Desaturating EUV observations of solar flaring storms. - Sabrina Guastavino; Michele Piana; Anna Maria Massone; Richard A. Schwartz; Federico Benvenuto (CoRR, 2019)

A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery. - Sabrina Guastavino; Federico Benvenuto (Stat. Comput., 2019)

Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning. - Sabrina Guastavino; Federico Benvenuto (SIAM J. Numer. Anal., 2020)

Prediction of severe thunderstorm events with ensemble deep learning and radar data. - Sabrina Guastavino; Michele Piana; Marco Tizzi; Federico Cassola; Antonio Iengo; Davide Sacchetti; Enrico Solazzo; Federico Benvenuto (CoRR, 2021)

Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data. - Sabrina Guastavino; Francesco Marchetti; Federico Benvenuto; Cristina Campi; Michele Piana (CoRR, 2021)

Operational solar flare forecasting via video-based deep learning. - Sabrina Guastavino; Francesco Marchetti; Federico Benvenuto; Cristina Campi; Michele Piana (CoRR, 2022)

Score-Oriented Loss (SOL) functions. - Francesco Marchetti; Sabrina Guastavino; Michele Piana; Cristina Campi (Pattern Recognit., 2022)

Physics-driven machine learning for the prediction of coronal mass ejections' travel times. - Sabrina Guastavino; Valentina Candiani; Alessandro Bemporad; Francesco Marchetti; Federico Benvenuto; Anna Maria Massone; Roberto Susino; Daniele Telloni; Silvano Fineschi; Michele Piana (CoRR, 2023)

AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data. - Michele Piana; Federico Benvenuto; Anna Maria Massone; Cristina Campi; Sabrina Guastavino; Francesco Marchetti; Paolo Massa; Emma Perracchione; Anna Volpara (CoRR, 2024)

Greedy feature selection: Classifier-dependent feature selection via greedy methods. - Fabiana Camattari; Sabrina Guastavino; Francesco Marchetti; Michele Piana; Emma Perracchione (CoRR, 2024)

Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches. - Sabrina Guastavino; Katsiaryna Bahamazava; Emma Perracchione; Fabiana Camattari; Gianluca Audone; Daniele Telloni; Roberto Susino; Gianalfredo Nicolini; Silvano Fineschi; Michele Piana; Anna Maria Massone (CoRR, 2024)

Multimodal Flare Forecasting with Deep Learning. - Grégoire Francisco; Sabrina Guastavino; Teresa Barata; João Fernandes; Dario Del Moro (CoRR, 2024)

Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers. - Edoardo Legnaro; Sabrina Guastavino; Michele Piana; Anna Maria Massone (CoRR, 2024)

Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning. - Sabrina Guastavino; Michele Piana; Federico Benvenuto (IEEE Trans. Neural Networks Learn. Syst., 2024)

Classifier-dependent feature selection via greedy methods. - Fabiana Camattari; Sabrina Guastavino; Francesco Marchetti; Michele Piana; Emma Perracchione (Stat. Comput., 2024)

A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics. - Francesco Marchetti; Sabrina Guastavino; Cristina Campi; Federico Benvenuto; Michele Piana (Optim. Lett., 2025)

Physics-informed features in supervised machine learning. - Margherita Lampani; Sabrina Guastavino; Michele Piana; Federico Benvenuto (CoRR, 2025)

Multiclass threshold-based classification. - Francesco Marchetti; Edoardo Legnaro; Sabrina Guastavino (CoRR, 2025)

AI-based modular warning machine for risk identification in proximity healthcare. - Chiara Razzetta; Shahryar Noei; Federico Barbarossa; Edoardo Spairani; Monica Roascio; Elisa Barbi; Giulia Ciacci; Sara Sommariva; Sabrina Guastavino; Michele Piana; Matteo Lenge; Gabriele Arnulfo; et al. (CoRR, 2025)