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20222026
most citedForming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts

4 citations · 4 across the 6 of their papers we have counts for

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cs.CL2022

SciTweets -- A Dataset and Annotation Framework for Detecting Scientific Online Discourse

Salim Hafid, Sebastian Schellhammer, Sandra Bringay +2

Scientific topics, claims and resources are increasingly debated as part of online discourse, where prominent examples include discourse related to COVID-19 or climate change. This…

cs.AI2022★ 4 cited

Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts

Patrick Hemmer, Sebastian Schellhammer, Michael Vössing +2

Machine learning (ML) models are increasingly being used in application domains that often involve working together with human experts. In this context, it can be advantageous to d…