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Visual Analytics of Simulation Ensembles for Network Dynamics
(The Eurographics Association, 2019)
A central question in the field of Network Science is to analyze the role of a given network topology on the dynamical behavior captured by time-varying simulations executed on the network. These dynamical systems are also ...
Interactive Generation of 1D Embeddings from 2D Multi-dimensional Data Projections
(The Eurographics Association, 2020)
Visual analysis of multi-dimensional data is commonly supported by mapping the data to a 2D embedding. When analyzing a sequence of multi-dimensional data, e.g., in case of temporal data, the usage of 1D embeddings allows ...
Uni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensembles
(The Eurographics Association, 2019)
The aim of uncertainty-aware scalar field visualization is to convey the most likely case, but also the uncertainty associated with it. In scientific simulations, uncertainty can be modeled using an ensemble approach. ...
A Visual Analytics Tool for Cohorts in Motion Data
(The Eurographics Association, 2019)
Motion data are curves over time in a 1D, 2D, or 3D space. To analyze sets of curves, machine learning methods can be applied to cluster them and detect outliers. However, often metadata or prior knowledge of the analyst ...
Visual Ensemble Analysis to Study the Influence of Hyper-parameters on Training Deep Neural Networks
(The Eurographics Association, 2019)
A good deep neural network design allows for efficient training and high accuracy. The training step requires a suitable choice of several hyper-parameters. Limited knowledge exists on how the hyper-parameters impact the ...
TrustVis 2019: Frontmatter
(The Eurographics Association, 2019)
Axes Bundling and Brushing in Star Coordinates
(The Eurographics Association, 2021)
Visual analysis of multidimensional data commonly involves dimensionality reduction to project the data samples into a lowerdimensional visual space. Star coordinates (SC) provide a means to explore the multidimensional ...
Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates
(The Eurographics Association, 2022)
Biomarkers are measurable biological properties that allow for distinguishing subjects of different cohorts such as healthy vs. diseased. In the context of diagnosing diseases of the cardiovascular system, researchers aim ...
Interactive Visual Analysis of Regional Time Series Correlation in Multi-field Climate Ensembles
(The Eurographics Association, 2023)
Spatio-temporal multi-field data resulting from ensemble simulations are commonly used in climate research to investigate possible climatic developments and their certainty. One analysis goal is the investigation of possible ...