Software systems are often written in more than one programming language. During development, programmers need to understand not only the dependencies among code in a particular l...
Daniel L. Moise, Kenny Wong, H. James Hoover, Daqi...
Statistical shape modeling is widely used for medical image segmentation and interpretation. The main problem in building a shape model is the construction of a pointwise correspon...
Toon Huysmans, Jan Sijbers, Filiep Vanpoucke, Brig...
Retrieving data based not only on key words is a challenge. We worked on semi-structured data (cultural heritage corpora). Our project aimed at getting the most relevant text-unit...
Julien Lesbegueries, Christian Sallaberry, Mauro G...
Research in face-to-face communication has identified a variety of largely unconscious patterns of behavior that are used by collaborators to coordinate their conversation, build ...
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...