This paper describes a fully automatic twostage machine learning architecture that learns temporal relations between pairs of events. The first stage learns the temporal attribut...
: We present a business process performance evaluation approach based on a hierarchy of interacting analytical performance models from semanticoriented key performance indicator mo...
This paper describes the interaction among language resources for an adequate concept annotation of domain texts in several languages. The architecture includes domain ontology, d...
This work describes the solutions adopted to the problems tackled during the development of SIADEX, an intelligent planning and scheduling application where users play a central r...
Invariance is a necessary feature of a visual system able to recognize real objects in all their possible appearance. It is also the processing step most problematic to understand ...