Giorgio Gnecco
Giorgio Gnecco
Associate Professor (with Full Professor Qualification)
Verified email at imtlucca.it - Homepage
Title
Cited by
Cited by
Year
Classifiers for the detection of flood-prone areas using remote sensed elevation data
M Degiorgis, G Gnecco, S Gorni, G Roth, M Sanguineti, AC Taramasso
Journal of hydrology 470, 302-315, 2012
822012
An efficient Self-Organizing Active Contour model for image segmentation
MM Abdelsamea, G Gnecco, MM Gaber
Neurocomputing 149, 820-835, 2015
472015
Optimal design of auxetic hexachiral metamaterials with local resonators
A Bacigalupo, M Lepidi, G Gnecco, L Gambarotta
Smart Materials and Structures 25 (5), 054009, 2016
452016
Optimal design of low-frequency band gaps in anti-tetrachiral lattice meta-materials
A Bacigalupo, G Gnecco, M Lepidi, L Gambarotta
Composites Part B: Engineering 115, 341-359, 2017
392017
Foundations of support constraint machines
G Gnecco, M Gori, S Melacci, M Sanguineti
Neural computation 27 (2), 388-480, 2015
372015
Regularization techniques and suboptimal solutions to optimization problems in learning from data
G Gnecco, M Sanguineti
Neural Computation 22 (3), 793-829, 2010
352010
Dynamic programming and value-function approximation in sequential decision problems: Error analysis and numerical results
M Gaggero, G Gnecco, M Sanguineti
Journal of Optimization Theory and Applications 156 (2), 380-416, 2013
332013
Approximation error bounds via Rademacher complexity
G Gnecco, M Sanguineti
322008
The weight-decay technique in learning from data: An optimization point of view
G Gnecco, M Sanguineti
Computational Management Science 6 (1), 53-79, 2009
302009
Suboptimal solutions to dynamic optimization problems via approximations of the policy functions
G Gnecco, M Sanguineti
Journal of Optimization Theory and Applications 146 (3), 764-794, 2010
292010
Learning with boundary conditions
G Gnecco, M Gori, M Sanguineti
Neural computation 25 (4), 1029-1106, 2013
282013
Approximate dynamic programming for stochastic N-stage optimization with application to optimal consumption under uncertainty
M Gaggero, G Gnecco, M Sanguineti
Computational Optimization and Applications 58 (1), 31-85, 2014
252014
Suboptimal solutions to team optimization problems with stochastic information structure
G Gnecco, M Sanguineti, M Gaggero
SIAM Journal on Optimization 22 (1), 212-243, 2012
232012
On a variational norm tailored to variable-basis approximation schemes
G Gnecco, M Sanguineti
IEEE Transactions on Information Theory 57 (1), 549-558, 2010
232010
Accuracy of suboptimal solutions to kernel principal component analysis
G Gnecco, M Sanguineti
Computational Optimization and Applications 42 (2), 265-287, 2009
212009
A SOM-based Chan–Vese model for unsupervised image segmentation
MM Abdelsamea, G Gnecco, MM Gaber
Soft Computing 21 (8), 2047-2067, 2017
202017
A concurrent SOM-based Chan-Vese model for image segmentation
MM Abdelsamea, G Gnecco, MM Gaber
Advances in Self-Organizing Maps and Learning Vector Quantization, 199-208, 2014
202014
Some comparisons of complexity in dictionary-based and linear computational models
G Gnecco, V Kůrková, M Sanguineti
Neural Networks 24 (2), 171-182, 2011
192011
Learning with mixed hard/soft pointwise constraints
G Gnecco, M Gori, S Melacci, M Sanguineti
IEEE transactions on neural networks and learning systems 26 (9), 2019-2032, 2014
182014
Neural Approximations for optimal control and decision
R Zoppoli, M Sanguineti, G Gnecco, T Parisini
Springer International Publishing, 2020
172020
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Articles 1–20