This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
Decision making is tightly related to the understanding of the design and manufacturing practices. In our previous work, we proposed an intuitive approach for geometric modeling in...
Ioana Ciuciu, Robert Meersman, Estelle Perrin, Fr&...
Aspect-oriented software presents new challenges for the designers of static analyses. Our work aims to establish systematic foundations for dataflow analysis of AspectJ software....
It’s hard to argue against the concepts of self-describing data, contextual interfaces, and richer metadata for content that eventually will make up the Semantic Web. The need i...
This paper proposes a logic-oriented framework for institutional agents specification and analysis. Within this framework institutional agents are seen as artificial agents that a...