Now showing items 1-20 of 28

    • Visualizing Pairwise Feature Interactions in Neural Additive Models 

      Steinparz, Christian; Hinterreiter, Andreas; Streit, Marc (The Eurographics Association, 2023)
      We present an approach for incorporating feature interactions into Neural Additive Models (NAMs), building upon existing work in this area, to enhance their predictive capabilities while maintaining interpretability. Our ...
    • Visual Planning and Analysis of Latin Formation Dance Patterns 

      Beck, Samuel; Doerr, Nina; Schmierer, Fabian; Sedlmair, Michael; Koch, Steffen (The Eurographics Association, 2023)
      Latin formation dancing is a team sport in which up to eight couples perform a coordinated choreography. A central part are the patterns formed by the dancers on the dance floor and the transitions between them. Planning ...
    • A Dashboard for Interactive Convolutional Neural Network Training And Validation Through Saliency Maps 

      Cech, Tim; Simsek, Furkan; Scheibel, Willy; Döllner, Jürgen (The Eurographics Association, 2023)
      Quali-quantitative methods provide ways for interrogating Convolutional Neural Networks (CNN). For it, we propose a dashboard using a quali-quantitative method based on quantitative metrics and saliency maps. By those ...
    • MILADY (Matrix+Linear Diagram): Visual Exploration and Edition of Multivariate Graphs for Computer Networks Management 

      Guglielmino, Mathieu; Bronzino, Francesco; Sallaberry, Arnaud; Monnet, Sébastien (The Eurographics Association, 2023)
      This poster introduces MILADY (Matrix+Linear Diagram), a visual method for exploring and editing multivariate graphs from a computer networks perspective. Existing methods usually require multiple views, but our integrated ...
    • EuroVis 2023 Posters: Frontmatter 

      Gillmann, Christina; Krone, Michael; Lenti, Simone (The Eurographics Association, 2023)
    • Putting Annotations to the Test 

      Becker, Franziska; Ertl, Thomas (The Eurographics Association, 2023)
      When users work with interactive visualization systems, they get to see more accessible representations of raw data and interact with these, e.g. by filtering the data or modifying the visualization parameters like color. ...
    • Symbolic Event Visualization for Analyzing User Input and Behavior of Augmented Reality Sessions 

      Rabsahl, Solveig; Satzger, Thomas; Kalamkar, Snehanjali; Grubert, Jens; Beck, Fabian (The Eurographics Association, 2023)
      Interacting with augmented reality (AR) systems involves different domains and is more complex than interacting with traditional user interfaces. To analyze AR interactions, we suggest an event visualization approach that ...
    • CitadelPolice: An Interactive Visualization Environment for Scenario Testing on Criminal Networks 

      Roelofsen, Liza A. S.; Oetker, Frederike; Lely, Miles van der; Belleman, Robert G.; Quax, Rick (The Eurographics Association, 2023)
      Criminal networks have proven to be highly resilient against law enforcement interventions. This resiliency has driven researchers to investigate these networks further. However, the obtained insights reaching law enforcement ...
    • A Tour Through the Zoo of Scented Widgets 

      Ciorna, Vasile; Médoc, Nicolas; Melançon, Guy; Petry, Frank; Ghoniem, Mohammad (The Eurographics Association, 2023)
      Software developers can choose among many popular widget toolkits to build graphical user interfaces quickly. Widgets like sliders, buttons and scrollbars are widespread and well-understood by the public. They allow users ...
    • Visual Linkage and Interactive Features of Evidente for an Enhanced Analysis of SNP-based Phylogenies 

      Paz, Mathias Witte; Harbig, Theresa; Varga, Dolores; Kränzle, Eileen; Nieselt, Kay (The Eurographics Association, 2023)
      Phylogenetic trees of a set of bacterial strains are often used to analyze their evolutionary relationships and they are commonly based on genomic features, such as single nucleotide polymorphisms (SNPs). Evidente - a ...
    • Unveiling the Dispersal of Historical Books from Religious Orders 

