: At present a large amount of research exists into the design and implementation of adaptive systems. However, not many target the complex task of authoring in such systems, or th...
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
In this paper we propose a meta-modeling approach to adaptive knowledge management. It extends previous work by introducing an application-specific layer which allows to specify m...
As web information systems tend to mature it has become increasingly important to have an engineered design of such systems. Hera is a design methodology that supports the develop...
Flavius Frasincar, Geert-Jan Houben, Peter Barna, ...