This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
New emerging scientific applications in geosciences, sensor and spatio-temporal domains require adaptive analysis frameworks that can handle large datasets with multiple dimension...
In this paper, we consider the evolution of structure within large online social networks. We present a series of measurements of two such networks, together comprising in excess ...
This paper presents applications for dealing with videos on the web, using an efficient technique for video copy detection in large archives. Managing videos on the web is the so...
This paper describes a service-oriented architecture for accessing resources through semantically designed portals called hubs. The services are dedicated to: (a) ontology manageme...