Odense town hall and cathedral
MLVis 2024: Machine Learning Methods in Visualisation for Big Data 2024, Co-located with EuroVis 2024, Odense, Denmark

MLVis 2024

Machine Learning Methods in Visualisation for Big Data 2024

27 May 2024, Co-located with EuroVis 2024, Odense, Denmark

Machine Learning Methods in Visualisation for Big Data will be held as part of EuroVis 2024 in Odense, Denmark. The ninth edition of this co-located event will be part-tutorial and part-workshop so as to increase the interaction between researchers.

Part of the MLVis 2024 programme will consist of short papers.

We solicit short papers on machine learning methods in visualisation from both the machine learning and visualisation communities, addressing how the two technologies can be used together to provide greater insight to end users.

Topics include but are not limited to: Explainable Machine Learning, Dimensionality Reduction, Visualisation of Clustering, Regression, and Classification, Steerable Machine Learning, Visualisation to Improve Machine Learning Models, Automation of Visualisation and Visual Analytics, Visualisation and Machine Learning in Text Analytics, Visualisation in Online Machine Learning

Important Dates

  • Submission deadline: April 3, 2024
  • Notification deadline: April 15, 2024
  • Camera-ready deadline: April 22, 2024
  • Workshop date: May 27, 2024

All submission deadlines are at 23:59 Anywhere on Earth on the date indicated.

Submission Guidelines

Paper submissions for MLVis should be at most 4 pages in the MLVis 2024 LaTeX style, with an additional page allowed for references. All submissions must be original works that have not been published previously in any conference proceedings, magazine, journal, or edited book. Papers are to be submitted via the new PCS at: https://new.precisionconference.com/ (when making your submission, choose society “Eurographics”, conference/journal “EuroVis 2024” and track “EuroVis 2024 MLVis”, then click “Go”). The submissions do not need to be blind.


At least one author of an accepted paper must register and participate in the MLVis 2024 workshop to present the accepted work.

Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library.


14:20-16:00: Session 1, room 096. See the teaser.

  • Opening (Daniel Archambault, Ian Nabney, and Jaakko Peltonen)
  • Keynote by Ira Assent, Aarhus University: Scaling data analytics to Big Data to enable interactive analysis
  • Contributed paper talk: DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine (Parisa Salmanian, Angelos Chatzimparmpas, Ali Can Karaca, and Rafael M. Martins). Presenter: Rafael M. Martins
  • Contributed paper talk: Visualizing Riemannian data with Rie-SNE (Andri Bergsson and Søren Hauberg). Presenter: Søren Hauberg

16:00-16:30: Coffee

16:30-18:10: Session 2, room 096. See the teaser.

  • Tutorial: Advances in MLVis (Ian Nabney and Jaakko Peltonen)
  • Contributed paper talk: User-Adaptive Visualizations: An Exploration with GPT-4 (Fernando J. Yanez and Carolina Nobre). Presenter: Fernando J. Yanez
  • Contributed paper talk: Exploration of Preference Models using Visual Analytics (Raphael Buchmüller, Mark-Matthias Zymla, Daniel Keim, Miriam Butt, and Rita Sevastjanova). Presenter: Raphael Buchmüller
  • Contributed paper talk: Introducing Fairness in Graph Visualization via Gradient Descent (Fabrizio Montecchiani, Giuseppe Liotta, Martin Nöllenburg, Seok-Hee Hong, and Tommaso Piselli). Presenter: Fabrizio Montecchiani
  • Panel Discussion (Daniel Archambault, Ian Nabney, Jaakko Peltonen, and all presenters)
  • Closing (Daniel Archambault, Ian Nabney, and Jaakko Peltonen)

Organising Committee

International Program Committee

  • Rita Borgo (King’s College London, UK)
  • Alma Cantu (Newcastle University, UK)
  • Barbara Hammer (Bielefeld University, Germany)
  • John A. Lee (Université catholique de Louvain, Belgium)
  • Yong Wang (Singapore Management University, Singapore)

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