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05/22/2023
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics
In many contexts, customized and weighted classification scores are desi...
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05/17/2023
Physics-driven machine learning for the prediction of coronal mass ejections' travel times
Coronal Mass Ejections (CMEs) correspond to dramatic expulsions of plasm...
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09/12/2022
Operational solar flare forecasting via video-based deep learning
Operational flare forecasting aims at providing predictions that can be ...
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10/24/2021
Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data
Solar flare forecasting can be realized by means of the analysis of magn...
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09/20/2021
Prediction of severe thunderstorm events with ensemble deep learning and radar data
The problem of nowcasting extreme weather events can be addressed by app...
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03/29/2021
Score-oriented loss (SOL) functions
Loss functions engineering and the assessment of forecasting performance...
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03/04/2021
Bad and good errors: value-weighted skill scores in deep ensemble learning
In this paper we propose a novel approach to realize forecast verificati...
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04/08/2019
