Lotfi Chaâri - RankMe

68 papers B 5C 9Misc 2Journal 22Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Multi-LLM Agent System for Modular Ontology Population: A Case Study on ADHD. ICAART (4) Ibrahim Traoré, Yassine Belmabrouk, Imen Megdiche, Abdel-Rahman H. Tawil, Jérôme Marquet-Doléac, Lotfi Chaâri
2026	—	`conf`	Generative Transformer-Based Cross-Modal EEG-HRV Fusion for MCI Detection. ICAART (4) Amal Boudaya, Siwar Chaabene, Bassem Bouaziz, Lotfi Chaâri
2026	—	`conf`	TRACT: A Transformer and Statistical Framework for Anomaly Detection in Multivariate Non-Stationary Time Series. ICAART (2) Ibrahim Traoré, Imen Megdiche, Jérôme Marquet-Doléac, Lotfi Chaâri
2025	J	`jnl`	A Gabor-enhanced deep learning approach with dual-attention for 3D MRI brain tumor segmentation. Comput. Biol. Medicine Ekram Chamseddine, Lotfi Tlig, Lotfi Chaâri, Mounir Sayadi
2025	B	`conf`	A Semantic Framework for the Contextual Interpretation of ADHD Symptom Manifestations. K-CAP Ibrahim Traoré, Abdel-Rahman H. Tawil, Konstantinos Vlachos, Imen Megdiche, Jérôme Marquet-Doléac, Lotfi Chaâri
2025	C	`conf`	AgriPotential: A Novel Multi-Spectral and Multi-Temporal Remote Sensing Dataset for Agricultural Potentials. CBMI Mohammad El Sakka, Caroline De Pourtales, Lotfi Chaâri, Josiane Mothe
2025	J	`jnl`	AgriPotential: A Novel Multi-Spectral and Multi-Temporal Remote Sensing Dataset for Agricultural Potentials. CoRR Mohammad El Sakka, Caroline De Pourtales, Lotfi Chaâri, Josiane Mothe
2025	J	`jnl`	An overview of methods and techniques in multimodal data fusion with application to healthcare. Int. J. Data Sci. Anal. Siwar Chaabene, Amal Boudaya, Bassem Bouaziz, Lotfi Chaâri
2025	—	`conf`	Attack Originality Detector Using Machine Learning. ITASEC/SERICS Charlotte Millan, Lotfi Chaâri, Amel Aissaoui, Eric Gilbert
2025	C	`conf`	GABrain-Net : An Optimized Gabor-Integrated U-Net for Multimodal Brain Tumor MRI Segmentation. CoDIT Ekram Chamseddine, Lotfi Tlig, Lotfi Chaâri, Mounir Sayadi
2024	J	`jnl`	Bayesian Optimization for Sparse Neural Networks With Trainable Activation Functions. IEEE Trans. Pattern Anal. Mach. Intell. Mohamed Fakhfakh, Lotfi Chaâri
2024	—	`conf`	Bayesian Sparse Model for Complex-Valued Magnetic Resonance Spectroscopy Restoration. ISBI Wafae Labriji, Soléakhéna Ken, Gaelle Dormio, Jean-Yves Tourneret, Elizabeth Moyal Cohen-Jonathan, Lotfi Chaâri
2024	—	`conf`	ESeNet-D : Efficient Semantic Segmentation for RGB-Depth Food Images. MLSP Thierry Roland Baban A Erep, Lotfi Chaâri, Pierre Ele, Eugene Sobngwi
2024	—	`conf`	Fully Automatic Bayesian Method for Trainable Activation Function and Deep Neural Networks. EUSIPCO Mohamed Fakhfakh, Lotfi Chaâri
2024	—	`ed.`	Intelligent Systems and Pattern Recognition - Third International Conference, ISPR 2023, Hammamet, Tunisia, May 11-13, 2023, Revised Selected Papers, Part I ISPR (1) Akram Bennour, Ahmed Bouridane, Lotfi Chaâri
2024	—	`ed.`	Intelligent Systems and Pattern Recognition - Third International Conference, ISPR 2023, Hammamet, Tunisia, May 11-13, 2023, Revised Selected Papers, Part II ISPR (2) Akram Bennour, Ahmed Bouridane, Lotfi Chaâri
2024	C	`conf`	MDE in the Era of Generative AI. VECoS Ahmed Alaoui Mdaghri, Meriem Ouederni, Lotfi Chaâri
2024	J	`jnl`	Mild Cognitive Impairment detection based on EEG and HRV data. Digit. Signal Process. Amal Boudaya, Siwar Chaabene, Bassem Bouaziz, Anita Hökelmann, Lotfi Chaâri
2024	J	`jnl`	mid-DeepLabv3+: A Novel Approach for Image Semantic Segmentation Applied to African Food Dietary Assessments. Sensors Thierry Roland Baban A Erep, Lotfi Chaâri
2023	C	`conf`	A Cross-Validation Approach for Classifying Physical Activity Intensity : A Case Study in Children with Attention Deficit/Hyperactivity Disorder. AICCSA Ibrahim Traoré, Imen Megdiche, Jérôme Marquet-Doléac, Lotfi Chaâri
