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An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making., , , , and . PKDD/ECML Workshops (1), volume 1752 of Communications in Computer and Information Science, page 353-368. Springer, (2022)Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19., , and . ICIS, Association for Information Systems, (2020)Online Platforms and the Fair Exposure Problem Under Homophily., , , , , and . CoRR, (2022)DEAL: Deep Evidential Active Learning for Image Classification., , and . ICMLA, page 865-870. IEEE, (2020)Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry., , and . CoRR, (2021)Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making., , and . CoRR, (2021)Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems., and . CSCW Companion, page 153-157. ACM, (2021)Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic., , , and . CoRR, (2020)Detecting Concept Drift With Neural Network Model Uncertainty., , , and . CoRR, (2021)A Study on Fairness and Trust Perceptions in Automated Decision Making., , and . IUI Workshops, volume 2903 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)