Federica Porta

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 19

Top Topics

Blind Deconvolution

Stochastic Gradient

Optimization Problems

Top Venues

Appl. Math. Comput.

J. Sci. Comput.

Comput. Optim. Appl.

Publications

Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani
A variable metric proximal stochastic gradient method: An application to classification problems. EURO J. Comput. Optim. 12 (2024)
Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
A stochastic gradient method with variance control and variable learning rate for Deep Learning. J. Comput. Appl. Math. 451 (2024)
Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini
Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction. J. Sci. Comput. 96 (2) (2023)
Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini
A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction. J. Sci. Comput. 94 (1) (2023)
Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani
Constrained and unconstrained deep image prior optimization models with automatic regularization. Comput. Optim. Appl. 84 (1) (2023)
Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods. OLA (2023)
Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni
Hybrid limited memory gradient projection methods for box-constrained optimization problems. Comput. Optim. Appl. 84 (1) (2023)
Alessandro Benfenati, Ambra Catozzi, Giorgia Franchini, Federica Porta
Piece-wise Constant Image Segmentation with a Deep Image Prior Approach. SSVM (2023)
Antonio Coviello, Federica Porta, Maurizio Magarini, Umberto Spagnolini
Neural network-based classification of ENG recordings in response to naturally evoked stimulation. NANOCOM (2022)
Giorgia Franchini, Micaela Verucchi, Ambra Catozzi, Federica Porta, Marco Prato
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network. Algorithms 15 (10) (2022)
Silvia Bonettini, Federica Porta, Valeria Ruggiero, Luca Zanni
Variable metric techniques for forward-backward methods in imaging. J. Comput. Appl. Math. 385 (2021)
Federica Porta, Courtney Celian, James L. Patton
Upper Extremity Functional Rehabilitation for Stroke Survivors Using Error-Augmented Visual Feedback: Interim Results. EMBC (2021)
Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes, Giorgia Franchini, Federica Porta
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM. ICCSA (Workshops) (2021)
Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni
Spectral Properties of Barzilai-Borwein Rules in Solving Singly Linearly Constrained Optimization Problems Subject to Lower and Upper Bounds. SIAM J. Optim. 30 (2) (2020)
Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni
A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems. NUMTA(1) (2019)
Riccardo Zanella, Federica Porta, Valeria Ruggiero, Massimo Zanetti
Serial and parallel approaches for image segmentation by numerical minimization of a second-order functional. Appl. Math. Comput. 318 (2018)
Tatiana A. Bubba, Federica Porta, Gaetano Zanghirati, Silvia Bonettini
A nonsmooth regularization approach based on shearlets for Poisson noise removal in ROI tomography. Appl. Math. Comput. 318 (2018)
Silvia Bonettini, Federica Porta, Valeria Ruggiero
A Variable Metric Forward-Backward Method with Extrapolation. SIAM J. Sci. Comput. 38 (4) (2016)
Silvia Bonettini, Ignace Loris, Federica Porta, Marco Prato
Variable Metric Inexact Line-Search-Based Methods for Nonsmooth Optimization. SIAM J. Optim. 26 (2) (2016)
Federica Porta, Riccardo Zanella, Gaetano Zanghirati, Luca Zanni
Limited-memory scaled gradient projection methods for real-time image deconvolution in microscopy. Commun. Nonlinear Sci. Numer. Simul. 21 (1-3) (2015)
Anastasia Cornelio, Federica Porta, Marco Prato
A convergent least-squares regularized blind deconvolution approach. Appl. Math. Comput. 259 (2015)
Federica Porta, Ignace Loris
On some steplength approaches for proximal algorithms. Appl. Math. Comput. 253 (2015)
Federica Porta, Marco Prato, Luca Zanni
A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring. J. Sci. Comput. 65 (3) (2015)