Time-driven simulation models typically model timing in an idealized way that is over-constrained and cannot be directly implemented. In this paper we present a transformation to ...
Marek Jersak, Ying Cai, Dirk Ziegenbein, Rolf Erns...
Abstract. Pattern-based model-to-model transformation is a new approach for specifying transformations in a declarative, relational and formal style. The language relies on pattern...
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
This paper presents our approach to model distributed discrete event simulation systems in the framework of distributed graph transformation. We use distributed typed attributed g...
The multicampaign assignment problem is a campaign model to overcome the multiple-recommendation problem that occurs when conducting several personalized campaigns simultaneously. ...