Now showing items 341-360 of 2371

    • GDot-i: Interactive System for Dot Paintings of Graphs 

      Eades, Peter; Hong, Seok-Hee; McGrane, Martin; Meidiana, Amyra (The Eurographics Association, 2022)
      This poster presents GDot-i, an interactive system visualizing graphs and networks as dot paintings, inspired by the dot painting style of Central Australia. We describe the implementation of GDot-i, a web-based interactive ...
    • EuroVis 2022 Posters: Frontmatter 

      Krone, Michael; Lenti, Simone; Schmidt, Johanna (The Eurographics Association, 2022)
    • Digital Twins of Smart Farms 

      Zhao, Yuhang; Jiang, Zheyu; Pang, Shanchen; Lv, Zhihan (The Eurographics Association, 2022)
      In recent years, the development of Digital Twins has made rapid progress, and Digital Twins has gradually begun to combine various fields and applied to the current digitalization of the physical world. Digital Twins can ...
    • Scientific Convergence and Divergence in Visualization and Visual Analytics 

      He, Jiangen (The Eurographics Association, 2022)
      We present preliminary results of a visualization tool designed to visualize scientific evolution by using scientific publication data, especially convergence-divergence processes. It aims to increase the efficiency and ...
    • CODAS: Integrating Business Analytics and Report Authoring 

      Zhang, Zhuohao; Malik, Sana; Guo, Shunan; Hoffswell, Jane; Rossi, Ryan; Du, Fan; Koh, Eunyee (The Eurographics Association, 2022)
      Business analysts create rich dashboards to find data insights and subsequently communicate these findings with data-driven reports that combine visualization screenshots and descriptive text. Conventional analytics reports ...
    • Towards Understanding Edit Histories of Multivariate Graphs 

      Berger, Philip; Schumann, Heidrun; Tominski, Christian (The Eurographics Association, 2022)
      The visual analysis of multivariate graphs increasingly involves not only exploring the data, but also editing them. Existing editing approaches for multivariate graphs support visual analytics workflows by facilitating a ...
    • Reordering Sets of Parallel Coordinates Plots to Highlight Differences in Clusters 

      Koh, Elliot; Blumenschein, Michael; Shao, Lin; Schreck, Tobias (The Eurographics Association, 2022)
      Visualizing high-dimensional (HD) data is a key challenge for data scientists. The importance of this challenge is to properly map data properties, e.g., patterns, outliers, and correlations, from a HD data space onto a ...
    • Multivariate Time Series Retrieval with Symbolic Aggregate Approximation, Regular Expression, and Query Expansion 

      Yu, Yuncong; Becker, Tim; Behrisch, Michael (The Eurographics Association, 2022)
      We present SAXRegEx, a method for pattern search in multivariate time series in the presence of various distortions, such as duration variation, warping, and time delay between signals. For example, in the automotive ...
    • A Pipeline for Tailored Sampling for Progressive Visual Analytics 

      Hogräfer, Marius; Burkhardt, Jakob; Schulz, Hans-Jörg (The Eurographics Association, 2022)
      Progressive Visual Analytics enables analysts to interactively work with partial results from long-running computations early on instead of forcing them to wait. For very large datasets, the first step is to divide that ...
    • CryptoComparator: A Visual Analytics Environment for Cryptocurrencies Analysis 

      Conforti, Pietro Manganelli; Emanuele, Matteo; Nardelli, Pietro; Santucci, Giuseppe; Angelini, Marco (The Eurographics Association, 2022)
      Cryptocurrencies are a novel phenomenon in the finance world that is gaining more attention from the general public, banks, investors, and lately also academic research. A characteristic of cryptocurrencies is to be the ...
    • Understanding Business Analysts' Needs for Data Report Authoring 

      Zhang, Zhuohao; Malik, Sana; Guo, Shunan; Hoffswell, Jane; Rossi, Ryan; Du, Fan; Koh, Eunyee (The Eurographics Association, 2022)
      Business analysts often create static, data-driven reports to summarize and communicate findings from marketing dashboards. However, the requirements and workflow for creating data-driven reports in business analytics have ...
    • Voyage Viewer: Empowering Human Mobility at a Global Scale 

      Loaiza, Isabella; South, Tobin; Sánchez, Germán; Chan, Serena; Yu, Alice; Montes, Felipe; Bahrami, Mohsen; Pentland, Alex (The Eurographics Association, 2022)
      The challenge of refugee relocation is fertile ground to pose a new direction in the quest for extended human intelligence: developing systems that leverage big data, and the power of social learning to provide personalized ...
    • Toward Disease Diagnosis Visual Support Bridging Classic and Precision Medicine 

      Palleschi, Alessia; Petti, Manuela; Tieri, Paolo; Angelini, Marco (The Eurographics Association, 2022)
      The traditional approach in medicine starts with investigating patients' symptoms to make a diagnosis. While with the advent of precision medicine, a diagnosis results from several factors that interact and need to be ...
    • A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics 

      Metz, Yannick; Schlegel, Udo; Seebacher, Daniel; El-Assady, Mennatallah; Keim, Daniel (The Eurographics Association, 2022)
      Multiple challenges hinder the application of reinforcement learning algorithms in experimental and real-world use cases even with recent successes in such areas. Such challenges occur at different stages of the development ...
    • Interactive Visual Explanation of Incremental Data Labeling 

      Beckmann, Raphael; Blaga, Cristian; El-Assady, Mennatallah; Zeppelzauer, Matthias; Bernard, Jürgen (The Eurographics Association, 2022)
      We present a visual analytics approach for the in-depth analysis and explanation of incremental machine learning processes that are based on data labeling. Our approach offers multiple perspectives to explain the process, ...
    • ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions 

      Haedecke, Elena; Mock, Michael; Akila, Maram (The Eurographics Association, 2022)
      We present ScrutinAI, a Visual Analytics approach to exploit semantic understanding for deep neural network (DNN) predictions analysis, focusing on models for object detection and semantic segmentation. Typical fields of ...
    • RankASco: A Visual Analytics Approach to Leverage Attribute-Based User Preferences for Item Rankings 

      Schmid, Jenny; Cibulski, Lena; Hazwani, Ibrahim Al; Bernard, Jürgen (The Eurographics Association, 2022)
      Item rankings are useful when a decision needs to be made, especially if there are multiple attributes to be considered. However, existing tools either do not support both categorical and numerical attributes, require ...
    • EuroVa 2022: Frontmatter 

      Bernard, Jürgen; Angelini, Marco (The Eurographics Association, 2022)
    • LiDAR Operation and Digital Modeling Visualization to Communicate Stormwater Management at Green Spaces in Developing Regions 

      Lin, Chien-Yu; Ackerman, Aidan; Johnston, Douglas; Tian, Guohang; Liu, Yang (The Eurographics Association, 2022)
      This research involves the application of LiDAR modifications from China Meteorological Data Service Centre (CMDC) along with landscape digital modeling visualization tools to explore future climate change adaptation, ...
    • FloodVis: Visualization of Climate Ensemble Flood Projections in Virtual Reality 

      Oyshi, Marzan Tasnim; Maleska, Verena; Schanze, Jochen; Bormann, Franziskus; Dachselt, Raimund; Gumhold, Stefan (The Eurographics Association, 2022)
      Anthropogenic greenhouse gas emissions are leading to accelerating climate change, forcing politicians and administrations to take actions to mitigate climate change and adapt to its impacts, such as changes in flood ...