FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning

Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau. FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning. In Remco Chang, Daniel A. Keim, Ross Maciejewski, editors, 2019 IEEE Conference on Visual Analytics Science and Technology, VAST 2019, Vancouver, BC, Canada, October 20-25, 2019. pages 46-56, IEEE, 2019. [doi]

@inproceedings{CabreraEHKMC19,
  title = {FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning},
  author = {Ángel Alexander Cabrera and Will Epperson and Fred Hohman and Minsuk Kahng and Jamie Morgenstern and Duen Horng Chau},
  year = {2019},
  doi = {10.1109/VAST47406.2019.8986948},
  url = {https://doi.org/10.1109/VAST47406.2019.8986948},
  researchr = {https://researchr.org/publication/CabreraEHKMC19},
  cites = {0},
  citedby = {0},
  pages = {46-56},
  booktitle = {2019 IEEE Conference on Visual Analytics Science and Technology, VAST 2019, Vancouver, BC, Canada, October 20-25, 2019},
  editor = {Remco Chang and Daniel A. Keim and Ross Maciejewski},
  publisher = {IEEE},
  isbn = {978-1-7281-2284-7},
}