Marcello Sanguineti

117 papers A* 1B 4C 10Misc 1Journal 64Unranked 29
YearRankTypeTitle / Venue / Authors
2026 — ed.
Artificial Neural Networks and Machine Learning - ICANN 2025 - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part I
ICANN (1)
Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor K. Jirsa, Yoshua Bengio
2026 — ed.
Artificial Neural Networks and Machine Learning - ICANN 2025 - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part II
ICANN (2)
Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor K. Jirsa, Yoshua Bengio
2026 — ed.
Artificial Neural Networks and Machine Learning - ICANN 2025 - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part III
ICANN (3)
Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor K. Jirsa, Yoshua Bengio
2026 — ed.
Artificial Neural Networks and Machine Learning - ICANN 2025 - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part IV
ICANN (4)
Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor K. Jirsa, Yoshua Bengio
2026 — ed.
Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part V
ICANN (5)
Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor K. Jirsa, Yoshua Bengio
2025 J jnl
Adaptive dipole-like parameter calibration of complex black-box continuous processes.
Comput. Optim. Appl.
Avi Herbon, Mauro Gaggero, Eugene Khmelnitsky, Marcello Sanguineti
2025 — conf
Classification of Large Data Sets by Neural Networks: A Probabilistic Viewpoint.
ICANN (1)
Vera Kurková, Marcello Sanguineti
2025 — conf
Diffusion Control of Wildland Fire via a Cooperative Game-Theoretic Model.
GAMENETS
Patrizia Bagnerini, Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti
2025 J jnl
Networks with Finite VC Dimension: Pro and Contra.
CoRR
Vera Kurková, Marcello Sanguineti
2024 J jnl
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications.
IEEE Trans. Neural Networks Learn. Syst.
Ming Li, Alessio Micheli, Yu Guang Wang, Shirui Pan, Pietro Lió, Giorgio Stefano Gnecco, Marcello Sanguineti
2024 — ed.
Intelligent Technologies for Interactive Entertainment - 14th EAI International Conference, INTETAIN 2023, Lucca, Italy, November 27, 2023, Proceedings
INTETAIN
Martin Clayton, Mauro Passacantando, Marcello Sanguineti
2023 J jnl
Approximation of classifiers by deep perceptron networks.
Neural Networks
Vera Kurková, Marcello Sanguineti
2022 J jnl
A game-theoretic approach for reliability evaluation of public transportation transfers with stochastic features.
EURO J. Transp. Logist.
Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
2022 J jnl
An efficient combined local and global search strategy for optimization of parallel kinematic mechanisms with joint limits and collision constraints.
CoRR
Durgesh Haribhau Salunkhe, Guillaume Michel, Shivesh Kumar, Marcello Sanguineti, Damien Chablat
2022 Misc conf
Deeper Insights into Neural Nets with Random Weights.
AI
Ming Li, Giorgio Gnecco, Marcello Sanguineti
2021 J jnl
Braess' paradox: A cooperative game-theoretic point of view.
Networks
Mauro Passacantando, Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
2021 J jnl
Correlations of random classifiers on large data sets.
Soft Comput.
Vera Kurková, Marcello Sanguineti
2021 J jnl
Special Issue Optimization for Machine Learning Guest Editorial.
Soft Comput.
Marcello Sanguineti, Elena Tànfani
2020 — conf
A Computational Method to Automatically Detect the Perceived Origin of Full-Body Human Movement and its Propagation.
ICMI Companion
Olga Matthiopoulou, Benoît G. Bardy, Giorgio Gnecco, Denis Mottet, Marcello Sanguineti, Antonio Camurri
2020 J jnl
Automated Analysis of the Origin of Movement: An Approach Based on Cooperative Games on Graphs.
IEEE Trans. Hum. Mach. Syst.
Ksenia Kolykhalova, Giorgio Gnecco, Marcello Sanguineti, Gualtiero Volpe, Antonio Camurri
2020 J jnl
Transboundary pollution control and environmental absorption efficiency management.
Ann. Oper. Res.
Fouad El Ouardighi, Konstantin Kogan, Giorgio Gnecco, Marcello Sanguineti
2019 J jnl
Classification by Sparse Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Vera Kurková, Marcello Sanguineti
2019 — conf
On the Optimal Selection of Motors and Transmissions for a Back-Support Exoskeleton.
CBS
Erfan Shojaei Barjuei, Mohammad Mahdi Ghazaei Ardakani, Darwin G. Caldwell, Marcello Sanguineti, Jesús Ortiz
2019 — conf
Probabilistic Bounds for Binary Classification of Large Data Sets.
INNSBDDL
Vera Kurková, Marcello Sanguineti
2019 J jnl
Some properties of transportation network cooperative games.
