117 citations · 196 across the 5 of their papers we have counts for
5 papers
Minimum-Risk Recalibration of Classifiers
Zeyu Sun, Dogyoon Song, Alfred Hero
Recalibrating probabilistic classifiers is vital for enhancing the reliability and accuracy of predictive models. Despite the development of numerous recalibration algorithms, ther…
Incorporating Polar Field Data for Improved Solar Flare Prediction
Mehmet Aktukmak, Zeyu Sun, Monica Bobra +4
In this paper, we consider incorporating data associated with the sun's north and south polar field strengths to improve solar flare prediction performance using machine learning m…
Kronecker-structured Covariance Models for Multiway Data
Yu Wang, Zeyu Sun, Dogyoon Song +1
Many applications produce multiway data of exceedingly high dimension. Modeling such multi-way data is important in multichannel signal and video processing where sensors produce m…
Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data
Zeyu Sun, Monica G. Bobra, Xiantong Wang +5
We consider the flare prediction problem that distinguishes flare-imminent active regions that produce an M- or X-class flare in the future 24 hours, from quiet active regions that…
Identifying Solar Flare Precursors Using Time Series of SDO/HMI Images and SHARP Parameters
Yang Chen, Ward B. Manchester, Alfred O. Hero +7
We present several methods towards construction of precursors, which show great promise towards early predictions, of solar flare events in this paper. A data pre-processing pipeli…