The SLIF project combines text-mining and image processing to extract structured information from biomedical literature. SLIF extracts images and their captions from published pap...
In this paper we address the problem of reducing the role mining complexity in RBAC systems. To this aim, we propose a three steps methodology: first, we associate a weight to rol...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...
VANETs (Vehicular Ad hoc Networks) are highly mobile wireless ad hoc networks and will play an important role in public safety communications and commercial applications. Routing ...
K. Prasanth, K. Duraiswamy, K. Jayasudha, C. Chand...
This paper proposes a convolution forest kernel to effectively explore rich structured features embedded in a packed parse forest. As opposed to the convolution tree kernel, the p...
Smartphone usage has been continuously increasing in recent years. Moreover, smartphones are often used for privacysensitive tasks, becoming highly valuable targets for attackers....
Georgios Portokalidis, Philip Homburg, Kostas Anag...