| 2026 | ICAART | Generative Adversarial Networks for Malicious Social Bot Detection: Insights, Taxonomy, Datasets, and Future Directions. | Ghada Feki, Nle Impouma, Nourhne Ben Rabah, Bndicte Le Grand, Chokri Ben Amar |
| 2026 | ICAART | A High-Performance and Explainable Framework for Movie Ticket Sales Forecasting. | Lorenzo Lefeve, Nourhne Ben Rabah, Lionel Prevost, Bndicte Le Grand |
| 2025 | EDOC | Toward an Intent-Based and Ontology-Driven Autonomic Security Response in Security Orchestration Automation and Response. | Zequan Huang, Jacques Robin, Nicolas Herbaut, Nourhne Ben Rabah, Bndicte Le Grand |
| 2025 | EDOC | Rethinking Cybersecurity Ontology Classification and Evaluation: Towards a Credibility-Centered Framework. | Antoine Leblanc, Jacques Robin, Nourhne Ben Rabah, Zequan Huang, Bndicte Le Grand |
| 2025 | ICAART | Advancing Polycystic Ovary Syndrome Detection with Artificial Intelligence Techniques. | Abir Gorrab, Nourhne Ben Rabah, Isuri Kariyawasam, Bndicte Le Grand |
| 2025 | ICAART | Machine Learning and Deep Learning Approaches for Early Alzheimer's Detection in Patients with Subjective Cognitive Decline: A Systematic Literature Review. | Zyad Taouil, Nourhne Ben Rabah, Bndicte Le Grand |
| 2024 | AICCSA | A Comprehensive Review of Explainable Artificial Intelligence to Enhance Intrusion Detection in VANET Networks. | Anthony Rodrigues, Nourhne Ben Rabah, Abir Gorrab, Bndicte Le Grand |
| 2024 | AINA | Detecting Signs of Depression in Social Networks Users: A Framework for Enhancing the Quality of Machine Learning Models. | Abir Gorrab, Nourhne Ben Rabah, Bndicte Le Grand, Rbecca Deneckre, Thomas Bonnerot |
| 2024 | ICCCI | A Systematic Literature Review on Affective Computing Techniques for Workplace Stress Detection - Challenges, Future Directions, from Data Collection to Stress Detection. | Iris Mezieres, Abir Gorrab, Rbecca Deneckre, Nourhne Ben Rabah, Bndicte Le Grand |
| 2024 | KES | A Comprehensive Review of Educational Datasets: A Systematic Mapping Study (2022-2023). | Tesnim Khelifi, Nourhne Ben Rabah, Bndicte Le Grand |
| 2022 | AICCSA | Towards an efficient and interpretable Machine Learning approach for Energy Prediction in Industrial Buildings: A case study in the Steel Industry. | Ismehene Chahbi, Nourhne Ben Rabah, Ines Ben Tekaya |
| 2021 | WETICE | IoT Botnet Detection using Black-box Machine Learning Models: the Trade-off between Performance and Interpretability. | Nourhne Ben Rabah, Bndicte Le Grand, Manuele Kirsch-Pinheiro |
| 2020 | AINA | A Framework for Classifying Web Attacks While Respecting ML Requirements. | Nourhne Ben Rabah, Ines Ben Tekeya |
| 2020 | PERCOM | Machine Learning for a Context Mining Facility. | Nourhne Ben Rabah, Manuele Kirsch-Pinheiro, Bndicte Le Grand, Ali Jaffal, Carine Souveyet |
| 2017 | ICINCO | Automatic Acquisition and Update of a Causal Temporal Signatures Base- for Faults Diagnosis in Automated Production Systems. | Nourhne Ben Rabah, Ramla Saddem, Faten Ben Hmida, Vronique Carr-Mntrier, Moncef Tagina |