Prime implicants as a versatile tool to explain robust classification

Hénoïk Willot, Sébastien Destercke, Khaled Belahcène. Prime implicants as a versatile tool to explain robust classification. In Enrique Miranda 0001, Ignacio Montes, Erik Quaeghebeur, Barbara Vantaggi, editors, International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2023, 11-14 July 2023, Oviedo, Spain. Volume 215 of Proceedings of Machine Learning Research, pages 461-471, PMLR, 2023. [doi]

@inproceedings{WillotDB23,
  title = {Prime implicants as a versatile tool to explain robust classification},
  author = {Hénoïk Willot and Sébastien Destercke and Khaled Belahcène},
  year = {2023},
  url = {https://proceedings.mlr.press/v215/willot23a.html},
  researchr = {https://researchr.org/publication/WillotDB23},
  cites = {0},
  citedby = {0},
  pages = {461-471},
  booktitle = {International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2023, 11-14 July 2023, Oviedo, Spain},
  editor = {Enrique Miranda 0001 and Ignacio Montes and Erik Quaeghebeur and Barbara Vantaggi},
  volume = {215},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}