The ever-increasing amount of information flowing through Social Media forces the members of these networks to compete for attention and influence by relying on other people to sp...
Daniel M. Romero, Wojciech Galuba, Sitaram Asur, B...
This paper proposes a bio-inspired approach tailored to the construction of a Grid information system in which content, specifically metadata descriptors that specify the characte...
Agostino Forestiero, Carlo Mastroianni, Giandomeni...
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
By providing credit risk information, credit rating systems benefit most participants in financial markets, including issuers, investors, market regulators and intermediaries. In ...
This paper generalizes Markov Random Field (MRF) stereo methods to the generation of surface relief (height) fields rather than disparity or depth maps. This generalization enable...
George Vogiatzis, Philip H. S. Torr, Steven M. Sei...