Networks
Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
2018 J jnl
Neural approximations in discounted infinite-horizon stochastic optimal control problems.
Eng. Appl. Artif. Intell.
Giorgio Gnecco, Marcello Sanguineti
2018 — conf
Probabilistic Bounds on Complexity of Networks Computing Binary Classification Tasks.
ITAT
Vera Kurková, Marcello Sanguineti
2017 J jnl
A theoretical analysis of buffer occupancy for Intermittently-Connected Networks.
Perform. Evaluation
Luca Boero, Marco Cello, Giorgio Gnecco, Mario Marchese, Fabio Patrone, Marcello Sanguineti
2017 — conf
Graph-restricted game approach for investigating human movement qualities.
MOCO
Ksenia Kolykhalova, Giorgio Gnecco, Marcello Sanguineti, Antonio Camurri, Gualtiero Volpe
2017 J jnl
LQG Online Learning.
Neural Comput.
Giorgio Gnecco, Alberto Bemporad, Marco Gori, Marcello Sanguineti
2017 J jnl
Probabilistic lower bounds for approximation by shallow perceptron networks.
Neural Networks
Vera Kurková, Marcello Sanguineti
2017 J jnl
Supervised and semi-supervised classifiers for the detection of flood-prone areas.
Soft Comput.
Giorgio Gnecco, Rita Morisi, Giorgio Roth, Marcello Sanguineti, Angela Celeste Taramasso
2016 B conf
Learning with hard constraints as a limit case of learning with soft constraints.
ESANN
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
2016 J jnl
Model complexities of shallow networks representing highly varying functions.
Neurocomputing
Vera Kurková, Marcello Sanguineti
2015 J jnl
A Multimodal Dataset for the Analysis of Movement Qualities in Karate Martial Art.
EAI Endorsed Trans. Collab. Comput.
Ksenia Kolykhalova, Antonio Camurri, Gualtiero Volpe, Marcello Sanguineti, Enrico Puppo, Radoslaw Niewiadomski
2015 — conf
A multimodal dataset for the analysis of movement qualities in karate martial art.
INTETAIN
Ksenia Kolykhalova, Antonio Camurri, Gualtiero Volpe, Marcello Sanguineti, Enrico Puppo, Radoslaw Niewiadomski
2015 J jnl
Foundations of Support Constraint Machines.
Neural Comput.
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
2015 J jnl
Learning With Mixed Hard/Soft Pointwise Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
2015 J jnl
Narrowing the Search for Optimal Call-Admission Policies Via a Nonlinear Stochastic Knapsack Model.
J. Optim. Theory Appl.
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
2015 — conf
Online learning as an LQG optimal control problem with random matrices.
ECC
Giorgio Gnecco, Alberto Bemporad, Marco Gori, Rita Morisi, Marcello Sanguineti
2014 J jnl
A theoretical framework for supervised learning from regions.
Neurocomputing
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
2014 J jnl
Approximate dynamic programming for stochastic
Comput. Optim. Appl.
Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti
2014 C conf
Complexity of Shallow Networks Representing Functions with Large Variations.
ICANN
Vera Kurková, Marcello Sanguineti
2014 J jnl
Evaluation of the Average Packet Delivery Delay in Highly-Disrupted Networks: The DTN and IP-like Protocol Cases.
IEEE Commun. Lett.
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
2014 J jnl
On the detection of the level of attention in an orchestra through head movements.
Int. J. Arts Technol.
Giorgio Gnecco, Donald Glowinski, Antonio Camurri, Marcello Sanguineti
2013 — ch.
Approximating Multivariable Functions by Feedforward Neural Nets.
Handbook on Neural Information Processing
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2013 — conf
Can Two Hidden Layers Make a Difference?
ICANNGA
Vera Kurková, Marcello Sanguineti
2013 J jnl
Dynamic Programming and Value-Function Approximation in Sequential Decision Problems: Error Analysis and Numerical Results.
J. Optim. Theory Appl.
Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti
2013 J jnl
Learning with Boundary Conditions.
Neural Comput.
Giorgio Gnecco, Marco Gori, Marcello Sanguineti
2013 C conf
Learning with Hard Constraints.
ICANN
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
2013 J jnl
Optimality Conditions for Coordinate-Convex Policies in CAC With Nonlinear Feasibility Boundaries.
IEEE/ACM Trans. Netw.
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
2013 C conf
Towards Automated Analysis of Joint Music Performance in the Orchestra.
ArtsIT
Giorgio Gnecco, Leonardo Badino, Antonio Camurri, Alessandro D'Ausilio, Luciano Fadiga, Donald Glowinski, Marcello Sanguineti, Giovanna Varni, Gualtiero Volpe
2012 J jnl
A Model of Buffer Occupancy for ICNs.
