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08/30/2023
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations
This study progresses solar flare prediction research by presenting a fu...
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08/04/2023
Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting
This paper presents a post hoc analysis of a deep learning-based full-di...
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07/29/2023
Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods
This paper contributes to the growing body of research on deep learning ...
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06/20/2022
Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics
The class-imbalance issue is intrinsic to many real-world machine learni...
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06/14/2022
Improving Solar Flare Prediction by Time Series Outlier Detection
Solar flares not only pose risks to outer space technologies and astrona...
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09/30/2021
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods
The Space-Weather ANalytics for Solar Flares (SWAN-SF) is a multivariate...
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05/30/2021
Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures
General-purpose object-detection algorithms often dismiss the fine struc...
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05/16/2021
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting
One of the limiting factors in training data-driven, rare-event predicti...
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03/12/2021
How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events
We present a case study of solar flare forecasting by means of metadata ...
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11/20/2019
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data
In analyses of rare-events, regardless of the domain of application, cla...
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06/03/2019