This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
We propose a class of actor-oriented statistical models for closed social networks in general, and friendship networks in particular. The models are random utility models develope...
Gerhard G. Van De Bunt, Marijtje A. J. Van Duijn, ...
In the near future, homes are envisioned to be equipped with numerous intelligent communicating devices. Such smart home needs to exhibit highly adaptive behavior to meet the inha...
This paper presents the design principles, development and implementation of an e-learning framework, called Intelligent Cognitive Agents (InCA). The InCA framework is an ontology...
Liana Razmerita, Thierry Nabeth, Albert A. Angehrn...