11 citations · 13 across the 12 of their papers we have counts for
5 papers · 1 filter
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers
Edoardo Legnaro, Sabrina Guastavino, Michele Piana +1
A solar active region can significantly disrupt the Sun Earth space environment, often leading to severe space weather events such as solar flares and coronal mass ejections. As a…
Extended Drag-Based Model for better predicting the evolution of Coronal Mass Ejections
Mattia Rossi, Sabrina Guastavino, Michele Piana +1
The solar wind drag-based model is a widely used framework for predicting the propagation of Coronal Mass Ejections (CMEs) through interplanetary space. This model primarily consid…
RIS: Regularized Imaging Spectroscopy for STIX on-board Solar Orbiter
Anna Volpara, Alessandro Lupoli, Frank Filbir +3
Imaging spectroscopy, i.e., the generation of spatially resolved count spectra and of cubes of count maps at different energies, is one of the main goals of solar hard X-ray missio…
Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches
Sabrina Guastavino, Katsiaryna Bahamazava, Emma Perracchione +8
This study addresses the prediction of geomagnetic disturbances by exploiting machine learning techniques. Specifically, the Long-Short Term Memory recurrent neural network, which…
Greedy feature selection: Classifier-dependent feature selection via greedy methods
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti +2
The purpose of this study is to introduce a new approach to feature ranking for classification tasks, called in what follows greedy feature selection. In statistical learning, feat…