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Found 4 papers, 1 papers with code
Compression of Solar Spectroscopic Observations: a Case Study of Mg II k Spectral Line Profiles Observed by NASA's IRIS Satellite
The train subset was used to train the autoencoder of the varying embedding layer size.
Solar and Stellar Astrophysics Instrumentation and Methods for Astrophysics
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations
The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicists, data providers, expert modelers, and computer/data scientists.
Machine-learning approach to identification of coronal holes in solar disk images and synoptic maps
Identification of solar coronal holes (CHs) provides information both for operational space weather forecasting and long-term investigation of solar activity.
Solar and Stellar Astrophysics
Not quite unreasonable effectiveness of machine learning algorithms
State-of-the-art machine learning algorithms demonstrate close to absolute performance in selected challenges.
