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cs.HC2024
UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox
Patrick Paetzold, David Hägele, Marina Evers +2
Current research provides methods to communicate uncertainty and adapts classical algorithms of the visualization pipeline to take the uncertainty into account. Various existing vi…
cs.HC2024
Visual Compositional Data Analytics for Spatial Transcriptomics
David Hägele, Yuxuan Tang, Daniel Weiskopf
For the Bio+Med-Vis Challenge 2024, we propose a visual analytics system as a redesign for the scatter pie chart visualization of cell type proportions of spatial transcriptomics d…
cs.HC2024
Bridging Quantitative and Qualitative Methods for Visualization Research: A Data/Semantics Perspective in Light of Advanced AI
Daniel Weiskopf
This paper revisits the role of quantitative and qualitative methods in visualization research in the context of advancements in artificial intelligence (AI). The focus is on how w…