activity
20112025
most citedHow to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events

75 citations · 188 across the 27 of their papers we have counts for

collaborators
Showing astro-ph.SRShow all

11 papers · 1 filter

astro-ph.SR2025

Operational and Exploration Requirements and Research Capabilities for SEP Environment Monitoring and Forecasting

Viacheslav Sadykov, Petrus Martens, Dustin Kempton +15

Mitigating risks posed by solar energetic particles (SEPs) to operations and exploration in space and Earth's atmosphere motivates the development of advanced, synergistic approach…

astro-ph.SR2023

Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions

Chetraj Pandey, Rafal A. Angryk, Berkay Aydin

This study aims to evaluate the performance of deep learning models in predicting M-class solar flares with a prediction window of 24 hours, using hourly sampled full-disk li…

astro-ph.SR2023

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…

astro-ph.SR2021

Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods

Atharv Yeoleka, Sagar Patel, Shreejaa Talla +4

The Space-Weather ANalytics for Solar Flares (SWAN-SF) is a multivariate time series benchmark dataset recently created to serve the heliophysics community as a testbed for solar f…

astro-ph.SR2021★ 75 cited

How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events

Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis +3

We present a case study of solar flare forecasting by means of metadata feature time series, by treating it as a prominent class-imbalance and temporally coherent problem. Taking f…

astro-ph.SR2020★ 9 cited

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations

Gelu Nita, Manolis Georgoulis, Irina Kitiashvili +38

The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicis…