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Membre régulier

Samuel Jean Bassetto
Polytechnique Montréal, Département de mathématiques et de génie industriel

Bureau: Polytechnique Montréal, Pavillon principal, bureau A-305.34


	514 340-4711 # 5982

Thèmes de recherche:

1.4 Industrie 4.0

2.1 Valorisation des données

2.2 Recherche opérationnelle

2.3 Intelligence artificielle

2.4 Intelligence d’affaires

Dernières publications

Cabour Garrick, Morales-Forero A., Ledoux E., Bassetto Samuel, An explanation space to align user studies with the technical development of Explainable AI, AI & Society, Vol. 38, pp 869-887, 2023

Khalifa R.M., Yacout S., Bassetto Samuel, Shaban Y., Experimental vibration data collected for a belt drive system under different operating conditions, Data in Brief, Vol. 48, 2023

Morales-Forero A., Bassetto Samuel, Coatanea Eric, Toward safe AI, AI & Society, VOl. 38, pp. 685-696, 2023

Sakr A.H., Aboelhassan Ayman, Yacout S., Bassetto Samuel, Simulation and deep reinforcement learning for adaptive dispatching in semiconductor manufacturing systems, Journal of Intelligent Manufacturing, Vol. 34, pp. 1311-1324, 2023

Khalifa R.M., Yacout S., Bassetto Samuel, Developing machine-learning regression model with Logical Analysis of Data (LAD), Computers & Industrial Engineering, vol. 151, 106947, 16 pages, janvier , 2021

Dubé Y., Lorcy A., Audy N., Desmarais N., Savard P., Soucy C., Bassetto Samuel, et al., Adoption of infection prevention and control practices by healthcare workers in Québec: A qualitative study, Infection Control & Hospital Epidemiology, vol. 40(12), Cambridge University Press, pp. 1361-1366, 2019

Étudiants encadrés

Ouchen, Imane

Doctorat (Ph.D.), Génie industriel