3 papers
cs.LG2026
Prediction of Major Solar Flares Using Interpretable Class-dependent Reward Framework with Active Region Magnetograms and Domain Knowledge
Zixian Wu, Xuebao Li, Yanfang Zheng +14
In this work, we develop, for the first time, a supervised classification framework with class-dependent rewards (CDR) to predict MM flares within 24 hr. We construct multipl…
astro-ph.SR2026
Operational Solar Flare Forecasting System Using an Explainable Large Language Model
Xuebao Li, Yongshang Lv, Jinfang Wei +14
This study focuses on forecasting major (>=M-class) solar flares that can severely impact the near-Earth environment. We construct two types of datasets using the Space Weather HMI…
cs.LG2025
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
Shuai Zhao, Heyan Huang, Xinge Li +2
Neural networks have demonstrated exceptional performance in supervised learning, benefiting from abundant high-quality annotated data. However, obtaining such data in real-world s…