This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
The aim of this study is to present a contribution in the area of human decision modeling. A state of the art from this research area shows the lack of models combining perceptive...
: This article discusses the development of a model that defines the optimal sampling behaviour of operators in a multi-task flight simulation, where one of the tasks is automated....
: This paper addresses two important aspects of Web service compositions - on the one hand, flexibility of Web service (WS) compositions, and on the other the automatic development...