{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T17:54:56Z","timestamp":1783014896946,"version":"3.54.6"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"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. Big Data"],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/tbdata.2024.3426310","type":"journal-article","created":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T17:39:03Z","timestamp":1720633143000},"page":"710-721","source":"Crossref","is-referenced-by-count":3,"title":["Worker Similarity-Based Label Completion for Crowdsourcing"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4001-5959","authenticated-orcid":false,"given":"Xue","family":"Wu","sequence":"first","affiliation":[{"name":"School of Computer Science, China University of Geosciences, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"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":[{"vocabulary":"crossref","role":"author"}]},{"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":[{"vocabulary":"crossref","role":"author"}]},{"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":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-020-3118-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2624140"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.03.016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.11.032"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.08.117"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.11.021"},{"issue":"6","key":"ref7","first-page":"1","article-title":"The rise of crowdsourcing","volume":"14","author":"Jeff","year":"2006","journal-title":"Wired Mag."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3019531"},{"key":"ref9","article-title":"Recovering top-two answers and confusion probability in multi-choice crowdsourcing","author":"Jeong","year":"2023"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2021.3135427"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3155868"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3149000"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401965"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-97310-4_19"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110325"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.06.003"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2019.04.004"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-023-3854-7"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.2307\/2346806"},{"key":"ref20","first-page":"1297","article-title":"Learning from crowds","volume":"11","author":"Raykar","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187900"},{"key":"ref22","article-title":"Error rate bounds and iterative weighted majority voting for crowdsourcing","author":"Li","year":"2014"},{"key":"ref23","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":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2504974"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2860987"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-020-01475-y"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2021.104474"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3082496"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.05.066"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-022-2225-z"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.09.003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2677468"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/int.22812"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3244547"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3586998"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-023-2751-3"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2023.108973"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.5555\/645529.657793"},{"key":"ref39","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."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/c2009-0-19715-5"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248548"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2836440"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120702"},{"issue":"2\/3","key":"ref44","first-page":"255","article-title":"KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework","volume":"17","author":"Alcal\u00e1-Fdez","year":"2011","journal-title":"J. Mult. Valued Log. Soft Comput."}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6687317\/10925345\/10592826.pdf?arnumber=10592826","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T21:18:57Z","timestamp":1742246337000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10592826\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":44,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2024.3426310","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}