Luca Zanni - RankMe

42 papers Misc 1Journal 27Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can machine learning help in solving the pallet loading optimization problem? J. Heuristics Mauro Dell'Amico, Giorgia Franchini, Matteo Magnani, Luca Zanni
2024	J	`jnl`	A stochastic gradient method with variance control and variable learning rate for Deep Learning. J. Comput. Appl. Math. Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
2023	—	`conf`	A Machine Learning Approach to Speed up the Solution of the Distributor's Pallet Loading Problem. NUMTA (1) Matteo Magnani, Giorgia Franchini, Mauro Dell'Amico, Luca Zanni
2023	—	`conf`	Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods. OLA Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
2023	J	`jnl`	Hybrid limited memory gradient projection methods for box-constrained optimization problems. Comput. Optim. Appl. Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni
2023	—	`conf`	Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance. NUMTA (1) Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
2021	J	`jnl`	Variable metric techniques for forward-backward methods in imaging. J. Comput. Appl. Math. Silvia Bonettini, Federica Porta, Valeria Ruggiero, Luca Zanni
2020	J	`jnl`	A Transdisciplinary digital approach for tractor's human-centred design. Int. J. Comput. Integr. Manuf. Fabio Grandi, Luca Zanni, Margherita Peruzzini, Marcello Pellicciari, Claudia Elisabetta Campanella
2020	J	`jnl`	Ritz-like values in steplength selections for stochastic gradient methods. Soft Comput. Giorgia Franchini, Valeria Ruggiero, Luca Zanni
2020	J	`jnl`	Spectral Properties of Barzilai-Borwein Rules in Solving Singly Linearly Constrained Optimization Problems Subject to Lower and Upper Bounds. SIAM J. Optim. Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni
2020	—	`conf`	Steplength and Mini-batch Size Selection in Stochastic Gradient Methods. LOD (2) Giorgia Franchini, Valeria Ruggiero, Luca Zanni
2019	—	`conf`	A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems. NUMTA(1) Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni
2019	—	`conf`	On the Steplength Selection in Stochastic Gradient Methods. NUMTA(1) Giorgia Franchini, Valeria Ruggiero, Luca Zanni
2019	J	`jnl`	Steplength selection in gradient projection methods for box-constrained quadratic programs. Appl. Math. Comput. Serena Crisci, Valeria Ruggiero, Luca Zanni
2018	—	`conf`	Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy. ISDA (2) Giorgia Franchini, Paolo Burgio, Luca Zanni
2018	—	`conf`	Digital Manufacturing and Virtual Reality for Tractors' Human-Centred Design. TE Fabio Grandi, Margherita Peruzzini, Luca Zanni, Claudia Elisabetta Campanella, Marcello Pellicciari
2018	J	`jnl`	On the steplength selection in gradient methods for unconstrained optimization. Appl. Math. Comput. Daniela di Serafino, Valeria Ruggiero, Gerardo Toraldo, Luca Zanni
2018	J	`jnl`	Reconstruction of 3D X-ray CT images from reduced sampling by a scaled gradient projection algorithm. Comput. Optim. Appl. E. Loli Piccolomini, Vanna Lisa Coli, Elena Morotti, Luca Zanni
2016	—	`conf`	Phase estimation in differential-interference-contrast (DIC) microscopy. ISBI Lola Bautista, Simone Rebegoldi, Laure Blanc-Féraud, Marco Prato, Luca Zanni, Arturo Plata
2015	J	`jnl`	A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring. J. Sci. Comput. Federica Porta, Marco Prato, Luca Zanni
2015	J	`jnl`	Limited-memory scaled gradient projection methods for real-time image deconvolution in microscopy. Commun. Nonlinear Sci. Numer. Simul. Federica Porta, Riccardo Zanella, Gaetano Zanghirati, Luca Zanni
2015	J	`jnl`	Numerical Methods for Parameter Estimation in Poisson Data Inversion. J. Math. Imaging Vis. Luca Zanni, Alessandro Benfenati, Mario Bertero, Valeria Ruggiero
2013	J	`jnl`	A practical use of regularization for supervised learning with kernel methods. Pattern Recognit. Lett. Marco Prato, Luca Zanni
2013	J	`jnl`	Guest editorial. Comput. Optim. Appl. Mario Bertero, Valeria Ruggiero, Luca Zanni
2013	Misc	`conf`	ML estimation of wavelet regularization hyperparameters in inverse problems. ICASSP Roberto Cavicchioli, Caroline Chaux, Laure Blanc-Féraud, Luca Zanni
2013	J	`jnl`	Scaling techniques for gradient projection-type methods in astronomical image deblurring. Int. J. Comput. Math. Silvia Bonettini, Germana Landi, E. Loli Piccolomini, Luca Zanni
2011	J	`jnl`	A regularization algorithm for decoding perceptual temporal profiles from fMRI data. NeuroImage Marco Prato, Stefania Favilla, Luca Zanni, Carlo A. Porro, Patrizia Baraldi
2010	J	`jnl`	Iterative regularization algorithms for constrained image deblurring on graphics processors. J. Glob. Optim. Valeria Ruggiero, Thomas Serafini, Riccardo Zanella, Luca Zanni
2009	—	`conf`	From BOLD-fMRI signals to the prediction of subjective pain perception through a regularization algorithm. EUSIPCO Marco Prato, Stefania Favilla, Patrizia Baraldi, Carlo A. Porro, Luca Zanni
2009	—	`conf`	Gradient projection approaches for optimization problems in image deblurring and denoising. EUSIPCO Silvia Bonettini, Federico Benvenuto, Riccardo Zanella, Luca Zanni, Mario Bertero
2009	—	`conf`	Gradient projection methods for image deblurring and denoising on graphics processors. PARCO Thomas Serafini, Riccardo Zanella, Luca Zanni
2006	J	`jnl`	An Improved Gradient Projection-based Decomposition Technique for Support Vector Machines. Comput. Manag. Sci. Luca Zanni
2006	J	`jnl`	Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems. J. Mach. Learn. Res. Luca Zanni, Thomas Serafini, Gaetano Zanghirati
2005	J	`jnl`	Gradient projection methods for quadratic programs and applications in training support vector machines. Optim. Methods Softw. Thomas Serafini, Gaetano Zanghirati, Luca Zanni
2005	J	`jnl`	On the working set selection in gradient projection-based decomposition techniques for support vector machines. Optim. Methods Softw. Thomas Serafini, Luca Zanni
2005	—	`conf`	Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines. PVM/MPI Thomas Serafini, Luca Zanni, Gaetano Zanghirati
2003	J	`jnl`	A parallel solver for large quadratic programs in training support vector machines. Parallel Comput. Gaetano Zanghirati, Luca Zanni
2003	—	`conf`	Parallel Decomposition Approaches for Training Support Vector Machines. PARCO Thomas Serafini, Gaetano Zanghirati, Luca Zanni
2000	J	`jnl`	On the Stability of the Direct Elimination Method for Equality Constrained Least Squares Problems. Computing Emanuele Galligani, Luca Zanni
1998	J	`jnl`	A minimization method for the solution of large symmetriric eigenproblems. Int. J. Comput. Math. Emanuele Galligani, Valeria Ruggiero, Luca Zanni
1997	J	`jnl`	Error Analysis of an Algorithm for Equality-Constrained Quadratic Programming Problems. Computing Emanuele Galligani, Luca Zanni
1997	J	`jnl`	Splitting methods for quadratic optimization in data analysis. Int. J. Comput. Math. Emanuele Galligani, Valeria Ruggiero, Luca Zanni