The purpose of this paper is to investigate the properties of a certain class of highly visible spaces. For a given geometric space C containing obstacles specified by disjoint s...
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
Our research focuses on formally bounded WCET analysis, where we aim to provide absolute guarantees on execution time bounds. In this paper, we describe how amortisation can be us...
Christoph A. Herrmann, Armelle Bonenfant, Kevin Ha...
The availability of easily programmable manycore CPUs and GPUs has motivated investigations into how to best exploit their tremendous computational power for scientific computing...
Michael Boyer, David Tarjan, Scott T. Acton, Kevin...
: Most information in Hospitals is still only available in text format and the amount of this data is immensely increasing. Consequently, text mining is an essential area of medica...
Andreas Holzinger, Regina Geierhofer, Felix Mö...