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Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning

, , , , and . International Workshop & Tutorial on Interactive Adaptive Learning (IAL), Torino, Italy, (2023)

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Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields, , , , , , , , , and 1 other author(s). arXiv e-prints, (2019)Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning., , , , , and . CoRR, (2022)Toward Optimal Probabilistic Active Learning Using a Bayesian Approach, , , , , and . arXiv e-prints, (2020)A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving, , , and . Workshop on Interactive Adaptive Learning (IAL), ECML PKDD, (2021)(accepted).Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy., , , and . DS, volume 14276 of Lecture Notes in Computer Science, page 265-276. Springer, (2023)Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning, , , , and . International Workshop & Tutorial on Interactive Adaptive Learning (IAL), Torino, Italy, (2023)A Review of Uncertainty Calibration in Pretrained Object Detectors., , , and . CoRR, (2022)Multi-annotator Deep Learning: A Probabilistic Framework for Classification., , and . CoRR, (2023)Active Label Refinement for Semantic Segmentation of Satellite Images., , , , , , , and . CoRR, (2023)Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality., , , , and . IJCNN, page 1-8. IEEE, (2019)