Error Analysis of an Algorithm for Equality-Constrained Quadratic Programming Problems. - Emanuele Galligani; Luca Zanni (Computing, 1997)

Splitting methods for quadratic optimization in data analysis. - Emanuele Galligani; Valeria Ruggiero; Luca Zanni (Int. J. Comput. Math., 1997)

A minimization method for the solution of large symmetriric eigenproblems. - Emanuele Galligani; Valeria Ruggiero; Luca Zanni (Int. J. Comput. Math., 1998)

On the Stability of the Direct Elimination Method for Equality Constrained Least Squares Problems. - Emanuele Galligani; Luca Zanni (Computing, 2000)

Parallel Decomposition Approaches for Training Support Vector Machines. - Thomas Serafini; Gaetano Zanghirati; Luca Zanni (PARCO, 2003)

A parallel solver for large quadratic programs in training support vector machines. - Gaetano Zanghirati; Luca Zanni (Parallel Comput., 2003)

Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines. - Thomas Serafini; Luca Zanni; Gaetano Zanghirati (PVM/MPI, 2005)

On the working set selection in gradient projection-based decomposition techniques for support vector machines. - Thomas Serafini; Luca Zanni (Optim. Methods Softw., 2005)

Gradient projection methods for quadratic programs and applications in training support vector machines. - Thomas Serafini; Gaetano Zanghirati; Luca Zanni (Optim. Methods Softw., 2005)

An Improved Gradient Projection-based Decomposition Technique for Support Vector Machines. - Luca Zanni (Comput. Manag. Sci., 2006)

Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems. - Luca Zanni; Thomas Serafini; Gaetano Zanghirati (J. Mach. Learn. Res., 2006)

Gradient projection approaches for optimization problems in image deblurring and denoising. - Silvia Bonettini; Federico Benvenuto; Riccardo Zanella; Luca Zanni; Mario Bertero (EUSIPCO, 2009)

From BOLD-fMRI signals to the prediction of subjective pain perception through a regularization algorithm. - Marco Prato; Stefania Favilla; Patrizia Baraldi; Carlo A. Porro; Luca Zanni (EUSIPCO, 2009)

Gradient projection methods for image deblurring and denoising on graphics processors. - Thomas Serafini; Riccardo Zanella; Luca Zanni (PARCO, 2009)

Iterative regularization algorithms for constrained image deblurring on graphics processors. - Valeria Ruggiero; Thomas Serafini; Riccardo Zanella; Luca Zanni (J. Glob. Optim., 2010)

A regularization algorithm for decoding perceptual temporal profiles from fMRI data. - Marco Prato; Stefania Favilla; Luca Zanni; Carlo A. Porro; Patrizia Baraldi (NeuroImage, 2011)

ML estimation of wavelet regularization hyperparameters in inverse problems. - Roberto Cavicchioli; Caroline Chaux; Laure Blanc-Féraud; Luca Zanni (ICASSP, 2013)

Guest editorial. - Mario Bertero; Valeria Ruggiero; Luca Zanni (Comput. Optim. Appl., 2013)

Scaling techniques for gradient projection-type methods in astronomical image deblurring. - Silvia Bonettini; Germana Landi; E. Loli Piccolomini; Luca Zanni (Int. J. Comput. Math., 2013)

A practical use of regularization for supervised learning with kernel methods. - Marco Prato; Luca Zanni (Pattern Recognit. Lett., 2013)

Limited-memory scaled gradient projection methods for real-time image deconvolution in microscopy. - Federica Porta; Riccardo Zanella; Gaetano Zanghirati; Luca Zanni (Commun. Nonlinear Sci. Numer. Simul., 2015)

Numerical Methods for Parameter Estimation in Poisson Data Inversion. - Luca Zanni; Alessandro Benfenati; Mario Bertero; Valeria Ruggiero (J. Math. Imaging Vis., 2015)

A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring. - Federica Porta; Marco Prato; Luca Zanni (J. Sci. Comput., 2015)

Phase estimation in differential-interference-contrast (DIC) microscopy. - Lola Bautista; Simone Rebegoldi; Laure Blanc-Féraud; Marco Prato; Luca Zanni; Arturo Plata (ISBI, 2016)

Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy. - Giorgia Franchini; Paolo Burgio; Luca Zanni (ISDA (2), 2018)

Digital Manufacturing and Virtual Reality for Tractors' Human-Centred Design. - Fabio Grandi 002; Margherita Peruzzini; Luca Zanni; Claudia Elisabetta Campanella; Marcello Pellicciari (TE, 2018)

On the steplength selection in gradient methods for unconstrained optimization. - Daniela di Serafino; Valeria Ruggiero; Gerardo Toraldo; Luca Zanni (Appl. Math. Comput., 2018)

Reconstruction of 3D X-ray CT images from reduced sampling by a scaled gradient projection algorithm. - E. Loli Piccolomini; Vanna Lisa Coli; Elena Morotti; Luca Zanni (Comput. Optim. Appl., 2018)

A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems. - Serena Crisci; Federica Porta; Valeria Ruggiero; Luca Zanni (NUMTA(1), 2019)

On the Steplength Selection in Stochastic Gradient Methods. - Giorgia Franchini; Valeria Ruggiero; Luca Zanni (NUMTA(1), 2019)

Steplength selection in gradient projection methods for box-constrained quadratic programs. - Serena Crisci; Valeria Ruggiero; Luca Zanni (Appl. Math. Comput., 2019)

Steplength and Mini-batch Size Selection in Stochastic Gradient Methods. - Giorgia Franchini; Valeria Ruggiero; Luca Zanni (LOD (2), 2020)

A Transdisciplinary digital approach for tractor's human-centred design. - Fabio Grandi 002; Luca Zanni; Margherita Peruzzini; Marcello Pellicciari; Claudia Elisabetta Campanella (Int. J. Comput. Integr. Manuf., 2020)

Spectral Properties of Barzilai-Borwein Rules in Solving Singly Linearly Constrained Optimization Problems Subject to Lower and Upper Bounds. - Serena Crisci; Federica Porta; Valeria Ruggiero; Luca Zanni (SIAM J. Optim., 2020)

Ritz-like values in steplength selections for stochastic gradient methods. - Giorgia Franchini; Valeria Ruggiero; Luca Zanni (Soft Comput., 2020)

Variable metric techniques for forward-backward methods in imaging. - Silvia Bonettini; Federica Porta; Valeria Ruggiero; Luca Zanni (J. Comput. Appl. Math., 2021)

Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini; Luca Zanni (NUMTA (1), 2023)

A Machine Learning Approach to Speed up the Solution of the Distributor's Pallet Loading Problem. - Matteo Magnani; Giorgia Franchini; Mauro Dell'Amico; Luca Zanni (NUMTA (1), 2023)

Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini; Luca Zanni (OLA, 2023)

Hybrid limited memory gradient projection methods for box-constrained optimization problems. - Serena Crisci; Federica Porta; Valeria Ruggiero; Luca Zanni (Comput. Optim. Appl., 2023)

A stochastic gradient method with variance control and variable learning rate for Deep Learning. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini; Luca Zanni (J. Comput. Appl. Math., 2024)