Weighted averaging of classifier outputs is used in many MCSs, yet is still not well understood. Several empirical studies have investigated the effect that non-negativity and su...
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
In order to enable intuitive physical interaction with autonomous robots as well as in collaborative multi-user virtual reality and teleoperation systems a deep understanding of h...
Abstract—Runtime monitoring, where some part of a program’s behavior and/or data is observed during execution, is a very useful technique that software developers to use for un...
This paper presents a novel computational approach to the study of creativity. In particular, it discusses a modeling framework that addresses the worth of ideas ascribed by agent...