      Xing, Yiwen; Yan, Dengyi; Dondi, Cristina; Borgo, Rita; Abdul-Rahman, Alfie (The Eurographics Association, 2023)
      In this paper, we introduce a visualization prototype designed to assist historians in exploring the dispersal of books from religious orders throughout Europe during the sixteenth century and beyond. The prototype is the ...
    • Explorative Study on Semantically Resonant Colors for Combinations of Categories with Application to Meteorological Data 

      Pelchmann, Laura; Bremm, Sebastian; Ebell, Kerstin; Landesberger, Tatiana von (The Eurographics Association, 2023)
      We present an exploratory study of semantically resonant colors for combinations of categories. The goal is to support color selection of multi-labeled classes of classified data. We asked participants to assign colors to ...
    • PTMVision: An Interactive Visualization Platform for Post-Translational Modifications of Proteins 

      Hackl, Simon; Jachmann, Caroline; Harbig, Theresa; Paz, Mathias Witte; Nieselt, Kay (The Eurographics Association, 2023)
      In recent years, proteins have been shown to carry many more post-translational modifications (PTMs) than originally thought. The visualization of proteins along with their PTMs facilitates exploration and understanding ...
    • The Challenge of Branch-Aware Data Manifold Exploration 

      Bot, Daniël M.; Peeters, Jannes; Aerts, Jan (The Eurographics Association, 2023)
      Branches within clusters can represent meaningful subgroups that should be explored. In general, automatically detecting branching structures within clusters requires analysing the distances between data points and a ...
    • A Conversational Data Visualisation Platform for Hierarchical Multivariate Data 

      Kavaz, Ecem; Rodríguez, Inmaculada; Puig, Anna; Vives, Eduard (The Eurographics Association, 2023)
      This paper presents a novel data visualisation platform that integrates both direct manipulation and conversational interaction styles for analysing hierarchical multivariate data. The proposed architecture is based on the ...
    • Multi-Criteria Optimization for Automatic Dashboard Design 

      Choi, Jiwon; Jo, Jaemin (The Eurographics Association, 2023)
      We present Gleaner, an automatic dashboard design system that optimizes the design in terms of four design criteria, namely Specificity, Interestingness, Diversity, and Coverage. With these criteria, Gleaner not only ...
    • Visualizing Sunlight Radiation in the Arctic Ocean 

      Sørensen, Esben Bay; Attard, Karl; Gattuso, Jean-Pierre; Kusnick, Jakob; Jänicke, Stefan (The Eurographics Association, 2023)
      The Arctic is experiencing dramatic environmental transformation due to rising temperatures and melting ice, which are affecting its environment, wildlife, and human communities. Remote sensing technologies (e.g. satellites) ...
    • Project iMuse: an Interactive Visualizer of Lyrical Sentiment 

      Lu, Anna; Anstey, Jack; Zhang, Zack; Wang, Ruohe (The Eurographics Association, 2023)
      Our interactive visualization, Project iMuse [SA22a], provides the unique ability to view the most used words in popular music over the past 50+ years in conjunction with how they were used in songs through sentiment ...
    • Supporting Medical Personnel at Analyzing Chronic Lung Diseases with Interactive Visualizations 

      Warnking, Rene P.; Scheer, Jan; Trinkmann, Frederik; Siegel, Fabian; Nagel, Till (The Eurographics Association, 2023)
      We present a visualization system for medical practitioners to analyze lung function data collected at different points in time. In particular, our approach aims to solve the problems practitioners encounter in their daily ...
    • Constructing Hierarchical Continuity in Hilbert & Moore Treemaps 

      Scheibel, Willy; Döllner, Jürgen (The Eurographics Association, 2023)
      The Hilbert and Moore treemap layout algorithms are based on the space-filling Hilbert and Moore curves, respectively, to map tree-structured datasets to a 2D treemap layout. Considering multiple snapshots of a time-variant ...