activity
20222026
most citedTowards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting

31 citations · 61 across the 15 of their papers we have counts for

collaborators
Showing cs.LGShow all

6 papers · 1 filter

cs.LG2025

Enhancing Explainability in Solar Energetic Particle Event Prediction: A Global Feature Mapping Approach

Anli Ji, Pranjal Patil, Chetraj Pandey +2

Solar energetic particle (SEP) events, as one of the most prominent manifestations of solar activity, can generate severe hazardous radiation when accelerated by solar flares or sh…

cs.LG2024

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…

cs.LG2024

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…

cs.LG2023

Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks

Chetraj Pandey, Anli Ji, Rafal A. Angryk +1

Solar flare prediction is a central problem in space weather forecasting and recent developments in machine learning and deep learning accelerated the adoption of complex models fo…

cs.LG2023★ 12 cited

Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting

Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis +1

This paper presents a post hoc analysis of a deep learning-based full-disk solar flare prediction model. We used hourly full-disk line-of-sight magnetogram images and selected bina…

cs.LG2023★ 18 cited

Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods

Chetraj Pandey, Rafal A. Angryk, Berkay Aydin

This paper contributes to the growing body of research on deep learning methods for solar flare prediction, primarily focusing on highly overlooked near-limb flares and utilizing t…