BibTeX records: Jess Eagel

download as .bib file

@inproceedings{DBLP:conf/icail/ChenE17,
  author       = {Daniel L. Chen and
                  Jess Eagel},
  editor       = {Jeroen Keppens and
                  Guido Governatori},
  title        = {Can machine learning help predict the outcome of asylum adjudications?},
  booktitle    = {Proceedings of the 16th edition of the International Conference on
                  Artificial Intelligence and Law, {ICAIL} 2017, London, United Kingdom,
                  June 12-16, 2017},
  pages        = {237--240},
  publisher    = {{ACM}},
  year         = {2017},
  url          = {https://doi.org/10.1145/3086512.3086538},
  doi          = {10.1145/3086512.3086538},
  timestamp    = {Tue, 04 Feb 2020 07:46:16 +0100},
  biburl       = {https://dblp.org/rec/conf/icail/ChenE17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.