18 citations · 22 across the 4 of their papers we have counts for
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cs.LG2021★ 18 cited
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification
Marek Herde, Denis Huseljic, Bernhard Sick +1
Pool-based active learning (AL) aims to optimize the annotation process (i.e., labeling) as the acquisition of annotations is often time-consuming and therefore expensive. For this…
cs.AI2021★ 1 cited
The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems
Dominik Dellermann, Adrian Calma, Nikolaus Lipusch +3
Recent technological advances, especially in the field of machine learning, provide astonishing progress on the road towards artificial general intelligence. However, tasks in curr…