Marcello Sanguineti

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 24

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Soft Comput.

Neurocomputing

Neural Networks

Publications

Ming Li, Alessio Micheli, Yu Guang Wang, Shirui Pan, Pietro Lió, Giorgio Stefano Gnecco, Marcello Sanguineti
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Vera Kurková, Marcello Sanguineti
Approximation of classifiers by deep perceptron networks. Neural Networks 165 (2023)
Durgesh Haribhau Salunkhe, Guillaume Michel, Shivesh Kumar, Marcello Sanguineti, Damien Chablat
An efficient combined local and global search strategy for optimization of parallel kinematic mechanisms with joint limits and collision constraints. CoRR (2022)
Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
A game-theoretic approach for reliability evaluation of public transportation transfers with stochastic features. EURO J. Transp. Logist. 11 (2022)
Ming Li, Giorgio Gnecco, Marcello Sanguineti
Deeper Insights into Neural Nets with Random Weights. AI (2022)
Marcello Sanguineti, Elena Tànfani
Special Issue Optimization for Machine Learning Guest Editorial. Soft Comput. 25 (19) (2021)
Mauro Passacantando, Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
Braess' paradox: A cooperative game-theoretic point of view. Networks 78 (3) (2021)
Vera Kurková, Marcello Sanguineti
Correlations of random classifiers on large data sets. Soft Comput. 25 (19) (2021)
Fouad El Ouardighi, Konstantin Kogan, Giorgio Gnecco, Marcello Sanguineti
Transboundary pollution control and environmental absorption efficiency management. Ann. Oper. Res. 287 (2) (2020)
Olga Matthiopoulou, Benoît G. Bardy, Giorgio Gnecco, Denis Mottet, Marcello Sanguineti, Antonio Camurri
A Computational Method to Automatically Detect the Perceived Origin of Full-Body Human Movement and its Propagation. ICMI Companion (2020)
Ksenia Kolykhalova, Giorgio Gnecco, Marcello Sanguineti, Gualtiero Volpe, Antonio Camurri
Automated Analysis of the Origin of Movement: An Approach Based on Cooperative Games on Graphs. IEEE Trans. Hum. Mach. Syst. 50 (6) (2020)
Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
Some properties of transportation network cooperative games. Networks 74 (2) (2019)
Vera Kurková, Marcello Sanguineti
Classification by Sparse Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30 (9) (2019)
Erfan Shojaei Barjuei, Mohammad Mahdi Ghazaei Ardakani, Darwin G. Caldwell, Marcello Sanguineti, Jesús Ortiz
On the Optimal Selection of Motors and Transmissions for a Back-Support Exoskeleton. CBS (2019)
Vera Kurková, Marcello Sanguineti
Probabilistic Bounds for Binary Classification of Large Data Sets. INNSBDDL (2019)
Vera Kurková, Marcello Sanguineti
Probabilistic Bounds on Complexity of Networks Computing Binary Classification Tasks. ITAT (2018)
Giorgio Gnecco, Marcello Sanguineti
Neural approximations in discounted infinite-horizon stochastic optimal control problems. Eng. Appl. Artif. Intell. 74 (2018)
Giorgio Gnecco, Alberto Bemporad, Marco Gori, Marcello Sanguineti
LQG Online Learning. Neural Comput. 29 (8) (2017)
Luca Boero, Marco Cello, Giorgio Gnecco, Mario Marchese, Fabio Patrone, Marcello Sanguineti
A theoretical analysis of buffer occupancy for Intermittently-Connected Networks. Perform. Evaluation 115 (2017)
Vera Kurková, Marcello Sanguineti
Probabilistic lower bounds for approximation by shallow perceptron networks. Neural Networks 91 (2017)
Giorgio Gnecco, Rita Morisi, Giorgio Roth, Marcello Sanguineti, Angela Celeste Taramasso
Supervised and semi-supervised classifiers for the detection of flood-prone areas. Soft Comput. 21 (13) (2017)
Ksenia Kolykhalova, Giorgio Gnecco, Marcello Sanguineti, Antonio Camurri, Gualtiero Volpe
Graph-restricted game approach for investigating human movement qualities. MOCO (2017)
