We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
We have pioneered the deployment of EverLab, a production level private PlanetLab system using high-end clusters spread over Europe. EverLab supports both experimentation and comp...
The next generation of online reference works will require structured representations of their contents in order to support scholarly functions such as semantic search, automated ...
Network patterns are based on generic algorithms that execute on tree-based overlays. A set of such patterns has been developed at KTH to support distributed monitoring in network...
A declarative rule inference engine can be very useful for modern distributed or heterogeneous applications, if it can be configured for multiple semantics and evaluation strategi...