Abstract. Learning-based approaches have become increasingly practical in medical imaging. For a supervised learning strategy, the quality of the trained algorithm (usually a class...
Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thomp...
—We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. The documents at a given time are each characterized by a topic...
Iulian Pruteanu-Malinici, Lu Ren, John William Pai...
The dynamic and collaborative nature of mobile and sensor networks raises the issue of how connected mobile devices can be trusted. Despite the existing security paradigms such as...
Abstract—Today’s enterprises are confronted with a challenging environment that demands continuous transformations. Globalized markets, disruptive technological innovations, an...
Sabine Buckl, Christian M. Schweda, Florian Matthe...
Abstract. We introduce the concept of future values. Using future values it is possible to represent programs in a new control-flow form such that on any control flow path the data...