Modeling data warehouses is a complex task focusing, very often, into internal structures and implementation issues. In this paper we argue that, in order to accurately reflect the...
Nectaria Tryfona, Frank Busborg, Jens G. Borch Chr...
Generative models such as statistical language modeling have been widely studied in the task of expert search to model the relationship between experts and their expertise indicat...
To contribute to systems that reason about human attention, our work empirically demonstrates how a user's mental workload changes during task execution. We conducted a study...
Shamsi T. Iqbal, Piotr D. Adamczyk, Xianjun Sam Zh...
Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these p...
The properties of a domain oriented modelling approach or language are determined by the dominant semantics of the domain. A significant subclass that needs particular attention,...