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Cited article:

A Strong-flare Prediction Model Developed Using a Machine-learning Algorithm Based on the Video Data Sets of the Solar Magnetic Field of Active Regions

Jingjing Wang, Bingxian Luo, Siqing Liu and Yue Zhang
The Astrophysical Journal Supplement Series 269 (2) 54 (2023)
https://doi.org/10.3847/1538-4365/ad036d

Properties of Flare-imminent versus Flare-quiet Active Regions from the Chromosphere through the Corona. II. Nonparametric Discriminant Analysis Results from the NWRA Classification Infrastructure (NCI)

K. D. Leka, Karin Dissauer, Graham Barnes and Eric L. Wagner
The Astrophysical Journal 942 (2) 84 (2023)
https://doi.org/10.3847/1538-4357/ac9c04

Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data

Zeyu Sun, Monica G. Bobra, Xiantong Wang, Yu Wang, Hu Sun, Tamas Gombosi, Yang Chen and Alfred Hero
The Astrophysical Journal 931 (2) 163 (2022)
https://doi.org/10.3847/1538-4357/ac64a6

RMSE is not enough: Guidelines to robust data-model comparisons for magnetospheric physics

Michael W. Liemohn, Alexander D. Shane, Abigail R. Azari, et al.
Journal of Atmospheric and Solar-Terrestrial Physics 218 105624 (2021)
https://doi.org/10.1016/j.jastp.2021.105624

Reliable Probability Forecast of Solar Flares: Deep Flare Net-Reliable (DeFN-R)

Naoto Nishizuka, Yuki Kubo, Komei Sugiura, Mitsue Den and Mamoru Ishii
The Astrophysical Journal 899 (2) 150 (2020)
https://doi.org/10.3847/1538-4357/aba2f2