Serena Crisci

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 12

Top Topics

Lower And Upper Bounds

Constrained Optimization Problems

Top Venues

Appl. Math. Comput.

Publications

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)
Serena Crisci, Valentina De Simone, Marco Viola
On the Adaptive Penalty Parameter Selection in ADMM. Algorithms 16 (6) (2023)
Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni
Hybrid limited memory gradient projection methods for box-constrained optimization problems. Comput. Optim. Appl. 84 (1) (2023)
Giacomo Cabri, Serena Crisci, Manuela Montangero
Traffic Flow Modelling When Autonomous Vehicles Coexist with Human Driven Vehicles: Perspectives and Challenges. IDC (2021)
Serena Crisci, Michele Piana, Valeria Ruggiero, Mara Scussolini
A Regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data. SIAM J. Imaging Sci. 14 (1) (2021)
Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni
Spectral Properties of Barzilai-Borwein Rules in Solving Singly Linearly Constrained Optimization Problems Subject to Lower and Upper Bounds. SIAM J. Optim. 30 (2) (2020)
Serena Crisci, Jakub Kruzík, Marek Pecha, David Horák
Comparison of active-set and gradient projection-based algorithms for box-constrained quadratic programming. Soft Comput. 24 (23) (2020)
Serena Crisci, Michele Piana, Valeria Ruggiero, Mara Scussolini
Computational approaches for parametric imaging of dynamic PET data. CoRR (2019)
Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni
A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems. NUMTA(1) (2019)
Serena Crisci, Valeria Ruggiero, Luca Zanni
Steplength selection in gradient projection methods for box-constrained quadratic programs. Appl. Math. Comput. 356 (2019)
Rosanna Campagna, Serena Crisci, Salvatore Cuomo, Livia Marcellino, Gerardo Toraldo
Modification of TV-ROF denoising model based on Split Bregman iterations. Appl. Math. Comput. 315 (2017)
Salvatore Cuomo, Rosanna Campagna, Pasquale De Michele, Aniello Murano, Serena Crisci, Ardelio Galletti, Livia Marcellino
A novel Split Bregman algorithm for MRI denoising task in an e-Health system. PETRA (2016)