Gradient projection approaches for optimization problems in image deblurring and denoising. - Silvia Bonettini; Federico Benvenuto; Riccardo Zanella; Luca Zanni; Mario Bertero (EUSIPCO, 2009)

A Robust Inversion Method According to a New Notion of Regularization for Poisson Data with an Application to Nanoparticle Volume Determination. - Federico Benvenuto; Houssem Haddar; Blandine Lantz (SIAM J. Appl. Math., 2016)

A hybrid supervised/unsupervised machine learning approach to solar flare prediction. - Federico Benvenuto; Michele Piana; Cristina Campi; Anna Maria Massone (CoRR, 2017)

A Study on Regularization for Discrete Inverse Problems with Model-Dependent Noise. - Federico Benvenuto (SIAM J. Numer. Anal., 2017)

FLARECAST: An I4.0 Technology for Space Weather Using Satellite Data. - Michele Piana; Federico Benvenuto; Anna Maria Massone; Cristina Campi (RTSI, 2018)

A discrepancy principle for the Landweber iteration based on risk minimization. - Federico Benvenuto; Cristina Campi (Appl. Math. Lett., 2019)

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

A Parameter Choice Rule for Tikhonov Regularization Based on Predictive Risk. - Federico Benvenuto; Bangti Jin (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)

Machine learning as a flaring storm warning machine: Was a warning machine for the September 2017 solar flaring storm possible? - Federico Benvenuto; Cristina Campi; Anna Maria Massone; Michele Piana (CoRR, 2020)

Predictive risk estimation for the Expectation Maximization algorithm with Poisson data. - Paolo Massa; Federico Benvenuto (CoRR, 2020)

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)

Imaging from STIX visibility amplitudes. - Paolo Massa; Emma Perracchione; Sara Garbarino; Andrea F. Battaglia; Federico Benvenuto; Michele Piana; Gordon Hurford; Sam Krucker (CoRR, 2021)

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)

Regularization from examples via neural networks for parametric inverse problems: topology matters. - Paolo Massa; Sara Garbarino; Federico Benvenuto (CoRR, 2021)

Forward-fitting STIX visibilities. - Anna Volpara; Paolo Massa; Emma Perracchione; Andrea Francesco Battaglia; Sara Garbarino; Federico Benvenuto; Anna Maria Massone; Sam Krucker; Michele Piana (CoRR, 2022)

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

Narrowband Transmit Beam Pattern in medical ultrasound: a stochastic approach to delays optimization. - Chiara Razzetta; Marco Crocco; Federico Benvenuto (CoRR, 2022)

A fast and convergent combined Newton and gradient descent method for computing steady states of chemical reaction networks. - Silvia Berra; Alessandro La Torraca; Federico Benvenuto; Sara Sommariva (CoRR, 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)

A hybrid time-frequency parametric modelling of medical ultrasound signal transmission. - Chiara Razzetta; Valentina Candiani; Marco Crocco; Federico Benvenuto (CoRR, 2023)

The CAESAR Project for the ASI Space Weather Infrastructure. - 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; et al. (Remote. Sens., 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)

Combined Newton-Gradient Method for Constrained Root-Finding in Chemical Reaction Networks. - Silvia Berra; Alessandro La Torraca; Federico Benvenuto; Sara Sommariva (J. Optim. Theory Appl., 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)

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)

Solving Implicit Inverse Problems with Homotopy-Based Regularization Path. - Davide Parodi; Federico Benvenuto; Sara Garbarino; Michele Piana (CoRR, 2025)

Convergence rates for Tikhonov regularization on compact sets: application to neural networks. - Barbara Palumbo; Paolo Massa; Federico Benvenuto (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)

tiDAS: a time invariant approximation of the Delay and Sum algorithm for biomedical ultrasound PSF reconstructions. - Chiara Razzetta; Sara Garbarino; Michele Piana; Marco Crocco; Federico Benvenuto (CoRR, 2025)