75 citations · 188 across the 27 of their papers we have counts for
10 papers · 1 filter
Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction
Junzhi Wen, Rafal A. Angryk
Time series data plays a crucial role across various domains, making it valuable for decision-making and predictive modeling. Machine learning (ML) and deep learning (DL) have show…
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…
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…
Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics
Azim Ahmadzadeh, Rafal A. Angryk
The class-imbalance issue is intrinsic to many real-world machine learning tasks, particularly to the rare-event classification problems. Although the impact and treatment of imbal…