Lotfi Chaâri

Orcid: 0000-0002-3590-0370

According to our database1, Lotfi Chaâri authored at least 53 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bayesian Optimization for Sparse Neural Networks With Trainable Activation Functions.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

mid-DeepLabv3+: A Novel Approach for Image Semantic Segmentation Applied to African Food Dietary Assessments.
Sensors, 2024

Mild Cognitive Impairment detection based on EEG and HRV data.
Digit. Signal Process., 2024

ESeNet-D : Efficient Semantic Segmentation for RGB-Depth Food Images.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Bayesian Sparse Model for Complex-Valued Magnetic Resonance Spectroscopy Restoration.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Fully Automatic Bayesian Method for Trainable Activation Function and Deep Neural Networks.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Non-smooth Bayesian learning for artificial neural networks.
J. Ambient Intell. Humaniz. Comput., October, 2023

How AI can Advance Model Driven Engineering Method ?
Proceedings of the Intelligent Systems and Pattern Recognition, 2023

A fully automatic Bayesian model for adaptive activation functions in artificial neural networks.
Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023

Early mild cognitive impairment detection using cognitive-motor tasks and machine learning.
Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023

New MCI Detection Method Based on Transformer and EEG Data.
Proceedings of the 31st European Signal Processing Conference, 2023

A Cross-Validation Approach for Classifying Physical Activity Intensity : A Case Study in Children with Attention Deficit/Hyperactivity Disorder.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

A machine learning technique for device non-wear detection in children with ADHD.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022
Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

2021
Unsupervised Bayesian change detection for remotely sensed images.
Signal Image Video Process., 2021

Convolutional Neural Network for Drowsiness Detection Using EEG Signals.
Sensors, 2021

Drowsiness Detection Using Joint EEG-ECG Data With Deep Learning.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Bayesian sparse regularization for parallel MRI reconstruction using complex Bernoulli-Laplace mixture priors.
Signal Image Video Process., 2020

Bayesian curved lane estimation for autonomous driving.
J. Ambient Intell. Humaniz. Comput., 2020

A Convolutional Neural Network for Lentigo Diagnosis.
Proceedings of the Impact of Digital Technologies on Public Health in Developed and Developing Countries, 2020

EEG-Based Hypo-vigilance Detection Using Convolutional Neural Network.
Proceedings of the Impact of Digital Technologies on Public Health in Developed and Developing Countries, 2020

2019
A Bayesian grouplet transform.
Signal Image Video Process., 2019

2018
Robust Lane Extraction Using Two-Dimension Declivity.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

A Plug and Play Bayesian Algorithm for Solving Myope Inverse Problems.
Proceedings of the 26th European Signal Processing Conference, 2018

Bayesian Vehicle Detection Using Optical Remote Sensing Images.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

2017
A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation.
Signal Process., 2017

A general non-smooth Hamiltonian Monte Carlo scheme using Bayesian proximity operator calculation.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
A Hamiltonian Monte Carlo Method for Non-Smooth Energy Sampling.
IEEE Trans. Signal Process., 2016

Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

Bayesian myopic parallel MRI reconstruction.
Proceedings of the International Symposium on Signal, Image, Video and Communications, 2016

MRSI data unmixing using spatial and spectral priors in transformed domains.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Multi-subject joint parcellation detection estimation in functional MRI.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Sparse EEG Source Localization Using Bernoulli Laplacian Priors.
IEEE Trans. Biomed. Eng., 2015

Sparse signal recovery using a Bernoulli generalized Gaussian prior.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Model selection for hemodynamic brain parcellation in FMRI.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach.
IEEE Trans. Medical Imaging, 2013

Sparse Bayesian regularization using Bernoulli-Laplacian priors.
Proceedings of the 21st European Signal Processing Conference, 2013

Hybrid sparse regularization for magnetic resonance spectroscopy.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Multidimensional Wavelet-based Regularized Reconstruction for Parallel Acquisition in Neuroimaging
CoRR, 2012

Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Adaptive experimental condition selection in event-related fMRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Robust voxel-wise joint detection estimation of brain activity in fMRI.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille.
Traitement du Signal, 2011

A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging.
Medical Image Anal., 2011

4D Wavelet-Based Regularization for Parallel MRI Reconstruction: Impact on Subject and Group-Levels Statistical Sensitivity in fMRI
CoRR, 2011

Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

3D wavelet-based regularization for parallel MRI reconstruction: Impact on subject and group-level statistical sensitivity in fMRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Parallel magnetic resonance imaging reconstruction problems using wavelet representations. (Problèmes de reconstruction en imagerie par résonance magnétique parallèle à l'aide de représentations en ondelettes).
PhD thesis, 2010

A hierarchical Bayesian model for frame representation.
IEEE Trans. Signal Process., 2010

2009
Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors.
Proceedings of the International Conference on Image Processing, 2009

2008
Autocalibrated regularized parallel mri reconstruction in the wavelet domain.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008


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