%0 Conference Paper %1 cabrera2019fairvis %A Cabrera, Ángel Alexander %A Epperson, Will %A Hohman, Fred %A Kahng, Minsuk %A Morgenstern, Jamie %A Chau, Duen Horng %B 2019 IEEE Conference on Visual Analytics Science and Technology (VAST) %D 2019 %K subgroups subgroup visualization sg discovery citedby:scholar:count:24 citedby:scholar:timestamp:2021-1-19 %P 46--56 %T FairVis: Visual analytics for discovering intersectional bias in machine learning

@inproceedings{cabrera2019fairvis, added-at = {2021-01-19T20:06:36.000+0100}, author = {Cabrera, {\'A}ngel Alexander and Epperson, Will and Hohman, Fred and Kahng, Minsuk and Morgenstern, Jamie and Chau, Duen Horng}, biburl = {https://www.bibsonomy.org/bibtex/26744b591361dd2ec8d5c7ef2f0991cf3/becker}, booktitle = {2019 IEEE Conference on Visual Analytics Science and Technology (VAST)}, interhash = {106647a067b836f3e6a2f1f1a36f75de}, intrahash = {6744b591361dd2ec8d5c7ef2f0991cf3}, keywords = {subgroups subgroup visualization sg discovery citedby:scholar:count:24 citedby:scholar:timestamp:2021-1-19}, organization = {IEEE}, pages = {46--56}, timestamp = {2021-01-19T20:06:36.000+0100}, title = {FairVis: Visual analytics for discovering intersectional bias in machine learning}, year = 2019 }