default search action
Lotfi Chaâri
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j16]Amal Boudaya, Siwar Chaabene, Bassem Bouaziz, Anita Hökelmann, Lotfi Chaâri:
Mild Cognitive Impairment detection based on EEG and HRV data. Digit. Signal Process. 147: 104399 (2024) - [j15]Mohamed Fakhfakh, Lotfi Chaâri:
Bayesian Optimization for Sparse Neural Networks With Trainable Activation Functions. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6699-6712 (2024) - [j14]Thierry Roland Baban A Erep, Lotfi Chaâri:
mid-DeepLabv3+: A Novel Approach for Image Semantic Segmentation Applied to African Food Dietary Assessments. Sensors 24(1): 209 (2024) - [c35]Mohamed Fakhfakh, Lotfi Chaâri:
Fully Automatic Bayesian Method for Trainable Activation Function and Deep Neural Networks. EUSIPCO 2024: 1551-1555 - [c34]Wafae Labriji, Soléakhéna Ken, Gaelle Dormio, Jean-Yves Tourneret, Elizabeth Moyal Cohen-Jonathan, Lotfi Chaâri:
Bayesian Sparse Model for Complex-Valued Magnetic Resonance Spectroscopy Restoration. ISBI 2024: 1-5 - [c33]Thierry Roland Baban A Erep, Lotfi Chaâri, Pierre Ele, Eugene Sobngwi:
ESeNet-D : Efficient Semantic Segmentation for RGB-Depth Food Images. MLSP 2024: 1-6 - [e2]Akram Bennour, Ahmed Bouridane, Lotfi Chaâri:
Intelligent Systems and Pattern Recognition - Third International Conference, ISPR 2023, Hammamet, Tunisia, May 11-13, 2023, Revised Selected Papers, Part I. Communications in Computer and Information Science 1940, Springer 2024, ISBN 978-3-031-46334-1 [contents] - [e1]Akram Bennour, Ahmed Bouridane, Lotfi Chaâri:
Intelligent Systems and Pattern Recognition - Third International Conference, ISPR 2023, Hammamet, Tunisia, May 11-13, 2023, Revised Selected Papers, Part II. Communications in Computer and Information Science 1941, Springer 2024, ISBN 978-3-031-46337-2 [contents] - 2023
- [j13]Mohamed Fakhfakh, Lotfi Chaâri, Bassem Bouaziz, Faïez Gargouri:
Non-smooth Bayesian learning for artificial neural networks. J. Ambient Intell. Humaniz. Comput. 14(10): 13813-13831 (2023) - [c32]Ibrahim Traoré, Imen Megdiche, Jérôme Marquet-Doléac, Lotfi Chaâri:
A machine learning technique for device non-wear detection in children with ADHD. AICCSA 2023: 1-6 - [c31]Ibrahim Traoré, Imen Megdiche, Jérôme Marquet-Doléac, Lotfi Chaâri:
A Cross-Validation Approach for Classifying Physical Activity Intensity : A Case Study in Children with Attention Deficit/Hyperactivity Disorder. AICCSA 2023: 1-8 - [c30]Siwar Chaabene, Brahim Haroun Hassan, Amal Boudaya, Lotfi Chaâri, Bassem Bouaziz:
New MCI Detection Method Based on Transformer and EEG Data. EUSIPCO 2023: 1200-1204 - [c29]Siwar Chaabene, Bassem Bouaziz, Amal Boudaya, Lotfi Chaâri, Anita Hökelmann:
Early mild cognitive impairment detection using cognitive-motor tasks and machine learning. INISTA 2023: 1-6 - [c28]Mohamed Fakhfakh, Lotfi Chaâri:
A fully automatic Bayesian model for adaptive activation functions in artificial neural networks. INISTA 2023: 1-6 - [c27]Mohamad Suhairi Md Subhi, Willem Nicolas, Akina Renard, Gabriela Maria Garcia Romero, Meriem Ouederni, Lotfi Chaâri:
How AI can Advance Model Driven Engineering Method ? ISPR (2) 2023: 113-125 - [i3]Mohamed Fakhfakh, Lotfi Chaâri:
Bayesian optimization for sparse neural networks with trainable activation functions. CoRR abs/2304.04455 (2023) - 2022
- [c26]Mohamed Fakhfakh, Bassem Bouaziz, Lotfi Chaâri, Faïez Gargouri:
Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks. IDA 2022: 78-88 - [c25]Mohamed Fakhfakh, Bassem Bouaziz, Faïez Gargouri, Lotfi Chaâri:
Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks. ISBI 2022: 1-4 - 2021
- [j12]Siwar Chaabene, Bassem Bouaziz, Amal Boudaya, Anita Hökelmann, Achraf Ammar, Lotfi Chaâri:
Convolutional Neural Network for Drowsiness Detection Using EEG Signals. Sensors 21(5): 1734 (2021) - [j11]Walma Gharbi, Lotfi Chaâri, Amel Benazza-Benyahia:
Unsupervised Bayesian change detection for remotely sensed images. Signal Image Video Process. 15(1): 205-213 (2021) - [c24]Guillaume Geoffroy, Lotfi Chaâri, Jean-Yves Tourneret, Herwig Wendt:
Drowsiness Detection Using Joint EEG-ECG Data With Deep Learning. EUSIPCO 2021: 955-959 - 2020
- [j10]Mohamed Fakhfakh, Lotfi Chaâri, Nizar Fakhfakh:
Bayesian curved lane estimation for autonomous driving. J. Ambient Intell. Humaniz. Comput. 11(10): 4133-4143 (2020) - [j9]Siwar Chaabene, Lotfi Chaâri, Abdelaziz Kallel:
Bayesian sparse regularization for parallel MRI reconstruction using complex Bernoulli-Laplace mixture priors. Signal Image Video Process. 14(3): 445-453 (2020) - [c23]Amal Boudaya, Bassem Bouaziz, Siwar Chaabene, Lotfi Chaâri, Achraf Ammar, Anita Hökelmann:
EEG-Based Hypo-vigilance Detection Using Convolutional Neural Network. ICOST 2020: 69-78 - [c22]Sana Zorgui, Siwar Chaabene, Bassem Bouaziz, Hadj Batatia, Lotfi Chaâri:
A Convolutional Neural Network for Lentigo Diagnosis. ICOST 2020: 89-99
2010 – 2019
- 2019
- [j8]Lotfi Chaâri:
A Bayesian grouplet transform. Signal Image Video Process. 13(5): 871-878 (2019) - 2018
- [c21]Walma Gharbi, Lotfi Chaâri, Amel Benazza-Benyahia:
Bayesian Vehicle Detection Using Optical Remote Sensing Images. ACIVS 2018: 258-269 - [c20]Lotfi Chaâri, Jean-Yves Tourneret, Hadj Batatia:
A Plug and Play Bayesian Algorithm for Solving Myope Inverse Problems. EUSIPCO 2018: 737-741 - [c19]Mohamed Fakhfakh, Nizar Fakhfakh, Lotfi Chaâri:
Robust Lane Extraction Using Two-Dimension Declivity. ICAISC (2) 2018: 14-24 - 2017
- [j7]Mohanad Albughdadi, Lotfi Chaâri, Jean-Yves Tourneret, Florence Forbes, Philippe Ciuciu:
A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation. Signal Process. 135: 132-146 (2017) - [c18]Lotfi Chaâri, Jean-Yves Tourneret, Hadj Batatia:
A general non-smooth Hamiltonian Monte Carlo scheme using Bayesian proximity operator calculation. EUSIPCO 2017: 1220-1224 - 2016
- [j6]Lotfi Chaâri, Jean-Yves Tourneret, Caroline Chaux, Hadj Batatia:
A Hamiltonian Monte Carlo Method for Non-Smooth Energy Sampling. IEEE Trans. Signal Process. 64(21): 5585-5594 (2016) - [c17]Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu:
Multi-subject joint parcellation detection estimation in functional MRI. ISBI 2016: 74-77 - [c16]Andrea Laruelo, Lotfi Chaâri, Soléakhéna Ken, Jean-Yves Tourneret, Hadj Batatia, Anne Laprie:
MRSI data unmixing using spatial and spectral priors in transformed domains. ISBI 2016: 952-955 - [c15]Siwar Chaabene, Lotfi Chaâri:
Bayesian myopic parallel MRI reconstruction. ISIVC 2016: 103-108 - [c14]Mohanad Albughdadi, Lotfi Chaâri, Jean-Yves Tourneret:
Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI. MIAR 2016: 247-258 - 2015
- [j5]Facundo Costa, Hadj Batatia, Lotfi Chaâri, Jean-Yves Tourneret:
Sparse EEG Source Localization Using Bernoulli Laplacian Priors. IEEE Trans. Biomed. Eng. 62(12): 2888-2898 (2015) - [c13]Lotfi Chaâri, Jean-Yves Tourneret, Caroline Chaux:
Sparse signal recovery using a Bernoulli generalized Gaussian prior. EUSIPCO 2015: 1711-1715 - 2014
- [c12]Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu:
