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ORCIDFederico Benvenuto
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2020 – today
- 2025
[j9]Francesco Marchetti
, Sabrina Guastavino, Cristina Campi, Federico Benvenuto, Michele Piana:
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics. Optim. Lett. 19(1): 169-192 (2025)- 2024
- [j8]Silvia Berra, Alessandro La Torraca, Federico Benvenuto, Sara Sommariva:
Combined Newton-Gradient Method for Constrained Root-Finding in Chemical Reaction Networks. J. Optim. Theory Appl. 200(1): 404-427 (2024) - [j7]Sabrina Guastavino, Michele Piana, Federico Benvenuto:
Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1993-2002 (2024) - [i18]Michele Piana, Federico Benvenuto, Anna Maria Massone, Cristina Campi, Sabrina Guastavino, Francesco Marchetti, Paolo Massa, Emma Perracchione, Anna Volpara:
AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data. CoRR abs/2401.01104 (2024) - 2023
- [j6]Monica Laurenza, Dario Del Moro, Tommaso Alberti, Roberto Battiston, Simone Benella, Federico Benvenuto, Francesco Berrilli, Igor Bertello, Bruna Bertucci, Lorenzo Biasiotti, Cristina Campi, Vincenzo Carbone, M. Casolino, C. Cecchi Pestellini, Federica Chiappetta, Igino Coco, S. Colombo, Giuseppe Consolini, Raffaella D'Amicis, Giancarlo De Gasperis, Rossana De Marco, Alfredo Del Corpo, Piero Diego, Valeria Di Felice, Luca Di Fino, C. Di Geronimo, F. Faldi, Fabiana Ferrente, Chiara Feruglio, E. Fiandrini, Fabrizio Fiore, Raffaello Foldes, Valerio Formato, G. Francisco, Fabio Giannattasio, Marco Giardino, P. Giobbi, Luca Giovannelli, M. Giusti, A. Gorgi, Balázs Heilig, Giulia Iafrate, Stavro Ivanovski, Giovanna Jerse, M. B. Korsos, Fabio Lepreti, D. Locci, Carmelo Magnafico, V. Mangano, Maria Federica Marcucci, M. Martucci, Stefano Massetti, G. Micela, Anna Milillo, Rositsa Miteva, Marco Molinaro, R. Mugatwala, A. Mura, Gianluca Napoletano, Livio Narici, Coralie Neubüser, G. Nisticò, M. Pauluzzi, Alessandro Perfetti, S. Perri, Antonino Petralia, Michael Pezzopane, Mirko Piersanti, Ermanno Pietropaolo, Alessio Pignalberi, Christina Plainaki, Gianluca Polenta, Leonardo Primavera, Giulia Romoli, M. Rossi, Lucia Santarelli, G. Santi Amantini, Federico Siciliano, Giuseppe Sindoni, S. Spadoni, Roberta Sparvoli, Mirko Stumpo, Nicola Tomassetti, Roberta Tozzi, Valerio Vagelli, N. Vasantharaju, Antonio Vecchio, Massimo Vellante, S. Vernetto, Carlo Francesco Vigorito, Matthew J. West, Gaetano Zimbardo, Pietro Zucca, Francesca Zuccarello, Paolo Zuccon:
The CAESAR Project for the ASI Space Weather Infrastructure. Remote. Sens. 15(2): 346 (2023) - [i17]Sabrina Guastavino, Valentina Candiani, Alessandro Bemporad, Francesco Marchetti, Federico Benvenuto, Anna Maria Massone, Roberto Susino, Daniele Telloni, Silvano Fineschi, Michele Piana:
Physics-driven machine learning for the prediction of coronal mass ejections' travel times. CoRR abs/2305.10057 (2023) - [i16]Francesco Marchetti, Sabrina Guastavino, Cristina Campi, Federico Benvenuto, Michele Piana:
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics. CoRR abs/2305.13472 (2023) - [i15]Chiara Razzetta, Valentina Candiani, Marco Crocco, Federico Benvenuto:
A hybrid time-frequency parametric modelling of medical ultrasound signal transmission. CoRR abs/2305.18173 (2023) - 2022
- [i14]Anna Volpara, Paolo Massa, Emma Perracchione, Andrea Francesco Battaglia, Sara Garbarino, Federico Benvenuto, Anna Maria Massone, Sam Krucker, Michele Piana:
Forward-fitting STIX visibilities. CoRR abs/2204.14148 (2022) - [i13]Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana:
