Ghadage, AdinathYi, DeweiCoghill, GeorgePang, WeiEl Gayar, NeamatTrentin, EdmondoRavanelli, MircoAbbas, Hazem2024-02-152024-02-152023Ghadage, 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_4conference978-3-031-20649-8978-3-031-20650-40302-9743ORCID: /0000-0002-2047-8277/work/154075222ORCID: /0000-0003-1702-9136/work/154075233ORCID: /0000-0002-1761-6659/work/189623899https://hdl.handle.net/2164/2276413371780engAlgorithmic biasAlgorithmic fairnessFairness in machine learningFairness-aware machine learningIndividual fairnessQA75 Electronic computers. Computer scienceTheoretical Computer ScienceGeneral Computer ScienceQA75Conference item10.1007/978-3-031-20650-4_4http://www.scopus.com/inward/record.url?scp=85142703182&partnerID=8YFLogxKhttps://iapr.org/archives/annpr2022/