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2020 – today
- 2024
[j26]Giorgia Franchini
, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni:
A stochastic gradient method with variance control and variable learning rate for Deep Learning. J. Comput. Appl. Math. 451: 116083 (2024)- 2023
- [j25]Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni:
Hybrid limited memory gradient projection methods for box-constrained optimization problems. Comput. Optim. Appl. 84(1): 151-189 (2023) - [c15]Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni:
Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance. NUMTA (1) 2023: 94-107 - [c14]Matteo Magnani, Giorgia Franchini, Mauro Dell'Amico, Luca Zanni:
A Machine Learning Approach to Speed up the Solution of the Distributor's Pallet Loading Problem. NUMTA (1) 2023: 108-120 - [c13]Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni:
Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods. OLA 2023: 21-35 - 2021
- [j24]Silvia Bonettini, Federica Porta, Valeria Ruggiero, Luca Zanni:
Variable metric techniques for forward-backward methods in imaging. J. Comput. Appl. Math. 385: 113192 (2021) - 2020
- [j23]Fabio Grandi, Luca Zanni, Margherita Peruzzini, Marcello Pellicciari, Claudia Elisabetta Campanella:
A Transdisciplinary digital approach for tractor's human-centred design. Int. J. Comput. Integr. Manuf. 33(4): 377-397 (2020) - [j22]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): 1300-1326 (2020) - [j21]Giorgia Franchini, Valeria Ruggiero, Luca Zanni:
Ritz-like values in steplength selections for stochastic gradient methods. Soft Comput. 24(23): 17573-17588 (2020) - [c12]Giorgia Franchini, Valeria Ruggiero, Luca Zanni:
Steplength and Mini-batch Size Selection in Stochastic Gradient Methods. LOD (2) 2020: 259-263
2010 – 2019
- 2019
- [j20]Serena Crisci, Valeria Ruggiero, Luca Zanni:
Steplength selection in gradient projection methods for box-constrained quadratic programs. Appl. Math. Comput. 356: 312-327 (2019) - [c11]Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni:
A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems. NUMTA(1) 2019: 161-176 - [c10]Giorgia Franchini, Valeria Ruggiero, Luca Zanni:
On the Steplength Selection in Stochastic Gradient Methods. NUMTA(1) 2019: 186-197 - 2018
- [j19]Daniela di Serafino, Valeria Ruggiero, Gerardo Toraldo, Luca Zanni:
On the steplength selection in gradient methods for unconstrained optimization. Appl. Math. Comput. 318: 176-195 (2018) - [j18]E. Loli Piccolomini, Vanna Lisa Coli, Elena Morotti, Luca Zanni:
Reconstruction of 3D X-ray CT images from reduced sampling by a scaled gradient projection algorithm. Comput. Optim. Appl. 71(1): 171-191 (2018) - [c9]Giorgia Franchini, Paolo Burgio, Luca Zanni:
Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy. ISDA (2) 2018: 1025-1034 - [c8]Fabio Grandi, Margherita Peruzzini, Luca Zanni, Claudia Elisabetta Campanella, Marcello Pellicciari:
Digital Manufacturing and Virtual Reality for Tractors' Human-Centred Design. TE 2018: 702-711 - 2016
- [c7]Lola Bautista, Simone Rebegoldi, Laure Blanc-Féraud, Marco Prato, Luca Zanni, Arturo Plata:
Phase estimation in differential-interference-contrast (DIC) microscopy. ISBI 2016: 136-139 - 2015
- [j17]Federica Porta, Riccardo Zanella, Gaetano Zanghirati, Luca Zanni:
Limited-memory scaled gradient projection methods for real-time image deconvolution in microscopy. Commun. Nonlinear Sci. Numer. Simul. 21(1-3): 112-127 (2015) - [j16]Luca Zanni, Alessandro Benfenati, Mario Bertero, Valeria Ruggiero:
Numerical Methods for Parameter Estimation in Poisson Data Inversion. J. Math. Imaging Vis. 52(3): 397-413 (2015) - [j15]Federica Porta, Marco Prato, Luca Zanni:
