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Crowdsourcing without a crowd : Reliable online species identification using Bayesian models to minimize crowd size

dc.contributor.authorSiddharthan, Advaith
dc.contributor.authorLambin, Christopher
dc.contributor.authorRobinson, Anne-Marie
dc.contributor.authorSharma, Nirwan
dc.contributor.authorComont, Richard
dc.contributor.authorO'Mahony, Elaine
dc.contributor.authorMellish, Chris
dc.contributor.authorVan Der Wal, Rene
dc.date.accessioned2017-05-02T23:01:13Z
dc.date.available2017-05-02T23:01:13Z
dc.date.issued2016-07-14
dc.identifier.citationSiddharthan , A , Lambin , C , Robinson , A-M , Sharma , N , Comont , R , O'Mahony , E , Mellish , C & Van Der Wal , R 2016 , ' Crowdsourcing without a crowd : Reliable online species identification using Bayesian models to minimize crowd size ' , ACM Transactions on Intelligent Systems and Technology , vol. 7 , no. 4 , 45 , pp. 1-20 . https://doi.org/10.1145/2776896en
dc.identifier.issn2157-6904
dc.identifier.otherPURE: 50916326
dc.identifier.otherPURE UUID: 5d7ecf58-4e65-4c89-b09f-f40f6224dff3
dc.identifier.otherScopus: 84969916130
dc.identifier.urihttp://hdl.handle.net/2164/8595
dc.descriptionAcknowledgment This research was supported by an award made by the RCUK Digital Economy program to the University of Aberdeen’s dot.rural Digital Economy Hub (ref. EP/G066051/1). Christopher Lambin was funded through a NERC research experience placements grant.en
dc.format.extent20
dc.language.isoeng
dc.relation.ispartofACM Transactions on Intelligent Systems and Technologyen
dc.rights2016 Copyright is held by the owner/author(s). Publication rights licensed to ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Intelligent Systems and Technology, VOL 7, ISS 4, (2016) http://doi.acm.org/10.1145/10.1145/2776896en
dc.subjectcrowdsourcingen
dc.subjectcitizen scienceen
dc.subjectconsensus modelen
dc.subjectBayesian reasoningen
dc.subjectbumblebee identificationen
dc.subjectbiological recordingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectUK Research and Innovation (UKRI)en
dc.subjectEP/G066051/1en
dc.subjectNatural Environment Research Council (NERC)en
dc.subject.lccQA75en
dc.titleCrowdsourcing without a crowd : Reliable online species identification using Bayesian models to minimize crowd sizeen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1145/2776896
dc.identifier.vol7en
dc.identifier.iss4en


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