For newly designed or transformed business processes, accurately predicting business performances such as costs and customer services before actual deployment is very important. W...
Background: Digital atlases provide a common semantic and spatial coordinate system that can be leveraged to compare, contrast, and correlate data from disparate sources. As the q...
The world wide web is a natural setting for cross-lingual information retrieval. The European Union is a typical example of a multilingual scenario, where multiple users have to de...
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
We enforce information flow policies in programs that run at multiple locations, with diverse levels of security. We build a compiler from a small imperative language with locali...