In this paper we introduce several new improvements to the bottom-up model generation (BUMG) paradigm. Our techniques are based on non-trivial transformations of first-order probl...
Defining information required by automatic test systems frequently involves a description of system behavior. To facilitate capturing the required behavior information in the cont...
Model-driven engineering (MDE) techniques address rapid changes anguages and platforms by lifting the abstraction level from code to models. On the one hand models are transformed ...
In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...
Abstract. We introduce a generative probabilistic model for segmentation of tumors in multi-dimensional images. The model allows for different tumor boundaries in each channel, ref...
Bjoern H. Menze, Koenraad Van Leemput, Danial Lash...