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Xu, Wenqiang, Jiang, Liangxiao, Li, Chaoqun (2021) Improving data and model quality in crowdsourcing using cross-entropy-based noise correction. Information Sciences, 546. 803-814 doi:10.1016/j.ins.2020.08.117

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Reference TypeJournal (article/letter/editorial)
TitleImproving data and model quality in crowdsourcing using cross-entropy-based noise correction
JournalInformation Sciences
AuthorsXu, WenqiangAuthor
Jiang, LiangxiaoAuthor
Li, ChaoqunAuthor
Year2021 (February)Volume546
PublisherElsevier BV
DOIdoi:10.1016/j.ins.2020.08.117Search in ResearchGate
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Mindat Ref. ID13449035Long-form Identifiermindat:1:5:13449035:1
GUID0
Full ReferenceXu, Wenqiang, Jiang, Liangxiao, Li, Chaoqun (2021) Improving data and model quality in crowdsourcing using cross-entropy-based noise correction. Information Sciences, 546. 803-814 doi:10.1016/j.ins.2020.08.117
Plain TextXu, Wenqiang, Jiang, Liangxiao, Li, Chaoqun (2021) Improving data and model quality in crowdsourcing using cross-entropy-based noise correction. Information Sciences, 546. 803-814 doi:10.1016/j.ins.2020.08.117
In(2021) Information Sciences Vol. 546. Elsevier BV

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