Human-Model Collaboration and Personalization
ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions
Elena Haedecke, Michael Mock, and Maram Akila
RankASco: A Visual Analytics Approach to Leverage Attribute-Based User Preferences for Item Rankings
Jenny Schmid, Lena Cibulski, Ibrahim Al Hazwani, and Jürgen Bernard
Interactive Visual Explanation of Incremental Data Labeling
Raphael Beckmann, Cristian Blaga, Mennatallah El-Assady, Matthias Zeppelzauer, and Jürgen Bernard
A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics
Yannick Metz, Udo Schlegel, Daniel Seebacher, Mennatallah El-Assady, and Daniel Keim
Applications
Toward Disease Diagnosis Visual Support Bridging Classic and Precision Medicine
Alessia Palleschi, Manuela Petti, Paolo Tieri, and Marco Angelini
Understanding Business Analysts' Needs for Data Report Authoring
Zhuohao Zhang, Sana Malik, Shunan Guo, Jane Hoffswell, Ryan Rossi, Fan Du, and Eunyee Koh
Voyage Viewer: Empowering Human Mobility at a Global Scale
Isabella Loaiza, Tobin South, Germán Sánchez, Serena Chan, Alice Yu, Felipe Montes, Mohsen Bahrami, and Alex Pentland
CryptoComparator: A Visual Analytics Environment for Cryptocurrencies Analysis
Pietro Manganelli Conforti, Matteo Emanuele, Pietro Nardelli, Giuseppe Santucci, and Marco Angelini
Visual Analytics Techniques
A Pipeline for Tailored Sampling for Progressive Visual Analytics
Marius Hogräfer, Jakob Burkhardt, and Hans-Jörg Schulz
Reordering Sets of Parallel Coordinates Plots to Highlight Differences in Clusters
Elliot Koh, Michael Blumenschein, Lin Shao, and Tobias Schreck
Multivariate Time Series Retrieval with Symbolic Aggregate Approximation, Regular Expression, and Query Expansion
Yuncong Yu, Tim Becker, and Michael Behrisch
CODAS: Integrating Business Analytics and Report Authoring
Zhuohao Zhang, Sana Malik, Shunan Guo, Jane Hoffswell, Ryan Rossi, Fan Du, and Eunyee Koh
Towards Understanding Edit Histories of Multivariate Graphs
Philip Berger, Heidrun Schumann, and Christian Tominski

Recent Submissions

  • 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)