MONCEF GAROUANI
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Documents
Publications
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Prédictibilité de la prédiction de la performance des requêtes? Une approche basée sur les valeurs aberrantes multivariées19éme COnférence francophone en Recherche d’Information et Applications (CORIA 2024), Association ARIA, Apr 2024, La Rochelle, France. pp.458--467
Communication dans un congrès
hal-04580035v1
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Can we predict QPP? An approach based on multivariate outliers46th European Conference on Information Retrieval (ECIR 2024), Mar 2024, Glasgow, United Kingdom. pp.458--467, ⟨10.1007/978-3-031-56063-7_38⟩
Communication dans un congrès
hal-04465059v1
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Automated Decision Support Framework for IoT: Towards a Cyber Physical Recommendation System25th International Conference on Enterprise Information Systems (ICEIS 2023), Apr 2023, Prague, Czech Republic. pp.365-373, ⟨10.5220/0011848900003467⟩
Communication dans un congrès
hal-04129196v1
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Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning24th 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⟩
Communication dans un congrès
hal-04573629v1
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Explaining Meta-Features Importance in Meta-Learning Through Shapley Values25th International Conference on Enterprise Information Systems (ICEIS 2023), Apr 2023, Prague, France. pp.591--598, ⟨10.5220/0011986600003467⟩
Communication dans un congrès
hal-04573670v1
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Towards Meta-Learning Based Data Analytics to Better Assist the Domain Experts in Industry 4.0Artificial Intelligence in Data and Big Data Processing, Dec 2022, Ho Chi Minh, Vietnam. pp.265-277, ⟨10.1007/978-3-030-97610-1_22⟩
Communication dans un congrès
hal-03975794v1
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Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning4th 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⟩
Communication dans un congrès
hal-03975774v1
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Leveraging the Automated Machine Learning for Arabic Opinion Mining: A Preliminary Study on AutoML Tools and Comparison to Human PerformanceICDTA 2022: Digital Technologies and Applications, Jan 2022, Fez, Morocco. pp.163-171, ⟨10.1007/978-3-031-02447-4_17⟩
Communication dans un congrès
hal-03670344v1
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Towards the Automation of Industrial Data Science: A Meta-learning based Approach23rd International Conference on Enterprise Information Systems, Apr 2021, Online Streaming, France. pp.709-716, ⟨10.5220/0010457107090716⟩
Communication dans un congrès
hal-03484824v1
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Towards meta-learning based data analytics to better assist the domain experts in industry 4.0The 2021 International Conference on Artificial Intelligence and Big Data in Digital Era (ICABDE), Dec 2021, Ho Chi Minh City, Vietnam
Communication dans un congrès
hal-03491690v1
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Towards a New Lexicon-Based Features Vector for Sentiment Analysis: Application to Moroccan Arabic TweetsThe International Conference on Information, Communication & Cybersecurity, Nov 2021, Khouribga, Morocco. pp.67-76, ⟨10.1007/978-3-030-91738-8_7⟩
Communication dans un congrès
hal-03526196v1
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Towards an automatic assistance framework for the selection and configuration of machine-learning-based data analytics solutions in industry 4.0The Fifth International Conference on Big Data and Internet of Things (BDIoT'21), Mar 2021, Rabat, Morocco. pp.3-15
Communication dans un congrès
hal-03159685v1
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Sentiment Analysis of Moroccan Tweets Using Text MiningThe 2021 International Conference on Digital Technologies and Applications, Jan 2021, Online Streaming, Morocco. ⟨10.1007/978-3-030-73882-2_54⟩
Communication dans un congrès
hal-03162936v1
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MAC: An Open and Free Moroccan Arabic Corpus for Sentiment AnalysisSCA 2021: The 6th Smart City Applications International Conference, Oct 2021, Safranbolu, Turkey. pp.849-858, ⟨10.1007/978-3-030-94191-8_68⟩
Communication dans un congrès
hal-03670346v1
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An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization2024
Pré-publication, Document de travail
hal-04573624v1
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Towards Efficient and Explainable Automated Machine Learning Pipelines Design : Application to Industry 4.0 DataArtificial Intelligence [cs.AI]. Université du Littoral Côte d'Opale; Université Hassan II (Casablanca, Maroc), 2022. English. ⟨NNT : 2022DUNK0620⟩
Thèse
tel-03842609v1
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