Multi-concept learning is an important problem in multimedia content analysis and retrieval. It connects two key components in the multimedia semantic ecosystem: multimedia lexico...
Hierarchical models are commonly used to organize a Website's content. A Website's content structure can be represented by a topic hierarchy, a directed tree rooted at a...
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
This research investigates the automation of security assessment of the static and dynamic properties of cyberinfrastructures, with emphasis on the electrical power grid. We descr...
This paper tackles the consensus problem in asynchronous systems prone to byzantine failures. One way to circumvent the FLP impossibility result consists in adding synchrony assump...