Relying on crowdsourced workers, data crowdsourcing platforms are able to efficiently
provide vast amounts of labeled data. Due to the variability in the annotation quality of crowd …

Due to the presence of noise in crowdsourced labels, label aggregation (LA) has become a
standard procedure for post-processing these labels. LA methods estimate true labels from …

Weighted Majority Voting (WMV) is a well-known optimal decision rule for collective decision
making, given the probability of sources to provide accurate information (trustworthiness) …

We consider a setting where users interact with a collection of N items on an online platform.
We are given class labels possibly corrupted by noise, and we seek to recover the true class …

Many classification problems are solved by combining the output of a group of distinct
predictors. Whether it is voting, consulting domain experts, training an ensemble method or …