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A Descriptive Framework for Stories of Algorithms
(The Eurographics Association, 2019)
Data-driven stories, widely used in journalism and scientific communication, match well with the recent focus on interpretable machine learning and AI explainability. Current technologies allow authors to break away from ...
Visual Mapping of Nobel Prizes
(The Eurographics Association, 2019)
Nobel Prizes tendencies can be an essential indicator of country development. The main objective of this work is to enable the visualization of the evolution of the chemistry and physics Nobel Prizes according to spatial, ...
A Review of Guidance Approaches in Visual Data Analysis: A Multifocal Perspective
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Visual data analysis can be envisioned as a collaboration of the user and the computational system with the aim of completing a given task. Pursuing an effective system-user integration, in which the system actively helps ...
A Construction Kit for Visual Exploration Interfaces
(The Eurographics Association, 2019)
With a continuously increasing amount of data and resources on the internet and in large document collections, effective visual exploration interfaces are becoming more and more important. In recent years, many novel ...
Moving Together: Towards a Formalization of Collective Movement
(The Eurographics Association, 2019)
While conventional applications for spatiotemporal datasets mostly focus on the relation between movers and environment, research questions in the analysis of collective movement typically focus more on relationships and ...
Text Visualization Revisited: The State of the Field in 2019
(The Eurographics Association, 2019)
Text and document data visualization is an important research field within information visualization and visual analytics with multiple application domains including digital humanities and social media, for instance. During ...
Quantifying Uncertainty in Multivariate Time Series Pre-Processing
(The Eurographics Association, 2019)
In multivariate time series analysis, pre-processing is integral for enabling analysis, but inevitably introduces uncertainty into the data. Enabling the assessment of the uncertainty and allowing uncertainty-aware analysis, ...