Amel Hidouri

According to our database, Amel Hidouri authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LSTM-Based Physics-Informed Neural Network for Lithium-Ion State of Charge Estimation.

Yusif Imamverdiyev, Amel Hidouri, Tedjani Mesbahi, Ahmed Samet, Christophe Lallement

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Approche fondée sur les motifs disjonctifs pour l'apprentissage des règles de classification.

Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Ahmed Samet

Proceedings of the Extraction et Gestion des Connaissances, EGC 2025, 2025

2024

On the Learning of Explainable Classification Rules through Disjunctive Patterns.

Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Ahmed Samet

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection.

Amel Hidouri, Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné, François de Bertrand de Beuvron

Proceedings of the Computational Science - ICCS 2024, 2024

Enumération des itemsets rares minimaux à partir des bases de données transactionnelles.

Amel Hidouri, Badran Raddaoui, Saïd Jabbour

Proceedings of the Extraction et Gestion des Connaissances, 2024

2023

Corrigendum to "Mining Closed High Utility Itemsets based on Propositional Satisfiability" [Data Knowl. Eng. 136C (2021) 101927].

Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Boutheina Ben Yaghlane

Data Knowl. Eng., July, 2023

Targeting Minimal Rare Itemsets from Transaction Databases.

Amel Hidouri, Badran Raddaoui, Saïd Jabbour

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards a Unified Symbolic AI Framework for Mining High Utility Itemsets.

Amel Hidouri, Badran Raddaoui, Saïd Jabbour

Proceedings of the Information Integration and Web Intelligence, 2023

2022

A Parallel Declarative Framework for Mining High Utility Itemsets.

Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Mouna Chebbah, Boutheina Ben Yaghlane

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

On the Enumeration of Frequent High Utility Itemsets: A Symbolic AI Approach.

Amel Hidouri, Saïd Jabbour, Badran Raddaoui

Proceedings of the 28th International Conference on Principles and Practice of Constraint Programming, 2022

2021

Mining Closed High Utility Itemsets based on Propositional Satisfiability.

Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Boutheina Ben Yaghlane

Data Knowl. Eng., 2021

A Constraint-based Approach for Enumerating Gradual Itemsets.

Amel Hidouri, Saïd Jabbour, Jerry Lonlac, Badran Raddaoui

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

A Declarative Framework for Mining Top-k High Utility Itemsets.

Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Mouna Chebbah, Boutheina Ben Yaghlane

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability.

Amel Hidouri, Saïd Jabbour, Imen Ouled Dlala, Badran Raddaoui

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases.

Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Boutheina Ben Yaghlane

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020