10 citations · 20 across the 10 of their papers we have counts for
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Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis
Temitope Adeyeha, Chetraj Pandey, Berkay Aydin
Accurate and reliable predictions of solar flares are essential due to their potentially significant impact on Earth and space-based infrastructure. Although deep learning models h…
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…
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…
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data
Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin +4
In analyses of rare-events, regardless of the domain of application, class-imbalance issue is intrinsic. Although the challenges are known to data experts, their explicit impact on…