1 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
Score-oriented loss (SOL) functions
Francesco Marchetti, Sabrina Guastavino, Michele Piana +1
Loss functions engineering and the assessment of forecasting performances are two crucial and intertwined aspects of supervised machine learning. This paper focuses on binary class…
Oversampling errors in multimodal medical imaging are due to the Gibbs effect
Davide Poggiali, Diego Cecchin, Cristina Campi +1
To analyse multimodal 3-dimensional medical images, interpolation is required for resampling which - unavoidably - introduces an interpolation error. In this work we consider three…