Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
This paper describes how to generate compositions of semantic Web services using social trust information from user ratings of the services. We present a taxonomy of features, suc...
User-to-User Communication within Internet-based 3D Virtual Environments is usually difficult mainly due to the trade-off between the capability and the complexity of the interface...
We describe an approach based upon software process technology to on-the-fly monitoring, redeployment, reconfiguration, and in general dynamic adaptation of distributed software ap...