Multiple-view visualization (MV) is a layout design technique often employed to help users
see a large number of data attributes and values in a single cohesive representation …

We propose the notion of composite visualization views (CVVs) as a theoretical model that
unifies the existing coordinated multiple views (CMV) paradigm with other strategies for …

Knowledge about visualization tasks plays an important role in choosing or building suitable
visual representations to pursue them. Yet, tasks are a multi-faceted concept and it is thus …

In this paper, we discuss the extension and integration of the statistical concept of Kernel
Density Estimation (KDE) in a scatterplot-like visualization for dynamic data at interactive …

In many application fields, data analysts have to deal with datasets that contain many
expressions per item. The effective analysis of such multivariate datasets is dependent on …

Exploration and analysis of high-dimensional data are important tasks in many fields that
produce large and complex data, like the financial sector, systems biology, or cultural …

Medicine is among those research fields with a significant impact on humans and their
health. Already for decades, medicine has established a tight coupling with the visualization …

We describe a visual computing approach to radiation therapy (RT) planning, based on
spatial similarity within a patient cohort. In radiotherapy for head and neck cancer treatment …

In today's data-driven world, decision makers are facing many conflicting objectives. Since
there is usually no solution that optimizes all objectives simultaneously, the aim is to identify …

Computational models, such as simulations, are central to a wide range of fields in science
and industry. Those models take input parameters and produce some output. To fully exploit …