6 citations · 10 across the 2 of their papers we have counts for
4 papers
Bayesian optimization for sparse neural networks with trainable activation functions
Mohamed Fakhfakh, Lotfi Chaari
In the literature on deep neural networks, there is considerable interest in developing activation functions that can enhance neural network performance. In recent years, there has…
Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach
Lotfi Chaari, Thomas Vincent, Florence Forbes +2
In standard clinical within-subject analyses of event-related fMRI data, two steps are usually performed separately: detection of brain activity and estimation of the hemodynamic r…
Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI
Lotfi Chaari, Sébastien Mériaux, Jean-Christophe Pesquet +1
Parallel MRI is a fast imaging technique that enables the acquisition of highly resolved images in space or/and in time. The performance of parallel imaging strongly depends on the…
A Hierarchical Bayesian Model for Frame Representation
L. Chaâri, J. -C. Pesquet, J. -Y. Tourneret +2
In many signal processing problems, it may be fruitful to represent the signal under study in a frame. If a probabilistic approach is adopted, it becomes then necessary to estimate…