Recent research development has demonstrated the advantages of deep learning models in prediction tasks on electronic health records (EHR) in the medical domain. However,[...]

Misinformation on social media is a phenomenon with considerable impacts on our societies. To effectively mitigate its effects, we need to employ a cross-disciplinary eff[...]

ABSTRACTThis paper extends the Knowles et al. (1992) paper titled "The Demand for Major League Baseball: A Test of the Uncertainty of Outcome Hypothesis." The main resear[...]

Highway networks represent a type of linear land use crossing streams and sensitive water bodies. Stormwater runoff generated from highway surface has long received much [...]

Coordinate Measuring Machines (CMMs) can be used to measure a great variety of parts. Essentially, any three-dimensional surface can be evaluated. Characterizing the mea[...]

This dissertation consists of three essays on asset pricing under model uncertainty. The first essay examines how aversion to uncertainty about the information transfer a[...]

Structured light systems (SLS) have become increasingly important for three-dimensional shape measurements. A quantitative evaluation of the spatial resolution is also be[...]

Parts with complicated freeform shapes have been attracting more attention in industrial applications in recent decades. In most systems, the functional performance of th[...]

Measurement uncertainty is a natural parameter that can be used to characterize any measure¬ment process. Continually increasing demands of higher and higher dimensional [...]

Machining models are available to predict nearly every aspect of machining processes. In milling, for example, models are available to relate stability, part accuracy (fr[...]