{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T15:58:44Z","timestamp":1781193524499,"version":"3.54.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3507199","type":"journal-article","created":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T19:41:56Z","timestamp":1732736516000},"page":"181372-181419","source":"Crossref","is-referenced-by-count":37,"title":["Confusion Matrices: A Unified Theory"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2717-608X","authenticated-orcid":false,"given":"Johan","family":"Erbani","sequence":"first","affiliation":[{"name":"INSA Lyon, CNRS, UCBL, LIRIS, UMR 5205, Universit&#x00E9; de Lyon, Villeurbanne, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6439-9466","authenticated-orcid":false,"given":"Pierre-\u00c9douard","family":"Portier","sequence":"additional","affiliation":[{"name":"Caisse d&#x2019;Epargne Rh&#x00F4;ne-Alpes, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1218-8026","authenticated-orcid":false,"given":"El\u0151d","family":"Egyed-Zsigmond","sequence":"additional","affiliation":[{"name":"INSA Lyon, CNRS, UCBL, LIRIS, UMR 5205, Universit&#x00E9; de Lyon, Villeurbanne, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6620-7771","authenticated-orcid":false,"given":"Diana","family":"Nurbakova","sequence":"additional","affiliation":[{"name":"INSA Lyon, CNRS, UCBL, LIRIS, UMR 5205, Universit&#x00E9; de Lyon, Villeurbanne, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5121\/csit.2020.100801"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3353050"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1155\/2023\/1883597"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14215312"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2022.107189"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-77211-6_12"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00642"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19775-8_38"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806328"},{"issue":"1","key":"ref10","first-page":"40","article-title":"Eliciting and learning with soft labels from every annotator","volume-title":"Proc. AAAI Conf. Hum. Comput. Crowdsourcing","volume":"10","author":"Collins"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01621"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2022.100422"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.031"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-short.75"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.semeval-1.314"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.bppf-1.3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.204"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-28241-6_68"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.12752"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-30886-4_3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1017\/9781108377362.021"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3151048"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3267672"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501823"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(99)00061-6"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2007.07.017"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1080\/13658810500391024"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/BF03023004"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-30164-8"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727770"},{"key":"ref32","article-title":"MPST: A corpus of movie plot synopses with tags","author":"Kar","year":"2018","journal-title":"arXiv:1802.07858"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref34","article-title":"SigmoidF1: A smooth F1 score surrogate loss for multilabel classification","author":"B\u00e9n\u00e9dict","year":"2021","journal-title":"arXiv:2108.10566"},{"key":"ref35","first-page":"1","article-title":"When multiple perspectives and an optimization process lead to better performance, an automatic sexism identification on social media with pretrained transformers in a soft label context","volume-title":"Proc. Work. Notes CLEF","author":"Erbani"},{"key":"ref36","first-page":"1","article-title":"Analyzing the influence of cardinality and density characteristics on multi-label learning","volume-title":"Proc. X Encontro Nacional de Inteligencia Artificial e Computacional-ENIAC","volume":"2013","author":"Bernardini"},{"key":"ref37","article-title":"DeBERTa: Decoding-enhanced BERT with disentangled attention","author":"He","year":"2020","journal-title":"arXiv:2006.03654"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1602.07360"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-6759-9_9"},{"key":"ref40","first-page":"1","article-title":"Machine learning from imbalanced data sets 101","volume-title":"Proc. AAAI Workshop Imbalanced Data Sets","volume":"68","author":"Provost"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.17"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIT57492.2022.10055349"},{"key":"ref43","article-title":"Predicting tags for movies from plot synopses using deep learning techniques","author":"Rahman","year":"2019"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29619"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00144"},{"key":"ref47","article-title":"Calcul diff\u00e9rentiel & optimisation","author":"Tan","year":"2024"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10769075.pdf?arnumber=10769075","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T22:11:24Z","timestamp":1733955084000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10769075\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3507199","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}