18 citations · 22 across the 4 of their papers we have counts for
4 papers
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…
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…
Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data
Tobias Reitmaier, Adrian Calma, Bernhard Sick
In our today's information society more and more data emerges, e.g.~in social networks, technical applications, or business applications. Companies try to commercialize these data…
A New Vision of Collaborative Active Learning
Adrian Calma, Tobias Reitmaier, Bernhard Sick +2
Active learning (AL) is a learning paradigm where an active learner has to train a model (e.g., a classifier) which is in principal trained in a supervised way, but in AL it has to…