Evaluation of Uncertainty Quantification in Deep Learning

Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason. Evaluation of Uncertainty Quantification in Deep Learning. In Marie-Jeanne Lesot, Susana M. Vieira, Marek Z. Reformat, João Paulo Carvalho, Anna Wilbik, Bernadette Bouchon-Meunier, Ronald R. Yager, editors, Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15-19, 2020, Proceedings, Part I. Volume 1237 of Communications in Computer and Information Science, pages 556-568, Springer, 2020. [doi]

@inproceedings{StahlFKM20,
  title = {Evaluation of Uncertainty Quantification in Deep Learning},
  author = {Niclas Ståhl and Göran Falkman and Alexander Karlsson and Gunnar Mathiason},
  year = {2020},
  doi = {10.1007/978-3-030-50146-4_41},
  url = {https://doi.org/10.1007/978-3-030-50146-4_41},
  researchr = {https://researchr.org/publication/StahlFKM20},
  cites = {0},
  citedby = {0},
  pages = {556-568},
  booktitle = {Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15-19, 2020, Proceedings, Part I},
  editor = {Marie-Jeanne Lesot and Susana M. Vieira and Marek Z. Reformat and João Paulo Carvalho and Anna Wilbik and Bernadette Bouchon-Meunier and Ronald R. Yager},
  volume = {1237},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-50146-4},
}