Luca Zanni

Orcid: 0000-0001-9471-9128

According to our database1, Luca Zanni authored at least 39 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A stochastic gradient method with variance control and variable learning rate for Deep Learning.
J. Comput. Appl. Math., 2024

2023
Hybrid limited memory gradient projection methods for box-constrained optimization problems.
Comput. Optim. Appl., 2023

Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods.
Proceedings of the Optimization and Learning - 6th International Conference, 2023

2021
Variable metric techniques for forward-backward methods in imaging.
J. Comput. Appl. Math., 2021

2020
Ritz-like values in steplength selections for stochastic gradient methods.
Soft Comput., 2020

Spectral Properties of Barzilai-Borwein Rules in Solving Singly Linearly Constrained Optimization Problems Subject to Lower and Upper Bounds.
SIAM J. Optim., 2020

A Transdisciplinary digital approach for tractor's human-centred design.
Int. J. Comput. Integr. Manuf., 2020

Steplength and Mini-batch Size Selection in Stochastic Gradient Methods.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019
Steplength selection in gradient projection methods for box-constrained quadratic programs.
Appl. Math. Comput., 2019

On the Steplength Selection in Stochastic Gradient Methods.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019

A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019

2018
Reconstruction of 3D X-ray CT images from reduced sampling by a scaled gradient projection algorithm.
Comput. Optim. Appl., 2018

On the steplength selection in gradient methods for unconstrained optimization.
Appl. Math. Comput., 2018

Digital Manufacturing and Virtual Reality for Tractors' Human-Centred Design.
Proceedings of the Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0, 2018

Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy.
Proceedings of the Intelligent Systems Design and Applications, 2018

2016
Phase estimation in differential-interference-contrast (DIC) microscopy.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring.
J. Sci. Comput., 2015

Numerical Methods for Parameter Estimation in Poisson Data Inversion.
J. Math. Imaging Vis., 2015

Limited-memory scaled gradient projection methods for real-time image deconvolution in microscopy.
Commun. Nonlinear Sci. Numer. Simul., 2015

2013
A practical use of regularization for supervised learning with kernel methods.
Pattern Recognit. Lett., 2013

Scaling techniques for gradient projection-type methods in astronomical image deblurring.
Int. J. Comput. Math., 2013

Guest editorial.
Comput. Optim. Appl., 2013

ML estimation of wavelet regularization hyperparameters in inverse problems.
Proceedings of the IEEE International Conference on Acoustics, 2013

2011
A regularization algorithm for decoding perceptual temporal profiles from fMRI data.
NeuroImage, 2011

2010
Iterative regularization algorithms for constrained image deblurring on graphics processors.
J. Glob. Optim., 2010

2009
Gradient projection methods for image deblurring and denoising on graphics processors.
Proceedings of the Parallel Computing: From Multicores and GPU's to Petascale, 2009

From BOLD-fMRI signals to the prediction of subjective pain perception through a regularization algorithm.
Proceedings of the 17th European Signal Processing Conference, 2009

Gradient projection approaches for optimization problems in image deblurring and denoising.
Proceedings of the 17th European Signal Processing Conference, 2009

2006
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems.
J. Mach. Learn. Res., 2006

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

2005
Gradient projection methods for quadratic programs and applications in training support vector machines.
Optim. Methods Softw., 2005

On the working set selection in gradient projection-based decomposition techniques for support vector machines.
Optim. Methods Softw., 2005

Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2005

2003
A parallel solver for large quadratic programs in training support vector machines.
Parallel Comput., 2003

Parallel Decomposition Approaches for Training Support Vector Machines.
Proceedings of the Parallel Computing: Software Technology, 2003

2000
On the Stability of the Direct Elimination Method for Equality Constrained Least Squares Problems.
Computing, 2000

1998
A minimization method for the solution of large symmetriric eigenproblems.
Int. J. Comput. Math., 1998

1997
Splitting methods for quadratic optimization in data analysis.
Int. J. Comput. Math., 1997

Error Analysis of an Algorithm for Equality-Constrained Quadratic Programming Problems.
Computing, 1997


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