Geo-sciences involve large-scale parallel models, high resolution real time data from highly asynchronous and heterogeneous sensor networks and instruments, and complex analysis a...
tic modalities for correctness [16]. The release described in this abstract is a complete rebuild of a preliminary experimental checker [14]. The model input language includes vari...
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...
Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. Often, t...
Matthew Perry, Amit P. Sheth, Farshad Hakimpour, P...
In our earlier work we have proposed using the declarative language DecSerFlow for modeling, analysis and enactment of processes in autonomous web services. DecSerFlow uses constra...
Maja Pesic, Dragan Bosnacki, Wil M. P. van der Aal...