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LFPeers: Temporal Similarity Search in Covid-19 Data
(The Eurographics Association, 2021)
While there is a wide variety of visualizations and dashboards to help understand the data of the Covid-19 pandemic, hardly any of these support important analytical tasks, especially of temporal attributes. In this paper, ...
A Design Space for Explainable Ranking and Ranking Models
(The Eurographics Association, 2022)
Item ranking systems support users in multi-criteria decision-making tasks. Users need to trust rankings and ranking algorithms to reflect user preferences nicely while avoiding systematic errors and biases. However, today ...
EuroVa 2021: Frontmatter
(The Eurographics Association, 2021)
EuroVa 2022: Frontmatter
(The Eurographics Association, 2022)
LayoutExOmizer: Interactive Exploration and Optimization of 2D Data Layouts
(The Eurographics Association, 2021)
Reducing the overlap of data points in 2D visualizations while preserving original positions is a challenging task. Traditionally, hand-crafted solutions have been proposed while more recently layout algorithms with a high ...
RankASco: A Visual Analytics Approach to Leverage Attribute-Based User Preferences for Item Rankings
(The Eurographics Association, 2022)
Item rankings are useful when a decision needs to be made, especially if there are multiple attributes to be considered. However, existing tools either do not support both categorical and numerical attributes, require ...
Interactive Visual Explanation of Incremental Data Labeling
(The Eurographics Association, 2022)
We present a visual analytics approach for the in-depth analysis and explanation of incremental machine learning processes that are based on data labeling. Our approach offers multiple perspectives to explain the process, ...
Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics
(The Eurographics Association, 2020)
Guidance processes in visual analytics applications often lack adaptivity. In this position paper, we contribute the concept of co-adaptive guidance, building on the principles of initiation and adaptation. We argue that ...
A Taxonomy of Attribute Scoring Functions
(The Eurographics Association, 2021)
Shifting the analysis from items to the granularity of attributes is a promising approach to address complex decision-making problems. In this work, we study attribute scoring functions (ASFs), which transform values from ...
Evaluation of Volume Representation Networks for Meteorological Ensemble Compression
(The Eurographics Association, 2022)
Recent studies have shown that volume scene representation networks constitute powerful means to transform 3D scalar fields into extremely compact representations, from which the initial field samples can be randomly ...