In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
SSTA has received a considerable amount of attention in recent years. However, it is a general rule that any approach can only be as accurate as the underlying models. Thus, varia...
Brian Cline, Kaviraj Chopra, David Blaauw, Andres ...
Modeling self-adaptive applications is a difficult task due to the complex relationships they have with their environments. Designers of such applications strive to model accurate...
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nef polyhedra in d-dimensional space are the closure of half-spaces under boolean set operation. In consequence, they can represent non-manifold situations, open and closed sets, ...