Federico Benvenuto

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 26

Top Topics

Regularization Methods

Inverse Problems

Medical Ultrasound

Machine Learning

Top Venues

SIAM J. Numer. Anal.

J. Optim. Theory Appl.

Appl. Math. Lett.

Publications

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) (2024)
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) (2024)
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 (2024)
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 (2023)
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 (2023)
Chiara Razzetta, Valentina Candiani, Marco Crocco, Federico Benvenuto
A hybrid time-frequency parametric modelling of medical ultrasound signal transmission. CoRR (2023)
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 (2022)
Chiara Razzetta, Marco Crocco, Federico Benvenuto
Narrowband Transmit Beam Pattern in medical ultrasound: a stochastic approach to delays optimization. CoRR (2022)
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 (2022)
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana
Operational solar flare forecasting via video-based deep learning. CoRR (2022)
Sabrina Guastavino, Michele Piana, Federico Benvenuto
Bad and good errors: value-weighted skill scores in deep ensemble learning. CoRR (2021)
Paolo Massa, Sara Garbarino, Federico Benvenuto
Regularization from examples via neural networks for parametric inverse problems: topology matters. CoRR (2021)
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 (2021)
Paolo Massa, Emma Perracchione, Sara Garbarino, Andrea F. Battaglia, Federico Benvenuto, Michele Piana, Gordon Hurford, Sam Krucker
Imaging from STIX visibility amplitudes. CoRR (2021)
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 (2021)
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) (2020)
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 (2020)
Paolo Massa, Federico Benvenuto
Predictive risk estimation for the Expectation Maximization algorithm with Poisson data. CoRR (2020)
Federico Benvenuto, Bangti Jin
A Parameter Choice Rule for Tikhonov Regularization Based on Predictive Risk. CoRR (2019)
Sabrina Guastavino, Michele Piana, Anna Maria Massone, Richard A. Schwartz, Federico Benvenuto
Desaturating EUV observations of solar flaring storms. CoRR (2019)
Federico Benvenuto, Cristina Campi
A discrepancy principle for the Landweber iteration based on risk minimization. Appl. Math. Lett. 96 (2019)
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) (2019)
Michele Piana, Federico Benvenuto, Anna Maria Massone, Cristina Campi
FLARECAST: An I4.0 Technology for Space Weather Using Satellite Data. RTSI (2018)
Federico Benvenuto
A Study on Regularization for Discrete Inverse Problems with Model-Dependent Noise. SIAM J. Numer. Anal. 55 (5) (2017)
Federico Benvenuto, Michele Piana, Cristina Campi, Anna Maria Massone
A hybrid supervised/unsupervised machine learning approach to solar flare prediction. CoRR (2017)
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) (2016)
Silvia Bonettini, Federico Benvenuto, Riccardo Zanella, Luca Zanni, Mario Bertero
Gradient projection approaches for optimization problems in image deblurring and denoising. EUSIPCO (2009)