| Prediction of severe thunderstorm events with ensemble deep learning and radar data S Guastavino, M Piana, M Tizzi, F Cassola, A Iengo, D Sacchetti, ... Scientific Reports 12 (1), 20049, 2022 | 29 | 2022 |
| Flare-forecasting algorithms based on high-gradient polarity inversion lines in active regions D Cicogna, F Berrilli, D Calchetti, D Del Moro, L Giovannelli, F Benvenuto, ... The Astrophysical Journal 915 (1), 38, 2021 | 19 | 2021 |
| Implementation paradigm for supervised flare forecasting studies: A deep learning application with video data S Guastavino, F Marchetti, F Benvenuto, C Campi, M Piana Astronomy & Astrophysics 662, A105, 2022 | 14 | 2022 |
| Score-oriented loss (sol) functions F Marchetti, S Guastavino, M Piana, C Campi Pattern Recognition 132, 108913, 2022 | 12 | 2022 |
| A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery S Guastavino, F Benvenuto Statistics and Computing 29 (3), 501-516, 2019 | 12 | 2019 |
| Bad and good errors: Value-weighted skill scores in deep ensemble learning S Guastavino, M Piana, F Benvenuto IEEE transactions on neural networks and learning systems 35 (2), 1993-2002, 2022 | 11 | 2022 |
| Desaturating SDO/AIA observations of solar flaring storms S Guastavino, M Piana, AM Massone, R Schwartz, F Benvenuto The Astrophysical Journal 882 (2), 109, 2019 | 10 | 2019 |
| Prediction capability of geomagnetic events from solar wind data using neural networks D Telloni, ML Schiavo, E Magli, S Fineschi, S Guastavino, G Nicolini, ... The Astrophysical Journal 952 (2), 111, 2023 | 8 | 2023 |
| The STIX Imaging Concept P Massa, GJ Hurford, A Volpara, M Kuhar, AF Battaglia, H Xiao, ... Solar Physics 298 (10), 114, 2023 | 7 | 2023 |
| Operational solar flare forecasting via video-based deep learning S Guastavino, F Marchetti, F Benvenuto, C Campi, M Piana Frontiers in Astronomy and Space Sciences 9, 1039805, 2023 | 7 | 2023 |
| Physics-driven machine learning for the prediction of coronal mass ejections’ travel times S Guastavino, V Candiani, A Bemporad, F Marchetti, F Benvenuto, ... The Astrophysical Journal 954 (2), 151, 2023 | 6 | 2023 |
| Convergence rates of spectral regularization methods: A comparison between ill-posed inverse problems and statistical kernel learning S Guastavino, F Benvenuto SIAM Journal on Numerical Analysis 58 (6), 3504-3529, 2020 | 6 | 2020 |
| Validation of an automated system for the extraction of a wide dataset for clinical studies aimed at improving the early diagnosis of candidemia DR Giacobbe, S Mora, A Signori, C Russo, G Brucci, C Campi, ... Diagnostics 13 (5), 961, 2023 | 5 | 2023 |
| Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project DR Giacobbe, C Marelli, S Mora, S Guastavino, C Russo, G Brucci, ... Annals of medicine 55 (2), 2285454, 2023 | 4 | 2023 |
| Prediction of solar energetic events impacting space weather conditions MK Georgoulis, SL Yardley, JA Guerra, SA Murray, A Ahmadzadeh, ... Advances in Space Research, 2024 | 3 | 2024 |
| A mathematical model for image saturation with an application to the restoration of solar images via adaptive sparse deconvolution S Guastavino, F Benvenuto Inverse Problems 37 (1), 015010, 2020 | 3 | 2020 |
| Explainable and interpretable machine learning for antimicrobial stewardship: opportunities and challenges DR Giacobbe, C Marelli, S Guastavino, S Mora, N Rosso, A Signori, ... Clinical Therapeutics, 2024 | 2 | 2024 |
| Desaturating EUV observations of solar flaring storms S Guastavino, M Piana, AM Massone, R Schwartz, F Benvenuto arXiv preprint arXiv:1904.04211, 2019 | 2 | 2019 |
| Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches S Guastavino, K Bahamazava, E Perracchione, F Camattari, G Audone, ... arXiv preprint arXiv:2403.09847, 2024 | 1 | 2024 |
| Greedy feature selection: Classifier-dependent feature selection via greedy methods F Camattari, S Guastavino, F Marchetti, M Piana, E Perracchione arXiv preprint arXiv:2403.05138, 2024 | 1 | 2024 |
