3 papers
physics.space-ph2024
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…
stat.ML2024
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…
astro-ph.IM2023
Unbiased CLEAN for STIX in Solar Orbiter
Emma Perracchione, Fabiana Camattari, Anna Volpara +3
Aims: To formulate, implement, and validate a user-independent release of CLEAN for Fourier-based image reconstruction of hard X-rays flaring sources. Methods: CLEAN is an iterativ…