Model selection for hemodynamic brain parcellation in FMRI. EUSIPCO 2014: 31-35 - [c11]Lotfi Chaâri, Hadj Batatia, Nicolas Dobigeon, Jean-Yves Tourneret:
A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization. ICASSP 2014: 1901-1905 - 2013
- [j4]Lotfi Chaâri, Thomas Vincent, Florence Forbes, Michel Dojat, Philippe Ciuciu:
Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach. IEEE Trans. Medical Imaging 32(5): 821-837 (2013) - [c10]Andrea Laruelo, Lotfi Chaâri, Hadj Batatia, Soléakhéna Ken, Benjamin Rowland, Anne Laprie, Jean-Yves Tourneret:
Hybrid sparse regularization for magnetic resonance spectroscopy. EMBC 2013: 6768-6771 - [c9]Lotfi Chaâri, Jean-Yves Tourneret, Hadj Batatia:
Sparse Bayesian regularization using Bernoulli-Laplacian priors. EUSIPCO 2013: 1-5 - 2012
- [c8]Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu:
Robust voxel-wise joint detection estimation of brain activity in fMRI. ICIP 2012: 1273-1276 - [c7]Christine Bakhous, Thomas Forbes, Thomas Vincent, Lotfi Chaâri, Michel Dojat, Philippe Ciuciu:
Adaptive experimental condition selection in event-related fMRI. ISBI 2012: 1755-1758 - [c6]Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu:
Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework. MICCAI (3) 2012: 180-188 - [i2]Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Jean-Christophe Pesquet, Philippe Ciuciu:
Multidimensional Wavelet-based Regularized Reconstruction for Parallel Acquisition in Neuroimaging. CoRR abs/1201.0022 (2012) - 2011
- [j3]Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu:
A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging. Medical Image Anal. 15(2): 185-201 (2011) - [j2]Lotfi Chaâri, Emilie Chouzenoux, Nelly Pustelnik, Caroline Chaux, Saïd Moussaoui:
OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille. Traitement du Signal 28(3-4): 329-374 (2011) - [c5]Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Philippe Ciuciu, Jean-Christophe Pesquet:
3D wavelet-based regularization for parallel MRI reconstruction: Impact on subject and group-level statistical sensitivity in fMRI. ISBI 2011: 460-464 - [c4]Lotfi Chaâri, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu:
Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI. MICCAI (2) 2011: 260-268 - [i1]Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Jean-Christophe Pesquet, Philippe Ciuciu:
4D Wavelet-Based Regularization for Parallel MRI Reconstruction: Impact on Subject and Group-Levels Statistical Sensitivity in fMRI. CoRR abs/1103.3532 (2011) - 2010
- [b1]Lotfi Chaâri:
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). University of Paris-Est, France, 2010 - [j1]Lotfi Chaâri, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia:
A hierarchical Bayesian model for frame representation. IEEE Trans. Signal Process. 58(11): 5560-5571 (2010) - [c3]Lotfi Chaâri, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia:
A hierarchical Bayesian model for frame representation. ICASSP 2010: 4086-4089
2000 – 2009
- 2009
- [c2]Lotfi Chaâri, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Philippe Ciuciu:
Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors. ICIP 2009: 1725-1728 - 2008
- [c1]Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu:
Autocalibrated regularized parallel mri reconstruction in the wavelet domain. ISBI 2008: 756-759
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-30 00:18 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint