Abstract. In the business process management community, transformations for process models are usually programmed using imperative languages (such as Java). The underlying mapping ...
In recent years, a research thread focused on the use of the unfolding semantics for verification purposes. This started with a paper by McMillan, which devises an algorithm for co...
Paolo Baldan, Alessandro Bruni, Andrea Corradini, ...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Abstract. Random intersection graphs (RIGs) are an important random structure with algorithmic applications in social networks, epidemic networks, blog readership, and wireless sen...
Milan Bradonjic, Aric A. Hagberg, Nicolas W. Henga...
Abstract. In this paper, we report on the development of a methodology for the evolution of software towards new architectures. In our approach, we represent source code as graphs....
Rui Correia, Carlos M. P. Matos, Reiko Heckel, Moh...