Stacking Model-Based Classifiers for Dealing With Multiple Sets of Noisy Labels
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Supervised learning in presence of multiple sets of noisy labels is a challenging task that is receiving increasing interest in the ever-evolving landscape of healthcare analytics. Such an issue arises when multiple annotators are tasked to manually label the ... ...