30 citations · 31 across the 5 of their papers we have counts for
13 papers
Operational solar flare forecasting via video-based deep learning
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto +2
Operational flare forecasting aims at providing predictions that can be used to make decisions, typically at a daily scale, about the space weather impacts of flare occurrence. Thi…
Prediction of severe thunderstorm events with ensemble deep learning and radar data
Sabrina Guastavino, Michele Piana, Marco Tizzi +5
The problem of nowcasting extreme weather events can be addressed by applying either numerical methods for the solution of dynamic model equations or data-driven artificial intelli…
The Flare Likelihood and Region Eruption Forecasting (FLARECAST) Project: Flare forecasting in the big data & machine learning era
M. K. Georgoulis, D. S. Bloomfield, M. Piana +25
The EU funded the FLARECAST project, that ran from Jan 2015 until Feb 2018. FLARECAST had a R2O focus, and introduced several innovations into the discipline of solar flare forecas…
Flare Forecasting Algorithms Based on High-Gradient Polarity Inversion Lines in Active Regions
Domenico Cicogna, Francesco Berrilli, Daniele Calchetti +6
Solar flares emanate from solar active regions hosting complex and strong bipolar magnetic fluxes. Estimating the probability of an active region to flare and defining reliable pre…
Bad and good errors: value-weighted skill scores in deep ensemble learning
Sabrina Guastavino, Michele Piana, Federico Benvenuto
In this paper we propose a novel approach to realize forecast verification. Specifically, we introduce a strategy for assessing the severity of forecast errors based on the evidenc…
Predictive risk estimation for the Expectation Maximization algorithm with Poisson data
Paolo Massa, Federico Benvenuto
In this work, we introduce a novel estimator of the predictive risk with Poisson data, when the loss function is the Kullback-Leibler divergence, in order to define a regularizatio…