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
Learning with hard constraints as a limit case of learning with soft constraints. ESANN (2016)
Vera Kurková, Marcello Sanguineti
Model complexities of shallow networks representing highly varying functions. Neurocomputing 171 (2016)
Ksenia Kolykhalova, Antonio Camurri, Gualtiero Volpe, Marcello Sanguineti, Enrico Puppo, Radoslaw Niewiadomski
A Multimodal Dataset for the Analysis of Movement Qualities in Karate Martial Art. EAI Endorsed Trans. Collab. Comput. 1 (4) (2015)
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
Learning With Mixed Hard/Soft Pointwise Constraints. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Giorgio Gnecco, Alberto Bemporad, Marco Gori, Rita Morisi, Marcello Sanguineti
Online learning as an LQG optimal control problem with random matrices. ECC (2015)
Ksenia Kolykhalova, Antonio Camurri, Gualtiero Volpe, Marcello Sanguineti, Enrico Puppo, Radoslaw Niewiadomski
A multimodal dataset for the analysis of movement qualities in karate martial art. INTETAIN (2015)
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
Foundations of Support Constraint Machines. Neural Comput. 27 (2) (2015)
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
Narrowing the Search for Optimal Call-Admission Policies Via a Nonlinear Stochastic Knapsack Model. J. Optim. Theory Appl. 164 (3) (2015)
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
Evaluation of the Average Packet Delivery Delay in Highly-Disrupted Networks: The DTN and IP-like Protocol Cases. IEEE Commun. Lett. 18 (3) (2014)
Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti
-stage optimization with application to optimal consumption under uncertainty. Comput. Optim. Appl. 58 (1) (2014)
Giorgio Gnecco, Donald Glowinski, Antonio Camurri, Marcello Sanguineti
On the detection of the level of attention in an orchestra through head movements. Int. J. Arts Technol. 7 (4) (2014)
Vera Kurková, Marcello Sanguineti
Complexity of Shallow Networks Representing Functions with Large Variations. ICANN (2014)
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
A theoretical framework for supervised learning from regions. Neurocomputing 129 (2014)
Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti
Dynamic Programming and Value-Function Approximation in Sequential Decision Problems: Error Analysis and Numerical Results. J. Optim. Theory Appl. 156 (2) (2013)
Vera Kurková, Marcello Sanguineti
Can Two Hidden Layers Make a Difference? ICANNGA (2013)
Giorgio Gnecco, Marco Gori, Marcello Sanguineti
Learning with Boundary Conditions. Neural Comput. 25 (4) (2013)
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
Optimality Conditions for Coordinate-Convex Policies in CAC With Nonlinear Feasibility Boundaries. IEEE/ACM Trans. Netw. 21 (5) (2013)
Giorgio Gnecco, Leonardo Badino, Antonio Camurri, Alessandro D'Ausilio, Luciano Fadiga, Donald Glowinski, Marcello Sanguineti, Giovanna Varni, Gualtiero Volpe
Towards Automated Analysis of Joint Music Performance in the Orchestra. ArtsIT (2013)
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
Learning with Hard Constraints. ICANN (2013)
Mauro Gaggero, Giorgio Gnecco, Thomas Parisini, Marcello Sanguineti, Riccardo Zoppoli
Approximation structures with moderate complexity in functional optimization and dynamic programming. CDC (2012)
Giorgio Gnecco, Marcello Sanguineti, Mauro Gaggero
Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure. SIAM J. Optim. 22 (1) (2012)
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks. IEEE Trans. Inf. Theory 58 (2) (2012)
Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
Accuracy of approximations of solutions to Fredholm equations by kernel methods. Appl. Math. Comput. 218 (14) (2012)
Giorgio Gnecco, Marcello Sanguineti
New insights into Witsenhausen's counterexample. Optim. Lett. 6 (7) (2012)
