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Moncef GAROUANI

Equipe : IC

Téléphone : +33644779907

Domaine de recherche

My research work is mainly focused on the automatic selection and parametrization of machine learning algorithms and the Explanability of AI. The major goal is to achieve an optimal performance for a given task while providing the rationale traceability behind a ML recommendation or decision. I am also working on underlying topics such as Meta-learning, Natural language processing, and Computer vision.

Moncef GAROUANI

IoT Sensor Selection in Cyber-Physical Systems: Leveraging Large Language Models as Recommender Systems

Mohammad Choaib, Moncef Garouani, Mourad Bouneffa. IoT Sensor Selection in Cyber-Physical Systems: Leveraging Large Language Models as Recommender Systems. 10th 2024 International Conference on Control, Decision and Information Technologies, Jul 2024, Valletta, Malta. ⟨hal-04599507⟩

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A Comprehensive Study on Explainable Energy Consumption Patterns in Smart Buildings

Kaoutar El Azaar, Moncef Garouani, Asmae Chakir, Mohamed Hamlich, Franck Ravat. A Comprehensive Study on Explainable Energy Consumption Patterns in Smart Buildings. New Technologies, Artificial Intelligence and Smart Data. INTIS 2024, May 2024, Tanger, Morocco. ⟨hal-04599511⟩

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An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization

Moncef Garouani, Adeel Ahmad, Mourad Mohamed Bouneffa. An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization. 2024. ⟨hal-04573624⟩

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IoT-AID: An Automated Decision Support Framework for IoT

Mohammad Choaib, Moncef Garouani, Mourad Mohamed Bouneffa, Nicolas Waldhoff, Yasser Mohanna. IoT-AID: An Automated Decision Support Framework for IoT. SN Computer Science, 2024, 5 (4), pp.article 429. ⟨10.1007/s42979-024-02780-x⟩. ⟨hal-04573620⟩

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Prédictibilité de la prédiction de la performance des requêtes? Une approche basée sur les valeurs aberrantes multivariées

Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani, Josiane Mothe, Diégo Ortiz, et al.. Prédictibilité de la prédiction de la performance des requêtes? Une approche basée sur les valeurs aberrantes multivariées. 19éme COnférence francophone en Recherche d’Information et Applications (CORIA 2024), Association ARIA, Apr 2024, La Rochelle, France. pp.458--467. ⟨hal-04580035⟩

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Can we predict QPP? An approach based on multivariate outliers

Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani, Josiane Mothe, Diégo Ortiz, et al.. Can we predict QPP? An approach based on multivariate outliers. 46th European Conference on Information Retrieval (ECIR 2024), Mar 2024, Glasgow, United Kingdom. pp.458--467, ⟨10.1007/978-3-031-56063-7_38⟩. ⟨hal-04465059⟩

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Automated machine learning hyperparameters tuning through meta-guided Bayesian optimization

Moncef Garouani, Mourad Mohamed Bouneffa. Automated machine learning hyperparameters tuning through meta-guided Bayesian optimization. Progress in Artificial Intelligence, 2024, Special Issue on Smart Applications and Data Analysis for Smart Cyber-Physical Systems, ⟨10.1007/s13748-023-00311-y⟩. ⟨hal-04573617⟩

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Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning

Moncef Garouani, Mourad Mohamed Bouneffa. Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning. 24th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2023), University of Evora, Nov 2023, Evora, Portugal. pp.458--469, ⟨10.1007/978-3-031-48232-8_42⟩. ⟨hal-04573629⟩

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Version [ 2 . 0 ] - [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data]

Moncef Garouani, Mourad Mohamed Bouneffa, Adeel Ahmad, Mohamed Hamlich. Version [ 2 . 0 ] - [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data]. SoftwareX, 2023, 23, pp.101444. ⟨10.1016/j.softx.2023.101444⟩. ⟨hal-04573637⟩

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Product defect detection based on convolutional autoencoder and one-class classification

Meryem Chaabi, Mohamed Hamlich, Moncef Garouani. Product defect detection based on convolutional autoencoder and one-class classification. IAES International Journal of Artificial Intelligence (IJ-AI), 2023, 12 (2), pp.912. ⟨10.11591/ijai.v12.i2.pp912-920⟩. ⟨hal-04573635⟩

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

Mohammad Choaib, Nicolas Waldhoff, Yasser Mohanna, Moncef Garouani, Mourad Mohamed Bouneffa, et al.. Automated Decision Support Framework for IoT: Towards a Cyber Physical Recommendation System. 25th International Conference on Enterprise Information Systems (ICEIS 2023), Apr 2023, Prague, Czech Republic. pp.365-373, ⟨10.5220/0011848900003467⟩. ⟨hal-04129196⟩

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

Moncef Garouani, Adeel Ahmad, Mourad Mohamed Bouneffa. Explaining Meta-Features Importance in Meta-Learning Through Shapley Values. 25th International Conference on Enterprise Information Systems (ICEIS 2023), Apr 2023, Prague, France. pp.591--598, ⟨10.5220/0011986600003467⟩. ⟨hal-04573670⟩

