Federico Benvenuto

Orcid: 0000-0002-4776-0256

According to our database1, Federico Benvenuto authored at least 26 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Combined Newton-Gradient Method for Constrained Root-Finding in Chemical Reaction Networks.
J. Optim. Theory Appl., January, 2024

AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data.
CoRR, 2024

2023
A hybrid time-frequency parametric modelling of medical ultrasound signal transmission.
CoRR, 2023

A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics.
CoRR, 2023

Physics-driven machine learning for the prediction of coronal mass ejections' travel times.
CoRR, 2023

2022
A fast and convergent combined Newton and gradient descent method for computing steady states of chemical reaction networks.
CoRR, 2022

Narrowband Transmit Beam Pattern in medical ultrasound: a stochastic approach to delays optimization.
CoRR, 2022

Operational solar flare forecasting via video-based deep learning.
CoRR, 2022

Forward-fitting STIX visibilities.
CoRR, 2022

2021
Regularization from examples via neural networks for parametric inverse problems: topology matters.
CoRR, 2021

Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data.
CoRR, 2021

Prediction of severe thunderstorm events with ensemble deep learning and radar data.
CoRR, 2021

Imaging from STIX visibility amplitudes.
CoRR, 2021

2020
Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning.
SIAM J. Numer. Anal., 2020

Predictive risk estimation for the Expectation Maximization algorithm with Poisson data.
CoRR, 2020

Machine learning as a flaring storm warning machine: Was a warning machine for the September 2017 solar flaring storm possible?
CoRR, 2020

2019
A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery.
Stat. Comput., 2019

A Parameter Choice Rule for Tikhonov Regularization Based on Predictive Risk.
CoRR, 2019

Desaturating EUV observations of solar flaring storms.
CoRR, 2019

A discrepancy principle for the Landweber iteration based on risk minimization.
Appl. Math. Lett., 2019

2018
FLARECAST: An I4.0 Technology for Space Weather Using Satellite Data.
Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018

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

A hybrid supervised/unsupervised machine learning approach to solar flare prediction.
CoRR, 2017

2016
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., 2016

2009
Gradient projection approaches for optimization problems in image deblurring and denoising.
Proceedings of the 17th European Signal Processing Conference, 2009


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