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

Benoit Amand, Maxime Cordy, Patrick Heymans, Mathieu Acher, Paul Temple, Jean-Marc Jézéquel. Towards Learning-Aided Configuration in 3D Printing: Feasibility Study and Application to Defect Prediction. In Danny Weyns, Gilles Perrouin, editors, Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems, VAMOS 2019, Leuven, Belgium, February 06-08, 2019. ACM, 2019. [doi]

@inproceedings{AmandCHATJ19,
  title = {Towards Learning-Aided Configuration in 3D Printing: Feasibility Study and Application to Defect Prediction},
  author = {Benoit Amand and Maxime Cordy and Patrick Heymans and Mathieu Acher and Paul Temple and Jean-Marc Jézéquel},
  year = {2019},
  doi = {10.1145/3302333.3302338},
  url = {https://doi.org/10.1145/3302333.3302338},
  researchr = {https://researchr.org/publication/AmandCHATJ19},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems, VAMOS 2019, Leuven, Belgium, February 06-08, 2019},
  editor = {Danny Weyns and Gilles Perrouin},
  publisher = {ACM},
  isbn = {978-1-4503-6648-9},
}