| 2026 | ICAART | Analyzing Degradation Mechanisms: An Explainable Multi-Task Learning Approach for Battery Forecasting. | Tho Heitzmann, Amel Hidouri, Ahmed Samet, Tedjani Mesbahi, Romuald Bon |
| 2025 | ICAART | LSTM-Based Physics-Informed Neural Network for Lithium-Ion State of Charge Estimation. | Yusif Imamverdiyev, Amel Hidouri, Tedjani Mesbahi, Ahmed Samet, Christophe Lallement |
| 2024 | ICCS | SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection. | Amel Hidouri, Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Bon, Franois de Bertrand de Beuvron |
| 2024 | ICTAI | On the Learning of Explainable Classification Rules through Disjunctive Patterns. | Amel Hidouri, Sad Jabbour, Badran Raddaoui, Ahmed Samet |
| 2023 | IIWAS | Towards a Unified Symbolic AI Framework for Mining High Utility Itemsets. | Amel Hidouri, Badran Raddaoui, Sad Jabbour |
| 2023 | IJCAI | Targeting Minimal Rare Itemsets from Transaction Databases. | Amel Hidouri, Badran Raddaoui, Sad Jabbour |
| 2022 | CP | On the Enumeration of Frequent High Utility Itemsets: A Symbolic AI Approach. | Amel Hidouri, Sad Jabbour, Badran Raddaoui |
| 2022 | IPMU | A Parallel Declarative Framework for Mining High Utility Itemsets. | Amel Hidouri, Sad Jabbour, Badran Raddaoui, Mouna Chebbah, Boutheina Ben Yaghlane |
| 2021 | DaWaK | A Declarative Framework for Mining Top-k High Utility Itemsets. | Amel Hidouri, Sad Jabbour, Badran Raddaoui, Mouna Chebbah, Boutheina Ben Yaghlane |
| 2021 | ICTAI | A Constraint-based Approach for Enumerating Gradual Itemsets. | Amel Hidouri, Sad Jabbour, Jerry Lonlac, Badran Raddaoui |
| 2020 | DaWaK | A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases. | Amel Hidouri, Sad Jabbour, Badran Raddaoui, Boutheina Ben Yaghlane |