The CNN-derived catalog detects over seven times more solar flares than the GOES catalog and extends the power-law distribution of flare peak fluxes to smaller sizes.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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astro-ph.SR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A dual-branch multimodal fusion model with cross-attention achieves TSS 0.661 for binary >=C-class flare prediction and TSS 0.780 for X-class in multi-class classification using anti-leakage cross-validation on solar data.
citing papers explorer
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A Convolutional Neural Network-Derived Catalog of Solar Flares from Soft X-Ray Observations
The CNN-derived catalog detects over seven times more solar flares than the GOES catalog and extends the power-law distribution of flare peak fluxes to smaller sizes.
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The Deep Learning-Based Dual-Branch Multimodal Fusion Model for Solar Flare Prediction
A dual-branch multimodal fusion model with cross-attention achieves TSS 0.661 for binary >=C-class flare prediction and TSS 0.780 for X-class in multi-class classification using anti-leakage cross-validation on solar data.