Towards the Automation of Industrial Data Science: A Meta-learning based Approach
Garouani, M., Ahmad, A., Bouneffa, M., Lewandowski, A., Bourguin, G., Hamlich, M. (2021)
International Conference on Enterprise Information Systems, ICEIS - Proceedings, Volume 1, pp. 709-716
Using Design of Experiments to Analyze Open Source Software Metrics for Change Impact Estimation
Dahane, M., Abdi, M.K., Bouneffa, M., Ahmad, A., Basson, H. (2021)
Research Anthology on Usage and Development of Open Source Software, Volume 1, pp. 762-781
Towards an automatic assistance framework for the selection and configuration of machine-learning-based data analytics solutions in industry 4.0
Garouani, Moncef, Hamlich, Mohamed, Ahmad, Adeel, Bouneffa, Mourad Mohamed, Bourguin, Gr\'egory, Lewandowski, Arnaud (2021)
The Fifth International Conference on Big Data and Internet of Things (BDIoT'21)
Towards Big Industrial Data Mining Through Explainable Automated Machine Learning
Garouani, Moncef, Ahmad, Adeel, Bouneffa, Mourad, Hamlich, Mohamed, Bourguin, Gregory, Lewandowski, Arnaud (2021)
Towards meta-learning based data analytics to better assist the domain experts in industry 4.0
Garouani, Moncef, Ahmad, Adeel, Bouneffa, Mourad, Hamlich, Mohamed, Bourguin, Gr\'egory, Lewandowski, Arnaud (2021)
The 2021 International Conference on Artificial Intelligence and Big Data in Digital Era (ICABDE)
Towards the Automation of Industrial Data Science: A Meta-learning based Approach
Garouani, Moncef, Ahmad, Adeel, Bouneffa, Mourad, Lewandowski, Arnaud, Bourguin, Gregory, Hamlich, Mohamed (2021)
23rd International Conference on Enterprise Information Systems, pp. 709-716
Vers des classifieurs ontologiquement explicables
Bourguin, Gr\'egory, Lewandowski, Arnaud, Bouneffa, Mourad, Ahmad, Adeel (2021)
Journ\'ees Francophones d'Ing\'enierie des Connaissances (IC) Plate-Forme Intelligence Artificielle (PFIA'21), pp. pp 89-97