{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T03:03:10Z","timestamp":1782788590186,"version":"3.54.5"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Meta Inc"},{"name":"Laboratory for Analytical Sciences"},{"DOI":"10.13039\/100007703","name":"North Carolina State University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007703","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IIEEE Trans. Software Eng."],"published-print":{"date-parts":[[2023,4,1]]},"DOI":"10.1109\/tse.2022.3220713","type":"journal-article","created":{"date-parts":[[2022,11,15]],"date-time":"2022-11-15T20:41:12Z","timestamp":1668544872000},"page":"2426-2439","source":"Crossref","is-referenced-by-count":34,"title":["FairMask: Better Fairness via Model-Based Rebalancing of Protected Attributes"],"prefix":"10.1109","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4884-1808","authenticated-orcid":false,"given":"Kewen","family":"Peng","sequence":"first","affiliation":[{"name":"Department of Computer Science, North Carolina State University, Raleigh, NC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joymallya","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"Department of Computer Science, North Carolina State University, Raleigh, NC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5040-3196","authenticated-orcid":false,"given":"Tim","family":"Menzies","sequence":"additional","affiliation":[{"name":"Department of Computer Science, North Carolina State University, Raleigh, NC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3468264.3468537"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/0-306-47379-8_3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3359284"},{"key":"ref5","first-page":"3992","article-title":"Optimized pre-processing for discrimination prevention","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Calmon"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3457607"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-011-0463-8"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IC4.2009.4909197"},{"key":"ref9","article-title":"Avoiding discrimination through causal reasoning","author":"Kilbertus","year":"2017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/549"},{"key":"ref17","article-title":"A computer program used for bail and sentencing decisions was labeled biased against blacks. its actually not that clear","volume":"17","author":"Feller","year":"2016","journal-title":"The Washington Post"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.12.020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IHTC.2017.8058187"},{"key":"ref20","article-title":"European Commission, Ethics guidelines for trustworthy AI,","year":"2019"},{"key":"ref23","article-title":"Google offers to help others with the tricky ethics of AI","volume":"29","author":"Simonite","year":"2020","journal-title":"Ars Technica"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3368089.3409697"},{"key":"ref27","article-title":"Software engineering for fairness: A case study with hyperparameter optimization","author":"Chakraborty","year":"2019"},{"key":"ref28","first-page":"1229","article-title":"Making fair ML software using trustworthy explanation","volume-title":"Proc. IEEE\/ACM 35th Int. Conf. Automated Softw. Eng.","author":"Chakraborty"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3368089.3409704"},{"key":"ref30","article-title":"TL;DS - 21 fairness definition and their politics by Arvind Narayanan","author":"Narayanan","year":"2019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783311"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/98"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33486-3_3"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3306618.3314255"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3540250.3549093"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.45"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.09.064"},{"key":"ref38","first-page":"4765","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lundberg"},{"key":"ref39","first-page":"1436","article-title":"Flexibly fair representation learning by disentanglement","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Creager"},{"key":"ref40","article-title":"Readme: Representation learning by fairness-aware disentangling method","author":"Park","year":"2020"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2011.83"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.72"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref44","article-title":"Ai fairness 360: An extensible toolkit for detecting, understanding, and mitigating unwanted algorithmic bias","author":"Bellamy","year":"2018"},{"key":"ref45","first-page":"3995","article-title":"Optimized pre-processing for discrimination prevention","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Calmon"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.14778\/3461535.3463474"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2012.83"},{"key":"ref48","volume-title":"Sharing Data and Models in Software Engineering","author":"Menzies","year":"2014"},{"key":"ref49","article-title":"Equality of opportunity in supervised learning","author":"Hardt","year":"2016"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3603195.3603207"},{"key":"ref51","first-page":"949","article-title":"White-box fairness testing through adversarial sampling","volume-title":"Proc. IEEE\/ACM 42nd Int. Conf. Softw. Eng.","author":"Zhang"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2012.45"},{"key":"ref53","article-title":"Hyperparameter optimization for effort estimation","author":"Xia","year":"2018"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.11144\/Javeriana.upsy10-2.cdcp"},{"key":"ref55","first-page":"1","article-title":"Robust confidence intervals for effect sizes: A comparative study of Cohen\u2019s and Cliffs delta under non-normality and heterogeneous variances","volume-title":"Proc. Annu. Meeting Amer. Educ. Res. Assoc.","author":"Hess"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3106237.3106277"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3278721.3278779"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.so.09.080183.001245"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.508282"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2018.07.022"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2009.83"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-30487-3_12"},{"key":"ref63","article-title":"Parametrised data sampling for fairness optimisation","author":"Zelaya","year":"2019","journal-title":"KDD XAI"},{"key":"ref64","first-page":"1","article-title":"Classification with no discrimination by preferential sampling","volume-title":"Proc. 19th Mach. Learn. Conf. Belgium Netherlands","author":"Kamiran"}],"container-title":["IEEE Transactions on Software Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/32\/10103953\/09951398.pdf?arnumber=9951398","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T02:52:00Z","timestamp":1706755920000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9951398\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,1]]},"references-count":53,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tse.2022.3220713","relation":{},"ISSN":["0098-5589","1939-3520","2326-3881"],"issn-type":[{"value":"0098-5589","type":"print"},{"value":"1939-3520","type":"electronic"},{"value":"2326-3881","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,1]]}}}