Moncef Garouani

According to our database, Moncef Garouani authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

IoT-AID: An Automated Decision Support Framework for IoT.

Mohammad Choaib, Moncef Garouani, Mourad Bouneffa, Nicolas Waldhoff, Yasser Mohanna

SN Comput. Sci., April, 2024

Can We Predict QPP? An Approach Based on Multivariate Outliers.

Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani, Josiane Mothe, Diégo Ortiz, Md Zia Ullah

Proceedings of the Advances in Information Retrieval, 2024

2023

Autoencoder-kNN meta-model based data characterization approach for an automated selection of AI algorithms.

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich

J. Big Data, December, 2023

Version [2.0]- [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data].

Moncef Garouani, Mourad Bouneffa, Adeel Ahmad, Mohamed Hamlich

SoftwareX, July, 2023

Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning.

Moncef Garouani, Mourad Bouneffa

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Explaining Meta-Features Importance in Meta-Learning Through Shapley Values.

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

Automated Decision Support Framework for IoT: Towards a Cyber Physical Recommendation System.

Mohammad Choaib, Moncef Garouani, Mourad Bouneffa, Nicolas Waldhoff, Adeel Ahmad, Yasser Mohanna

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

2022

Towards Efficient and Explainable Automated Machine Learning Pipelines Design : Application to Industry 4.0 Data. (Vers une automatisation efficace et explicable des processus d'apprentissage automatique : Application à l'Industrie 4.0).

Moncef Garouani

PhD thesis, 2022

AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data.

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich

SoftwareX, 2022

Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data.

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich, Grégory Bourguin, Arnaud Lewandowski

J. Big Data, 2022

Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning.

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich

Proceedings of the Smart Applications and Data Analysis - 4th International Conference, 2022

2021

Towards the Automation of Industrial Data Science: A Meta-learning based Approach.

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Arnaud Lewandowski, Grégory Bourguin, Mohamed Hamlich

Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

Toward an Automatic Assistance Framework for the Selection and Configuration of Machine Learning Based Data Analytics Solutions in Industry 4.0.

Moncef Garouani, Mohamed Hamlich, Adeel Ahmad, Mourad Bouneffa, Grégory Bourguin, Arnaud Lewandowski

Proceedings of the BDIoT'21: Proceedings of the 5th International Conference on Big Data and Internet of Things, 2021