Federico Benvenuto

发表

A Robust Inversion Method According to a New Notion of Regularization for Poisson Data with an Application to Nanoparticle Volume Determination

Houssem Haddar, Federico Benvenuto, Blandine Lantz, 2016, SIAM J. Appl. Math..

Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning

Federico Benvenuto, Sabrina Guastavino, F. Benvenuto, 2020, SIAM J. Numer. Anal..

Predictive risk estimation for the expectation maximization algorithm with Poisson data pdf

Paolo Massa, Federico Benvenuto, F. Benvenuto, 2020, Inverse Problems.

FLARECAST: An I4.0 Technology for Space Weather Using Satellite Data

Michele Piana, Cristina Campi, Anna Maria Massone, 2018, 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI).

A Parameter Choice Rule for Tikhonov Regularization Based on Predictive Risk pdf

Bangti Jin, Federico Benvenuto, 2019, ArXiv.

New Software and Platforms - Scilab and Matlab Toolboxes

Houssem Haddar, Federico Benvenuto, Grégoire Allaire, 2014 .

A discrepancy principle for the Landweber iteration based on risk minimization

Cristina Campi, Federico Benvenuto, F. Benvenuto, 2019, Appl. Math. Lett..

Gradient projection approaches for optimization problems in image deblurring and denoising

Luca Zanni, Mario Bertero, Silvia Bonettini, 2009, 2009 17th European Signal Processing Conference.

Machine learning as a flaring storm warning machine: Was a warning machine for the September 2017 solar flaring storm possible? pdf

Michele Piana, Anna Maria Massone, Federico Benvenuto, 2020, ArXiv.

Flare forecasting and feature ranking using SDO/HMI data

Michele Piana, Cristina Campi, Anna Maria Massone, 2018 .

Desaturating EUV observations of solar flaring storms pdf

Michele Piana, Anna Maria Massone, Federico Benvenuto, 2019, ArXiv.

A Hybrid Supervised/Unsupervised Machine Learning Approach to Solar Flare Prediction pdf

Michele Piana, Cristina Campi, Anna Maria Massone, 2017, ArXiv.

A Study on Regularization for Discrete Inverse Problems with Model-Dependent Noise

Federico Benvenuto, 2017, SIAM J. Numer. Anal..

Iterative deconvolution and semiblind deconvolution methods in magnetic archaeological prospecting

Mario Bertero, Federico Benvenuto, Andrea Zunino, 2009 .

A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery

Federico Benvenuto, Sabrina Guastavino, F. Benvenuto, 2018, Stat. Comput..

Imaging from STIX visibility amplitudes pdf

Sam Krucker, Emma Perracchione, Sara Garbarino, 2021, Astronomy & Astrophysics.

The flare likelihood and region eruption forecasting (FLARECAST) project: flare forecasting in the big data & machine learning era

Eric Buchlin, Manolis K. Georgoulis, Vittorio Latorre, 2021, Journal of Space Weather and Space Climate.

Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data pdf

Michele Piana, Cristina Campi, Federico Benvenuto, 2021, ArXiv.

Prediction of severe thunderstorm events with ensemble deep learning and radar data pdf

Michele Piana, Federico Benvenuto, Sabrina Guastavino, 2021, Scientific Reports.

Regularization from examples via neural networks for parametric inverse problems: topology matters pdf

Sara Garbarino, Federico Benvenuto, Paolo Massa, 2021, ArXiv.

Bad and good errors: value-weighted skill scores in deep ensemble learning pdf

Michele Piana, Federico Benvenuto, Sabrina Guastavino, 2021, ArXiv.

Forecasting Solar Flares Using Magnetogram-based Predictors and Machine Learning

Manolis K. Georgoulis, Kostas Florios, Federico Benvenuto, 2018, 1801.05744.

Inverse diffraction for the Atmospheric Imaging Assembly in the Solar Dynamics Observatory

Michele Piana, Anna Maria Massone, Federico Benvenuto, 2015, 1501.07805.

Count-based imaging model for the Spectrometer/Telescope for Imaging X-rays (STIX) in Solar Orbiter

Michele Piana, Anna Maria Massone, Federico Benvenuto, 2019, Astronomy & Astrophysics.

Joint myopic deconvolution

Federico Benvenuto, A Ferrari, 2010 .

Feature Ranking of Active Region Source Properties in Solar Flare Forecasting and the Uncompromised Stochasticity of Flare Occurrence

Michele Piana, Cristina Campi, Anna Maria Massone, 2019, The Astrophysical Journal.

Regularization of multiplicative iterative algorithms with nonnegative constraint

Michele Piana, Federico Benvenuto, F. Benvenuto, 2014 .

Expectation maximization for hard X-ray count modulation profiles

Michele Piana, Anna Maria Massone, Federico Benvenuto, 2013, 1302.4857.