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
An application to two-hop forwarding of a model of buffer occupancy in ICNs. SoSE (2012)
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
A Model of Buffer Occupancy for ICNs. IEEE Commun. Lett. 16 (6) (2012)
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
CAC with Nonlinearly-Constrained Feasibility Regions. IEEE Commun. Lett. 15 (4) (2011)
Mario Marchese, Marco Cello, Giorgio Gnecco, Marcello Sanguineti
Structural properties of optimal coordinate-convex policies for CAC with nonlinearly-constrained feasibility regions. INFOCOM (2011)
Giorgio Gnecco, Marcello Sanguineti
Team optimization problems with Lipschitz continuous strategies. Optim. Lett. 5 (2) (2011)
Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
Can dictionary-based computational models outperform the best linear ones? Neural Networks 24 (8) (2011)
Giorgio Gnecco, Marcello Sanguineti
On a Variational Norm Tailored to Variable-Basis Approximation Schemes. IEEE Trans. Inf. Theory 57 (1) (2011)
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
A Generalized Stochastic Knapsack Problem with Application in Call Admission Control. CTW (2011)
Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
Some comparisons of complexity in dictionary-based and linear computational models. Neural Networks 24 (2) (2011)
Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks. ICANN (1) (2011)
Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
Some Comparisons of Model Complexity in Linear and Neural-Network Approximation. ICANN (3) (2010)
Angelo Alessandri, Giorgio Gnecco, Marcello Sanguineti
Minimizing Sequences for a Family of Functional Optimal Estimation Problems. J. Optim. Theory Appl. 147 (2) (2010)
Giorgio Gnecco, Marcello Sanguineti
Error bounds for suboptimal solutions to kernel principal component analysis. Optim. Lett. 4 (2) (2010)
Marco Baglietto, Cristiano Cervellera, Marcello Sanguineti, Riccardo Zoppoli
Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling. Comput. Optim. Appl. 47 (2) (2010)
Giorgio Gnecco, Marcello Sanguineti
Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations. SOFSEM (2010)
Giorgio Gnecco, Marcello Sanguineti
On spectral windows in supervised learning from data. Inf. Process. Lett. 110 (23) (2010)
Enza Messina, Marcello Sanguineti
Guest editorial. Comput. Oper. Res. 37 (8) (2010)
Giorgio Gnecco, Marcello Sanguineti
Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data. Neural Comput. 22 (3) (2010)
Marco Baglietto, Marcello Sanguineti, Riccardo Zoppoli
The extended Ritz method for functional optimization: overview and applications to single-person and team optimal decision problems. Optim. Methods Softw. 24 (1) (2009)
O. Erhun Kundakcioglu, Marcello Sanguineti, Theodore B. Trafalis
Guest Editorial. Comput. Manag. Sci. 6 (1) (2009)
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
Complexity of Gaussian-radial-basis networks approximating smooth functions. J. Complex. 25 (1) (2009)
Giorgio Gnecco, Marcello Sanguineti
Accuracy of suboptimal solutions to kernel principal component analysis. Comput. Optim. Appl. 42 (2) (2009)
Giorgio Gnecco, Marcello Sanguineti
The weight-decay technique in learning from data: an optimization point of view. Comput. Manag. Sci. 6 (1) (2009)
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
On Tractability of Neural-Network Approximation. ICANNGA (2009)
Vera Kurková, Marcello Sanguineti
Geometric Upper Bounds on Rates of Variable-Basis Approximation. IEEE Trans. Inf. Theory 54 (12) (2008)
Vera Kurková, Marcello Sanguineti
Approximate Minimization of the Regularized Expected Error over Kernel Models. Math. Oper. Res. 33 (3) (2008)
Vera Kurková, Marcello Sanguineti
Geometric Rates of Approximation by Neural Networks. SOFSEM (2008)