Operational solar flare forecasting via video-based deep learning. CoRR abs/2209.05128 (2022) - [i12]Chiara Razzetta, Marco Crocco, Federico Benvenuto:
Narrowband Transmit Beam Pattern in medical ultrasound: a stochastic approach to delays optimization. CoRR abs/2209.05758 (2022) - [i11]Silvia Berra, Alessandro La Torraca, Federico Benvenuto, Sara Sommariva:
A fast and convergent combined Newton and gradient descent method for computing steady states of chemical reaction networks. CoRR abs/2212.14252 (2022) - 2021
- [i10]Sabrina Guastavino, Michele Piana, Federico Benvenuto:
Bad and good errors: value-weighted skill scores in deep ensemble learning. CoRR abs/2103.02881 (2021) - [i9]Paolo Massa, Emma Perracchione, Sara Garbarino, Andrea F. Battaglia, Federico Benvenuto, Michele Piana, Gordon Hurford, Sam Krucker:
Imaging from STIX visibility amplitudes. CoRR abs/2108.04901 (2021) - [i8]Sabrina Guastavino, Michele Piana, Marco Tizzi, Federico Cassola, Antonio Iengo, Davide Sacchetti, Enrico Solazzo, Federico Benvenuto:
Prediction of severe thunderstorm events with ensemble deep learning and radar data. CoRR abs/2109.09791 (2021) - [i7]Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana:
Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data. CoRR abs/2110.12554 (2021) - [i6]Paolo Massa, Sara Garbarino, Federico Benvenuto:
Regularization from examples via neural networks for parametric inverse problems: topology matters. CoRR abs/2112.11331 (2021) - 2020
- [j5]Sabrina Guastavino, Federico Benvenuto:
Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning. SIAM J. Numer. Anal. 58(6): 3504-3529 (2020) - [i5]Federico Benvenuto, Cristina Campi, Anna Maria Massone, Michele Piana:
Machine learning as a flaring storm warning machine: Was a warning machine for the September 2017 solar flaring storm possible? CoRR abs/2007.02425 (2020) - [i4]Paolo Massa, Federico Benvenuto:
Predictive risk estimation for the Expectation Maximization algorithm with Poisson data. CoRR abs/2011.05965 (2020)
2010 – 2019
- 2019
- [j4]Federico Benvenuto, Cristina Campi:
A discrepancy principle for the Landweber iteration based on risk minimization. Appl. Math. Lett. 96: 1-6 (2019) - [j3]Sabrina Guastavino, Federico Benvenuto:
A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery. Stat. Comput. 29(3): 501-516 (2019) - [i3]Sabrina Guastavino, Michele Piana, Anna Maria Massone, Richard A. Schwartz, Federico Benvenuto:
Desaturating EUV observations of solar flaring storms. CoRR abs/1904.04211 (2019) - [i2]Federico Benvenuto, Bangti Jin:
A Parameter Choice Rule for Tikhonov Regularization Based on Predictive Risk. CoRR abs/1912.13004 (2019) - 2018
- [c2]Michele Piana, Federico Benvenuto, Anna Maria Massone, Cristina Campi:
FLARECAST: An I4.0 Technology for Space Weather Using Satellite Data. RTSI 2018: 1-4 - 2017
- [j2]Federico Benvenuto:
A Study on Regularization for Discrete Inverse Problems with Model-Dependent Noise. SIAM J. Numer. Anal. 55(5): 2187-2203 (2017) - [i1]Federico Benvenuto, Michele Piana, Cristina Campi, Anna Maria Massone:
A hybrid supervised/unsupervised machine learning approach to solar flare prediction. CoRR abs/1706.07103 (2017) - 2016
- [j1]Federico Benvenuto, Houssem Haddar, Blandine Lantz:
A Robust Inversion Method According to a New Notion of Regularization for Poisson Data with an Application to Nanoparticle Volume Determination. SIAM J. Appl. Math. 76(1): 276-292 (2016)
2000 – 2009
- 2009
- [c1]Silvia Bonettini, Federico Benvenuto, Riccardo Zanella, Luca Zanni, Mario Bertero:
Gradient projection approaches for optimization problems in image deblurring and denoising. EUSIPCO 2009: 1384-1388
Coauthor Index
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