This paper presents a domain-independent architecture for facilitating visual problem solving between robots or softbots and humans. The architecture denes virtual and human agen...
—This paper describes a new method to explore and discover within a large data set. We apply techniques from preference elicitation to automatically identify data elements that a...
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Imagine a professional Web site designer who constantly has to come up with innovative looks for the client's homepages? How does he find the new content? The major search en...
Visual representations are widely used to describe modern-day software systems, but, in most cases, they lack rigour. This paper addresses the problems of formality, rigour and co...