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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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)
  • Towards the Detection and Visual Analysis of COVID-19 Infection Clusters 

    Antweiler, Dario; Sessler, David; Ginzel, Sebastian; Kohlhammer, Jörn (The Eurographics Association, 2021)
    A major challenge for departments of public health (DPHs) in dealing with the ongoing COVID-19 pandemic is tracing contacts in exponentially growing SARS-CoV2 infection clusters. Prevention of further disease spread requires ...
  • Multi-resolution Analysis for Vector Plots of Time Series Data 

    Nguyen, Bao; Hewett, Rattikorn; Dang, Tommy (The Eurographics Association, 2021)
    Vector plots can directly visualize both temporal variation and spatial distribution, so it is interesting to use this type of plot for displaying multivariate time series. However, vector plots cannot reveal global temporal ...
  • LFPeers: Temporal Similarity Search in Covid-19 Data 

    Burmeister, Jan; Bernard, Jürgen; Kohlhammer, Jörn (The Eurographics Association, 2021)
    While there is a wide variety of visualizations and dashboards to help understand the data of the Covid-19 pandemic, hardly any of these support important analytical tasks, especially of temporal attributes. In this paper, ...
  • Rumble Flow++ Interactive Visual Analysis of Dota2 Encounters 

    Weixelbaum, Wilma; Matkovic, Kresimir (The Eurographics Association, 2021)
    In the last decade, the popularity of ESports has grown rapidly. The financial leader in the tournament scene is Dota2, a complex and strategic multiplayer game. Analysis and exploration of game data could lead to better ...
  • A Taxonomy of Attribute Scoring Functions 

    Schmid, Jenny; Bernard, Jürgen (The Eurographics Association, 2021)
    Shifting the analysis from items to the granularity of attributes is a promising approach to address complex decision-making problems. In this work, we study attribute scoring functions (ASFs), which transform values from ...
  • Customizable Coordination of Independent Visual Analytics Tools 

    Nonnemann, Lars; Hogräfer, Marius; Schumann, Heidrun; Urban, Bodo; Schulz, Hans-Jörg (The Eurographics Association, 2021)
    While it is common to use multiple independent analysis tools in combination, it is still cumbersome to carry out a cross-tool visual analysis. Some dedicated frameworks addressing this issue exist, yet in order to use ...

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