Cost-Sensitive Learning and Threshold-Moving Approach to Improve Industrial Lots Release Process on Imbalanced Datasets

Armindo Lobo, Pedro Oliveira, Paulo Sampaio, Paulo Novais. Cost-Sensitive Learning and Threshold-Moving Approach to Improve Industrial Lots Release Process on Imbalanced Datasets. In Sigeru Omatu 0001, Rashid Mehmood, Pawel Sitek, Serafino Cicerone, Sara Rodríguez, editors, Distributed Computing and Artificial Intelligence, 19th International Conference, DCAI 2022, L'Aquila, Italy, 13-15 July 2022. Volume 583 of Lecture Notes in Networks and Systems, pages 280-290, Springer, 2022. [doi]

@inproceedings{LoboOSN22,
  title = {Cost-Sensitive Learning and Threshold-Moving Approach to Improve Industrial Lots Release Process on Imbalanced Datasets},
  author = {Armindo Lobo and Pedro Oliveira and Paulo Sampaio and Paulo Novais},
  year = {2022},
  doi = {10.1007/978-3-031-20859-1_28},
  url = {https://doi.org/10.1007/978-3-031-20859-1_28},
  researchr = {https://researchr.org/publication/LoboOSN22},
  cites = {0},
  citedby = {0},
  pages = {280-290},
  booktitle = {Distributed Computing and Artificial Intelligence, 19th International Conference, DCAI 2022, L'Aquila, Italy, 13-15 July 2022},
  editor = {Sigeru Omatu 0001 and Rashid Mehmood and Pawel Sitek and Serafino Cicerone and Sara Rodríguez},
  volume = {583},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-031-20859-1},
}