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dc.contributor.authorCabrera-Bean, Margarita
dc.contributor.authorDiaz Vilor, Carles
dc.contributor.authorVidal Manzano, José
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-01-20T11:04:43Z
dc.date.issued2016
dc.identifier.citationMargarita Cabrera-Bean, Diaz, C., Vidal, J. Impact of noisy annotators’ reliability in a crowdsourcing system performance. A: European Signal Processing Conference. "2016 24th European Signal Processing Conference (EUSIPCO) took place 28 August-2 September 2016 in Budapest, Hungary". Budapest: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 1-5.
dc.identifier.isbn978-1-5090-1891-8
dc.identifier.urihttp://hdl.handle.net/2117/99747
dc.description.abstractCrowdsourcing is a powerful tool to harness citizen assessments in some complex decision tasks. When multiple annotators provide their individual labels a more reliable collective decision is obtained if the individual reliability parameters are incorporated in the decision making procedure. The well-known Maximum A Posteriori (MAP) rule weights the individual labels in proportion to the annotators’ reliability. In this work we analyze how the crowdsourcing system performance is degraded with the use of noisy annotators’ reliability parameters and we derive an alternative MAP based rule to be applied when these parameters are neither known nor even estimated by the decision system. We also derive analytical expected error rates and their upper bounds obtained by each rule as a useful tool to estimate the number of necessary annotators in the collective decision system depending on the level of noise present in the estimated reliability parameters.
dc.format.extent5 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
dc.subject.lcshSignal processing
dc.subject.lcshDecision-making
dc.subject.otherCrowdsource
dc.subject.otherExpected error rate bound
dc.subject.otherSpecificity
dc.subject.otherSensitivity
dc.titleImpact of noisy annotators’ reliability in a crowdsourcing system performance
dc.typeConference report
dc.subject.lemacTractament del senyal
dc.subject.lemacDecisió, Presa de
dc.contributor.groupUniversitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
dc.identifier.doi10.1109/EUSIPCO.2016.7760600
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7760600/
dc.rights.accessRestricted access - publisher's policy
drac.iddocument19354706
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorMargarita Cabrera-Bean, Diaz, C., Vidal, J.
upcommons.citation.contributorEuropean Signal Processing Conference
upcommons.citation.pubplaceBudapest
upcommons.citation.publishedtrue
upcommons.citation.publicationName2016 24th European Signal Processing Conference (EUSIPCO) took place 28 August-2 September 2016 in Budapest, Hungary
upcommons.citation.startingPage1
upcommons.citation.endingPage5


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