{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T23:07:36Z","timestamp":1778540856584,"version":"3.51.4"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"King's China Scholarship Council"},{"name":"NVIDIA Academic Hardware Grant Program"},{"name":"EPSRC U.K.","award":["EP\/V010875\/1"],"award-info":[{"award-number":["EP\/V010875\/1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/taffc.2024.3409830","type":"journal-article","created":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T17:55:05Z","timestamp":1717610105000},"page":"2192-2203","source":"Crossref","is-referenced-by-count":4,"title":["Towards Generalised and Incremental Bias Mitigation in Personality Computing"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3588-2723","authenticated-orcid":false,"given":"Jian","family":"Jiang","sequence":"first","affiliation":[{"name":"Centre for Robotics Research, Department of Engineering, King's College London, London, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8436-7343","authenticated-orcid":false,"given":"Viswonathan","family":"Manoranjan","sequence":"additional","affiliation":[{"name":"New York University Abu Dhabi, Abu Dhabi, UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanan","family":"Salam","sequence":"additional","affiliation":[{"name":"New York University Abu Dhabi, Abu Dhabi, UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7213-6359","authenticated-orcid":false,"given":"Oya","family":"Celiktutan","sequence":"additional","affiliation":[{"name":"Centre for Robotics Research, Department of Engineering, King's College London, London, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordhb\/9780199942237.001.0001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2014.2330816"},{"key":"ref3","first-page":"53","article-title":"Learning personalised models for automatic self-reported personality recognition","volume-title":"Proc. Understanding Social Behav. Dyadic Small Group Interact.","author":"Salam"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/spc3.12624"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CSCI54926.2021.00089"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2015.2513401"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-98131-4_10"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10063-7"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2024.3363710"},{"key":"ref10","first-page":"974","article-title":"Racial representation disparity of population-level genomic sequencing efforts","volume-title":"Proc. 17th World Congr. Med. Health Inform.","author":"Kim Jr"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0220113"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.2973158"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1126\/science.aal4230"},{"key":"ref14","first-page":"4674","article-title":"Learning optimal fair policies","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Nabi"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/make4010011"},{"key":"ref16","article-title":"A prompt array keeps the bias away: Debiasing vision-language models with adversarial learning","author":"Berg","year":"2022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372837"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3382507.3418889"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2090236.2090255"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.09.064"},{"key":"ref21","first-page":"77","article-title":"Gender shades: Intersectional accuracy disparities in commercial gender classification","volume-title":"Proc. 1st Conf. Fairness Accountability Transparency","author":"Buolamwini"},{"key":"ref22","article-title":"Fairer machine learning software on multiple sensitive attributes with data preprocessing","author":"Yu","year":"2021"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3278721.3278779"},{"key":"ref24","first-page":"5680","article-title":"On fairness and calibration","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Pleiss"},{"key":"ref25","first-page":"1","article-title":"Deep learning for emotion recognition on small datasets using transfer learning and data augmentation","volume-title":"Proc. IEEE 14th Int. Conf. Autom. Face Gesture Recognit.","author":"Mollahosseini"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACII52823.2021.9597439"},{"key":"ref27","article-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.04.049"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3306618.3314255"},{"key":"ref30","first-page":"4","article-title":"ChaLearn LAP challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results","volume-title":"Proc. Int. Conf. Understanding Soc. Behav. Dyadic Small Group Interact.","author":"Palmero"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_32"},{"key":"ref32","article-title":"FERMI: Fair empirical risk minimization via exponential r\u00e9nyi mutual information","author":"Lowy","year":"2021"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2021.3106619"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-011-0463-8"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3341161.3342915"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11553"},{"key":"ref37","article-title":"Mitigation of data bias through fair features selection methods","author":"Dorleon","year":"2023"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00541"},{"key":"ref39","article-title":"Fairness-aware classification: Criterion, convexity, and bounds","author":"Wu","year":"2018"},{"key":"ref40","first-page":"2277","article-title":"FNNC: Achieving fairness through neural networks","volume-title":"Proc. Int. Conf. Int. Joint Conf. Artif. Intell.","author":"Padala"},{"key":"ref41","first-page":"2164","article-title":"Learning controllable fair representations","volume-title":"Proc. 22nd Int. Conf. Artif. Intell. Statist.","author":"Song"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2020.3032461"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/1081870.1081950"},{"key":"ref44","article-title":"Achieving fairness through adversarial learning: An application to recidivism prediction","author":"Wadsworth","year":"2018"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3468507.3468518"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287586"},{"key":"ref47","first-page":"119","article-title":"Decoupled classifiers for group-fair and efficient machine learning","volume-title":"Proc. Conf. Fairness, Accountability Transparency","author":"Dwork"},{"key":"ref48","article-title":"Responsible ai: Gender bias assessment in emotion recognition","author":"Domnich","year":"2021"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533159"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3461702.3462609"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3281765"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01471"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2981912"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547936"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/WACVW58289.2023.00038"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ACII55700.2022.9953850"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11009-3_35"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01965"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-65414-6_35"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2022.3181033"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01322"},{"key":"ref62","first-page":"120","article-title":"Fair regression: Quantitative definitions and reduction-based algorithms","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Agarwal"},{"key":"ref63","first-page":"60","article-title":"A reductions approach to fair classification","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Agarwal"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783311"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/3616865"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1147\/JRD.2019.2942287"},{"key":"ref67","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"Bengio","year":"2013"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00144"},{"key":"ref69","first-page":"4651","article-title":"Perceiver: General perception with iterative attention","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Jaegle"},{"key":"ref70","article-title":"Large batch optimization for deep learning: Training BERT in 76 minutes","author":"You","year":"2019"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5165369\/10768431\/10549797.pdf?arnumber=10549797","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T19:36:51Z","timestamp":1732736211000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10549797\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":70,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2024.3409830","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}