Moncef GarouaniInvestigating the Duality of Interpretability and Explainability in Machine LearningModel Lake : a New Alternative for Machine Learning Model Management and GovernanceIoT Sensor Selection in Cyber-Physical Systems: Leveraging Large Language Models as Recommender SystemsA Comprehensive Study on Explainable Energy Consumption Patterns in Smart BuildingsPrédictibilité de la prédiction de la performance des requêtes? Une approche basée sur les valeurs aberrantes multivariéesCan we predict QPP? An approach based on multivariate outliersIoT-AID: An Automated Decision Support Framework for IoTA Survey and Perspective View of Meta-Learning for Automated Algorithms Selection and ParametrizationAutomated Machine Learning Hyperparameters Tuning through Meta-Guided Bayesian OptimizationUnlocking the Black Box: Towards Interactive Explainable Automated Machine LearningAMLBID 2.0: An auto-explained Automated Machine Learning tool for Big Industrial DataAMLBID 2.0: An auto-explained Automated Machine Learning tool for Big Industrial DataAutomated Decision Support Framework for IoT: Towards a Cyber Physical Recommendation SystemExplaining Meta-Features Importance in Meta-Learning Through Shapley ValuesAutoencoder-kNN meta-model based data characterization approach for an automated selection of AI algorithmsTowards Efficient and Explainable Automated Machine Learning Pipelines DesignScalable Meta-Bayesian Based Hyperparameters Optimization for Machine LearningProduct defect detection based on convolutional autoencoder and one-class classificationTowards Meta-Learning Based Data Analytics to Better Assist the Domain Experts in Industry 4.0Evaluation of AutoML tools for manufacturing applicationsLeveraging the Automated Machine Learning for Arabic Opinion Mining: A Preliminary Study on AutoML Tools and Comparison to Human PerformanceUsing meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big dataTowards an automatic assistance framework for the selection and configuration of machine-learning-based data analytics solutions in industry 4.0Towards big industrial data mining through explainable automated machine learningTowards a New Lexicon-Based Features Vector for Sentiment Analysis: Application to Moroccan Arabic TweetsTowards Efficient and Explainable Automated Machine Learning Pipelines DesignAMLBID: An auto-explained Automated Machine Learning tool for Big Industrial DataAMLBID: An auto-explained Automated Machine Learning tool for Big Industrial DataSentiment Analysis of Moroccan Tweets Using Text MiningTowards the Automation of Industrial Data Science: A Meta-learning based ApproachMAC: An Open and Free Moroccan Arabic Corpus for Sentiment AnalysisAnalyse des sentiments des tweets marocains par extraction de texteApplication Web pour La Gestion Des Stagiaires