Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
In this paper we present a software framework which supports the construction of mixed-fidelity (from sketch-based to software) prototypes for mobile devices. The framework is ava...
For most scientists, their research interests are dynamically changing all the time. Through an analysis of research interests, we find that all the changes are with some character...
This article describes applications of modern heuristic search methods to pattern sequencing problems, i.e., problems seeking for a permutation of the rows of a given matrix with r...
To exactly detect what events occur in baseball games, a framework that integrates rule-based and model-based decision methods is proposed. The rule-based decision module infers w...