15 citations · 43 across the 12 of their papers we have counts for
6 papers · 1 filter
Visual Boosting Techniques for Spatiotemporal Dense Pixel Visualizations
Julius Rauscher, Frederik L. Dennig, Udo Schlegel +2
The analysis of spatiotemporal data is essential in domains such as epidemiology and environmental monitoring, where understanding the interplay between spatially distributed pheno…
LCIP: Loss-Controlled Inverse Projection of High-Dimensional Image Data
Yu Wang, Frederik L. Dennig, Michael Behrisch +1
Projections (or dimensionality reduction) methods aim to map high-dimensional data to typically 2D scatterplots for visual exploration. Inverse projection methods aim…
Dissecting Atomic Facts: Visual Analytics for Improving Fact Annotations in Language Model Evaluation
Manuel Schmidt, Daniel A. Keim, Frederik L. Dennig
Factuality evaluation of large language model (LLM) outputs requires decomposing text into discrete "atomic" facts. However, existing definitions of atomicity are underspecified, w…
The Categorical Data Map: A Multidimensional Scaling-Based Approach
Frederik L. Dennig, Lucas Joos, Patrick Paetzold +4
Categorical data does not have an intrinsic definition of distance or order, and therefore, established visualization techniques for categorical data only allow for a set-based or…
Comparative Evaluation of Animated Scatter Plot Transitions
Nils Rodrigues, Frederik L. Dennig, Vincent Brandt +2
Scatter plots are popular for displaying 2D data, but in practice, many data sets have more than two dimensions. For the analysis of such multivariate data, it is often necessary t…
Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers
Maximilian T. Fischer, Frederik L. Dennig, Daniel Seebacher +2
The automated analysis of digital human communication data often focuses on specific aspects such as content or network structure in isolation. This can provide limited perspective…