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7th MLVis@EuroVis 2024: Odense, Denmark

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Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
Machine Learning Methods in Visualisation for Big Data 2024, MLVis@EuroVis 2024, Odense, Denmark, May 27, 2024. Eurographics Association 2024, ISBN 978-3-03868-256-1

Papers

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Andri Bergsson, Søren Hauberg:
Visualizing Riemannian data with Rie-SNE.
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Seok-Hee Hong, Giuseppe Liotta, Fabrizio Montecchiani, Martin Nöllenburg, Tommaso Piselli:
Introducing Fairness in Graph Visualization via Gradient Descent.
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  - conf/mlvis-ws/SalmanianCKM24
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Parisa Salmanian, Angelos Chatzimparmpas, Ali Can Karaca, Rafael Messias Martins:
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine.
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Fernando J. Yanez, Carolina Nobre:
User-Adaptive Visualizations: An Exploration with GPT-4.
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Raphael Buchmüller, Mark-Matthias Zymla, Daniel A. Keim, Miriam Butt, Rita Sevastjanova:
Exploration of Preference Models using Visual Analytics.

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