IEEE Commun. Lett.
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
2012 J jnl
Accuracy of approximations of solutions to Fredholm equations by kernel methods.
Appl. Math. Comput.
Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
2012 — conf
An application to two-hop forwarding of a model of buffer occupancy in ICNs.
SoSE
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
2012 — conf
Approximation structures with moderate complexity in functional optimization and dynamic programming.
CDC
Mauro Gaggero, Giorgio Gnecco, Thomas Parisini, Marcello Sanguineti, Riccardo Zoppoli
2012 J jnl
Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks.
IEEE Trans. Inf. Theory
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2012 J jnl
New insights into Witsenhausen's counterexample.
Optim. Lett.
Giorgio Gnecco, Marcello Sanguineti
2012 J jnl
Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure.
SIAM J. Optim.
Giorgio Gnecco, Marcello Sanguineti, Mauro Gaggero
2011 C conf
A Generalized Stochastic Knapsack Problem with Application in Call Admission Control.
CTW
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
2011 — conf
Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks.
ICANN (1)
Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
2011 J jnl
CAC with Nonlinearly-Constrained Feasibility Regions.
IEEE Commun. Lett.
Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti
2011 J jnl
Can dictionary-based computational models outperform the best linear ones?
Neural Networks
Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
2011 J jnl
On a Variational Norm Tailored to Variable-Basis Approximation Schemes.
IEEE Trans. Inf. Theory
Giorgio Gnecco, Marcello Sanguineti
2011 J jnl
Some comparisons of complexity in dictionary-based and linear computational models.
Neural Networks
Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
2011 A* conf
Structural properties of optimal coordinate-convex policies for CAC with nonlinearly-constrained feasibility regions.
INFOCOM
Mario Marchese, Marco Cello, Giorgio Gnecco, Marcello Sanguineti
2011 J jnl
Team optimization problems with Lipschitz continuous strategies.
Optim. Lett.
Giorgio Gnecco, Marcello Sanguineti
2010 J jnl
Error bounds for suboptimal solutions to kernel principal component analysis.
Optim. Lett.
Giorgio Gnecco, Marcello Sanguineti
2010 J jnl
Guest editorial.
Comput. Oper. Res.
Enza Messina, Marcello Sanguineti
2010 J jnl
Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling.
Comput. Optim. Appl.
Marco Baglietto, Cristiano Cervellera, Marcello Sanguineti, Riccardo Zoppoli
2010 J jnl
Minimizing Sequences for a Family of Functional Optimal Estimation Problems.
J. Optim. Theory Appl.
Angelo Alessandri, Giorgio Gnecco, Marcello Sanguineti
2010 J jnl
On spectral windows in supervised learning from data.
Inf. Process. Lett.
Giorgio Gnecco, Marcello Sanguineti
2010 J jnl
Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data.
Neural Comput.
Giorgio Gnecco, Marcello Sanguineti
2010 B conf
Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations.
SOFSEM
Giorgio Gnecco, Marcello Sanguineti
2010 — conf
Some Comparisons of Model Complexity in Linear and Neural-Network Approximation.
ICANN (3)
Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
2009 J jnl
Accuracy of suboptimal solutions to kernel principal component analysis.
Comput. Optim. Appl.
Giorgio Gnecco, Marcello Sanguineti
2009 J jnl
Complexity of Gaussian-radial-basis networks approximating smooth functions.
J. Complex.
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2009 J jnl
Guest Editorial.
Comput. Manag. Sci.
O. Erhun Kundakcioglu, Marcello Sanguineti, Theodore B. Trafalis
2009 — conf
On Tractability of Neural-Network Approximation.
ICANNGA
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2009 — ch.
Regularization and Suboptimal Solutions in Learning from Data.
Innovations in Neural Information Paradigms and Applications
Giorgio Gnecco, Marcello Sanguineti
2009 J jnl
The extended Ritz method for functional optimization: overview and applications to single-person and team optimal decision problems.
Optim. Methods Softw.
Marco Baglietto, Marcello Sanguineti, Riccardo Zoppoli
2009 J jnl
The weight-decay technique in learning from data: an optimization point of view.
Comput. Manag. Sci.
Giorgio Gnecco, Marcello Sanguineti
2008 J jnl
Approximate Minimization of the Regularized Expected Error over Kernel Models.
Math. Oper. Res.
Vera Kurková, Marcello Sanguineti
2008 B conf
Geometric Rates of Approximation by Neural Networks.
SOFSEM
Vera Kurková, Marcello Sanguineti
2008 J jnl
Geometric Upper Bounds on Rates of Variable-Basis Approximation.
