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14th EuroVA@EuroVis 2023: Leipzig, Germany
- Marco Angelini, Mennatallah El-Assady:
143th International EuroVis Workshop on Visual Analytics, EuroVA@EuroVis 2023, Leipzig, Germany, June 12, 2023. Eurographics Association 2023, ISBN 978-3-03868-222-6 - EuroVa 2023: Frontmatter. i-vii
Best Paper Award
- Alister Machado, Alexandru C. Telea, Michael Behrisch:
ShaRP: Shape-Regularized Multidimensional Projections. 1-6
Patterns and Multidimensional Projections
- Johanna Schmidt, Harald Piringer, Thomas Mühlbacher, Jürgen Bernard:
Human-Based and Automatic Feature Ideation for Time Series Data: A Comparative Study. 7-12 - Leonardo Christino, Fernando V. Paulovich:
ChatKG: Visualizing Temporal Patterns as Knowledge Graph. 13-18 - Gennady L. Andrienko, Natalia V. Andrienko, Dirk Hecker:
Extracting Movement-based Topics for Analysis of Space Use. 19-24 - Nikolaus Piccolotto, Markus Bögl, Silvia Miksch:
Multi-Ensemble Visual Analytics via Fuzzy Sets. 25-30 - Davi Pereira-Santos, Tácito Trindade de Araújo Tiburtino Neves, André C. P. L. F. de Carvalho, Fernando V. Paulovich:
Nonparametric Dimensionality Reduction Quality Assessment based on Sortedness of Unrestricted Neighborhood. 31-36
Honorable Mention
- Ignacio Pérez-Messina, Davide Ceneda, Silvia Miksch:
A Methodology for Task-Driven Guidance Design. 37-42
Decision-making and Explanation
- Armin Bernstetter, Tom Kwasnitschka, Isabella Peters:
A Practical Approach to Provenance Capturing for Reproducible Visual Analytics at an Ocean Research Institute. 43-48 - Ramakrishna P. Pammi, Shehzad Afzal, Hari Prasad Dasari, Muhammad Yousaf, Sohaib Ghani, Murali Sankar Venkatraman, Ibrahim Hoteit:
A Visual Analytics Framework for Renewable Energy Profiling and Resource Planning. 49-54 - Markus Höhn, Sarah Schwindt, Sara Hahn, Sammy Patyna, Stefan Büttner, Jörn Kohlhammer:
KidCAD: An Interactive Cohort Analysis Dashboard of Patients with Chronic Kidney Diseases. 55-60 - Julian Thijssen, Zonglin Tian, Alexandru C. Telea:
Scaling Up the Explanation of Multidimensional Projections. 61-66 - Sverrir Arnórsson, Florian Abeillon, Ibrahim Al Hazwani, Jürgen Bernard, Hanna Hauptmann, Mennatallah El-Assady:
Why am I reading this? Explaining Personalized News Recommender Systems. 67-72
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