{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T16:33:39Z","timestamp":1771518819910,"version":"3.50.1"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,8,29]],"date-time":"2024-08-29T00:00:00Z","timestamp":1724889600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,29]],"date-time":"2024-08-29T00:00:00Z","timestamp":1724889600000},"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":[[2024,8,29]]},"DOI":"10.1109\/is61756.2024.10705239","type":"proceedings-article","created":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T17:45:15Z","timestamp":1728495915000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Leveraging Structural Causal Models for Bias Detection and Feature Adjustment in Machine Learning Predictions"],"prefix":"10.1109","author":[{"given":"Bern Igoche","family":"Igoche","sequence":"first","affiliation":[{"name":"School of Computing, University of Portsmouth,United Kingdom"}]},{"given":"Olumuyiwa","family":"Matthew","sequence":"additional","affiliation":[{"name":"School of Computing, University of Portsmouth,United Kingdom"}]},{"given":"Peter","family":"Bednar","sequence":"additional","affiliation":[{"name":"School of Computing, University of Portsmouth,United Kingdom"}]},{"given":"Alexander","family":"Gegov","sequence":"additional","affiliation":[{"name":"School of Computing, University of Portsmouth,United Kingdom"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"ref2","article-title":"The frontiers of fairness in machine learning","author":"Chouldechova","year":"2018","journal-title":"arXiv preprint"},{"key":"ref3","first-page":"149","article-title":"Fairness in machine learning: Lessons from political phi- losophy","volume-title":"Conference on fairness, accountability and transparency","author":"Binns","year":"2018"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-55848-1_37"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1006\/knac.1993.1008"},{"key":"ref6","volume-title":"Fairness and machine learning: Limitations and opportunities","author":"Barocas","year":"2023"},{"issue":"2","key":"ref7","first-page":"3","volume-title":"Models, reasoning and inference","volume":"19","author":"Pearl","year":"2000"},{"key":"ref8","volume-title":"Elements of causal inference: foundations and learning algorithms","author":"Peters","year":"2017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3194770.3194776"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3457607"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3241036"},{"key":"ref12","article-title":"Counterfactual fairness","volume":"30","author":"Kusner","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3514094.3534159"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1754.001.0001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1214\/21-AOS2064"},{"key":"ref17","volume-title":"Probabilistic graphical models: principles and techniques","author":"Koller","year":"2009"},{"key":"ref18","volume-title":"The book of why: the new science of cause and effect","author":"Pearl","year":"2018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1017\/cbo9781107587991"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1214\/09-SS057"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3501714.3501732"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/cpz1.45"},{"key":"ref23","article-title":"Interpretable machine learning","author":"Molnar","year":"2020","journal-title":"Lulu. com"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3321\/j.issn:0529-6579.2007.z1.029"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3514094.3534159"},{"key":"ref26","author":"Sheikholeslami","year":"2019","journal-title":"Ablation programming for machine learning"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3437984.3458834"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10050593"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-39105-8","volume-title":"Big data preprocessing","author":"Luengo","year":"2020"},{"key":"ref30","first-page":"41","article-title":"An empirical study of the naive bayes classifier","volume-title":"IJCAI 2001 workshop on empirical methods in artificial intelligence,","volume":"3","author":"Rish","year":"2001"},{"key":"ref31","article-title":"Evaluation: from precision, recall and f-measure to roc, informedness, markedness and correlation","author":"Powers","year":"2020","journal-title":"arXiv preprint"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3303772.3303791"}],"event":{"name":"2024 IEEE 12th International Conference on Intelligent Systems (IS)","location":"Varna, Bulgaria","start":{"date-parts":[[2024,8,29]]},"end":{"date-parts":[[2024,8,31]]}},"container-title":["2024 IEEE 12th International Conference on Intelligent Systems (IS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10705133\/10705164\/10705239.pdf?arnumber=10705239","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T15:11:17Z","timestamp":1728573077000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10705239\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,29]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/is61756.2024.10705239","relation":{},"subject":[],"published":{"date-parts":[[2024,8,29]]}}}