Machine Learning Interpretability Tool

There are lots of great people doing work in this pace right now. And thereare also more people whose background is actually, ah, i don't know, a cognity science and an unvisual perception,. That's a great train. Another great treand that has been going on for a while, is is visalization for much learning. Again, we don't really have time to mention much, but i just want to go over a couple of papers.

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We have Tamara Munzner from the University of British Columbia, Vancouver, and Robert Kosara from Tableau Research on the show to go through some of our personal highlights from the IEEE Visualization Conference 2019. We talk about some of the co-located events, some of the technical papers and major trends observed this year. Make sure to take a look at the links below, there is a lot of material! And especially the videos. There are quite a few that have been posted online this year.

Enjoy the show!

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LINKS:

Main IEEE VIS conference website

Events:
Infovis X Vision science
Mentioned speakers: Timothy Brady, Darko Odic, Jeremy Wolfe

Visualization for Communication workshop: VisComm

BioVis@Vis workshop
Mentioned speakers: Martin Karpefors, Sean Hanlon, Erin Pleasance

Visualization in Data Science
Mentioned speakers: Been Kim, Google Brain, Andrew Gelman, Jenny Bryan

Technical Papers – The Test of Time

Jark J. van Wijk et al.: Cluster and Calendar based Visualization of Time Series Data

Tamara Munzner: A Nested Model for Visualization Design and Validation

Reflections and provocations

Miriah Meyer, Jason Dykes: Criteria for Rigor in Visualization Design Study
Paper / Video

Arvind Satyanarayan et al.: Critical Reflections on Visualization Authoring Systems