Federico Benvenuto

38 papers Journal 35Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PRESOL: A web-based computational setting for feature-based flare forecasting. Astron. Comput. Chiara Curletto, Paolo Massa, Valeria Tagliafico, Cristina Campi, Federico Benvenuto, Michele Piana, Andrea Tacchino
2025	J	`jnl`	A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics. Optim. Lett. Francesco Marchetti, Sabrina Guastavino, Cristina Campi, Federico Benvenuto, Michele Piana
2025	—	`conf`	AI-Based Modular Warning Machine for Risk Identification in Proximity Healthcare. MetroXRAINE Chiara Razzetta, Shahryar Noei, Federico Barbarossa, Edoardo Spairani, Monica Roascio, Elisa Barbi, Giulia Ciacci, Sara Sommariva, Sabrina Guastavino, Michele Piana, Matteo Lenge, Gabriele Arnulfo, Giovanni Magenes, Elvira Maranesi, Giulio Amabili, Anna Maria Massone, Federico Benvenuto, Giuseppe Jurman, Diego Sona, Cristina Campi
2025	J	`jnl`	AI-based modular warning machine for risk identification in proximity healthcare. CoRR Chiara Razzetta, Shahryar Noei, Federico Barbarossa, Edoardo Spairani, Monica Roascio, Elisa Barbi, Giulia Ciacci, Sara Sommariva, Sabrina Guastavino, Michele Piana, Matteo Lenge, Gabriele Arnulfo, Giovanni Magenes, Elvira Maranesi, Giulio Amabili, Anna Maria Massone, Federico Benvenuto, Giuseppe Jurman, Diego Sona, Cristina Campi
2025	J	`jnl`	Convergence rates for Tikhonov regularization on compact sets: application to neural networks. CoRR Barbara Palumbo, Paolo Massa, Federico Benvenuto
2025	J	`jnl`	PRESOL: a web-based computational setting for feature-based flare forecasting. CoRR Chiara Curletto, Paolo Massa, Valeria Tagliafico, Cristina Campi, Federico Benvenuto, Michele Piana, Andrea Tacchino
2025	J	`jnl`	Physics-informed features in supervised machine learning. CoRR Margherita Lampani, Sabrina Guastavino, Michele Piana, Federico Benvenuto
2025	J	`jnl`	Solving Implicit Inverse Problems with Homotopy-Based Regularization Path. CoRR Davide Parodi, Federico Benvenuto, Sara Garbarino, Michele Piana
2025	J	`jnl`	Weak convergence rates for spectral regularization via sampling inequalities. CoRR Sabrina Guastavino, Gabriele Santin, Francesco Marchetti, Federico Benvenuto
2025	J	`jnl`	tiDAS: a time invariant approximation of the Delay and Sum algorithm for biomedical ultrasound PSF reconstructions. CoRR Chiara Razzetta, Sara Garbarino, Michele Piana, Marco Crocco, Federico Benvenuto
2024	J	`jnl`	AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data. CoRR Michele Piana, Federico Benvenuto, Anna Maria Massone, Cristina Campi, Sabrina Guastavino, Francesco Marchetti, Paolo Massa, Emma Perracchione, Anna Volpara
2024	J	`jnl`	Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning. IEEE Trans. Neural Networks Learn. Syst. Sabrina Guastavino, Michele Piana, Federico Benvenuto
2024	J	`jnl`	Combined Newton-Gradient Method for Constrained Root-Finding in Chemical Reaction Networks. J. Optim. Theory Appl. Silvia Berra, Alessandro La Torraca, Federico Benvenuto, Sara Sommariva
2023	J	`jnl`	A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics. CoRR Francesco Marchetti, Sabrina Guastavino, Cristina Campi, Federico Benvenuto, Michele Piana
2023	J	`jnl`	A hybrid time-frequency parametric modelling of medical ultrasound signal transmission. CoRR Chiara Razzetta, Valentina Candiani, Marco Crocco, Federico Benvenuto
2023	J	`jnl`	Physics-driven machine learning for the prediction of coronal mass ejections' travel times. CoRR Sabrina Guastavino, Valentina Candiani, Alessandro Bemporad, Francesco Marchetti, Federico Benvenuto, Anna Maria Massone, Roberto Susino, Daniele Telloni, Silvano Fineschi, Michele Piana
