Now showing items 1-7 of 7

    • Interactive Hierarchical Quote Extraction for Content Insights 

      Knittel, Johannes; Koch, Steffen; Ertl, Thomas (The Eurographics Association, 2019)
      This work presents a new approach to visually summarize large micro-document collections such as tweets. We extract frequent patterns of phrases as shortened quotes to present analysts an overview of popular snippets and ...
    • Model-Agnostic Visual Explanation of Machine Learning Models Based on Heat Map 

      Sawada, Shoko; Toyoda, Masashi (The Eurographics Association, 2019)
      It is essential to assess the trustworthiness of the machine learning models when deploying them to real-world applications, such as healthcare and risk management, in which domain experts need to make critical decisions. ...
    • A Multi-Scale Animation Framework for Biological Fibrous Structures 

      Klein, Tobias; Viola, Ivan; Mindek, Peter (The Eurographics Association, 2019)
      Fibrous structures are ubiquitous in cell biology and play essential structural and functional roles in the life cycle of a cell. They are long polymers, such as DNA carrying genetic information, or filaments forming the ...
    • Shapes of Time: Visualizing Set Changes Over Time in Cultural Heritage Collections 

      Salisu, Saminu; Mayr, Eva; Filipov, Velitchko Andreev; Leite, Roger A.; Miksch, Silvia; Windhager, Florian (The Eurographics Association, 2019)
      In cultural heritage collections, categorization is a central technique used to distinguish cultural movements, styles, or genres. For that end, objects are tagged with set-typed metadata and other information, such as ...
    • A Study on Reflecting User's Emotions Using a Painterly Rendering System 

      Lee, Junghyun; Seo, Sanghyun; Yoon, Kyunghyun (The Eurographics Association, 2019)
      Painters express visual experience in paintings through their own form of artistic expression and viewers feel various emotions about the elements appearing in paintings. However, it is very difficult for non-experts to ...
    • Visual Analysis of Reactionary Train Delay from an Agent Based Model 

      Slingsby, Aidan; Hyde, Jonathan; Turkay, Cagatay (The Eurographics Association, 2019)
      We design and apply interactive visualisation to help understand reactionary (knock-on) delay in trains using a set of 'Monte- Carlo' style Agent Based Model runs, and to help train operating companies design interventions. ...
    • Visualization of Spatial and Temporal Pollution Exposure through a Temporal Ordered Spacial Matrix 

      Wootton, Dylan R.; Goffin, Pascal; Meyer, Miriah (The Eurographics Association, 2019)
      Poor air quality impacts public health due to increased incidences of serious health conditions; yet the data obtained about pollution is recorded at coarse resolution. Such resolution fails to capture known microclimates ...