Optimal homogeneous extreme-event predictors under regular variation are given by quantiles of a tilted angular measure and admit universally consistent peaks-over-threshold estimators.
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4 Pith papers cite this work, alongside 375 external citations. Polarity classification is still indexing.
4
Pith papers citing it
375
external citations · OpenAlex
years
2026 4representative citing papers
SIREN is a ~100k-parameter Transformer that detects SIRs with ROC-AUC 0.93 on held-out data and attributes 24% importance to proton density and 13-17% to transverse velocity, identifying flow deflection as a consistent signature.
Spectral flattening in active-region radio emission at 18-26 GHz signals an 89% probability of a strong solar flare within 30 hours, with only 12% of such flares missed despite weekly observations.
Hybrid neural network predicts eruptive versus confined solar flares from SDO/HMI magnetogram sequences, reports good performance, and links results to magnetic flux cancellation in polarity inversion lines.
citing papers explorer
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On the optimal prediction of extreme events
Optimal homogeneous extreme-event predictors under regular variation are given by quantiles of a tilted angular measure and admit universally consistent peaks-over-threshold estimators.
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Finding Novel Precursors for Solar Wind Stream Interaction Regions with Interpretable Deep Learning
SIREN is a ~100k-parameter Transformer that detects SIRs with ROC-AUC 0.93 on held-out data and attributes 24% importance to proton density and 13-17% to transverse velocity, identifying flow deflection as a consistent signature.
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Correlation between active regions' spectra at high radio frequencies and solar flare occurrences
Spectral flattening in active-region radio emission at 18-26 GHz signals an 89% probability of a strong solar flare within 30 hours, with only 12% of such flares missed despite weekly observations.
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Predicting Associations between Solar Flares and Coronal Mass Ejections Using SDO/HMI Magnetograms and a Hybrid Neural Network
Hybrid neural network predicts eruptive versus confined solar flares from SDO/HMI magnetogram sequences, reports good performance, and links results to magnetic flux cancellation in polarity inversion lines.