This paper is about a better understanding on the structure and dynamics of science and the usage of these insights for compensating the typical problems that arises in metadata-d...
The wide diffusion of new technologies in communication and business has changed how consumer and product/store knowledge has to be managed and represented digitally. This issue h...
Pierpaolo Singer, Maria Antonella Ferri, Lucia Aie...
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
The POIROT project is a four-year effort to develop an architecture that integrates the products of a number of targeted reasoning and learning components to produce executable re...
Mark H. Burstein, Fusun Yaman, Robert Laddaga, Rob...
— Scanning transmission electron microscopes are indispensable tools for material science research, since they can reveal the internal structure of a wide range of specimens. Thu...
Arturo Tejada, Wouter Van den Broek, Saartje W. va...