Crowdsourcing and data integration algorithms represent an evolving interdisciplinary field that combines human intelligence with computational methods to enhance data processing and decision support.
Crowdsourcing efficiently delegates tasks to crowd workers for labeling, though their varying expertise can lead to errors. A key task is estimating worker expertise to infer true labels. However, the ...
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