{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T08:08:27Z","timestamp":1743581307319,"version":"3.28.0"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,13]],"date-time":"2022-10-13T00:00:00Z","timestamp":1665619200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,13]],"date-time":"2022-10-13T00:00:00Z","timestamp":1665619200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,13]]},"DOI":"10.1109\/dsaa54385.2022.10032333","type":"proceedings-article","created":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T13:54:03Z","timestamp":1675864443000},"page":"1-10","source":"Crossref","is-referenced-by-count":4,"title":["Enhancing Individual Fairness through Propensity Score Matching"],"prefix":"10.1109","author":[{"given":"Hamid","family":"Karimi","sequence":"first","affiliation":[{"name":"Utah State University"}]},{"given":"Muhammad Fawad","family":"Akbar Khan","sequence":"additional","affiliation":[{"name":"Utah State University"}]},{"given":"Haochen","family":"Liu","sequence":"additional","affiliation":[{"name":"Michigan State University"}]},{"given":"Tyler","family":"Derr","sequence":"additional","affiliation":[{"name":"Vanderbilt University"}]},{"given":"Hui","family":"Liu","sequence":"additional","affiliation":[{"name":"Michigan State University"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00121"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_17"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_28"},{"key":"ref15","first-page":"13 176","article-title":"Near neighbor: Who is the fairest of them all?","author":"har-peled","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8621909"},{"key":"ref14","first-page":"2600","article-title":"Online learning with an unknown fairness metric","author":"gillen","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953194"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/549"},{"article-title":"A survey on measuring indirect discrimination in machine learning","year":"2015","author":"zliobaite","key":"ref30"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1089\/big.2016.0047"},{"article-title":"Black loans matter: Distributionally robust fairness for fighting subgroup discrimination","year":"2020","author":"weber","key":"ref33"},{"article-title":"Inherent trade-offs in the fair determination of risk scores","year":"2016","author":"kleinberg","key":"ref10"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33486-3_3"},{"article-title":"Characterizing the decision boundary of deep neural networks","year":"2019","author":"karimi","key":"ref2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCUBEA.2018.8697857"},{"article-title":"Eliciting and enforcing subjective individual fairness","year":"2019","author":"jung","key":"ref17"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974348.17"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.14778\/3372716.3372723"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3242969.3264967"},{"key":"ref19","first-page":"590","article-title":"Paired-consistency: An example-based model-agnostic approach to fairness regularization in machine learning","author":"horesh","year":"2019","journal-title":"Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases"},{"article-title":"Metric learning for individual fairness","year":"2019","author":"ilvento","key":"ref18"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287600"},{"key":"ref46","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3194770.3194776"},{"key":"ref45","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313559"},{"key":"ref25","first-page":"1","article-title":"Causal inference for social discrimination reasoning","author":"qureshi","year":"2019","journal-title":"Journal of Intelligent Information Systems"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref47"},{"article-title":"Algorithmic fairness in post-processed toxicity text classification","year":"2020","author":"panday","key":"ref20"},{"article-title":"Uci machine learning repository","year":"1996","author":"kohavi","key":"ref42"},{"article-title":"Machine bias: There’s software used across the country to predict future criminals and it’s biased against blacks. 2016","year":"2019","author":"angwin","key":"ref41"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"article-title":"Using data mining to predict secondary school student performance","year":"2008","author":"cortez","key":"ref44"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/70.1.41"},{"journal-title":"Lsac national longitudinal bar passage study lsac research report series","year":"1998","author":"wightman","key":"ref43"},{"journal-title":"Methods matter Improving causal inference in educational and social science research","year":"2010","author":"murnane","key":"ref28"},{"journal-title":"Social Stratification Class Race and Gender in Sociological Perspective","year":"2019","author":"grusky","key":"ref27"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0231500"},{"key":"ref8","first-page":"3315","article-title":"Equality of opportunity in supervised learning","author":"hardt","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052660"},{"article-title":"Two simple ways to learn individual fairness metrics from data","year":"2020","author":"mukherjee","key":"ref9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.7"},{"article-title":"Trustworthy ai: A computational perspective","year":"2021","author":"liu","key":"ref3"},{"key":"ref6","first-page":"325","article-title":"Learning fair representations","author":"zemel","year":"0"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2090236.2090255"},{"article-title":"A convex framework for fair regression","year":"2017","author":"berk","key":"ref40"}],"event":{"name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","start":{"date-parts":[[2022,10,13]]},"location":"Shenzhen, China","end":{"date-parts":[[2022,10,16]]}},"container-title":["2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10032305\/10032324\/10032333.pdf?arnumber=10032333","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,6]],"date-time":"2023-03-06T13:34:43Z","timestamp":1678109683000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10032333\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,13]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/dsaa54385.2022.10032333","relation":{},"subject":[],"published":{"date-parts":[[2022,10,13]]}}}