41 citations · 54 across the 9 of their papers we have counts for
10 papers
XALIGN: A Human-centric Visual Analytics Approach to Understanding AI Explanations
Bahavathy Kathirgamanathan, Gennady Andrienko, Natalia Andrienko +1
Explainable AI (XAI) methods are usually evaluated for technical properties such as faithfulness and robustness. In high-stakes application domains, experts also need to check mode…
Streami: An MPI Data-Parallel Library to Compute Field Lines on GPUs
Stefan Zellmann, Milan Jaros, Andrea Paris +2
We present Streami, an extensible GPU-accelerated library for the computation of field lines in fluid flows on high-performance computers. Streami acts as a thin layer used for bot…
RAFI -- A Ray/Work Forwarding Infrastructure for Data Parallel Multi-Node/Multi-GPU Computing
Ingo Wald, Serkan Demirci, Alper Sahistan +7
We present RaFI, a CUDA and MPI based software framework that simplifies the task of building GPU-enabled data-parallel software where rays or similar work items need to migrate be…
Beware of Validation by Eye: Visual Validation of Linear Trends in Scatterplots
Daniel Braun, Remco Chang, Michael Gleicher +1
Visual validation of regression models in scatterplots is a common practice for assessing model quality, yet its efficacy remains unquantified. We conducted two empirical experimen…
Learning Human Detected Differences in Directed Acyclic Graphs
Kathrin Guckes, Alena Beyer, Margit Pohl +1
Prior research has shown that human perception of similarity differs from mathematical measures in visual comparison tasks, including those involving directed acyclic graphs. This…
A Shape Change Enhancing Hierarchical Layout for the Pairwise Comparison of Directed Acyclic Graphs
Kathrin Guckes, Marc Schäpers, Margit Pohl +2
Comparing directed acyclic graphs is essential in various fields such as healthcare, social media, finance, biology, and marketing. DAGs often result from contagion processes over…
GuidelineExplorer -- Navigating through the Forrest of Actionable Guidelines on Node-Link Graph Visualization
Kathrin Guckes, Lisa Eisenhardt, Margit Pohl +1
Creating graph visualizations involves many decisions, such as layout, node and edge appearance, and color choices. These decisions are challenging due to the multitude of options…
Reclaiming the Horizon: Novel Visualization Designs for Time-Series Data with Large Value Ranges
Daniel Braun, Rita Borgo, Max Sondag +1
We introduce two novel visualization designs to support practitioners in performing identification and discrimination tasks on large value ranges (i.e., several orders of magnitude…
Color Coding of Large Value Ranges Applied to Meteorological Data
Daniel Braun, Kerstin Ebell, Vera Schemann +4
This paper presents a novel color scheme designed to address the challenge of visualizing data series with large value ranges, where scale transformation provides limited support.…
In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals
T. Baumgartl, M. Petzold, M. Wunderlich +10
Pathogen outbreaks (i.e., outbreaks of bacteria and viruses) in hospitals can cause high mortality rates and increase costs for hospitals significantly. An outbreak is generally no…