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Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic.

, , , and . CoRR, (2020)

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Challenges in the Deployment and Operation of Machine Learning in Practice., , and . ECIS, (2019)Detecting Concept Drift with Neural Network Model Uncertainty., , , and . HICSS, page 835-844. ScholarSpace, (2023)Human vs. supervised machine learning: Who learns patterns faster?, , , , and . CoRR, (2020)Temporal Capabilities: Access Control for Time., , , , and . RTSS, page 56-67. IEEE Computer Society, (2017)Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets., , , and . HICSS, page 1-10. ScholarSpace, (2021)Increasing Robustness for Machine Learning Services in Challenging Environments: Limited Resources and No Label Feedback., , and . IntelliSys (1), volume 294 of Lecture Notes in Networks and Systems, page 837-856. Springer, (2021)Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets., , , and . CoRR, (2020)Handling Concept Drifts in Regression Problems - the Error Intersection Approach., , , , and . Wirtschaftsinformatik (Zentrale Tracks), page 210-224. GITO Verlag, (2020)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)How to Cope with Change? - Preserving Validity of Predictive Services over Time., , and . HICSS, page 1-10. ScholarSpace, (2019)