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Moncef Garouani
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2020 – today
- 2024
- [j5]Mohammad Choaib
, Moncef Garouani
IoT-AID: An Automated Decision Support Framework for IoT. SN Comput. Sci. 5(4): 429 (2024) - [c10]Mohammad Choaib, Moncef Garouani, Mourad Bouneffa, Yasser Mohanna:
IoT Sensor Selection in Cyber-Physical Systems: Leveraging Large Language Models as Recommender Systems. CoDIT 2024: 2516-2519 - [c9]Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani, Josiane Mothe, Diégo Ortiz, Md. Zia Ullah:
Prédictibilité de la prédiction de la performance des requêtes ? Une approche basée sur les valeurs aberrantes multivariées. CORIA 2024 - [c8]Adrian-Gabriel Chifu
Can We Predict QPP? An Approach Based on Multivariate Outliers. ECIR (3) 2024: 458-467 - [c7]Moncef Garouani, Franck Ravat, Nathalie Vallès-Parlangeau:
Model Lake : A New Alternative for Machine Learning Models Management and Governance. WISE (4) 2024: 133-144 - [i1]Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani, Josiane Mothe, Diégo Ortiz, Md. Zia Ullah:
Can we predict QPP? An approach based on multivariate outliers. CoRR abs/2402.16875 (2024) - 2023
- [j4]Moncef Garouani
Autoencoder-kNN meta-model based data characterization approach for an automated selection of AI algorithms. J. Big Data 10(1): 14 (2023) - [j3]Moncef Garouani
Version [2.0]- [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data]. SoftwareX 23: 101444 (2023) - [c6]Mohammad Choaib, Moncef Garouani
Automated Decision Support Framework for IoT: Towards a Cyber Physical Recommendation System. ICEIS (1) 2023: 365-373 - [c5]Moncef Garouani
Explaining Meta-Features Importance in Meta-Learning Through Shapley Values. ICEIS (1) 2023: 591-598 - [c4]Moncef Garouani
Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning. IDEAL 2023: 458-469 - 2022
- [b1]Moncef Garouani:
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). University of the Littoral Opal Coast, Dunkerque, France, 2022 - [j2]Moncef Garouani
Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data. J. Big Data 9(1): 57 (2022) - [j1]Moncef Garouani
AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data. SoftwareX 17: 100919 (2022) - [c3]Moncef Garouani
Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning. SADASC 2022: 173-186 - 2021
- [c2]Moncef Garouani
Toward an Automatic Assistance Framework for the Selection and Configuration of Machine Learning Based Data Analytics Solutions in Industry 4.0. BDIoT 2021: 3-15 - [c1]Moncef Garouani
Towards the Automation of Industrial Data Science: A Meta-learning based Approach. ICEIS (1) 2021: 709-716
Coauthor Index
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last updated on 2024-12-13 19:12 CET by the dblp team
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