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MLVis 2020, International Workshop on Machine Learning in Visualisation for Big Data 2020
Co-located with EGEV2020 - Eurographics & Eurovis 2020, May 25, 2020, Norrköping, Sweden

Machine Learning Methods in Visualisation will be held as part of EGEV2020 - Eurographics & EuroVis 2020. The fifth edition of this co-located event will be part-tutorial and part-workshop so as to increase the interaction between researchers.

Update (March 23, additional clarification March 27): Due to the coronavirus situation, EGEV2020 and the MLVis 2020 workshop will be arranged online (possibly using Zoom). Due to the disruption, we have extended the submission, notification, and camera-ready deadlines, see the new deadlines below.

Preliminary Call for Papers

Part of the MLVis 2020 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, 2020 (extended deadline)
  • Notification deadline: April 24, 2020 (extended deadline)
  • Camera-ready deadline: May 1, 2020 (extended deadline)
  • Workshop: May 25, 2020

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 2020 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: (choose society “VGTC” and conference/journal “MLVis 2020” when making your submission). The submissions do not need to be blind.


At least one author of an accepted paper must register and participate in the MLVis 2020 workshop to present the accepted work. Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library.

Selected papers may be invited to special issues, either in the Information Visualization journal or ACM Transactions on Interactive Intelligent Systems.


The workshop will be broadcast on YouTube Live, and comments can be made either in the YouTube Live chat or in a Discord channel.

We encourage particants to use Discord for more lengthy discussions. Here is the link to the MLVis 2020 discord channel.

Please also see the EGEV 2020 programme page.


Part 1 (13:30-15:00): link to YouTube livestream, link to Discord channel
  • 13:30 - 13:35 Opening, live component
    PDF slides
  • Tutorial Component
    • 13:35 - 13:50 Ian Nabney, live tutorial component: ML and visualisation in COVID-19 research
      PDF slides
    • 13:50 - 14:05 Jaakko Peltonen, live tutorial component: Exploration of text data: Topic modeling, information retrieval, and their visualizations
      PDF slides
    • 14:05 - 14:20 Daniel Archambault, live tutorial component: The Influence of Data Science and AI on Visualisation Perception
      PDF slides
  • Paper Presentations (video + questions done live)
    • 14:20 - 14:35 Progressive Multidimensional Projections: A Process Model based on Vector Quantization
      Elio Ventocilla, Rafael M. Martins, Fernando Paulovich, Maria Riveiro
      PDF slides
    • Questions 14:35-14:40
    • 14:40 - 14:55 ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods
      Udo Schlegel, Eren Cakmak, Daniel Keim
      PDF slides
    • Questions 14:55-15:00
  • 15:00 - 15:30 Break
Part 2 (15:30-17:00): link to YouTube livestream, link to Discord channel
  • Paper Presentations (video + questions done live)
    • 15:30 - 15:45 Visual Analysis of the Impact of Neural Network Hyper-Parameters
      Daniel Jönsson, Gabriel Eilertsen, Hezi Shi, Jianmen Zheng, Anders Ynnerman, and Jonas Unger
      PDF slides
    • Questions 3:45-3:50
    • 15:50 - 16:05 Improving the Sensitivity of Statistical Testing for Clusterability with Mirrored-Density Plots
      Michael C. Thrun
      PDF slides
    • Questions 16:05-16:10
    • 16:10 - 16:25 Visual Interpretation of DNN-based Acoustic Models using Deep Autoencoders
      Tamás Grósz and Mikko Kurimo
      PDF slides
    • Questions 16:25-16:30
  • 16:30 - 17:00 Group panel discussion based on all papers (done live).
All times are Swedish local time (UTC+2).

Organising Committee

picture of Daniel Archambault Daniel Archambault
(Swansea University, United Kingdom)
picture of Ian Nabney Ian Nabney
(University of Bristol, United Kingdom)
picture of Jaakko Peltonen Jaakko Peltonen
(Tampere University, Finland)

International Program Committee

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