This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
Joaquin Rios-Boutin, Albert Orriols-Puig, Josep Ma...
Model transformation is one of the pillars of Model-Driven Engineering (MDE). The increasing complexity of systems and modelling languages has dramatically raised the complexity an...
Esther Guerra, Juan de Lara, Dimitrios S. Kolovos,...
Using discrete-event simulation models, a study was conducted to evaluate the current production practices of a high-volume semiconductor back-end operation. The overall goal was ...
Joerg Domaschke, Steven Brown, Jennifer Robinson, ...
We have obtained the valuable findings about the developmental processes of demonstrative expression skills, which is concerned with the fundamental commonsense of human knowledge...
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...