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Federica Porta
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2020 – today
- 2024
- [j17]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: 100088 (2024) - [j16]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: 116083 (2024) - 2023
- [j15]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): 125-149 (2023) - [j14]Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni:
Hybrid limited memory gradient projection methods for box-constrained optimization problems. Comput. Optim. Appl. 84(1): 151-189 (2023) - [j13]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): 23 (2023) - [j12]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): 48 (2023) - [c6]Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni:
Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods. OLA 2023: 21-35 - [c5]Alessandro Benfenati, Ambra Catozzi, Giorgia Franchini, Federica Porta:
Piece-wise Constant Image Segmentation with a Deep Image Prior Approach. SSVM 2023: 352-362 - 2022
- [j11]Giorgia Franchini, Micaela Verucchi, Ambra Catozzi, Federica Porta, Marco Prato:
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network. Algorithms 15(10): 386 (2022) - [c4]Antonio Coviello, Federica Porta, Maurizio Magarini, Umberto Spagnolini:
Neural network-based classification of ENG recordings in response to naturally evoked stimulation. NANOCOM 2022: 15:1-15:7 - 2021
- [j10]Silvia Bonettini, Federica Porta, Valeria Ruggiero, Luca Zanni:
Variable metric techniques for forward-backward methods in imaging. J. Comput. Appl. Math. 385: 113192 (2021) - [c3]Federica Porta, Courtney Celian, James L. Patton:
Upper Extremity Functional Rehabilitation for Stroke Survivors Using Error-Augmented Visual Feedback: Interim Results. EMBC 2021: 1318-1324 - [c2]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: 39-46 - 2020
- [j9]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): 1300-1326 (2020)
2010 – 2019
- 2019
- [c1]Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni:
A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems. NUMTA(1) 2019: 161-176 - 2018
- [j8]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: 131-152 (2018) - [j7]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: 153-175 (2018) - 2016
- [j6]Silvia Bonettini, Ignace Loris, Federica Porta, Marco Prato:
Variable Metric Inexact Line-Search-Based Methods for Nonsmooth Optimization. SIAM J. Optim. 26(2): 891-921 (2016) - [j5]Silvia Bonettini, Federica Porta, Valeria Ruggiero:
A Variable Metric Forward-Backward Method with Extrapolation. SIAM J. Sci. Comput. 38(4) (2016) - 2015
- [j4]Federica Porta, Ignace Loris:
On some steplength approaches for proximal algorithms. Appl. Math. Comput. 253: 345-362 (2015) - [j3]Anastasia Cornelio, Federica Porta, Marco Prato:
A convergent least-squares regularized blind deconvolution approach. Appl. Math. Comput. 259: 173-186 (2015) - [j2]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): 112-127 (2015) - [j1]Federica Porta, Marco Prato, Luca Zanni:
A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring. J. Sci. Comput. 65(3): 895-919 (2015)
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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