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

Moncef Garouani, Adeel Ahmad, Mourad Mohamed Bouneffa, Mohamed Hamlich. Autoencoder-kNN meta-model based data characterization approach for an automated selection of AI algorithms. Journal of Big Data, 2023, 10 (1), pp.14. ⟨10.1186/s40537-023-00687-7⟩. ⟨hal-03975536⟩

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Towards Meta-Learning Based Data Analytics to Better Assist the Domain Experts in Industry 4.0

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich, Gregory Bourguin, et al.. Towards Meta-Learning Based Data Analytics to Better Assist the Domain Experts in Industry 4.0. Artificial Intelligence in Data and Big Data Processing, Dec 2022, Ho Chi Minh, Vietnam. pp.265-277, ⟨10.1007/978-3-030-97610-1_22⟩. ⟨hal-03975794⟩

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Towards Efficient and Explainable Automated Machine Learning Pipelines Design : Application to Industry 4.0 Data

Moncef Garouani. Towards Efficient and Explainable Automated Machine Learning Pipelines Design : Application to Industry 4.0 Data. Artificial Intelligence [cs.AI]. Université du Littoral Côte d'Opale; Université Hassan II (Casablanca, Maroc), 2022. English. ⟨NNT : 2022DUNK0620⟩. ⟨tel-03842609⟩

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Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich. Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning. 4th International Conference on Smart Applications and Data analysis, SADASC 2022, Sep 2022, Marrakech (MA), Morocco. pp.173-186, ⟨10.1007/978-3-031-20490-6_14⟩. ⟨hal-03975774⟩

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Towards big industrial data mining through explainable automated machine learning

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich, Gregory Bourguin, et al.. Towards big industrial data mining through explainable automated machine learning. International Journal of Advanced Manufacturing Technology, 2022, 120 (1-2), pp.1169-1188. ⟨10.1007/s00170-022-08761-9⟩. ⟨hal-03564107⟩

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

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich, Gregory Bourguin, et al.. Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data. Journal of Big Data, 2022, 9 (57), pp.20. ⟨10.1186/s40537-022-00612-4⟩. ⟨hal-03655423⟩

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Leveraging the Automated Machine Learning for Arabic Opinion Mining: A Preliminary Study on AutoML Tools and Comparison to Human Performance

Moncef Garouani, Kasun Zaysa. Leveraging the Automated Machine Learning for Arabic Opinion Mining: A Preliminary Study on AutoML Tools and Comparison to Human Performance. ICDTA 2022: Digital Technologies and Applications, Jan 2022, Fez, Morocco. pp.163-171, ⟨10.1007/978-3-031-02447-4_17⟩. ⟨hal-03670344⟩

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

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich. AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data. SoftwareX, 2022, 17, pp.100919. ⟨10.1016/j.softx.2021.100919⟩. ⟨hal-03484800⟩

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Towards meta-learning based data analytics to better assist the domain experts in industry 4.0

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich, Grégory Bourguin, et al.. Towards meta-learning based data analytics to better assist the domain experts in industry 4.0. The 2021 International Conference on Artificial Intelligence and Big Data in Digital Era (ICABDE), Dec 2021, Ho Chi Minh City, Vietnam. ⟨hal-03491690⟩

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Towards a New Lexicon-Based Features Vector for Sentiment Analysis: Application to Moroccan Arabic Tweets

Moncef Garouani, Jamal Kharroubi. Towards a New Lexicon-Based Features Vector for Sentiment Analysis: Application to Moroccan Arabic Tweets. The International Conference on Information, Communication & Cybersecurity, Nov 2021, Khouribga, Morocco. pp.67-76, ⟨10.1007/978-3-030-91738-8_7⟩. ⟨hal-03526196⟩

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MAC: An Open and Free Moroccan Arabic Corpus for Sentiment Analysis

Moncef Garouani, Jamal Kharroubi. MAC: An Open and Free Moroccan Arabic Corpus for Sentiment Analysis. SCA 2021: The 6th Smart City Applications International Conference, Oct 2021, Safranbolu, Turkey. pp.849-858, ⟨10.1007/978-3-030-94191-8_68⟩. ⟨hal-03670346⟩

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

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Arnaud Lewandowski, Gregory Bourguin, et al.. Towards the Automation of Industrial Data Science: A Meta-learning based Approach. 23rd International Conference on Enterprise Information Systems, Apr 2021, Online Streaming, France. pp.709-716, ⟨10.5220/0010457107090716⟩. ⟨hal-03484824⟩

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Towards 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 Mohamed Bouneffa, Grégory Bourguin, et al.. Towards an automatic assistance framework for the selection and configuration of machine-learning-based data analytics solutions in industry 4.0. The Fifth International Conference on Big Data and Internet of Things (BDIoT'21), Mar 2021, Rabat, Morocco. pp.3-15. ⟨hal-03159685⟩

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Sentiment Analysis of Moroccan Tweets Using Text Mining

Moncef Garouani, Hanae Chrita, Jamal Kharroubi. Sentiment Analysis of Moroccan Tweets Using Text Mining. The 2021 International Conference on Digital Technologies and Applications, Jan 2021, Online Streaming, Morocco. ⟨10.1007/978-3-030-73882-2_54⟩. ⟨hal-03162936⟩

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