31 citations · 31 across the 1 of their papers we have counts for
6 papers
FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-encoder
Yang Chen, Dustin J. Kempton, Rafal A. Angryk
The success of deep learning-based generative models in producing realistic images, videos, and audios has led to a crucial consideration: how to effectively assess the quality of…
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…
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations
Chetraj Pandey, Anli Ji, Trisha Nandakumar +2
This study progresses solar flare prediction research by presenting a full-disk deep-learning model to forecast M-class solar flares and evaluating its efficacy on both centr…
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…
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…
Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting
Chetraj Pandey, Anli Ji, Rafal A. Angryk +2
Solar flare prediction is a central problem in space weather forecasting and has captivated the attention of a wide spectrum of researchers due to recent advances in both remote se…