Modern networks are very complex. It is highly desirable to reduce management complexity in next generation network design. Researchers have been seeking inspiration in natural ob...
Ordinal regression (also known as ordinal classification) is a supervised learning task that consists of automatically determining the implied rating of a data item on a fixed, ...
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
The applicability of aspects as a means of implementing runtime contract checking has been demonstrated in prior work, where contracts are identified as cross-cutting concerns [1...
Extensive research activities are recently directed towards the Semantic Web as a future form of the Web. Consequently, Web search as the key technology of the Web is evolving tow...
Hosts infected with malicious software, so called malware, are ubiquitous in today’s computer networks. The means whereby malware can infiltrate a network are manifold and rang...
Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorst...