Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
The role-based access control (RBAC) model has proven to be cost effective to reduce the complexity and costs of access permission management. To maximize the advantages offered...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...
In information system development, end-users often participate in design and in many cases learn to design their own system. Design, however, requires a distinct approach that use...
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...