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...
This paper describes a multichannel acoustic data collection recorded under the European DICIT project, during the Wizard of Oz (WOZ) experiments carried out at FAU and FBK-irst l...
Alessio Brutti, Luca Cristoforetti, Walter Kellerm...
This paper shows a web tool designed to encourage an active reader comprehension. Being a web-technology based system, it allows easy access for a wide number of users around the ...
This paper presents an application for semiautomatic repositioning of bone fractures that allows the merging of several fragments. This application has been developed with regard ...
Michael Scheuering, Christof Rezk-Salama, Christia...
Comprehending results from 3D CFD simulation is a difficult task. In this paper, we present a semantics-based approach to featurebased volume rendering of 3D flow data. We make ...