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cs.LG2024
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
In heliophysics research, predicting solar flares is crucial due to their potential to impact both space-based systems and Earth's infrastructure substantially. Magnetic field data…
astro-ph.SR2024★ 3 cited
Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data
Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
Major solar flares are abrupt surges in the Sun's magnetic flux, presenting significant risks to technological infrastructure. In view of this, effectively predicting major flares…