3 papers
cs.HC2026
Dynamic Tree Colors: Adaptive Discriminable Hierarchies with Minimum Instability
Tobias Mertz, Steven Lamarr Reynolds, Jörn Kohlhammer
Hierarchical color maps can support users in the analysis of hierarchical data. For large hierarchies, dynamic color maps can improve discriminability upon user interactions, but t…
cs.HC2026
Interactive Analysis of Global Explanations using Aggregated Class Activation Maps for Network Data
Igor Cherepanov, David Sessler, Alex Ulmer +3
Recent machine learning (ML) advances have demonstrated that deep learning (DL) achieves impressive results in different application domains, including the classification of comput…
cs.HC2025
Reflections on the Use of Dashboards in the Covid-19 Pandemic
Alessio Arleo, Rita Borgo, Jörn Kohlhammer +3
Dashboards have arguably been the most used visualizations during the COVID-19 pandemic. They were used to communicate its evolution to national governments for disaster mitigation…