We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
The re-use of a model by someone else than the original developer is still an open challenge. This paper presents composition structures and interface descriptions for discreteeve...
Modern distributed systems often allow independent development of their components. Successful evolution of such systems depends on the flexibility of component interfaces. This p...
Aspect-oriented mechanisms have been widely exploited at the programming-level. Nevertheless, little has been achieved at the architectural level, and this despite the potential b...
Incompatibility of component interaction styles is identified as a major obstacle to interoperability when using off-the-shelf components or dealing with legacy software in compos...