Monica Pragliola

30 papers Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A general framework for whiteness-based parameters selection in variational models. Comput. Optim. Appl. Francesca Bevilacqua, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
2025	J	`jnl`	Bilevel robust optimization approach for multi-period sparse portfolio selection. J. Comput. Appl. Math. Serena Crisci, Valentina De Simone, Monica Pragliola, Gerardo Toraldo
2025	J	`jnl`	Sparsity-promoting hierarchical Bayesian model for EIT with a blocky target. J. Comput. Phys. Daniela Calvetti, Monica Pragliola, Erkki Somersalo
2025	—	`conf`	Whiteness-Based Bilevel Estimation of Weighted TV Parameter Maps for Image Denoising. SSVM (1) Monica Pragliola, Luca Calatroni, Alessandro Lanza
2025	J	`jnl`	Whiteness-based bilevel estimation of weighted TV parameter maps for image denoising. CoRR Monica Pragliola, Luca Calatroni, Alessandro Lanza
2024	J	`jnl`	An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023. CoRR Monica Pragliola, Daniela Calvetti, Erkki Somersalo
2024	J	`jnl`	Insights on the different convergences in Extreme Learning Machine. Neurocomputing Davide Elia De Falco, Francesco Calabrò, Monica Pragliola
2024	J	`jnl`	Sparsity-promoting hierarchical Bayesian model for EIT with a blocky target. CoRR Daniela Calvetti, Monica Pragliola, Erkki Somersalo
2024	—	`conf`	Whiteness-Based Bilevel Learning of Regularization Parameters in Imaging. EUSIPCO Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni
2024	J	`jnl`	Whiteness-based bilevel learning of regularization parameters in imaging. CoRR Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni
2023	J	`jnl`	ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems. J. Math. Imaging Vis. Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2023	J	`jnl`	Bilevel learning of regularization models and their discretization for image deblurring and super-resolution. CoRR Tatiana A. Bubba, Luca Calatroni, Ambra Catozzi, Serena Crisci, Thomas Pock, Monica Pragliola, Siiri Rautio, Danilo Riccio, Andrea Sebastiani
2023	J	`jnl`	On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance. SIAM Rev. Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2022	J	`jnl`	Automatic parameter selection for the TGV regularizer in image restoration under Poisson noise. CoRR Daniela di Serafino, Monica Pragliola
2022	J	`jnl`	Nearly Exact Discrepancy Principle for Low-Count Poisson Image Restoration. J. Imaging Francesca Bevilacqua, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
2022	J	`jnl`	Whiteness-based parameter selection for Poisson data in variational image processing. CoRR Francesca Bevilacqua, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
2021	J	`jnl`	ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems. CoRR Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2021	J	`jnl`	On and beyond Total Variation regularisation in imaging: the role of space variance. CoRR Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2021	—	`conf`	Residual Whiteness Principle for Automatic Parameter Selection in ℓ SSVM Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2021	J	`jnl`	Residual whiteness principle for automatic parameter selection in 𝓁 CoRR Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2020	J	`jnl`	Overcomplete representation in a hierarchical Bayesian framework. CoRR Monica Pragliola, Daniela Calvetti, Erkki Somersalo
2020	J	`jnl`	Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems. SIAM J. Sci. Comput. Daniela Calvetti, Monica Pragliola, Erkki Somersalo
2020	J	`jnl`	Sparsity promoting hybrid solvers for hierarchical Bayesian inverse problems. CoRR Daniela Calvetti, Monica Pragliola, Erkki Somersalo
2019	J	`jnl`	A Flexible Space-Variant Anisotropic Regularization for Image Restoration with Automated Parameter Selection. SIAM J. Imaging Sci. Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
2019	J	`jnl`	Space-adaptive anisotropic bivariate Laplacian regularization for image restoration. CoRR Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
2019	J	`jnl`	Space-variant Generalized Gaussian Regularization for Image Restoration. CoRR Alessandro Lanza, Serena Morigi, Monica Pragliola, Fiorella Sgallari
2019	J	`jnl`	Space-variant generalised Gaussian regularisation for image restoration. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Alessandro Lanza, Serena Morigi, Monica Pragliola, Fiorella Sgallari
2017	J	`jnl`	A computational scheme to predict dynamics in IoT systems by using particle filter. Concurr. Comput. Pract. Exp. Salvatore Cuomo, Pasquale De Michele, Monica Pragliola
2016	J	`jnl`	Computational issues and numerical experiments for Linear Multistep Method Particle Filtering. CoRR Daniela Calvetti, Salvatore Cuomo, Monica Pragliola, Erkki Somersalo, Gerardo Toraldo
2016	—	`conf`	Mimic Visiting Styles by Using a Statistical Approach in a Cultural Event Case Study. EUSPN/ICTH Salvatore Cuomo, Pasquale De Michele, Monica Pragliola, Gerardo Severino