{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T06:04:53Z","timestamp":1764050693275,"version":"3.45.0"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62276241"],"award-info":[{"award-number":["62276241"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Emerg. Top. Comput. Intell."],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1109\/tetci.2025.3551982","type":"journal-article","created":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T00:29:08Z","timestamp":1743208148000},"page":"4015-4025","source":"Crossref","is-referenced-by-count":0,"title":["Learning From Crowds by Class-Specific Instance Weighting"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7991-3106","authenticated-orcid":false,"given":"Qiang","family":"Ji","sequence":"first","affiliation":[{"name":"School of Computer Science, China University of Geosciences, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2201-3526","authenticated-orcid":false,"given":"Liangxiao","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Computer Science, China University of Geosciences, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7269-0376","authenticated-orcid":false,"given":"Wenjun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science, China University of Geosciences, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0620-6344","authenticated-orcid":false,"given":"Chaoqun","family":"Li","sequence":"additional","affiliation":[{"name":"School of Mathematics and Physics, China University of Geosciences, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3393-5"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2836440"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.11.032"},{"key":"ref4","first-page":"679","article-title":"Crowdsourcing, open innovation and collective intelligence in the scientific method - A research agenda and operational framework","volume-title":"Proc. 12th Int. Conf. Synth. Simul. Living Syst.","author":"Buecheler","year":"2010"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1177\/1745691610393980"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04542-w"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i5.20467"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2738643"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.78"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.65"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467409"},{"key":"ref12","first-page":"2204","article-title":"Learning from the wisdom of crowds by minimax entropy","volume-title":"Proc. 26th Int. Conf. Neural Inf. Process. Syst.","author":"Zhou","year":"2012"},{"key":"ref13","first-page":"102:1","article-title":"Spectral methods meet EM: A provably optimal algorithm for crowdsourcing","volume":"17","author":"Zhang","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11506"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2897350.2897352"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-017-2878-y"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2327039"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2504974"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2836969"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3082496"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.05.066"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-022-2225-z"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-020-3067-8"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.06.003"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.09.003"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2677468"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2019.04.004"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.08.117"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.11.021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/int.22812"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.11.002"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-4752-2_24"},{"key":"ref33","first-page":"1297","article-title":"Learning from crowds","volume":"11","author":"Raykar","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref34","first-page":"82","article-title":"Learning to predict from crowdsourced data","volume-title":"Proc. 13th Conf. Uncertainty Artif. Intell., UAI 2014, Quebec City, Quebec, Canada, Jul. 23-27, 2014","author":"Bi","year":"2014"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/210"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401965"},{"article-title":"Error rate bounds and iterative weighted majority voting for crowdsourcing","year":"2014","author":"Li","key":"ref37"},{"key":"ref38","first-page":"2853","article-title":"CEKA: A tool for mining the wisdom of crowds","volume":"16","author":"Zhang","year":"2015","journal-title":"J. Mach. Learn. Res."},{"volume-title":"C4.5: Programs for Machine Learning","year":"1993","author":"Quinlan","key":"ref39"},{"key":"ref40","first-page":"143","article-title":"Experiments with noise filtering in a medical domain","volume-title":"Proc. 16th Int. Conf. Mach. Learn. (ICML 1999), Bled, Slovenia","author":"Gamberger","year":"1999"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/c2009-0-19715-5"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248548"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2648786"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.05.012"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447803"}],"container-title":["IEEE Transactions on Emerging Topics in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7433297\/11267152\/10944765.pdf?arnumber=10944765","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T05:51:54Z","timestamp":1764049914000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10944765\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":45,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tetci.2025.3551982","relation":{},"ISSN":["2471-285X"],"issn-type":[{"type":"electronic","value":"2471-285X"}],"subject":[],"published":{"date-parts":[[2025,12]]}}}