Machine Learning Methods in Visualisation for Big Data 2019
Co-located with EuroVis 2019, Porto, Portugal
Machine Learning Methods in Visualisation will be held as part of EuroVis 2019 in Porto, Portugal. The fourth edition of this co-located event will be part-tutorial and part-workshop so as to increase the interaction between researchers.
Call for Papers
Part of the MLVis 2019 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
- Submission deadline: March 14, 2019
- Notification deadline: April 12, 2019
- Camera-ready deadline: April 24, 2019
- Workshop: June 3, 2019
All submission deadlines are at 23:59 GMT on the date indicated.
Paper submissions for MLVis should be at most 4 pages in the MLVis 2019 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/eurovis (choose society “VGTC” and conference/journal “MLVis 2019” 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 2019 workshop to present the accepted work. Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library.
Follow the MLVis website at https://uta.fi/mlvis for the latest details.
- Daniel Archambault (Swansea University, United Kingdom)
- Ian Nabney (University of Bristol, United Kingdom)
- Jaakko Peltonen (University of Tampere, Finland)
International Program Committee
- Helwig Hauser (University of Bergen, Norway)
- John A. Lee (Universite catholique de Louvain, Belgium)
- David Lowe
- Torsten Möller (University of Vienna)
- Michel Verleysen (Universite catholique de Louvain, Belgium)
- Yong Wang (HKUST)
- Kanit Wongsuphasawat (Apple)