New paper at the Interactive Adaptive Learning (IAL) Workshop, ECML PKDD 2023

The paper entitled "Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning" by Marek Herde, Denis Huseljic, Bernhard Sick, Ulrich Bretschneider and Sarah Oeste-Reiß shows a case study where in they demonstrate how an intelligent
crowdworker selection via deep learning reduces the number of erroneous annotations and, thus, the annotation costs of obtaining reliable data for training