Browsing VMV19 by Subject "Visual analytics"

Now showing items 1-3 of 3

    • Learning a Perceptual Quality Metric for Correlation in Scatterplots 

      Wöhler, Leslie; Zou, Yuxin; Mühlhausen, Moritz; Albuquerque, Georgia; Magnor, Marcus (The Eurographics Association, 2019)
      Visual quality metrics describe the quality and efficiency of multidimensional data visualizations in order to guide data analysts during exploration tasks. Current metrics are usually based on empirical algorithms which ...

    • Open-Box Training of Kernel Support Vector Machines: Opportunities and Limitations 

      Khatami, Mohammad; Schultz, Thomas (The Eurographics Association, 2019)
      Kernel Support Vector Machines (SVMs) are widely used for supervised classification, and have achieved state-of-the-art performance in numerous applications. We aim to further increase their efficacy by allowing a human ...

    • Visual Analysis of Probabilistic Infection Contagion in Hospitals 

      Wunderlich, Marcel; Block, Isabelle; von Landesberger, Tatiana; Petzold, Markus; Marschollek, Michael; Scheithauer, Simone (The Eurographics Association, 2019)
      Clinicians and hygienists need to know how an infection of one patient could be transmitted among other patients in the hospital (e.g., to prevent outbreaks). They need to analyze how many and which patients will possibly ...