Now showing items 1-9 of 9

    • EuroVA 2017: Frontmatter 

      Sedlmair, Michael; Tominski, Christian (Eurographics Association, 2017)
    • EuroVA 2018: Frontmatter 

      Tominski, Christian; Landesberger, Tatiana von (The Eurographics Association, 2018)
    • Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques 

      Bors, Christian; Eichner, Christian; Miksch, Silvia; Tominski, Christian; Schumann, Heidrun; Gschwandtner, Theresia (The Eurographics Association, 2020)
      Time series segmentation is employed in various domains and continues to be a relevant topic of research. A segmentation pipeline is composed of different steps involving several parameterizable algorithms. Existing Visual ...
    • Guide Me in Analysis: A Framework for Guidance Designers 

      Ceneda, Davide; Andrienko, Natalia; Andrienko, Gennady; Gschwandtner, Theresia; Miksch, Silvia; Piccolotto, Nikolaus; Schreck, Tobias; Streit, Marc; Suschnigg, Josef; Tominski, Christian (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      Guidance is an emerging topic in the field of visual analytics. Guidance can support users in pursuing their analytical goals more efficiently and help in making the analysis successful. However, it is not clear how guidance ...
    • Immersive Analytics of Heterogeneous Biological Data Informed through Need-finding Interviews 

      Ripken, Christine; Tusk, Sebastian; Tominski, Christian (The Eurographics Association, 2021)
      The goal of this work is to improve existing biological analysis processes by means of immersive analytics. In a first step, we conducted need-finding interviews with 12 expert biologists to understand the limits of current ...
    • Making Parameter Dependencies of Time‐Series Segmentation Visually Understandable 

      Eichner, Christian; Schumann, Heidrun; Tominski, Christian (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      This work presents an approach to support the visual analysis of parameter dependencies of time‐series segmentation. The goal is to help analysts understand which parameters have high influence and which segmentation ...
    • Towards Understanding Edit Histories of Multivariate Graphs 

      Berger, Philip; Schumann, Heidrun; Tominski, Christian (The Eurographics Association, 2022)
      The visual analysis of multivariate graphs increasingly involves not only exploring the data, but also editing them. Existing editing approaches for multivariate graphs support visual analytics workflows by facilitating a ...
    • Unfolding Edges for Exploring Multivariate Edge Attributes in Graphs 

      Bludau, Mark-Jan; Dörk, Marian; Tominski, Christian (The Eurographics Association, 2021)
      With this research we present an approach to network visualization that expands the capabilities for visual encoding and interactive exploration through edges in node-link diagrams. Compared to the various possibilities ...
    • Unfolding Edges: Adding Context to Edges in Multivariate Graph Visualization 

      Bludau, Mark-Jan; Dörk, Marian; Tominski, Christian (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Existing work on visualizing multivariate graphs is primarily concerned with representing the attributes of nodes. Even though edges are the constitutive elements of networks, there have been only few attempts to visualize ...