Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
: Social-aware computing is an emerging trend based on ubiquitous computing technologies and collaborative work. A successful design demands a better understanding of group tasks, ...
How we design and evaluate for emotions depends crucially on what we take emotions to be. In affective computing, affect is often taken to be another kind of information - discret...
The standard 4-dimensional Minkowski space-time of special relativity is based on the 3-dimensional Euclidean metric. In 1967, H. Busemann showed that similar static space-time mo...
In the field of Human-Computer Interaction, provenance refers to the history and genealogy of a document or file. Provenance helps us to understand the evolution and relationships...
Carlos Jensen, Heather Lonsdale, Eleanor Wynn, Jil...