PRAGLIOLA, MONICA
PRAGLIOLA, MONICA
DIPARTIMENTO DI MATEMATICA E APPLICAZIONI "RENATO CACCIOPPOLI"
Computational issues and numerical experiments for Linear Multistep Method Particle Filtering
2016 Calvetti, Daniela; Cuomo, Salvatore; Pragliola, Monica; Somersalo, ERKKI JAAKKO; Toraldo, Gerardo
Mimic Visiting Styles by Using a Statistical Approach in a Cultural Event Case Study
2016 Cuomo, Salvatore; DE MICHELE, Pasquale; Pragliola, Monica; Severino, Gerardo
Computational issues in linear multistep method particle filtering
2016 Calvetti, Daniela; Cuomo, Salvatore; Pragliola, Monica; Somersalo, ERKKI JAAKKO; Toraldo, Gerardo
A computational scheme to predict dynamics in IoT systems by using particle filter
2017 Cuomo, Salvatore; DE MICHELE, Pasquale; Pragliola, Monica
Nearly exact discrepancy principle for low-count poisson image restoration
2022 Bevilacqua, Francesca; Lanza, Alessandro; Pragliola, Monica; Sgallari, Fiorella
Residual whiteness principle for parameter-free image restoration
2020 Lanza, A.; Pragliola, M.; Sgallari, F.
Space-variant Generalised Gaussian Regularisation for Image Restoration
2019 Lanza, A.; Morigi, S.; Pragliola, Monica; Sgallari, F.
Towards 3D-printed steel grid-shells: the main idea and first studies
2018 Laghi, Vittoria; Palermo, Michele; Pragliola, Monica; Alena GIRELLI, Valentina; VAN DER VELDEN, Gijs; Trombetti, Tomaso
A comparison of parameter choice rules for $$\ell ^p$$-$$\ell ^q$$ minimization
2022 Buccini, Alessandro; Pragliola, Monica; Reichel, Lothar; Sgallari, Fiorella
Overcomplete representation in a hierarchical Bayesian framework
2022 Pragliola, Monica; Calvetti, Daniela; Somersalo, Erkki
A flexible space-variant anisotropic regularisation for image restoration with automated parameter selection
2019 Calatroni, Luca; Lanza, Alessandro; Pragliola, Monica; Sgallari, Fiorella
Space-variant TV regularization for image restoration
2018 Lanza, Alessandro; Morigi, Serena; Pragliola, Monica; Sgallari, Fiorella
Residual Whiteness Principle for Automatic Parameter Selection in ℓ2 - ℓ2 Image Super-Resolution Problems
2021 Pragliola, Monica; Calatroni, Luca; Lanza, Alessandro; Sgallari, Fiorella
Space-Adaptive Anisotropic Bivariate Laplacian Regularization for Image Restoration
2019 Calatroni, L.; Lanza, A.; Pragliola, M.; Sgallari, F.
Adaptive parameter selection for weighted-TV image reconstruction problems
2020 Calatroni, L.; Lanza, A.; Pragliola, M.; Sgallari, F.
Inducing sparsity via the horseshoe prior in imaging problems
2023 Dong, Yiqiu; Pragliola, Monica
Masked unbiased principles for parameter selection in variational image restoration under Poisson noise
