Now showing items 1-7 of 7

    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...