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08/08/2022
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making
In this work, we empirically examine human-AI decision-making in the pre...
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10/18/2021
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry
Computer-generated imagery of car models has become an indispensable par...
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07/05/2021
Detecting Concept Drift With Neural Network Model Uncertainty
Deployed machine learning models are confronted with the problem of chan...
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12/04/2020
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic
As a reaction to the high infectiousness and lethality of the COVID-19 v...
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07/22/2020