2023	C	`conf`	A fully automatic Bayesian model for adaptive activation functions in artificial neural networks. INISTA Mohamed Fakhfakh, Lotfi Chaâri
2023	C	`conf`	A machine learning technique for device non-wear detection in children with ADHD. AICCSA Ibrahim Traoré, Imen Megdiche, Jérôme Marquet-Doléac, Lotfi Chaâri
2023	J	`jnl`	Bayesian optimization for sparse neural networks with trainable activation functions. CoRR Mohamed Fakhfakh, Lotfi Chaâri
2023	C	`conf`	Early mild cognitive impairment detection using cognitive-motor tasks and machine learning. INISTA Siwar Chaabene, Bassem Bouaziz, Amal Boudaya, Lotfi Chaâri, Anita Hökelmann
2023	—	`conf`	How AI can Advance Model Driven Engineering Method ? ISPR (2) Mohamad Suhairi Md Subhi, Willem Nicolas, Akina Renard, Gabriela Maria Garcia Romero, Meriem Ouederni, Lotfi Chaâri
2023	—	`conf`	New MCI Detection Method Based on Transformer and EEG Data. EUSIPCO Siwar Chaabene, Brahim Haroun Hassan, Amal Boudaya, Lotfi Chaâri, Bassem Bouaziz
2023	J	`jnl`	Non-smooth Bayesian learning for artificial neural networks. J. Ambient Intell. Humaniz. Comput. Mohamed Fakhfakh, Lotfi Chaâri, Bassem Bouaziz, Faïez Gargouri
2022	—	`conf`	Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks. ISBI Mohamed Fakhfakh, Bassem Bouaziz, Faïez Gargouri, Lotfi Chaâri
2022	B	`conf`	Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks. IDA Mohamed Fakhfakh, Bassem Bouaziz, Lotfi Chaâri, Faïez Gargouri
2021	J	`jnl`	Convolutional Neural Network for Drowsiness Detection Using EEG Signals. Sensors Siwar Chaabene, Bassem Bouaziz, Amal Boudaya, Anita Hökelmann, Achraf Ammar, Lotfi Chaâri
2021	—	`conf`	Drowsiness Detection Using Joint EEG-ECG Data With Deep Learning. EUSIPCO Guillaume Geoffroy, Lotfi Chaâri, Jean-Yves Tourneret, Herwig Wendt
2021	J	`jnl`	Unsupervised Bayesian change detection for remotely sensed images. Signal Image Video Process. Walma Gharbi, Lotfi Chaâri, Amel Benazza-Benyahia
2020	C	`conf`	A Convolutional Neural Network for Lentigo Diagnosis. ICOST Sana Zorgui, Siwar Chaabene, Bassem Bouaziz, Hadj Batatia, Lotfi Chaâri
2020	J	`jnl`	Bayesian curved lane estimation for autonomous driving. J. Ambient Intell. Humaniz. Comput. Mohamed Fakhfakh, Lotfi Chaâri, Nizar Fakhfakh
2020	J	`jnl`	Bayesian sparse regularization for parallel MRI reconstruction using complex Bernoulli-Laplace mixture priors. Signal Image Video Process. Siwar Chaabene, Lotfi Chaâri, Abdelaziz Kallel
2020	C	`conf`	EEG-Based Hypo-vigilance Detection Using Convolutional Neural Network. ICOST Amal Boudaya, Bassem Bouaziz, Siwar Chaabene, Lotfi Chaâri, Achraf Ammar, Anita Hökelmann
2019	J	`jnl`	A Bayesian grouplet transform. Signal Image Video Process. Lotfi Chaâri
2018	—	`conf`	A Plug and Play Bayesian Algorithm for Solving Myope Inverse Problems. EUSIPCO Lotfi Chaâri, Jean-Yves Tourneret, Hadj Batatia
2018	B	`conf`	Bayesian Vehicle Detection Using Optical Remote Sensing Images. ACIVS Walma Gharbi, Lotfi Chaâri, Amel Benazza-Benyahia
2018	—	`conf`	Robust Lane Extraction Using Two-Dimension Declivity. ICAISC (2) Mohamed Fakhfakh, Nizar Fakhfakh, Lotfi Chaâri
2017	J	`jnl`	A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation. Signal Process. Mohanad Albughdadi, Lotfi Chaâri, Jean-Yves Tourneret, Florence Forbes, Philippe Ciuciu
2017	—	`conf`	A general non-smooth Hamiltonian Monte Carlo scheme using Bayesian proximity operator calculation. EUSIPCO Lotfi Chaâri, Jean-Yves Tourneret, Hadj Batatia
2016	J	`jnl`	A Hamiltonian Monte Carlo Method for Non-Smooth Energy Sampling. IEEE Trans. Signal Process. Lotfi Chaâri, Jean-Yves Tourneret, Caroline Chaux, Hadj Batatia
2016	—	`conf`	Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI. MIAR Mohanad Albughdadi, Lotfi Chaâri, Jean-Yves Tourneret
2016	—	`conf`	Bayesian myopic parallel MRI reconstruction. ISIVC Siwar Chaabene, Lotfi Chaâri
