| 2026 | HCI | Democratizing AI Explainability through a Hybrid XAI-LLM Framework for Accessible and Reliable Explanations. | Louenas Bounia, Mor Ndour |
| 2026 | ICAART | Abductive Relative Majoritary Explanations for Random Forest Classifiers in the Context of Multi-Class Classification. | Louenas Bounia, Juba Agoun |
| 2026 | ICAART | XDeepNN: An Explainable AI Framework for Identifying Adversarial Attacks. | Negar Zarei, Juba Agoun, Louenas Bounia |
| 2026 | ICPR | Robust Explanations Through Uncertainty Decomposition: A Path to Trustworthier AI. | Chenrui Zhu, Louenas Bounia, Vu-Linh Nguyen, Sbastien Destercke, Arthur Hoarau |
| 2026 | ISMIS | A Local Reliability Index for Trust-Aware Prediction Explanations Under Missing Data. | Thanina Amirat, Ilhem Arroudj, Juba Agoun, Louenas Bounia, Lamia Yessad |
| 2025 | ICAART | Computing an Approximating Version of a Minimum-Size Explanation for Boolean Decision Tree Classifiers. | Louenas Bounia |
| 2025 | ICAART | Computing Improved Explanations for Random Forests: k-Majoritary Reasons. | Louenas Bounia, Insaf Setitra |
| 2025 | ICAART | Facial Empathy Analysis Through Deep Learning and Computer Vision Techniques in Mixed Reality Environments. | Insaf Setitra, Domitile Lourdeaux, Louenas Bounia |
| 2025 | ICDM | Explainable Profiling of Sleep Disorders to Support Trustworthy Clinical Interventions. | Sifeddine Sellami, Juba Agoun, Lamia Yessad, Auday Berro, Louenas Bounia |
| 2025 | UAI | Using Submodular Optimization to Approximate Minimum-Size Abductive Path Explanations for Tree-Based Models. | Louenas Bounia |
| 2024 | IPMU | Enhancing the Intelligibility of Boolean Decision Trees with Concise and Reliable Probabilistic Explanations. | Louenas Bounia |
| 2023 | ICCBR | Impact of Weight Functions on Preferred Abductive Explanations for Decision Trees. | Louenas Bounia, Matthieu Goliot, Anasse Chafik |
| 2023 | UAI | Approximating probabilistic explanations via supermodular minimization. | Louenas Bounia, Frdric Koriche |
| 2022 | AAAI | Trading Complexity for Sparsity in Random Forest Explanations. | Gilles Audemard, Steve Bellart, Louenas Bounia, Frdric Koriche, Jean-Marie Lagniez, Pierre Marquis |
| 2022 | IJCAI | On Preferred Abductive Explanations for Decision Trees and Random Forests. | Gilles Audemard, Steve Bellart, Louenas Bounia, Frdric Koriche, Jean-Marie Lagniez, Pierre Marquis |
| 2021 | KR | On the Computational Intelligibility of Boolean Classifiers. | Gilles Audemard, Steve Bellart, Louenas Bounia, Frdric Koriche, Jean-Marie Lagniez, Pierre Marquis |