2023	J	`jnl`	The CAESAR Project for the ASI Space Weather Infrastructure. Remote. Sens. 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, Valeria Mangano, Maria Federica Marcucci, M. Martucci, Stefano Massetti, Giusi Micela, Anna Milillo, Rositsa Miteva, Marco Molinaro, R. Mugatwala, Alessandro 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
2022	J	`jnl`	A fast and convergent combined Newton and gradient descent method for computing steady states of chemical reaction networks. CoRR Silvia Berra, Alessandro La Torraca, Federico Benvenuto, Sara Sommariva
2022	J	`jnl`	Forward-fitting STIX visibilities. CoRR Anna Volpara, Paolo Massa, Emma Perracchione, Andrea Francesco Battaglia, Sara Garbarino, Federico Benvenuto, Anna Maria Massone, Sam Krucker, Michele Piana
2022	J	`jnl`	Narrowband Transmit Beam Pattern in medical ultrasound: a stochastic approach to delays optimization. CoRR Chiara Razzetta, Marco Crocco, Federico Benvenuto
2022	J	`jnl`	Operational solar flare forecasting via video-based deep learning. CoRR Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana
2021	J	`jnl`	Bad and good errors: value-weighted skill scores in deep ensemble learning. CoRR Sabrina Guastavino, Michele Piana, Federico Benvenuto
2021	J	`jnl`	Imaging from STIX visibility amplitudes. CoRR Paolo Massa, Emma Perracchione, Sara Garbarino, Andrea F. Battaglia, Federico Benvenuto, Michele Piana, Gordon Hurford, Sam Krucker
2021	J	`jnl`	Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data. CoRR Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana
2021	J	`jnl`	Prediction of severe thunderstorm events with ensemble deep learning and radar data. CoRR Sabrina Guastavino, Michele Piana, Marco Tizzi, Federico Cassola, Antonio Iengo, Davide Sacchetti, Enrico Solazzo, Federico Benvenuto
2021	J	`jnl`	Regularization from examples via neural networks for parametric inverse problems: topology matters. CoRR Paolo Massa, Sara Garbarino, Federico Benvenuto
2020	J	`jnl`	Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning. SIAM J. Numer. Anal. Sabrina Guastavino, Federico Benvenuto
2020	J	`jnl`	Machine learning as a flaring storm warning machine: Was a warning machine for the September 2017 solar flaring storm possible? CoRR Federico Benvenuto, Cristina Campi, Anna Maria Massone, Michele Piana
2020	J	`jnl`	Predictive risk estimation for the Expectation Maximization algorithm with Poisson data. CoRR Paolo Massa, Federico Benvenuto
2019	J	`jnl`	A Parameter Choice Rule for Tikhonov Regularization Based on Predictive Risk. CoRR Federico Benvenuto, Bangti Jin
2019	J	`jnl`	A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery. Stat. Comput. Sabrina Guastavino, Federico Benvenuto
2019	J	`jnl`	A discrepancy principle for the Landweber iteration based on risk minimization. Appl. Math. Lett. Federico Benvenuto, Cristina Campi
2019	J	`jnl`	Desaturating EUV observations of solar flaring storms. CoRR Sabrina Guastavino, Michele Piana, Anna Maria Massone, Richard A. Schwartz, Federico Benvenuto
2018	—	`conf`	FLARECAST: An I4.0 Technology for Space Weather Using Satellite Data. RTSI Michele Piana, Federico Benvenuto, Anna Maria Massone, Cristina Campi
2017	J	`jnl`	A Study on Regularization for Discrete Inverse Problems with Model-Dependent Noise. SIAM J. Numer. Anal. Federico Benvenuto
2017	J	`jnl`	A hybrid supervised/unsupervised machine learning approach to solar flare prediction. CoRR Federico Benvenuto, Michele Piana, Cristina Campi, Anna Maria Massone
2016	J	`jnl`	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. Federico Benvenuto, Houssem Haddar, Blandine Lantz
2009	—	`conf`	Gradient projection approaches for optimization problems in image deblurring and denoising. EUSIPCO Silvia Bonettini, Federico Benvenuto, Riccardo Zanella, Luca Zanni, Mario Bertero