A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring. J. Sci. Comput. 65(3): 895-919 (2015) - 2013
- [j14]Mario Bertero, Valeria Ruggiero, Luca Zanni:
Guest editorial. Comput. Optim. Appl. 54(2): 211-213 (2013) - [j13]Silvia Bonettini, Germana Landi, E. Loli Piccolomini, Luca Zanni:
Scaling techniques for gradient projection-type methods in astronomical image deblurring. Int. J. Comput. Math. 90(1): 9-29 (2013) - [j12]Marco Prato, Luca Zanni:
A practical use of regularization for supervised learning with kernel methods. Pattern Recognit. Lett. 34(6): 610-618 (2013) - [c6]Roberto Cavicchioli, Caroline Chaux, Laure Blanc-Féraud, Luca Zanni:
ML estimation of wavelet regularization hyperparameters in inverse problems. ICASSP 2013: 1553-1557 - 2011
- [j11]Marco Prato, Stefania Favilla, Luca Zanni, Carlo A. Porro, Patrizia Baraldi:
A regularization algorithm for decoding perceptual temporal profiles from fMRI data. NeuroImage 56(1): 258-267 (2011) - 2010
- [j10]Valeria Ruggiero, Thomas Serafini, Riccardo Zanella, Luca Zanni:
Iterative regularization algorithms for constrained image deblurring on graphics processors. J. Glob. Optim. 48(1): 145-157 (2010)
2000 – 2009
- 2009
- [c5]Silvia Bonettini, Federico Benvenuto, Riccardo Zanella, Luca Zanni, Mario Bertero:
Gradient projection approaches for optimization problems in image deblurring and denoising. EUSIPCO 2009: 1384-1388 - [c4]Marco Prato, Stefania Favilla, Patrizia Baraldi, Carlo A. Porro, Luca Zanni:
From BOLD-fMRI signals to the prediction of subjective pain perception through a regularization algorithm. EUSIPCO 2009: 2332-2336 - [c3]Thomas Serafini, Riccardo Zanella, Luca Zanni:
Gradient projection methods for image deblurring and denoising on graphics processors. PARCO 2009: 59-66 - 2006
- [j9]Luca Zanni:
An Improved Gradient Projection-based Decomposition Technique for Support Vector Machines. Comput. Manag. Sci. 3(2): 131-145 (2006) - [j8]Luca Zanni, Thomas Serafini, Gaetano Zanghirati:
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems. J. Mach. Learn. Res. 7: 1467-1492 (2006) - 2005
- [j7]Thomas Serafini, Gaetano Zanghirati, Luca Zanni:
Gradient projection methods for quadratic programs and applications in training support vector machines. Optim. Methods Softw. 20(2-3): 353-378 (2005) - [j6]Thomas Serafini, Luca Zanni:
On the working set selection in gradient projection-based decomposition techniques for support vector machines. Optim. Methods Softw. 20(4-5): 583-596 (2005) - [c2]Thomas Serafini, Luca Zanni, Gaetano Zanghirati:
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines. PVM/MPI 2005: 9-17 - 2003
- [j5]Gaetano Zanghirati, Luca Zanni:
A parallel solver for large quadratic programs in training support vector machines. Parallel Comput. 29(4): 535-551 (2003) - [c1]Thomas Serafini, Gaetano Zanghirati, Luca Zanni:
Parallel Decomposition Approaches for Training Support Vector Machines. PARCO 2003: 259-266 - 2000
- [j4]Emanuele Galligani, Luca Zanni:
On the Stability of the Direct Elimination Method for Equality Constrained Least Squares Problems. Computing 64(3): 263-277 (2000)
1990 – 1999
- 1998
- [j3]Emanuele Galligani, Valeria Ruggiero, Luca Zanni:
A minimization method for the solution of large symmetriric eigenproblems. Int. J. Comput. Math. 70(1): 99-115 (1998) - 1997
- [j2]Emanuele Galligani, Luca Zanni:
Error Analysis of an Algorithm for Equality-Constrained Quadratic Programming Problems. Computing 58(1): 47-68 (1997) - [j1]Emanuele Galligani, Valeria Ruggiero, Luca Zanni:
Splitting methods for quadratic optimization in data analysis. Int. J. Comput. Math. 63(3-4): 289-307 (1997)
Coauthor Index
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