Applications written for mobile devices have become more and more complex, adjusting to the constantly improving computational power of hardware. With the growing application size ...
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...
An important concern in web based educational environment is the task of designing and preparing learner assessment, which would enhance the learning process. Currently the majori...
As part of the European PROLIX (Process Oriented Learning and Information eXchange) project, VUB STARLab designed a generic ontologybased data matching framework (ODMF). Within the...