Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics

Biraja Ghoshal, Cecilia Lindskog, Allan Tucker. Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics. In Michael R. Berthold, Ad Feelders, Georg Krempl, editors, Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings. Volume 12080 of Lecture Notes in Computer Science, pages 223-234, Springer, 2020. [doi]

@inproceedings{GhoshalLT20,
  title = {Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics},
  author = {Biraja Ghoshal and Cecilia Lindskog and Allan Tucker},
  year = {2020},
  doi = {10.1007/978-3-030-44584-3_18},
  url = {https://doi.org/10.1007/978-3-030-44584-3_18},
  researchr = {https://researchr.org/publication/GhoshalLT20},
  cites = {0},
  citedby = {0},
  pages = {223-234},
  booktitle = {Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings},
  editor = {Michael R. Berthold and Ad Feelders and Georg Krempl},
  volume = {12080},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-44584-3},
}