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Can We Predict QPP? An Approach Based on Multivariate Outliers.

, , , , , and . ECIR (3), volume 14610 of Lecture Notes in Computer Science, page 458-467. Springer, (2024)

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Towards the Automation of Industrial Data Science: A Meta-learning based Approach., , , , , and . ICEIS (1), page 709-716. SCITEPRESS, (2021)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)IoT-AID: An Automated Decision Support Framework for IoT., , , , and . SN Comput. Sci., 5 (4): 429 (April 2024)Version 2.0- AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data., , , and . SoftwareX, (July 2023)Can We Predict QPP? An Approach Based on Multivariate Outliers., , , , , and . ECIR (3), volume 14610 of Lecture Notes in Computer Science, page 458-467. Springer, (2024)Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning., , , and . SADASC, volume 1677 of Communications in Computer and Information Science, page 173-186. Springer, (2022)Toward an Automatic Assistance Framework for the Selection and Configuration of Machine Learning Based Data Analytics Solutions in Industry 4.0., , , , , and . BDIoT, volume 489 of Lecture Notes in Networks and Systems, page 3-15. Springer, (2021)Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning., and . IDEAL, volume 14404 of Lecture Notes in Computer Science, page 458-469. Springer, (2023)Explaining Meta-Features Importance in Meta-Learning Through Shapley Values., , and . ICEIS (1), page 591-598. SCITEPRESS, (2023)Automated Decision Support Framework for IoT: Towards a Cyber Physical Recommendation System., , , , , and . ICEIS (1), page 365-373. SCITEPRESS, (2023)