2023 Bevilacqua, Francesca; Lanza, Alessandro; Pragliola, Monica; Sgallari, Fiorella
Speckle noise removal via learned variational models
2024 Cuomo, S.; De Rosa, M.; Izzo, S.; Piccialli, F.; Pragliola, M.
Insights on the different convergences in Extreme Learning Machine
2024 De Falco, Davide Elia; Calabrò, Francesco; Pragliola, Monica
An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023
2024 Pragliola, Monica; Calvetti, Daniela; Somersalo, Erkki
Titolo | Tipologia | Data di pubblicazione | Autore(i) | File |
---|---|---|---|---|
Computational issues and numerical experiments for Linear Multistep Method Particle Filtering | 5.14 Altro ministeriale | 2016 | Calvetti, Daniela; Cuomo, Salvatore; Pragliola, Monica; Somersalo, ERKKI JAAKKO; Toraldo, Gerardo | |
Mimic Visiting Styles by Using a Statistical Approach in a Cultural Event Case Study | 1.1 Articolo in rivista | 2016 | Cuomo, Salvatore; DE MICHELE, Pasquale; Pragliola, Monica; Severino, Gerardo | |
Computational issues in linear multistep method particle filtering | 4.1 Articoli in Atti di convegno | 2016 | Calvetti, Daniela; Cuomo, Salvatore; Pragliola, Monica; Somersalo, ERKKI JAAKKO; Toraldo, Gerardo | |
A computational scheme to predict dynamics in IoT systems by using particle filter | 1.1 Articolo in rivista | 2017 | Cuomo, Salvatore; DE MICHELE, Pasquale; Pragliola, Monica | |
Nearly exact discrepancy principle for low-count poisson image restoration | 1.1 Articolo in rivista | 2022 | Bevilacqua, Francesca; Lanza, Alessandro; Pragliola, Monica; Sgallari, Fiorella | |
Residual whiteness principle for parameter-free image restoration | 1.1 Articolo in rivista | 2020 | Lanza, A.; Pragliola, M.; Sgallari, F. | |
Space-variant Generalised Gaussian Regularisation for Image Restoration | 1.1 Articolo in rivista | 2019 | Lanza, A.; Morigi, S.; Pragliola, Monica; Sgallari, F. | |
Towards 3D-printed steel grid-shells: the main idea and first studies | 2.1 Contributo in volume (Capitolo o Saggio) | 2018 | Laghi, Vittoria; Palermo, Michele; Pragliola, Monica; Alena GIRELLI, Valentina; VAN DER VELDEN, Gijs; Trombetti, Tomaso | |
A comparison of parameter choice rules for $$\ell ^p$$-$$\ell ^q$$ minimization | 1.1 Articolo in rivista | 2022 | Buccini, Alessandro; Pragliola, Monica; Reichel, Lothar; Sgallari, Fiorella | |
Overcomplete representation in a hierarchical Bayesian framework | 1.1 Articolo in rivista | 2022 | Pragliola, Monica; Calvetti, Daniela; Somersalo, Erkki | |
A flexible space-variant anisotropic regularisation for image restoration with automated parameter selection | 1.1 Articolo in rivista | 2019 | Calatroni, Luca; Lanza, Alessandro; Pragliola, Monica; Sgallari, Fiorella | |
Space-variant TV regularization for image restoration | 2.1 Contributo in volume (Capitolo o Saggio) | 2018 | Lanza, Alessandro; Morigi, Serena; Pragliola, Monica; Sgallari, Fiorella | |
Residual Whiteness Principle for Automatic Parameter Selection in ℓ2 - ℓ2 Image Super-Resolution Problems | 2.1 Contributo in volume (Capitolo o Saggio) | 2021 | Pragliola, Monica; Calatroni, Luca; Lanza, Alessandro; Sgallari, Fiorella | |
Space-Adaptive Anisotropic Bivariate Laplacian Regularization for Image Restoration | 2.1 Contributo in volume (Capitolo o Saggio) | 2019 | Calatroni, L.; Lanza, A.; Pragliola, M.; Sgallari, F. | |
Adaptive parameter selection for weighted-TV image reconstruction problems | 2.1 Contributo in volume (Capitolo o Saggio) | 2020 | Calatroni, L.; Lanza, A.; Pragliola, M.; Sgallari, F. | |
Inducing sparsity via the horseshoe prior in imaging problems | 1.1 Articolo in rivista | 2023 | Dong, Yiqiu; Pragliola, Monica | |
Masked unbiased principles for parameter selection in variational image restoration under Poisson noise | 1.1 Articolo in rivista | 2023 | Bevilacqua, Francesca; Lanza, Alessandro; Pragliola, Monica; Sgallari, Fiorella | |
Speckle noise removal via learned variational models | 1.1 Articolo in rivista | 2024 | Cuomo, S.; De Rosa, M.; Izzo, S.; Piccialli, F.; Pragliola, M. | |
Insights on the different convergences in Extreme Learning Machine | 1.1 Articolo in rivista | 2024 | De Falco, Davide Elia; Calabrò, Francesco; Pragliola, Monica | |
An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023 | 1.1 Articolo in rivista | 2024 | Pragliola, Monica; Calvetti, Daniela; Somersalo, Erkki |