We analyze a neural network model of the Eriksen task, a twoalternative forced choice task in which subjects must correctly identify a central stimulus and disregard flankers that...
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
With the advent of globalization and the Internet, the concept of global software development is gaining ground. The global development model opens up the possibility of 24-hour s...
This paper shows how information visualization techniques can be used to improve the effectiveness of task model representations. In particular, we discuss how fisheye and semanti...
Abstract—In this paper we present work on adaptive identification of learners’ strategies, gradually developing a higher level of adaptation based on evolving models of mathem...