%0 Conference Paper %1 conf/ieeevast/CabreraEHKMC19 %A Cabrera, Ángel Alexander %A Epperson, Will %A Hohman, Fred %A Kahng, Minsuk %A Morgenstern, Jamie %A Chau, Duen Horng %B VAST %D 2019 %E Chang, Remco %E Keim, Daniel A. %E Maciejewski, Ross %I IEEE %K dblp %P 46-56 %T FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning. %U http://dblp.uni-trier.de/db/conf/ieeevast/ieeevast2019.html#CabreraEHKMC19 %@ 978-1-7281-2284-7

@inproceedings{conf/ieeevast/CabreraEHKMC19, added-at = {2022-10-02T00:00:00.000+0200}, author = {Cabrera, Ángel Alexander and Epperson, Will and Hohman, Fred and Kahng, Minsuk and Morgenstern, Jamie and Chau, Duen Horng}, biburl = {https://www.bibsonomy.org/bibtex/2dfea3ab561a5933e7bab96f8f54f69b9/dblp}, booktitle = {VAST}, crossref = {conf/ieeevast/2019}, editor = {Chang, Remco and Keim, Daniel A. and Maciejewski, Ross}, ee = {https://doi.org/10.1109/VAST47406.2019.8986948}, interhash = {06ddfd08e571e595d7b26de3853b1b1a}, intrahash = {dfea3ab561a5933e7bab96f8f54f69b9}, isbn = {978-1-7281-2284-7}, keywords = {dblp}, pages = {46-56}, publisher = {IEEE}, timestamp = {2024-04-10T15:50:59.000+0200}, title = {FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning.}, url = {http://dblp.uni-trier.de/db/conf/ieeevast/ieeevast2019.html#CabreraEHKMC19}, year = 2019 }