Wiki page for the ML-Helio community. Resources, datasets, links, open problems, discussions, etc. will be described here
Congratulations to the three early-career award recipients:
-
Abigail Azari (University of Michigan)
Multivariate Supervised Classification for Instabilities at Saturn: A Comparison of Methods for Automated Event Detection in Magnetospheres -
Yeimy Rivera (University of Michigan)
Investigating a prominence eruption using a non equilibrium ionization code constrained to heliospheric measurements of composition -
Robert Jarolim (Karl-Franzens-Universität Graz)
Multi-Channel Coronal Hole Detection with a Convolutional Neural Network
Here is the Google Doc with notes from the open discussion from 12:20 to 13:30 on Friday, September 20.
Here are the slides from the second tutorial on machine learning, which covered these topics:
- Resources for machine learning in heliophysics and astrophysics
- Open source software for machine learning, parallel computing, and heliophysics, and
- Best practices for scientific reproducibility (how to publish research code and how to publish open source software).