Now showing items 1-9 of 9

    • The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations 

      Chatzimparmpas, Angelos; Martins, Rafael M.; Jusufi, Ilir; Kucher, Kostiantyn; Rossi, Fabrice; Kerren, Andreas (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Machine learning (ML) models are nowadays used in complex applications in various domains, such as medicine, bioinformatics, and other sciences. Due to their black box nature, however, it may sometimes be hard to understand ...
    • A Survey on Transit Map Layout - from Design, Machine, and Human Perspectives 

      Wu, Hsiang-Yun; Niedermann, Benjamin; Takahashi, Shigeo; Roberts, Maxwell J.; Nöllenburg, Martin (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Transit maps are designed to present information for using public transportation systems, such as urban railways. Creating a transit map is a time-consuming process, which requires iterative information selection, layout ...
    • A Survey of Seed Placement and Streamline Selection Techniques 

      Sane, Sudhanshu; Bujack, Roxana; Garth, Christoph; Childs, Hank (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Streamlines are an extensively utilized flow visualization technique for understanding, verifying, and exploring computational fluid dynamics simulations. One of the major challenges associated with the technique is selecting ...
    • Privacy-Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities 

      Bhattacharjee, Kaustav; Chen, Min; Dasgupta, Aritra (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Preservation of data privacy and protection of sensitive information from potential adversaries constitute a key socio-technical challenge in the modern era of ubiquitous digital transformation. Addressing this challenge ...
    • State of the Art in Time-Dependent Flow Topology: Interpreting Physical Meaningfulness Through Mathematical Properties 

      Bujack, Roxana; Yan, Lin; Hotz, Ingrid; Garth, Christoph; Wang, Bei (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We present a state-of-the-art report on time-dependent flow topology. We survey representative papers in visualization and provide a taxonomy of existing approaches that generalize flow topology from time-independent to ...
    • Survey on the Analysis of User Interactions and Visualization Provenance 

      Xu, Kai; Ottley, Alvitta; Walchshofer, Conny; Streit, Marc; Chang, Remco; Wenskovitch, John (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      There is fast-growing literature on provenance-related research, covering aspects such as its theoretical framework, use cases, and techniques for capturing, visualizing, and analyzing provenance data. As a result, there ...
    • Survey on Individual Differences in Visualization 

      Liu, Zhengliang; Crouser, R. Jordan; Ottley, Alvitta (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Developments in data visualization research have enabled visualization systems to achieve great general usability and application across a variety of domains. These advancements have improved not only people's understanding ...
    • EuroVis 2020 CGF 39-3 STARs: Frontmatter 

      Smit, Noeska; Oeltze-Jafra, Steffen; Wang, Bei (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    • The State of the Art in Map-Like Visualization 

      Hogräfer, Marius; Heitzler, Magnus; Schulz, Hans-Jörg (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Cartographic maps have been shown to provide cognitive benefits when interpreting data in relation to a geographic location. In visualization, the term map-like describes techniques that incorporate characteristics of ...