11 citations · 13 across the 12 of their papers we have counts for
13 papers
Count-based spectral component imaging (CCI) of solar flares in X-rays
Alessia Guidetti, Muriel Zoë Stiefel, Paolo Massa +3
X-ray emission in solar flares is produced by both multi-thermal plasma and accelerated electrons. Classical imaging approaches reconstruct X-ray intensity maps which contain contr…
CLEAN and multi-scale CLEAN for STIX in Solar Orbiter
Miriana Catalano, Anna Volpara, Paolo Massa +2
CLEAN is a well-established deconvolution approach to Fourier imaging at both radio wavelwengths and hard X-ray energies. However, specifically for hard X-ray imaging, CLEAN suffer…
AI-based modular warning machine for risk identification in proximity healthcare
Chiara Razzetta, Shahryar Noei, Federico Barbarossa +17
"DHEAL-COM - Digital Health Solutions in Community Medicine" is a research and technology project funded by the Italian Department of Health for the development of digital solution…
Physics-informed features in supervised machine learning
Margherita Lampani, Sabrina Guastavino, Michele Piana +1
Supervised machine learning involves approximating an unknown functional relationship from a limited dataset of features and corresponding labels. The classical approach to feature…
Solar flares as electron accelerators: toward a resolution of the acceleration efficiency issue
Anna Volpara, Paolo Massa, Michele Piana +2
A major open issue concerning the active Sun is the effectiveness with which magnetic reconnection accelerates electrons in flares. A paper published by {\em{Nature}} in 2022 used…
Artificial Intelligence Could Have Predicted All Space Weather Events Associated with the May 2024 Superstorm
Sabrina Guastavino, Edoardo Legnaro, Anna Maria Massone +1
Space weather, driven by solar flares and Coronal Mass Ejections (CMEs), poses significant risks to technological systems. Accurately forecasting these events and their impact on E…
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…
Multi-scale CLEAN in hard X-ray solar imaging
Anna Volpara, Michele Piana, Anna Maria Massone
Multi-scale deconvolution is an ill-posed inverse problem in imaging, with applications ranging from microscopy, through medical imaging, to astronomical remote sensing. In the cas…
Inverse diffraction for the Atmospheric Imaging Assembly in the Solar Dynamics Observatory
Gabriele Torre, Richard A Schwartz, Federico Benvenuto +2
The Atmospheric Imaging Assembly in the Solar Dynamics Observatory provides full Sun images every 1 seconds in each of 7 Extreme Ultraviolet passbands. However, for a significant a…