IEEE Trans. Inf. Theory
Vera Kurková, Marcello Sanguineti
2007 J jnl
A recursive algorithm for nonlinear least-squares problems.
Comput. Optim. Appl.
Angelo Alessandri, Marta Cuneo, S. Pagnan, Marcello Sanguineti
2007 J jnl
Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming.
IEEE Trans. Neural Networks
Angelo Alessandri, Cristiano Cervellera, Marcello Sanguineti
2007 — conf
Estimates of Approximation Rates by Gaussian Radial-Basis Functions.
ICANNGA (2)
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2007 J jnl
Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets.
Discret. Appl. Math.
Vera Kurková, Marcello Sanguineti
2006 — conf
Design of Parameterized State Observers and Controllers for a Class of Nonlinear Continuous-Time Systems.
CDC
Angelo Alessandri, Cristiano Cervellera, Danilo Macciò, Marcello Sanguineti
2005 C conf
An approximate solution to optimal L
ACC
Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia, Marcello Sanguineti
2005 J jnl
Error Estimates for Approximate Optimization by the Extended Ritz Method.
SIAM J. Optim.
Vera Kurková, Marcello Sanguineti
2005 J jnl
Learning with generalization capability by kernel methods of bounded complexity.
J. Complex.
Vera Kurková, Marcello Sanguineti
2005 J jnl
Optimization of approximating networks for optimal fault diagnosis.
Optim. Methods Softw.
Angelo Alessandri, Marcello Sanguineti
2005 J jnl
Rates of Minimization of Error Functionals over Boolean Variable-Basis Functions.
J. Math. Model. Algorithms
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2004 C conf
Design of observers for continuous-time nonlinear systems using neural networks.
ACC
Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia, Marcello Sanguineti
2004 J jnl
Minimization of Error Functionals over Variable-Basis Functions.
SIAM J. Optim.
Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2003 — conf
EKF learning for feedforward neural networks.
ECC
Angelo Alessandri, G. Cirimele, Marta Cuneo, S. Pagnan, Marcello Sanguineti
2003 — conf
Neural network learning as approximate optimization.
ICANNGA
Vera Kurková, Marcello Sanguineti
2003 — conf
On the convergence of EKF-based parameters optimization for neural networks.
CDC
Angelo Alessandri, Marta Cuneo, S. Pagnan, Marcello Sanguineti
2002 C conf
Batch-mode identification of black-box models using feedforward neural networks.
ACC
Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore
2002 J jnl
Comparison of worst case errors in linear and neural network approximation.
IEEE Trans. Inf. Theory
Vera Kurková, Marcello Sanguineti
2002 J jnl
Optimization-based learning with bounded error for feedforward neural networks.
IEEE Trans. Neural Networks
Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore
2002 — conf
Optimized feedforward neural networks for on-line identification of nonlinear models.
CDC
Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore
2001 J jnl
Bounds on rates of variable-basis and neural-network approximation.
IEEE Trans. Inf. Theory
Vera Kurková, Marcello Sanguineti
2001 — conf
Can we cope with the curse of dimensionality in optimal control by using neural approximators?
CDC
Riccardo Zoppoli, Marcello Sanguineti, Thomas Parisini
2001 C conf
L
ACC
Angelo Alessandri, Marcello Sanguineti
2001 — conf
On the design of approximate state estimators for nonlinear systems.
CDC
Angelo Alessandri, Marcello Sanguineti
2001 — conf
PF-stable estimators for nonlinear systems.
ECC
Angelo Alessandri, Marcello Sanguineti
2001 C conf
Tight Bounds on Rates of Neural-Network Approximation.
ICANN
Vera Kurková, Marcello Sanguineti
2000 C conf
Approximating networks, dynamic programming and stochastic approximation.
ACC
Marco Baglietto, Cristiano Cervellera, Thomas Parisini, Marcello Sanguineti, N. Zoppoli
2000 — conf
Comparison of Rates of Linear and Neural Network Approximation.
IJCNN (1)
Vera Kurková, Marcello Sanguineti
2000 — conf
On Dimension-Independent Approximation by Neural Networks and Linear Approximators.
IJCNN (1)
Saverio Giulini, Marcello Sanguineti
2000 — conf
On estimators for nonlinear systems in L
CDC
Angelo Alessandri, Marcello Sanguineti
1999 — conf
Some Comparisons Between Linear Approximation and Approximation by Neural Networks.
ICANNGA
Marcello Sanguineti, Katerina Hlavácková-Schindler
1998 — conf
Algorithm of Incremental Approximation Using Variation of a Function with Respect to a Subset.
NC
Katerina Hlavácková, Marcello Sanguineti
1998 B conf
Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis.
ESANN
Angelo Alessandri, Manfredi Maggiore, Marcello Sanguineti