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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
