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Estimating Risk-Adjusted Hospital Performance
Eva van Weenen, Stefan Feuerriegel
The quality of healthcare provided by hospitals is subject to considerable variability. Consequently, accurate measurements of hospital performance are essential for various decisi…
Learning a Cost-Effective Annotation Policy for Question Answering
Bernhard Kratzwald, Stefan Feuerriegel, Huan Sun
State-of-the-art question answering (QA) relies upon large amounts of training data for which labeling is time consuming and thus expensive. For this reason, customizing QA systems…
Forecasting electricity prices with machine learning: Predictor sensitivity
Christof Naumzik, Stefan Feuerriegel
Purpose: Trading on electricity markets occurs such that the price settlement takes place before delivery, often day-ahead. In practice, these prices are highly volatile as they la…
Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities
Cristina Kadar, Stefan Feuerriegel, Anastasios Noulas +1
Crime has been previously explained by social characteristics of the residential population and, as stipulated by crime pattern theory, might also be linked to human movements of n…
Practical Annotation Strategies for Question Answering Datasets
Bernhard Kratzwald, Xiang Yue, Huan Sun +1
Annotating datasets for question answering (QA) tasks is very costly, as it requires intensive manual labor and often domain-specific knowledge. Yet strategies for annotating QA da…