Federica Porta
Orcid: 0000-0002-0713-5421
According to our database1,
Federica Porta
authored at least 23 papers
between 2015 and 2024.
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Bibliography
2024
A stochastic gradient method with variance control and variable learning rate for Deep Learning.
J. Comput. Appl. Math., 2024
A variable metric proximal stochastic gradient method: An application to classification problems.
EURO J. Comput. Optim., 2024
2023
Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction.
J. Sci. Comput., August, 2023
A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction.
J. Sci. Comput., 2023
Hybrid limited memory gradient projection methods for box-constrained optimization problems.
Comput. Optim. Appl., 2023
Constrained and unconstrained deep image prior optimization models with automatic regularization.
Comput. Optim. Appl., 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the Optimization and Learning - 6th International Conference, 2023
2022
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network.
Algorithms, 2022
Neural network-based classification of ENG recordings in response to naturally evoked stimulation.
Proceedings of the NANOCOM '22: The Ninth Annual ACM International Conference on Nanoscale Computing and Communication, Barcelona, Catalunya, Spain, October 5, 2022
2021
J. Comput. Appl. Math., 2021
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM.
Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021
Upper Extremity Functional Rehabilitation for Stroke Survivors Using Error-Augmented Visual Feedback: Interim Results.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Spectral Properties of Barzilai-Borwein Rules in Solving Singly Linearly Constrained Optimization Problems Subject to Lower and Upper Bounds.
SIAM J. Optim., 2020
2019
A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019
2018
Serial and parallel approaches for image segmentation by numerical minimization of a second-order functional.
Appl. Math. Comput., 2018
A nonsmooth regularization approach based on shearlets for Poisson noise removal in ROI tomography.
Appl. Math. Comput., 2018
2016
SIAM J. Sci. Comput., 2016
SIAM J. Optim., 2016
2015
A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring.
J. Sci. Comput., 2015
Limited-memory scaled gradient projection methods for real-time image deconvolution in microscopy.
Commun. Nonlinear Sci. Numer. Simul., 2015
Appl. Math. Comput., 2015