Recent works on modeling the Internet topology [8, 9] have highlighted how the complexity of relationships between Autonomous Systems (ASes) can not be oversimplified without sac...
Andrea Di Menna, Tiziana Refice, Luca Cittadini, G...
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
The negative performance impact of branch mis-predictions can be reduced by exploiting control independence (CI). When a branch mis-predicts, the wrong-path instructions up to the...
This paper describes, and evaluates benefits of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distrib...
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...