Abstract. Triple Graph Grammars (TGGs) are a well-established concept for the specification of model transformations. In previous work we have formalized and analyzed already cruc...
Frank Hermann, Hartmut Ehrig, Fernando Orejas, Ulr...
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Abstract. As the dynamicity of today's business environments keeps increasing, there is a need to continuously adapt business processes in order to respond to the changes in t...
Gabriel Hermosillo, Lionel Seinturier, Laurence Du...
Abstract. This article deals with performance verifications of architecture models of real-time embedded systems. We focus on models verified with the real-time scheduling theory...
Alain Plantec, Frank Singhoff, Pierre Dissaux, J&e...
Interpolating diffusion tensor fields is a key technique to visualize the continuous behaviors of biological tissues such as nerves and muscle fibers. However, this has been stil...