31 citations · 61 across the 15 of their papers we have counts for
4 papers · 1 filter
Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis
Temitope Adeyeha, Chetraj Pandey, Berkay Aydin
Accurate and reliable predictions of solar flares are essential due to their potentially significant impact on Earth and space-based infrastructure. Although deep learning models h…
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF
Anli Ji, Chetraj Pandey, Berkay Aydin
Traditional solar flare forecasting approaches have mostly relied on physics-based or data-driven models using solar magnetograms, treating flare predictions as a point-in-time cla…
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting
Chetraj Pandey, Anli Ji, Jinsu Hong +2
In this paper, we propose a novel loss function aimed at optimizing the binary flare prediction problem by embedding the intrinsic ordinal flare characteristics into the binary cro…
Advancing Solar Flare Prediction using Deep Learning with Active Region Patches
Chetraj Pandey, Temitope Adeyeha, Jinsu Hong +2
In this paper, we introduce a novel methodology for leveraging shape-based characteristics of magnetograms of active region (AR) patches and provide a novel capability for predicti…