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Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions

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dc.contributor.authorGhadage, Adinath
dc.contributor.authorYi, Dewei
dc.contributor.authorCoghill, George
dc.contributor.authorPang, Wei
dc.contributor.editorEl Gayar, Neamat
dc.contributor.editorTrentin, Edmondo
dc.contributor.editorRavanelli, Mirco
dc.contributor.editorAbbas, Hazem
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.date.accessioned2024-02-15T11:37:00Z
dc.date.available2024-02-15T11:37:00Z
dc.date.embargoedUntil2023-08-05
dc.date.issued2023
dc.format.extent13
dc.format.extent371780
dc.identifier284365773
dc.identifierb99f5a16-7c72-4338-b0be-d786ec97264d
dc.identifier85142703182
dc.identifier85142703182
dc.identifier.citationGhadage, A, Yi, D, Coghill, G & Pang, W 2023, Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions. in N El Gayar, E Trentin, M Ravanelli & H Abbas (eds), Artificial Neural Networks in Pattern Recognition : 10th IAPR TC3 Workshop, ANNPR 2022. vol. 13739, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13739 LNAI, Springer Science and Business Media Deutschland GmbH, Cham, Switzerland, pp. 40-52, 10th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2022, Dubai, United Arab Emirates, 24/11/22. https://doi.org/10.1007/978-3-031-20650-4_4en
dc.identifier.citationconferenceen
dc.identifier.doi10.1007/978-3-031-20650-4_4
dc.identifier.isbn978-3-031-20649-8
dc.identifier.isbn978-3-031-20650-4
dc.identifier.issn0302-9743
dc.identifier.otherORCID: /0000-0002-2047-8277/work/154075222
dc.identifier.otherORCID: /0000-0003-1702-9136/work/154075233
dc.identifier.otherORCID: /0000-0002-1761-6659/work/189623899
dc.identifier.urihttps://hdl.handle.net/2164/22764
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85142703182&partnerID=8YFLogxKen
dc.identifier.urlhttps://iapr.org/archives/annpr2022/en
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofArtificial Neural Networks in Pattern Recognitionen
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en
dc.subjectAlgorithmic biasen
dc.subjectAlgorithmic fairnessen
dc.subjectFairness in machine learningen
dc.subjectFairness-aware machine learningen
dc.subjectIndividual fairnessen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectTheoretical Computer Scienceen
dc.subjectGeneral Computer Scienceen
dc.subject.lccQA75en
dc.titleMulti-stage Bias Mitigation for Individual Fairness in Algorithmic Decisionsen
dc.typeConference itemen

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