Browsing 39-Issue 3 by Issue Date

Now showing items 41-49 of 49

    • Boxer: Interactive Comparison of Classifier Results 

      Gleicher, Michael; Barve, Aditya; Yu, Xinyi; Heimerl, Florian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Machine learning practitioners often compare the results of different classifiers to help select, diagnose and tune models. We present Boxer, a system to enable such comparison. Our system facilitates interactive exploration ...

    • Knowledge-Assisted Comparative Assessment of Breast Cancer using Dynamic Contrast-Enhanced Magnetic Resonance Imaging 

      Nie, Kai; Baltzer, Pascal; Preim, Bernhard; Mistelbauer, Gabriel (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Breast perfusion data are dynamic medical image data that depict perfusion characteristics of the investigated tissue. These data consist of a series of static datasets that are acquired at different time points and ...

    • Phase Space Projection of Dynamical Systems 

      Bartolovic, Nemanja; Gross, Markus; Günther, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Dynamical systems are commonly used to describe the state of time-dependent systems. In many engineering and control problems, the state space is high-dimensional making it difficult to analyze and visualize the behavior ...

    • Quantitative Evaluation of Time-Dependent Multidimensional Projection Techniques 

      Vernier, Eduardo Faccin; Garcia, Rafael; Silva, Iron Prando da; Comba, João L. D.; Telea, Alexandru C. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Dimensionality reduction methods are an essential tool for multidimensional data analysis, and many interesting processes can be studied as time-dependent multivariate datasets. There are, however, few studies and proposals ...

    • MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior 

      Cakmak, Eren; Schäfer, Hanna; Buchmüller, Juri; Fuchs, Johannes; Schreck, Tobias; Jordan, Alex; Keim, Daniel A. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Domain experts for collective animal behavior analyze relationships between single animal movers and groups of animals over time and space to detect emergent group properties. A common way to interpret this type of data ...

    • LOCALIS: Locally-adaptive Line Simplification for GPU-based Geographic Vector Data Visualization 

      Amiraghdam, Alireza; Diehl, Alexandra; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Visualization of large vector line data is a core task in geographic and cartographic systems. Vector maps are often displayed at different cartographic generalization levels, traditionally by using several discrete ...

    • v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions 

      Blumenschein, Michael; Debbeler, Luka J.; Lages, Nadine C.; Renner, Britta; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Comparing data distributions is a core focus in descriptive statistics, and part of most data analysis processes across disciplines. In particular, comparing distributions entails numerous tasks, ranging from identifying ...

    • Understanding the Design Space and Authoring Paradigms for Animated Data Graphics 

      Thompson, John R.; Liu, Zhicheng; Li, Wilmot; Stasko, John (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Creating expressive animated data graphics often requires designers to possess highly specialized programming skills. Alternatively, the use of direct manipulation tools is popular among animation designers, but these tools ...

    • Extraction of Distinguished Hyperbolic Trajectories for 2D Time-Dependent Vector Field Topology 

      Hofmann, Lutz; Sadlo, Filip (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      This paper does two main contributions to 2D time-dependent vector field topology. First, we present a technique for robust, accurate, and efficient extraction of distinguished hyperbolic trajectories (DHT), the generative ...