For a food manufacturer, there are few things worse than calling for a mandatory food product recall. Food safety is a big deal and food recalls occur much more frequently than we may realize. And we ...

Biased population samples pose a prevalent problem in the social sciences. Therefore, we present two novel methods that are based on positive-unlabeled learning to mitigate bias. Both methods leverage ...

To produce high-quality cement, the mineralogical and chemical composition of raw materials, as well as of intermediate and finished products, needs to be determined. At each stage of the production ...

In the social sciences, it is often necessary to debias studies and surveys before valid conclusions can be drawn. Debiasing algorithms enable the computational removal of bias using sample weights.

Clinical trial samples collected for pharmacogenomic and future research are vital resources for the development of safe and effective drugs, yet collecting adequate, representative sample sets in ...

Swan Analytical Instruments has launched a new Sample Filtration Cabinet which ensures the reliable provision of ...

When people read about a poll, they are often told something like this: Pollsters call a random group of people. Though small, we can infer this group is a representative sample of the U.S. population ...