Now showing items 161-180 of 2371

    • VA + Embeddings STAR: A State-of-the-Art Report on the Use of Embeddings in Visual Analytics 

      Huang, Zeyang; Witschard, Daniel; Kucher, Kostiantyn; Kerren, Andreas (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Over the past years, an increasing number of publications in information visualization, especially within the field of visual analytics, have mentioned the term ''embedding'' when describing the computational approach. ...
    • State-of-the-Art Report on Optimizing Particle Advection Performance 

      Yenpure, Abhishek; Sane, Sudhanshu; Binyahib, Roba; Pugmire, David; Garth, Christoph; Childs, Hank (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      The computational work to perform particle advection-based flow visualization techniques varies based on many factors, including number of particles, duration, and mesh type. In many cases, the total work is significant, ...
    • The State of the Art in Visualizing Dynamic Multivariate Networks 

      Kale, Bharat; Sun, Maoyuan; Papka, Michael E. (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Most real-world networks are both dynamic and multivariate in nature, meaning that the network is associated with various attributes and both the network structure and attributes evolve over time. Visualizing dynamic ...
    • State-of-the-art in Large-Scale Volume Visualization Beyond Structured Data 

      Sarton, Jonathan; Zellmann, Stefan; Demirci, Serkan; Güdükbay, Ugur; Alexandre-Barff, Welcome; Lucas, Laurent; Dischler, Jean-Michel; Wesner, Stefan; Wald, Ingo (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Volume data these days is usually massive in terms of its topology, multiple fields, or temporal component. With the gap between compute and memory performance widening, the memory subsystem becomes the primary bottleneck ...
    • The State of the Art in Creating Visualization Corpora for Automated Chart Analysis 

      Chen, Chen; Liu, Zhicheng (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      We present a state-of-the-art report on visualization corpora in automated chart analysis research. We survey 56 papers that created or used a visualization corpus as the input of their research techniques or systems. Based ...
    • EuroVis 2023 CGF 42-3 STARs: Frontmatter 

      Bruckner, Stefan; Raidou, Renata G.; Turkay, Cagatay (The Eurographics Association and John Wiley & Sons Ltd., 2023)
    • The Future of Interactive Data Analysis and Visualization 

      Bernard, Jürgen; El-Assady, Mennatallah (The Eurographics Association, 2023)
      The interactive data analysis and visualization (VIS) community has prospered for over thirty years. Generation after generation, the community has evolved its understanding of research problems and, along the way, contributed ...
    • Why am I reading this? Explaining Personalized News Recommender Systems 

      Arnórsson, Sverrir; Abeillon, Florian; Al-Hazwani, Ibrahim; Bernard, Jürgen; Hauptmann, Hanna; El-Assady, Mennatallah (The Eurographics Association, 2023)
      Social media and online platforms significantly impact what millions of people get exposed to daily, mainly through recommended content. Hence, recommendation processes have to benefit individuals and society. With this ...
    • KidCAD: An Interactive Cohort Analysis Dashboard of Patients with Chronic Kidney Diseases 

      Höhn, Markus; Schwindt, Sarah; Hahn, Sara; Patyna, Sammy; Büttner, Stefan; Kohlhammer, Jörn (The Eurographics Association, 2023)
      Chronic Kidney Diseases (CKD) are a prominent health problem. With an ongoing process, CKD leads to impaired kindey function with decreased ability to filter the patients' blood, concluding in multiple complications, like ...
    • Scaling Up the Explanation of Multidimensional Projections 

      Thijssen, Julian; Tian, Zonglin; Telea, Alexandru (The Eurographics Association, 2023)
      We present a set of interactive visual analysis techniques aiming at explaining data patterns in multidimensional projections. Our novel techniques include a global value-based encoding that highlights point groups having ...
    • A Visual Analytics Framework for Renewable Energy Profiling and Resource Planning 

      Pammi, Ramakrishna P.; Afzal, Shehzad; Dasari, Hari Prasad; Yousaf, Muhammad; Ghani, Sohaib; Venkatraman, Murali Sankar; Hoteit, Ibrahim (The Eurographics Association, 2023)
      Renewable energy growth is one of the focus areas globally against the backdrop of the global energy crisis and climate change. Energy planners are looking into clean, safe, affordable, and reliable energy generation sources ...
    • A Practical Approach to Provenance Capturing for Reproducible Visual Analytics at an Ocean Research Institute 

      Bernstetter, Armin; Kwasnitschka, Tom; Peters, Isabella (The Eurographics Association, 2023)
      Reproducibility - and the lack thereof - has been an important topic for some time in the field of Human-Computer Interaction. Visual analytics workflows and in extension immersive analytics workflows are no exception there ...
    • Multi-Ensemble Visual Analytics via Fuzzy Sets 

      Piccolotto, Nikolaus; Bögl, Markus; Miksch, Silvia (The Eurographics Association, 2023)
      Analysis of ensemble datasets, i.e., collections of complex elements such as geochemical maps, is widespread in science and industry. The elements' complexity arises from the data they capture, which are often multivariate ...
    • A Methodology for Task-Driven Guidance Design 

      Pérez-Messina, Ignacio; Ceneda, Davide; Miksch, Silvia (The Eurographics Association, 2023)
      Mixed-initiative Visual Analytics (VA) systems are becoming increasingly important; however, the design of such systems still needs to be formulated. We present a methodology to aid and structure the design of guidance for ...
    • Nonparametric Dimensionality Reduction Quality Assessment based on Sortedness of Unrestricted Neighborhood 

      Pereira-Santos, Davi; Neves, Tácito Trindade Araújo Tiburtino; Carvalho, André C. P. L. F. de; Paulovich, Fernando V. (The Eurographics Association, 2023)
      High-dimensional data are known to be challenging to explore visually. Dimensionality Reduction (DR) techniques are good options for making high-dimensional data sets more interpretable and computationally tractable. An ...
    • Extracting Movement-based Topics for Analysis of Space Use 

      Andrienko, Gennady; Andrienko, Natalia; Hecker, Dirk (The Eurographics Association, 2023)
      We present a novel approach to analyze spatio-temporal movement patterns using topic modeling. Our approach represents trajectories as sequences of place visits and moves, applies topic modeling separately to each collection ...
    • ChatKG: Visualizing Temporal Patterns as Knowledge Graph 

      Christino, Leonardo; Paulovich, Fernando V. (The Eurographics Association, 2023)
      Line-chart visualizations of temporal data enable users to identify interesting patterns for the user to inquire about. Using oracles, such as chat AIs, Visual Analytic tools can automatically uncover explicit knowledge ...
    • Human-Based and Automatic Feature Ideation for Time Series Data: A Comparative Study 

      Schmidt, Johanna; Piringer, Harald; Mühlbacher, Thomas; Bernard, Jürgen (The Eurographics Association, 2023)
      Feature ideation is a crucial early step in the feature extraction process, where new features are extracted from raw data. For phenomena existing in time series data, this often includes the ideation of statistical ...
    • ShaRP: Shape-Regularized Multidimensional Projections 

      Machado, Alister; Telea, Alexandru; Behrisch, Michael (The Eurographics Association, 2023)
      Projections, or dimensionality reduction methods, are techniques of choice for the visual exploration of high-dimensional data. Many such techniques exist, each one of them having a distinct visual signature - i.e., a ...
    • EuroVa 2023: Frontmatter 

      Angelini, Marco; El-Assady, Mennatallah (The Eurographics Association, 2023)