Interpreting Intelligibility under Uncertain Data Imputation

Brian Lim, Danding Wang, Tze Ping Loh, Kee Yuan Ngiam. Interpreting Intelligibility under Uncertain Data Imputation. In Alan Said, Takanori Komatsu, editors, Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), Tokyo, Japan, March 11, 2018. Volume 2068 of CEUR Workshop Proceedings, CEUR-WS.org, 2018. [doi]

@inproceedings{LimWLN18,
  title = {Interpreting Intelligibility under Uncertain Data Imputation},
  author = {Brian Lim and Danding Wang and Tze Ping Loh and Kee Yuan Ngiam},
  year = {2018},
  url = {http://ceur-ws.org/Vol-2068/exss10.pdf},
  researchr = {https://researchr.org/publication/LimWLN18},
  cites = {0},
  citedby = {0},
  booktitle = {Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), Tokyo, Japan, March 11, 2018},
  editor = {Alan Said and Takanori Komatsu},
  volume = {2068},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}