Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
The framework for automatic mediation of two process models composed of semantically annotated web services is presented. Process mediation is hard because of many possible mismat...
We introduce branching process models in discrete and continuous time for the exponentially increasing phase of cascading blackouts. Cumulative line trips from real blackout data ...
The development of inter-organizational systems requires a well defined development process. UN/CEFACT's Modeling Methodology (UMM) provides such a development process. We se...
Christian Huemer, Philipp Liegl, Thomas Motal, Rai...
This paper focuses on the process of designing and implementing a community platform for cancer patients with the objective to derive a process model for community engineering. Fo...
Yvonne Arnold, Jan Marco Leimeister, Helmut Krcmar