| 2026 | COMPSAC | Learning a Bayesian Surrogate Model for Measuring Test Coverage in Automated Driving Systems. | Pierre-Samuel Grau-Hamard, Faouzi Adjed, Arnaud Gotlieb, Mohamed Ibn Khedher |
| 2026 | ICPR | Hierarchical Binary Space Partitioning Patch Decomposition for Efficient Alzheimer's Disease Staging from Axial MRI. | Karim Haddada, Marwa Zaabi, Mohamed Ibn Khedher, Olfa Jemai |
| 2024 | HSI | Exploring the Efficacy of Text Embeddings in Early Dementia Diagnosis from Speech. | Khaoula Ajroudi, Mohamed Ibn Khedher, Olfa Jemai, Mounim A. El-Yacoubi |
| 2024 | HSI | Assessing the Interpretability of Machine Learning Models in Early Detection of Alzheimer's Disease. | Karim Haddada, Mohamed Ibn Khedher, Olfa Jemai, Sarra Iben Khedher, Mounim A. El-Yacoubi |
| 2024 | HSI | PredictStr: A Balanced Benchmark Dataset for Improve Stroke Prediction. | Taissir Fekih Romdhane, Mohamed Ibn Khedher, Mounim A. El-Yacoubi |
| 2024 | HSI | Improving Alzheimer's Diagnosis Using Vision Transformers and Transfer Learning. | Marwa Zaabi, Mohamed Ibn Khedher, Mounim A. El-Yacoubi |
| 2024 | MODELSWARD | On the Formal Robustness Evaluation for AI-based Industrial Systems. | Mohamed Ibn Khedher, Afef Awadid, Augustin Lemesle, Zakaria Chihani |
| 2023 | CW | Comparative study of Deep Learning architectures for Early Alzheimer Detection. | Karim Haddada, Mohamed Ibn Khedher, Olfa Jemai |
| 2021 | ICAART | Mathematical Programming Approach for Adversarial Attack Modelling. | Hatem Ibn-Khedher, Mohamed Ibn Khedher, Makhlouf Hadji |
| 2021 | ICAART | Dynamic and Scalable Deep Neural Network Verification Algorithm. | Mohamed Ibn Khedher, Hatem Ibn-Khedher, Makhlouf Hadji |
| 2021 | ICAART | Improving Decision-Making-Process for Robot Navigation Under Uncertainty. | Mohamed Ibn Khedher, Mallek Mziou-Sallami, Makhlouf Hadji |
| 2021 | ICAART | Analyzing Adversarial Attacks against Deep Learning for Robot Navigation. | Mohamed Ibn Khedher, Mehdi Rezzoug |
| 2021 | ICAISC | Constrained Clustering Problems: NewOptimization Algorithms. | Hatem Ibn-Khedher, Makhlouf Hadji, Mohamed Ibn Khedher, Selma Khebbache |
| 2019 | ICONIP | Siamese Network Based Feature Learning for Improved Intrusion Detection. | Houda Jmila, Mohamed Ibn Khedher, Gregory Blanc, Mounim A. El-Yacoubi |
| 2019 | ICONIP | Safety and Robustness of Deep Neural Networks Object Recognition Under Generic Attacks. | Mallek Mziou-Sallami, Mohamed Ibn Khedher, Asma Trabelsi, Samy Kerboua-Benlarbi, Dimitri Bettebghor |
| 2018 | IJCNN | Fusion of Interest Point/Image based descriptors for efficient person re-identification. | Mohamed Ibn Khedher, Houda Jmila, Mounim A. El-Yacoubi |
| 2017 | ICONIP | Estimating VNF Resource Requirements Using Machine Learning Techniques. | Houda Jmila, Mohamed Ibn Khedher, Mounim A. El-Yacoubi |
| 2015 | ACIVS | Two-Stage Filtering Scheme for Sparse Representation Based Interest Point Matching for Person Re-identification. | Mohamed Ibn Khedher, Mounim A. El-Yacoubi |
| 2015 | ICONIP | Local Sparse Representation Based Interest Point Matching for Person Re-identification. | Mohamed Ibn Khedher, Mounim A. El-Yacoubi |
| 2013 | AVSS | Multi-shot SURF-based person re-identification via sparse representation. | Mohamed Ibn Khedher, Mounim A. El-Yacoubi, Bernadette Dorizzi |
| 2012 | ICPRAM | Human Action Recognition using Continuous HMMs and HOG/HOF Silhouette Representation. | Mohamed Ibn Khedher, Mounim A. El-Yacoubi, Bernadette Dorizzi |