Towards Learning-Aided Configuration in 3D Printing: Feasibility Study and Application to Defect Prediction

Reference : Towards Learning-Aided Configuration in 3D Printing: Feasibility Study and Applicatio...


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/42058

Title :	Towards Learning-Aided Configuration in 3D Printing: Feasibility Study and Application to Defect Prediction
Language :	English
Author, co-author :	Amand, Benoit [Facultés Universitaires Notre-Dame de la Paix - Namur - FUNDP]
	Cordy, Maxime [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Heymans, Patrick [Facultés Universitaires Notre-Dame de la Paix - Namur - FUNDP]
	Acher, Mathieu [University of Rennes 1]
	Temple, Paul [University of Rennes 1]
	Jézéquel, Jean-Marc [University of Rennes 1]
Publication date :	Feb-2019
Main document title :	Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems, VAMOS 2019, Leuven, Belgium, February 06-08, 2019
Pages :	7:1-7:9
Peer reviewed :	Yes
Audience :	International
ISBN :	978-1-4503-6648-9
Event name :	13th International Workshop on Variability Modelling of Software-Intensive Systems, VAMOS 2019, Leuven, Belgium, February 06-08, 2019
Event date :	from 06-02-2019 to 08-02-2019
Permalink :	http://hdl.handle.net/10993/42058

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