an exploratory tool widely used in data analysis to uncover dominant patterns of variability within a population. Despite its ability to repre…
Continuation of Nesterov's Smoothing for Regression with Structured Sparsity in High-Dimensional Neuroimaging
Fouad Hadj-Selem, Tommy Lofstedt, Elvis Dohmatob +4
Predictive models can be used on high-dimensional brain images for diagnosis of a clinical condition. Spatial regularization through structured sparsity offers new perspectives in…
Predictive support recovery with TV-Elastic Net penalty and logistic regression: an application to structural MRI
Mathieu Dubois, Fouad Hadj-Selem, Tommy Lofstedt +4
The use of machine-learning in neuroimaging offers new perspectives in early diagnosis and prognosis of brain diseases. Although such multivariate methods can capture complex relat…