Best Paper Award
ShaRP: Shape-Regularized Multidimensional Projections
Alister Machado, Alexandru Telea, and Michael Behrisch
Patterns and Multidimensional Projections
Human-Based and Automatic Feature Ideation for Time Series Data: A Comparative Study
Johanna Schmidt, Harald Piringer, Thomas Mühlbacher, and Jürgen Bernard
ChatKG: Visualizing Temporal Patterns as Knowledge Graph
Leonardo Christino and Fernando V. Paulovich
Extracting Movement-based Topics for Analysis of Space Use
Gennady Andrienko, Natalia Andrienko, and Dirk Hecker
Multi-Ensemble Visual Analytics via Fuzzy Sets
Nikolaus Piccolotto, Markus Bögl, and Silvia Miksch
Nonparametric Dimensionality Reduction Quality Assessment based on Sortedness of Unrestricted Neighborhood
Davi Pereira-Santos, Tácito Trindade de Araújo Tiburtino Neves, André C. P. L. F. de Carvalho, and Fernando V. Paulovich
Honorable Mention
A Methodology for Task-Driven Guidance Design
Ignacio Pérez-Messina, Davide Ceneda, and Silvia Miksch
Decision-making and Explanation
A Practical Approach to Provenance Capturing for Reproducible Visual Analytics at an Ocean Research Institute
Armin Bernstetter, Tom Kwasnitschka, and Isabella Peters
A Visual Analytics Framework for Renewable Energy Profiling and Resource Planning
Ramakrishna P. Pammi, Shehzad Afzal, Hari Prasad Dasari, Muhammad Yousaf, Sohaib Ghani, Murali Sankar Venkatraman, and Ibrahim Hoteit
KidCAD: An Interactive Cohort Analysis Dashboard of Patients with Chronic Kidney Diseases
Markus Höhn, Sarah Schwindt, Sara Hahn, Sammy Patyna, Stefan Büttner, and Jörn Kohlhammer
Scaling Up the Explanation of Multidimensional Projections
Julian Thijssen, Zonglin Tian, and Alexandru Telea
Why am I reading this? Explaining Personalized News Recommender Systems
Sverrir Arnórsson, Florian Abeillon, Ibrahim Al-Hazwani, Jürgen Bernard, Hanna Hauptmann, and Mennatallah El-Assady

Recent Submissions

  • 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)