PORTA, FEDERICA

PORTA, FEDERICA  

Dipartimento di Scienze Fisiche, Informatiche e Matematiche  

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Titolo Data di pubblicazione Autore(i) File
A convergent least-squares regularized blind deconvolution approach 1-gen-2015 Cornelio, Anastasia; Porta, Federica; Prato, Marco
A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems 1-gen-2020 Crisci, S.; Porta, F.; Ruggiero, V.; Zanni, L.
A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction 1-gen-2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.
A new steplength selection for scaled gradient methods with application to image deblurring 1-gen-2015 Porta, Federica; Prato, Marco; Zanni, Luca
A nonsmooth regularization approach based on shearlets for Poisson noise removal in ROI tomography 1-gen-2018 Bubba, Tatiana Alessandra; Porta, Federica; Zanghirati, Gaetano; Bonettini, Silvia
A stochastic gradient method with variance control and variable learning rate for Deep Learning 1-gen-2024 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.; Zanni, L.
A Variable Metric Forward-Backward Method with Extrapolation 1-gen-2016 Bonettini, Silvia; Porta, Federica; Ruggiero, V.
A variable metric proximal stochastic gradient method: An application to classification problems 1-gen-2024 Cascarano, P.; Franchini, G.; Kobler, E.; Porta, F.; Sebastiani, A.
Automatic Setting of Learning Rate and Mini-batch Size in Momentum and AdaM Stochastic Gradient Methods 1-gen-2024 Franchini, G.; Porta, F.
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network 1-gen-2022 Franchini, Giorgia; Verucchi, Micaela; Catozzi, Ambra; Porta, Federica; Prato, Marco
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM 1-gen-2021 Cascarano, P.; Sebastiani, A.; Comes, M. C.; Franchini, G.; Porta, F.
Constrained and unconstrained deep image prior optimization models with automatic regularization 1-gen-2023 Cascarano, Pasquale; Franchini, Giorgia; Kobler, Erich; Porta, Federica; Sebastiani, Andrea
Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction (Journal of Scientific Computing, (2023), 94, 1, (23), 10.1007/s10915-022-02084-3) 1-gen-2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.
Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods 1-gen-2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.; Zanni, L.
Filter factor analysis of scaled gradient methods for linear least squares 1-gen-2013 Porta, F.; Cornelio, A.; Zanni, L.; Prato, M.
Hybrid limited memory gradient projection methods for box-constrained optimization problems 1-gen-2023 Crisci, S.; Porta, F.; Ruggiero, V.; Zanni, L.
Learning rate selection in stochastic gradient methods based on line search strategies 1-gen-2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.; Zanni, L.
Limited-memory scaled gradient projection methods for real-time image deconvolution in microscopy 1-gen-2015 Porta, Federica; Zanella, R.; Zanghirati, G.; Zanni, Luca
Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance 1-gen-2025 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.; Zanni, L.
Neural architecture search via standard machine learning methodologies 1-gen-2023 Franchini, Giorgia; Ruggiero, Valeria; Porta, Federica; Zanni, Luca