My name is Amel Hidouri

International Journals

• A. Hidouri, “Contributions aux approches par contraintes pour la fouille de données,” 2022.
• A. Hidouri, S. Jabbour, B. Raddaoui, and B. B. Yaghlane, “Mining closed high utility itemsets based on propositional satisfiability,” Data & Knowledge Engineering (DKE), 2021, vol. 136, 10192.

International Conferences

• A. Hidouri, S. Jabbour, B. Raddaoui, and S. Ahmed, “On the learning of explainable classification rules through disjunctive patterns,” in The 36th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), novembre 2024.
• A. Hidouri, S. Arbaoui, A. Samet, A. Ayadi, T. Mesbahi, R. Boné, and F. d. B. de Beuvron, “Socxai: Leveraging cnn and shap analysis for battery soc estimation and anomaly detection,” in Computational Science (ICCS) 2024, 2024, 177–191.
• A. Hidouri, B. Raddaoui, and S. Jabbour, “Targeting minimal rare itemsets from transaction databases,” in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), 2023, 2114–2121.
• A. Hidouri, B. Raddaoui, and S. Jabbour, “Towards a unified symbolic ai framework for mining high utility itemsets,” in International Conference on Information Integration and Web Intelligence (IIWAS), 2023, 77–91.
• A. Hidouri, S. Jabbour, and B. Raddaoui, “On the enumeration of frequent high utility itemsets: A symbolic ai approach,” in 28th International Conference on Principles and Practice of Constraint Programming (CP), 2022.
• A. Hidouri, S. Jabbour, B. Raddaoui, M. Chebbah, and B. Ben Yaghlane, “A parallel declarative framework for mining high utility itemsets,” in International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 2022, 624–637.
• A. Hidouri, S. Jabbour, I. O. Dlala, and B. Raddaoui, “On minimal and maximal high utility itemsets mining using propositional satisfiability,” in 2021 IEEE International Conference on Big Data (Big Data), 2021, 622–628.
• A. Hidouri, S. Jabbour, J. Lonlac, and B. Raddaoui, “A constraint-based approach for enumerating gradual itemsets,” in 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021, 582–589.
• A. Hidouri, S. Jabbour, B. Raddaoui, M. Chebbah, and B. B. Yaghlane, “A declarative framework for mining top-k high utility itemsets,” in Big Data Analytics and Knowledge Discovery: 23rd International Conference, DaWaK 2021, Virtual Event, September 27–30, 2021, Proceedings 23 (DAWAK), 2021, 250–256.
• A. Hidouri, S. Jabbour, B. Raddaoui, and B. B. Yaghlane, “A sat-based approach for mining high utility itemsets from transaction databases,” in Big Data Analytics and Knowledge Discovery: 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings 22 (DAWAK), 2020, 91–106.