Federico Benvenuto
Orcid: 0000-0002-4776-0256
According to our database1,
Federico Benvenuto
authored at least 26 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
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
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
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
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
CoRR, 2019
Appl. Math. Lett., 2019
2018
Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018
2017
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