| 2026 | ICAART | Generative Transformer-Based Cross-Modal EEG-HRV Fusion for MCI Detection. | Amal Boudaya, Siwar Chaabene, Bassem Bouaziz, Lotfi Chari |
| 2026 | ICAART | A Multi-LLM Agent System for Modular Ontology Population: A Case Study on ADHD. | Ibrahim Traor, Yassine Belmabrouk, Imen Megdiche, Abdel-Rahman H. Tawil, Jrme Marquet-Dolac, Lotfi Chari |
| 2026 | ICAART | TRACT: A Transformer and Statistical Framework for Anomaly Detection in Multivariate Non-Stationary Time Series. | Ibrahim Traor, Imen Megdiche, Jrme Marquet-Dolac, Lotfi Chari |
| 2025 | CBMI | AgriPotential: A Novel Multi-Spectral and Multi-Temporal Remote Sensing Dataset for Agricultural Potentials. | Mohammad El Sakka, Caroline De Pourtales, Lotfi Chari, Josiane Mothe |
| 2025 | CoDIT | GABrain-Net : An Optimized Gabor-Integrated U-Net for Multimodal Brain Tumor MRI Segmentation. | Ekram Chamseddine, Lotfi Tlig, Lotfi Chari, Mounir Sayadi |
| 2025 | MEDI | A Hybrid Deep Learning and Ontology-Based Framework for Contextual Hyperactivity Detection in Children with ADHD. | Ibrahim Traor, Imen Megdiche, Jrme Marquet-Dolac, Lotfi Chari |
| 2024 | VECoS | MDE in the Era of Generative AI. | Ahmed Alaoui Mdaghri, Meriem Ouederni, Lotfi Chari |
| 2023 | AICCSA | A machine learning technique for device non-wear detection in children with ADHD. | Ibrahim Traor, Imen Megdiche, Jrme Marquet-Dolac, Lotfi Chari |
| 2023 | AICCSA | A Cross-Validation Approach for Classifying Physical Activity Intensity : A Case Study in Children with Attention Deficit/Hyperactivity Disorder. | Ibrahim Traor, Imen Megdiche, Jrme Marquet-Dolac, Lotfi Chari |
| 2023 | INISTA | Early mild cognitive impairment detection using cognitive-motor tasks and machine learning. | Siwar Chaabene, Bassem Bouaziz, Amal Boudaya, Lotfi Chari, Anita Hkelmann |
| 2023 | INISTA | A fully automatic Bayesian model for adaptive activation functions in artificial neural networks. | Mohamed Fakhfakh, Lotfi Chari |
| 2023 | ISPR | How AI can Advance Model Driven Engineering Method ? | Mohamad Suhairi Md Subhi, Willem Nicolas, Akina Renard, Gabriela Maria Garcia Romero, Meriem Ouederni, Lotfi Chari |
| 2022 | IDA | Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks. | Mohamed Fakhfakh, Bassem Bouaziz, Lotfi Chari, Faez Gargouri |
| 2020 | ICOST | EEG-Based Hypo-vigilance Detection Using Convolutional Neural Network. | Amal Boudaya, Bassem Bouaziz, Siwar Chaabene, Lotfi Chari, Achraf Ammar, Anita Hkelmann |
| 2020 | ICOST | A Convolutional Neural Network for Lentigo Diagnosis. | Sana Zorgui, Siwar Chaabene, Bassem Bouaziz, Hadj Batatia, Lotfi Chari |
| 2018 | ACIVS | Bayesian Vehicle Detection Using Optical Remote Sensing Images. | Walma Gharbi, Lotfi Chari, Amel Benazza-Benyahia |
| 2018 | ICAISC | Robust Lane Extraction Using Two-Dimension Declivity. | Mohamed Fakhfakh, Nizar Fakhfakh, Lotfi Chari |
| 2014 | ICASSP | A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization. | Lotfi Chari, Hadj Batatia, Nicolas Dobigeon, Jean-Yves Tourneret |
| 2012 | ICIP | Robust voxel-wise joint detection estimation of brain activity in fMRI. | Lotfi Chari, Florence Forbes, Thomas Vincent, Philippe Ciuciu |
| 2012 | MICCAI | Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework. | Lotfi Chari, Florence Forbes, Thomas Vincent, Philippe Ciuciu |
| 2011 | MICCAI | Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI. | Lotfi Chari, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu |
| 2010 | ICASSP | A hierarchical Bayesian model for frame representation. | Lotfi Chari, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia |
| 2009 | ICIP | Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors. | Lotfi Chari, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Philippe Ciuciu |