Publications

Publications

Marchetti F., Guastavino S., Campi C., Benvenuto F., Piana M., A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics, Optimization Letters (2024)

Giacobbe, D.R., Marelli,  C., Guastavino, S., Mora,  S., Rosso, N., Signori, A., Campi, C., Giacomini, M., Bassetti, M., Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges, Clinical Therapeutics, (2024).

Georgoulis, M.K., Yardley, S.L., Guerra, J.A, Murray, S.A., Ahmadzadeh, A., Anastasiadis, A., Angryk, R., Aydin, B., Banerjee, D.,  Barnes, G., Bemporad, A., Benvenuto, F., Bloomfield, D.S., Bobra, M., Campi, C., Camporeale, E., DeForest, C.E., Emslie, A.G., Falconer, D., Feng, L., Gan, W.,  Green, L.M.,  Guastavino, S., et al., Prediction of Solar Energetic Events Impacting Space Weather Conditions, Advances in Space Weather Research (2024).

Giacobbe, D.R., Marelli, C., Mora, S., Guastavino, S.,  Russo, C., Brucci, G., Limongelli, A., Vena, A.,  Mikulska, M., Tayefi, M., Peluso, S., Signori, A., Di Biagio, A., Marchese, A., Campi, C., Giacomini, M., Bassetti, M., Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project, Annals of Medicine, Volume 55, Issue 2, (2023).

P. Massa,  G.J Hurford, A.Volpara, M. Kuhar, A.F. Battaglia, H. Xiao, D. Casadei, E. Perracchione, S. Garbarino, S. Guastavino, H. Collier, E.C.M. Dickson, A.G. Emslie, D.F. Ryan, S.A. Maloney, F. Schuller, A. Warmuth, A.M. Massone, F. Benvenuto, M. Piana, S. Krucker, The STIX Imaging Concept, Solar Physics (accepted).

S. Guastavino, V. Candiani, A. Bemporad, F. Marchetti, F. Benvenuto, A.M. Massone, S. Mancuso, R. Susino, D. Telloni, S. Fineschi, M. Piana, Physics-driven machine learning for the prediction of coronal mass ejections 's travel times, (2023) The Astrophysical Journal, Vol. 954:151 (9pp). 

D. Telloni, M. Lo Schiavo, E. Magli, S. Fineschi, S. Guastavino, G. Nicolini, R. Susino, S. Giordano, F. Amadori, V. Candiani, A.M. Massone, M. Piana, Prediction capability of geomagnetic Events from solar wind data using neural networks, (2023) The Astrophysical Journal, Vol. 952, n. 2. 

Giacobbe, D.R.; Mora, S.; Signori, A.; Russo, C.; Brucci, G.; Campi, C.; S. Guastavino, C. Marelli, A. Limongelli,  A. vena, M. Mikulska, A. Marchese, A. Di Biagio, M. Giacomini, M. Bassetti, Validation of an Automated System for the Extraction of a Wide Dataset for Clinical Studies Aimed at Improving the Early Diagnosis of Candidemia, (2023) Diagnostics, 13, 961. 

S. Guastavino, F. Marchetti, F. Benvenuto, , C. Campi, M. Piana, Operational solar flare forecasting via video-based deep learning, (2023) Frontiers in Astronomy and Space Sciences, Vol. 9. 

S. Guastavino, M. Piana, M. Tizzi, F. Cassola, A. Iengo, D. Sacchetti, E. Solazzo & F. Benvenuto, Prediction of severe thunderstorm events with ensemble deep learning and radar data, (2022) Scientific Reports 12, 20049. 

S. Guastavino, M. Piana and F. Benvenuto, Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning, (2022) IEEE Transactions on Neural Networks and Learning Systems, pp. 1-10. 

F. Marchetti, S. Guastavino, M. Piana, C. Campi, Score-Oriented Loss (SOL) functions, (2022) Pattern Recognition, Volume 132, 108913. 

S. Guastavino, F. Marchetti, F. Benvenuto, C. Campi, M. Piana, Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data, (2022) Astronomy and Astrophysics, vol. 662, iss. A105. 

D. Cicogna, F. Berrilli, D. Calchetti, D. Del Moro, L. Giovannelli, F. Benvenuto, C. Campi, S. Guastavino, M. Piana, Flare Forecasting Algorithms Based on High-Gradient Polarity Inversion Lines in Active Regions, (2021) The Astrophysical Journal, Vol. 915:38 (12pp), Number 1. 

S. Guastavino & F. Benvenuto, A mathematical model for image saturation with an application to the restoration of solar images via adaptive sparse deconvolution, (2021) Inverse Problems, Vol. 37, 015010 (25pp), Number 1. 

S. Guastavino & F. Benvenuto, Convergence rates of spectral regularization methods: a comparison between ill-posed inverse problems and statistical kernel learning, (2020) SIAM Journal on Numerical Analysis Vol. 58, Number 6, pp 3504–352.

S. Guastavino, M. Piana, A.M. Massone, R. Schwartz, F. Benvenuto, Desaturating SDO/AIA observations of solar flaring storms, (2019) The Astrophysical Journal Vol. 882:109 (12 pp), Number 2. 

M. Piana, C. Campi, F. Benvenuto, S. Guastavino, A.M. Massone, Flare forecasting and feature ranking using SDO/HMI data, (2019) IL NUOVO CIMENTO 42 C, 30. 

S. Guastavino & F. Benvenuto, A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery, (2019) Statistics and Computing 29, pp 501-516. 

Ph.D. Thesis

Learning and inverse problems: from theory to solar physics applications, (2020) http://hdl.handle.net/11567/998315.

Supervisor:Federico  Benvenuto.