—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...
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
This paper explores the process of validation for the syntax of a graphical notation. We define a unified specification for five of the UML diagrams used by the Discovery Method a...
The Object Constraint Language (OCL) is a precise language for notating behavioural constraints on UML models. Constraint diagrams have been proposed as a means of notating similar...
We show how cultural selection for learnability during the process of linguistic evolution can be visualized using a simple iterated learning model. Computational models of linguis...