2016	—	`conf`	MRSI data unmixing using spatial and spectral priors in transformed domains. ISBI Andrea Laruelo, Lotfi Chaâri, Soléakhéna Ken, Jean-Yves Tourneret, Hadj Batatia, Anne Laprie
2016	—	`conf`	Multi-subject joint parcellation detection estimation in functional MRI. ISBI Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu
2015	J	`jnl`	Sparse EEG Source Localization Using Bernoulli Laplacian Priors. IEEE Trans. Biomed. Eng. Facundo Costa, Hadj Batatia, Lotfi Chaâri, Jean-Yves Tourneret
2015	—	`conf`	Sparse signal recovery using a Bernoulli generalized Gaussian prior. EUSIPCO Lotfi Chaâri, Jean-Yves Tourneret, Caroline Chaux
2014	Misc	`conf`	A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization. ICASSP Lotfi Chaâri, Hadj Batatia, Nicolas Dobigeon, Jean-Yves Tourneret
2014	—	`conf`	Model selection for hemodynamic brain parcellation in FMRI. EUSIPCO Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu
2013	J	`jnl`	Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach. IEEE Trans. Medical Imaging Lotfi Chaâri, Thomas Vincent, Florence Forbes, Michel Dojat, Philippe Ciuciu
2013	—	`conf`	Hybrid sparse regularization for magnetic resonance spectroscopy. EMBC Andrea Laruelo, Lotfi Chaâri, Hadj Batatia, Soléakhéna Ken, Benjamin Rowland, Anne Laprie, Jean-Yves Tourneret
2013	—	`conf`	Sparse Bayesian regularization using Bernoulli-Laplacian priors. EUSIPCO Lotfi Chaâri, Jean-Yves Tourneret, Hadj Batatia
2012	—	`conf`	Adaptive experimental condition selection in event-related fMRI. ISBI Christine Bakhous, Thomas Forbes, Thomas Vincent, Lotfi Chaâri, Michel Dojat, Philippe Ciuciu
2012	—	`conf`	Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework. MICCAI (3) Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu
2012	J	`jnl`	Multidimensional Wavelet-based Regularized Reconstruction for Parallel Acquisition in Neuroimaging CoRR Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Jean-Christophe Pesquet, Philippe Ciuciu
2012	B	`conf`	Robust voxel-wise joint detection estimation of brain activity in fMRI. ICIP Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu
2011	—	`conf`	3D wavelet-based regularization for parallel MRI reconstruction: Impact on subject and group-level statistical sensitivity in fMRI. ISBI Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Philippe Ciuciu, Jean-Christophe Pesquet
2011	J	`jnl`	4D Wavelet-Based Regularization for Parallel MRI Reconstruction: Impact on Subject and Group-Levels Statistical Sensitivity in fMRI CoRR Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Jean-Christophe Pesquet, Philippe Ciuciu
2011	J	`jnl`	A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging. Medical Image Anal. Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu
2011	J	`jnl`	OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille. Traitement du Signal Lotfi Chaâri, Emilie Chouzenoux, Nelly Pustelnik, Caroline Chaux, Saïd Moussaoui
2011	—	`conf`	Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI. MICCAI (2) Lotfi Chaâri, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu
2010	Misc	`conf`	A hierarchical Bayesian model for frame representation. ICASSP Lotfi Chaâri, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia
2010	J	`jnl`	A hierarchical Bayesian model for frame representation. IEEE Trans. Signal Process. Lotfi Chaâri, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia
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). Lotfi Chaâri
2009	B	`conf`	Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors. ICIP Lotfi Chaâri, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Philippe Ciuciu
2008	—	`conf`	Autocalibrated regularized parallel mri reconstruction in the wavelet domain. ISBI Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu