Moncef GAROUANI

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    Adeel Ahmad

    A Survey and Perspective View of Meta-Learning for Automated Algorithms Selection and Parametrization

    AMLBID 2.0: An auto-explained Automated Machine Learning tool for Big Industrial Data

    AMLBID 2.0: An auto-explained Automated Machine Learning tool for Big Industrial Data

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

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

    Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning

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

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

    Towards an automatic assistance framework for the selection and configuration of machine-learning-based data analytics solutions in industry 4.0

    Towards big industrial data mining through explainable automated machine learning

    Towards Efficient and Explainable Automated Machine Learning Pipelines Design

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

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

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

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