{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:16:18Z","timestamp":1740132978688,"version":"3.37.3"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Hong Kong RGC GRF","award":["16214716"],"award-info":[{"award-number":["16214716"]}]},{"name":"National Grand Fundamental Research 973 Program of China","award":["2014CB340303"],"award-info":[{"award-number":["2014CB340303"]}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"crossref","award":["61729201"],"award-info":[{"award-number":["61729201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Science and Technology Planning Project of Guangdong Province, China","award":["2015B010110006"],"award-info":[{"award-number":["2015B010110006"]}]},{"name":"Microsoft Research Asia Collaborative Research"},{"DOI":"10.13039\/501100005950","name":"Hong Kong University of Science and Technology","doi-asserted-by":"publisher","award":["Group_USC 05"],"award-info":[{"award-number":["Group_USC 05"]}],"id":[{"id":"10.13039\/501100005950","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2019,5,1]]},"DOI":"10.1109\/tkde.2018.2849385","type":"journal-article","created":{"date-parts":[[2018,6,21]],"date-time":"2018-06-21T19:18:22Z","timestamp":1529608702000},"page":"867-879","source":"Crossref","is-referenced-by-count":8,"title":["DLTA: A Framework for Dynamic Crowdsourcing Classification Tasks"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9339-1949","authenticated-orcid":false,"given":"Libin","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8257-5806","authenticated-orcid":false,"given":"Lei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","first-page":"1546","article-title":"Active learning with Amazon mechanical turk","author":"laws","year":"2011","journal-title":"Proc Conf Empirical Methods Natural Language Process"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2835776.2835797"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2882953"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.14778\/2336664.2336676"},{"key":"ref37","first-page":"1161","article-title":"Active learning from crowds","author":"yan","year":"2011","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557053"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.14778\/2735471.2735474"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596668"},{"key":"ref10","first-page":"2035","article-title":"Whose vote should count more: Optimal integration of labels from labelers of unknown expertise","author":"whitehill","year":"2009","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref11","first-page":"64","article-title":"Optimistic knowledge gradient policy for optimal budget allocation in crowdsourcing","author":"chen","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref12","first-page":"1183","article-title":"How to grade a test without knowing the answers&#x2014;A Bayesian graphical model for adaptive crowdsourcing and aptitude testing","author":"bachrach","year":"2012","journal-title":"Proc 29th Int'l Conf Machine Learning (ICML '12)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2013.1235"},{"key":"ref14","first-page":"534","article-title":"Adaptive task assignment for crowdsourced classification","author":"ho","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/215206.215366"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1201\/9781420011029","author":"small","year":"2010","journal-title":"Expansions and Asymptotics for Statistics"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1984.4767596"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1287\/opre.27.3.503"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.14778\/2856318.2856331"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2750550"},{"key":"ref27","article-title":"What&#x2019;s the right price? Pricing tasks for finishing on time","volume":"11","author":"faradani","year":"2011","journal-title":"Comput Hum"},{"key":"ref3","first-page":"156","article-title":"SQUARE: A benchmark for research on computing crowd consensus","author":"sheshadri","year":"2013","journal-title":"Proc 1st AAAI Conf Human Comput"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2749430"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1989323.1989331"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2012.122"},{"key":"ref8","first-page":"20","article-title":"Maximum likelihood estimation of observer error-rates using the EM algorithm","volume":"28","author":"dawid","year":"1979","journal-title":"Appl Stat J Roy Statist Soc Ser C"},{"key":"ref7","first-page":"2424","article-title":"The multidimensional wisdom of crowds","author":"welinder","year":"2010","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242604"},{"key":"ref9","first-page":"1297","article-title":"Learning from crowds","volume":"11","author":"raykar","year":"2010","journal-title":"J Mach Learn Res"},{"year":"2018","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401965"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1837885.1837906"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3115\/1613715.1613751"},{"key":"ref24","first-page":"1","article-title":"An evaluation of aggregation techniques in crowdsourcing","author":"hung","year":"2013","journal-title":"Proc Int Conf Web Inf Syst Eng"},{"key":"ref23","first-page":"2195","article-title":"Learning from the wisdom of crowds by minimax entropy","author":"zhou","year":"2012","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488414"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.14778\/3055540.3055547"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/8680720\/08391732.pdf?arnumber=8391732","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:47:12Z","timestamp":1657745232000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8391732\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,1]]},"references-count":37,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2018.2849385","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"type":"print","value":"1041-4347"},{"type":"electronic","value":"1558-2191"},{"type":"electronic","value":"2326-3865"}],"subject":[],"published":{"date-parts":[[2019,5,1]]}}}