Abstract. Model Transformations can be used to bridge the gap between design and analysis technical spaces by creating tools that allow a model produced by a designer to be transfo...
Seyyed M. A. Shah, Kyriakos Anastasakis, Behzad Bo...
This paper describes the use of dynamic Bayesian networks for the task of articulatory feature recognition. We show that by modeling the dependencies between a set of 6 multi-leve...
We have recently shown how use cases can be systematically transformed into UML state charts considering all relevant information from a use case specification, including pre- and ...
The major concerns in state-of-the-art model reduction algorithms are: achieving accurate models of sufficiently small size, numerically stable and efficient generation of the mod...
Joel R. Phillips, Luca Daniel, Luis Miguel Silveir...
Background: In a high throughput setting, effective flow cytometry data analysis depends heavily on proper data preprocessing. While usual preprocessing steps of quality assessmen...
Greg Finak, Juan-Manuel Perez, Andrew Weng, Raphae...