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Towards Learning-Aided Configuration in 3D Printing: Feasibility Study and Application to Defect Prediction
Amand, Benoit; Cordy, Maxime; Heymans, Patrick et al.
2019In Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems, VAMOS 2019, Leuven, Belgium, February 06-08, 2019
Peer reviewed
 

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Disciplines :
Computer science
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
External co-authors :
yes
Language :
English
Title :
Towards Learning-Aided Configuration in 3D Printing: Feasibility Study and Application to Defect Prediction
Publication date :
February 2019
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
Audience :
International
Main work title :
Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems, VAMOS 2019, Leuven, Belgium, February 06-08, 2019
ISBN/EAN :
978-1-4503-6648-9
Pages :
7:1-7:9
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 24 January 2020

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