Monica Pragliola

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Hierarchical Bayesian

Parameter Selection

Particle Filtering

Inverse Problems

Top Venues

SIAM J. Imaging Sci.

Publications

Monica Pragliola, Daniela Calvetti, Erkki Somersalo
An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023. CoRR (2024)
Davide Elia De Falco, Francesco Calabrò, Monica Pragliola
Insights on the different convergences in Extreme Learning Machine. Neurocomputing 599 (2024)
Daniela Calvetti, Monica Pragliola, Erkki Somersalo
Sparsity-promoting hierarchical Bayesian model for EIT with a blocky target. CoRR (2024)
Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni
Whiteness-based bilevel learning of regularization parameters in imaging. CoRR (2024)
Tatiana A. Bubba, Luca Calatroni, Ambra Catozzi, Serena Crisci, Thomas Pock, Monica Pragliola, Siiri Rautio, Danilo Riccio, Andrea Sebastiani
Bilevel learning of regularization models and their discretization for image deblurring and super-resolution. CoRR (2023)
Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance. SIAM Rev. 65 (3) (2023)
Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems. J. Math. Imaging Vis. 65 (1) (2023)
Francesca Bevilacqua, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
Nearly Exact Discrepancy Principle for Low-Count Poisson Image Restoration. J. Imaging 8 (1) (2022)
Daniela di Serafino, Monica Pragliola
Automatic parameter selection for the TGV regularizer in image restoration under Poisson noise. CoRR (2022)
Francesca Bevilacqua, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
Whiteness-based parameter selection for Poisson data in variational image processing. CoRR (2022)
Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
Image Super-Resolution Problems. SSVM (2021)
Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
On and beyond Total Variation regularisation in imaging: the role of space variance. CoRR (2021)
Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems. CoRR (2021)
Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
image super-resolution problems. CoRR (2021)
Daniela Calvetti, Monica Pragliola, Erkki Somersalo
Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems. SIAM J. Sci. Comput. 42 (6) (2020)
Monica Pragliola, Daniela Calvetti, Erkki Somersalo
Overcomplete representation in a hierarchical Bayesian framework. CoRR (2020)
Daniela Calvetti, Monica Pragliola, Erkki Somersalo
Sparsity promoting hybrid solvers for hierarchical Bayesian inverse problems. CoRR (2020)
Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
Space-adaptive anisotropic bivariate Laplacian regularization for image restoration. CoRR (2019)
Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
A Flexible Space-Variant Anisotropic Regularization for Image Restoration with Automated Parameter Selection. SIAM J. Imaging Sci. 12 (2) (2019)
Alessandro Lanza, Serena Morigi, Monica Pragliola, Fiorella Sgallari
Space-variant Generalized Gaussian Regularization for Image Restoration. CoRR (2019)
Alessandro Lanza, Serena Morigi, Monica Pragliola, Fiorella Sgallari
Space-variant generalised Gaussian regularisation for image restoration. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7 (5-6) (2019)
Salvatore Cuomo, Pasquale De Michele, Monica Pragliola
A computational scheme to predict dynamics in IoT systems by using particle filter. Concurr. Comput. Pract. Exp. 29 (11) (2017)
Salvatore Cuomo, Pasquale De Michele, Monica Pragliola, Gerardo Severino
Mimic Visiting Styles by Using a Statistical Approach in a Cultural Event Case Study. EUSPN/ICTH (2016)
Daniela Calvetti, Salvatore Cuomo, Monica Pragliola, Erkki Somersalo, Gerardo Toraldo
Computational issues and numerical experiments for Linear Multistep Method Particle Filtering. CoRR (2016)