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Found 2 papers, 1 papers with code
Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning
Prediction of the Solar Energetic Particle (SEP) events garner increasing interest as space missions extend beyond Earth's protective magnetosphere.
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods
We incorporated 24 Feature Subset Selection (FSS) algorithms, including multivariate and univariate, supervised and unsupervised, wrappers and filters.
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