A technical survey on statistical modelling and design methods for crowdsourcing quality control Jin, Yuan, Carman, Mark, Zhu, Ye and Xiang, Yong 2020, A technical survey on statistical modelling and design methods for crowdsourcing quality control, Artificial intelligence, pp. 1-61, doi: 10.1016/j.artint.2020.103351. Attached Files Name Description MIMEType Size Downloads Title A technical survey on statistical modelling and design methods for crowdsourcing quality control Author(s) Jin, Yuan Carman, Mark Zhu, Ye orcid.org/0000-0003-4776-4932 Xiang, Yong orcid.org/0000-0003-3545-7863 Journal name Artificial intelligence Article ID 103351 Start page 1 End page 61 Total pages 61 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2020 ISSN 0004-3702 Keyword(s) Crowdsourcing Quality control Statistical modelling and inference Mechanism design Notes In Press Article Language eng DOI 10.1016/j.artint.2020.103351 Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 1702 Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30139659 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 03 Jul 2020, 15:18:54 EST Sat, 04 Jul 2020, 05:01:18 EST Mon, 06 Jul 2020, 12:30:45 EST Tue, 07 Jul 2020, 06:03:18 EST Fri, 10 Jul 2020, 10:09:12 EST Fri, 10 Jul 2020, 10:11:34 EST Fri, 10 Jul 2020, 10:12:14 EST Sat, 25 Jul 2020, 02:34:04 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 14 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 06 Jul 2020, 12:30:45 EST

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