Now showing items 17-32 of 32

    • GaCoVi: a Correlation Visualization to Support Interpretability-Aware Feature Selection for Regression Models 

      Rojo, Diego; Htun, Nyi Nyi; Verbert, Katrien (The Eurographics Association, 2020)
      The recent growth of interest in explainable artificial intelligence (XAI) has resulted in a large number of research efforts to provide accountable and transparent machine learning systems. Although a large volume of ...
    • Glyph-Based Visualization of Affective States 

      Kovacevic, Nikola; Wampfler, Rafael; Solenthaler, Barbara; Gross, Markus; Günther, Tobias (The Eurographics Association, 2020)
      Decades of research in psychology on the formal measurement of emotions led to the concept of affective states. Visualizing the measured affective state can be useful in education, as it allows teachers to adapt lessons ...
    • Influence of Container Resolutions on the Layout Stability of Squarified and Slice-And-Dice Treemaps 

      Knauthe, Volker; Ballweg, Kathrin; Wunderlich, Marcel; Landesberger, Tatiana von; Guthe, Stefan (The Eurographics Association, 2020)
      In this paper, we analyze the layout stability for the squarify and slice-and-dice treemap layout algorithms when changing the visualization containers resolution. We also explore how rescaling a finished layout to another ...
    • Interactive Creation of Perceptually Uniform Color Maps 

      Lambers, Martin (The Eurographics Association, 2020)
      A large number of design rules have been identified for color maps used in Scientific Visualization. One of the most important of these is perceptual uniformity, which at the same time is one of the hardest to guarantee ...
    • Investigating the Role of Locus of Control in Moderating Complex Analytic Workflows 

      Crouser, R. Jordan; Ottley, Alvitta; Swanson, Kendra; Montoly, Ananda (The Eurographics Association, 2020)
      Throughout the last decade, researchers have shown that the effectiveness of a visualization tool depends on the experience, personality, and cognitive abilities of the user. This work has also demonstrated that these ...
    • Joint-Sphere: Intuitive and Detailed Human Joint Motion Representation 

      Kim, Seonghun; Balasubramanyam, Adithya; Kim, Dubeom; Chai, Young Ho; Patil, Ashok Kumar (The Eurographics Association, 2020)
      A motion comparison method using images allows for the motions to be easily recognized and to see differences between each action. However, when using images, orientation differences between similar motions cannot be ...
    • MODELAR: A MODular and EvaLuative framework to improve surgical Augmented Reality visualization 

      Hattab, Georges; Meyer, Felix; Albrecht, Remke Dirk; Speidel, Stefanie (The Eurographics Association, 2020)
      The use of Augmented Reality (AR) for the visualization of 3D biomedical image data is possible thanks to a growing number of hardware and software solutions. Considerable efforts are made during surgery, where the visual ...
    • Progressive Rendering of Transparent Integral Surfaces 

      Tian, Xingze; Günther, Tobias (The Eurographics Association, 2020)
      Integral surfaces are a useful method in illustrative and geometry-based flow visualization, as they convey shading, depth and geometric information better than their line-based counterparts. However, they are not as ...
    • Progressive Uniform Manifold Approximation and Projection 

      Ko, Hyung-Kwon; Jo, Jaemin; Seo, Jinwook (The Eurographics Association, 2020)
      We present a progressive algorithm for the Uniform Manifold Approximation and Projection (UMAP), called the Progressive UMAP. Based on the theory of Riemannian geometry and algebraic topology, UMAP is an emerging dimensionality ...
    • RankBooster: Visual Analysis of Ranking Predictions 

      Puri, Abishek; Ku, Bon Kyung; Wang, Yong; Qu, Huamin (The Eurographics Association, 2020)
      Ranking is a natural and ubiquitous way to facilitate decision-making in various applications. However, different rankings are often used for the same set of entities, with each ranking method placing emphasis on different ...
    • SAMBAVis: Design Study of a Visual Analytics Tool for the Music Industry Powered by YouTube Comments 

      Oliveira, Victor Adriel de Jesus; Stoiber, Christina; Grüblbauer, Johanna; Musik, Christoph; Ringot, Alexis; Gebesmair, Andreas (The Eurographics Association, 2020)
      Data from comments on social media platforms offer valuable information about trends and market changes. Aiming at the music industry, we propose SAMBAVis: a visual analytics tool to handle user-generated content from ...
    • Sketchy Rendering to Aid the Recollection of Regular Visualizations 

      Larsen, Michael Reidun Engelbrecht; Han, Wenkai; Schulz, Hans-Jörg (The Eurographics Association, 2020)
      Some visualizations have a more regular visual appearance than others. For example, while stream graphs or force-directed network layouts feature a unique, almost organic 'look and feel', matrices or unit treemaps can ...
    • Task-based Colormap Design Supporting Visual Comprehension in Process Tomography 

      Zhang, Yuchong; Fjeld, Morten; Said, Alan; Fratarcangeli, Marco (The Eurographics Association, 2020)
      Color coding is a fundamental technique for mapping data to visual representations, allowing people to carry out comprehension-based tasks. Process tomography is a rapidly developing non-invasive imaging technique used in ...
    • TopoLines: Topological Smoothing for Line Charts 

      Rosen, Paul; Suh, Ashley; Salgado, Christopher; Hajij, Mustafa (The Eurographics Association, 2020)
      Line charts are commonly used to visualize a series of data values. When the data are noisy, smoothing is applied to make the signal more apparent. Conventional methods used to smooth line charts, e.g., using subsampling ...
    • Visualising Collocation for Close Writing 

      Roberts, Jonathan C.; Butcher, Peter W. S.; Lew, Robert; Rees, Geraint Paul; Sharma, Nirwan; Frankenberg-Garcia, Ana (The Eurographics Association, 2020)
      We present how we have developed a visualisation tool and text editor to display collocations for the purpose of close writing. Collocations are words that combine together in a natural way. Our design study approach brought ...
    • Width-Scale Bar Charts for Data with Large Value Range 

      Höhn, Markus; Wunderlich, Marcel; Ballweg, Kathrin; Landesberger, Tatiana von (The Eurographics Association, 2020)
      Data sets with large value range are difficult to visualize with traditional linear bar charts. Usually, a logarithmic scale is used in these cases. However, the logarithmic scale suffers from non-linearity. Recently, ...