31 citations · 59 across the 11 of their papers we have counts for
11 papers
Physics-Guided Counterfactual Explanations for Large-Scale Multivariate Time Series: Application in Scalable and Interpretable SEP Event Prediction
Pranjal Patil, Anli Ji, Berkay Aydin
Accurate prediction of solar energetic particle events is vital for safeguarding satellites, astronauts, and space-based infrastructure. Modern space weather monitoring generates m…
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…
Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction
Chetraj Pandey, Jinsu Hong, Anli Ji +2
The prediction of solar flares is typically formulated as a binary classification task, distinguishing events as either Flare (FL) or No-Flare (NF) according to a specified thresho…
A Multimodal Tiered Magnetic Polarity Inversion Features Dataset for Space Weather Forecasting
Ziba Khani, Anli Ji, Manolis K. Georgoulis +1
This article presents a publicly available, multimodal, tiered magnetic polarity inversion lines (MPILs) dataset extracted from the Solar Dynamics Observatory's (SDO) Helioseismic…
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…
Active Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers
Anli Ji, Berkay Aydin
Over the past few decades, many applications of physics-based simulations and data-driven techniques (including machine learning and deep learning) have emerged to analyze and pred…
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…
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…
All-Clear Flare Prediction Using Interval-based Time Series Classifiers
Anli Ji, Berkay Aydin, Manolis K. Georgoulis +1
An all-clear flare prediction is a type of solar flare forecasting that puts more emphasis on predicting non-flaring instances (often relatively small flares and flare quiet region…