Browsing 38-Issue 3 by Title

Now showing items 48-59 of 59

    • Topic Tomographies (TopTom): a Visual Approach to Distill Information From Media Streams 

      Gobbo, Beatrice; Balsamo, Duilio; Mauri, Michele; Bajardi, Paolo; Panisson, André; CIUCCARELLI, PAOLO (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper we present TopTom, a digital platform whose goal is to provide analytical and visual solutions for the exploration of a dynamic corpus of user-generated messages and media articles, with the aim of i) distilling ...

    • Toward Understanding Representation Methods in Visualization Recommendations through Scatterplot Construction Tasks 

      L'Yi, Sehi; Chang, Youli; Shin, DongHwa; Seo, Jinwook (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Most visualization recommendation systems predominantly rely on graphical previews to describe alternative visual encodings. However, since InfoVis novices are not familiar with visual representations (e.g., interpretation ...

    • Towards Glyphs for Uncertain Symmetric Second-Order Tensors 

      Gerrits, Tim; Rössl, Christian; Theisel, Holger (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Measured data often incorporates some amount of uncertainty, which is generally modeled as a distribution of possible samples. In this paper, we consider second-order symmetric tensors with uncertainty. In the 3D case, ...

    • A User-based Visual Analytics Workflow for Exploratory Model Analysis 

      Cashman, Dylan; Humayoun, Shah Rukh; Heimerl, Florian; Park, Kendall; Das, Subhajit; Thompson, John; Saket, Bahador; Mosca, Abigail; Stasko, John; Endert, Alex; Gleicher, Michael; Chang, Remco (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some situations, insights may be less important ...

    • V-Awake: A Visual Analytics Approach for Correcting Sleep Predictions from Deep Learning Models 

      Garcia Caballero, Humberto; Westenberg, Michel; Gebre, Binyam; Wijk, Jarke J. van (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The usage of deep learning models for tagging input data has increased over the past years because of their accuracy and highperformance. A successful application is to score sleep stages. In this scenario, models are ...

    • VIAN: A Visual Annotation Tool for Film Analysis 

      Halter, Gaudenz; Ballester-Ripoll, Rafael; Flueckiger, Barbara; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      While color plays a fundamental role in film design and production, existing solutions for film analysis in the digital humanities address perceptual and spatial color information only tangentially. We introduce VIAN, a ...

    • Visual Analysis of Charge Flow Networks for Complex Morphologies 

      Kottravel, Sathish; Falk, Martin; Bin Masood, Talha; linares, mathieu; Hotz, Ingrid (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In the field of organic electronics, understanding complex material morphologies and their role in efficient charge transport in solar cells is extremely important. Related processes are studied using the Ising model and ...

    • A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science 

      Fröhler, Bernhard; Elberfeld, Tim; Möller, Torsten; Hege, Hans-Christian; Weissenböck, Johannes; De Beenhouwer, Jan; Sijbers, Jan; Kastner, Johann; Heinzl, Christoph (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present visual analysis methods for the evaluation of tomographic fiber reconstruction algorithms by means of analysis, visual debugging and comparison of reconstructed fibers in materials science. The methods are ...

    • Visual-Interactive Preprocessing of Multivariate Time Series Data 

      Bernard, Jürgen; Hutter, Marco; Reinemuth, Heiko; Pfeifer, Hendrik; Bors, Christian; Kohlhammer, Jörn (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Pre-processing is a prerequisite to conduct effective and efficient downstream data analysis. Pre-processing pipelines often require multiple routines to address data quality challenges and to bring the data into a usable ...

    • Visualization of Equivalence in 2D Bivariate Fields 

      Zheng, Boyan; Rieck, Bastian; Leitte, Heike; Sadlo, Filip (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper, we show how the equivalence property leads to the novel concept of equivalent regions in mappings from Rn to Rn. We present a technique for obtaining these regions both in the domain and the codomain of such ...

    • Visualization Support for Developing a Matrix Calculus Algorithm: A Case Study 

      Giesen, Joachim; Klaus, Julien; Laue, Sören; Schreck, Ferdinand (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The development of custom interactive visualization tools for specific domains and applications has been made much simpler recently by a surge of visualization tools, libraries and frameworks. Most of these tools are ...

    • Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization 

      Choi, Jinho; Jung, Sanghun; Park, Deok Gun; Choo, Jaegul; Elmqvist, Niklas (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The majority of visualizations on the web are still stored as raster images, making them inaccessible to visually impaired users. We propose a deep-neural-network-based approach that automatically recognizes key elements ...