Angelo Alessandri, Cristiano Cervellera, Marcello Sanguineti
Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming. IEEE Trans. Neural Networks 18 (1) (2007)
Vera Kurková, Marcello Sanguineti
Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets. Discret. Appl. Math. 155 (15) (2007)
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
Estimates of Approximation Rates by Gaussian Radial-Basis Functions. ICANNGA (2) (2007)
Angelo Alessandri, Marta Cuneo, S. Pagnan, Marcello Sanguineti
A recursive algorithm for nonlinear least-squares problems. Comput. Optim. Appl. 38 (2) (2007)
Angelo Alessandri, Cristiano Cervellera, Danilo Macciò, Marcello Sanguineti
Design of Parameterized State Observers and Controllers for a Class of Nonlinear Continuous-Time Systems. CDC (2006)
Vera Kurková, Marcello Sanguineti
Learning with generalization capability by kernel methods of bounded complexity. J. Complex. 21 (3) (2005)
Vera Kurková, Marcello Sanguineti
Error Estimates for Approximate Optimization by the Extended Ritz Method. SIAM J. Optim. 15 (2) (2005)
Angelo Alessandri, Marcello Sanguineti
Optimization of approximating networks for optimal fault diagnosis. Optim. Methods Softw. 20 (2-3) (2005)
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
Rates of Minimization of Error Functionals over Boolean Variable-Basis Functions. J. Math. Model. Algorithms 4 (4) (2005)
Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia, Marcello Sanguineti
state estimation problems. ACC (2005)
Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia, Marcello Sanguineti
Design of observers for continuous-time nonlinear systems using neural networks. ACC (2004)
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
Minimization of Error Functionals over Variable-Basis Functions. SIAM J. Optim. 14 (3) (2004)
Vera Kurková, Marcello Sanguineti
Neural network learning as approximate optimization. ICANNGA (2003)
Angelo Alessandri, Marta Cuneo, S. Pagnan, Marcello Sanguineti
On the convergence of EKF-based parameters optimization for neural networks. CDC (2003)
Angelo Alessandri, G. Cirimele, Marta Cuneo, S. Pagnan, Marcello Sanguineti
EKF learning for feedforward neural networks. ECC (2003)
Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore
Optimized feedforward neural networks for on-line identification of nonlinear models. CDC (2002)
Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore
Optimization-based learning with bounded error for feedforward neural networks. IEEE Trans. Neural Networks 13 (2) (2002)
Vera Kurková, Marcello Sanguineti
Comparison of worst case errors in linear and neural network approximation. IEEE Trans. Inf. Theory 48 (1) (2002)
Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore
Batch-mode identification of black-box models using feedforward neural networks. ACC (2002)
Vera Kurková, Marcello Sanguineti
Bounds on rates of variable-basis and neural-network approximation. IEEE Trans. Inf. Theory 47 (6) (2001)
Angelo Alessandri, Marcello Sanguineti
PF-stable estimators for nonlinear systems. ECC (2001)
Angelo Alessandri, Marcello Sanguineti
-stable and asymptotic estimators for nonlinear dynamic systems. ACC (2001)
Angelo Alessandri, Marcello Sanguineti
On the design of approximate state estimators for nonlinear systems. CDC (2001)
Vera Kurková, Marcello Sanguineti
Tight Bounds on Rates of Neural-Network Approximation. ICANN (2001)
Riccardo Zoppoli, Marcello Sanguineti, Thomas Parisini
Can we cope with the curse of dimensionality in optimal control by using neural approximators? CDC (2001)
Marco Baglietto, Cristiano Cervellera, Thomas Parisini, Marcello Sanguineti, N. Zoppoli
Approximating networks, dynamic programming and stochastic approximation. ACC (2000)
Angelo Alessandri, Marcello Sanguineti
spaces. CDC (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marcello Sanguineti