Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis. - Angelo Alessandri; Manfredi Maggiore; Marcello Sanguineti (ESANN, 1998)

Algorithm of Incremental Approximation Using Variation of a Function with Respect to a Subset. - Katerina Hlavácková; Marcello Sanguineti (NC, 1998)

Some Comparisons Between Linear Approximation and Approximation by Neural Networks. - Marcello Sanguineti; Katerina Hlavácková-Schindler (ICANNGA, 1999)

Approximating networks, dynamic programming and stochastic approximation. - Marco Baglietto; Cristiano Cervellera; Thomas Parisini; Marcello Sanguineti; N. Zoppoli (ACC, 2000)

On estimators for nonlinear systems in Lp spaces. - Angelo Alessandri; Marcello Sanguineti (CDC, 2000)

On Dimension-Independent Approximation by Neural Networks and Linear Approximators. - Saverio Giulini; Marcello Sanguineti (IJCNN (1), 2000)

Comparison of Rates of Linear and Neural Network Approximation. - Vera Kurková; Marcello Sanguineti (IJCNN (1), 2000)

Lp-stable and asymptotic estimators for nonlinear dynamic systems. - Angelo Alessandri; Marcello Sanguineti (ACC, 2001)

On the design of approximate state estimators for nonlinear systems. - Angelo Alessandri; Marcello Sanguineti (CDC, 2001)

Can we cope with the curse of dimensionality in optimal control by using neural approximators? - Riccardo Zoppoli; Marcello Sanguineti; Thomas Parisini (CDC, 2001)

PF-stable estimators for nonlinear systems. - Angelo Alessandri; Marcello Sanguineti (ECC, 2001)

Tight Bounds on Rates of Neural-Network Approximation. - Vera Kurková; Marcello Sanguineti (ICANN, 2001)

Bounds on rates of variable-basis and neural-network approximation. - Vera Kurková; Marcello Sanguineti (IEEE Trans. Inf. Theory, 2001)

Batch-mode identification of black-box models using feedforward neural networks. - Angelo Alessandri; Marcello Sanguineti; Manfredi Maggiore (ACC, 2002)

Optimized feedforward neural networks for on-line identification of nonlinear models. - Angelo Alessandri; Marcello Sanguineti; Manfredi Maggiore (CDC, 2002)

Comparison of worst case errors in linear and neural network approximation. - Vera Kurková; Marcello Sanguineti (IEEE Trans. Inf. Theory, 2002)

Optimization-based learning with bounded error for feedforward neural networks. - Angelo Alessandri; Marcello Sanguineti; Manfredi Maggiore (IEEE Trans. Neural Networks, 2002)

On the convergence of EKF-based parameters optimization for neural networks. - Angelo Alessandri; Marta Cuneo; S. Pagnan; Marcello Sanguineti (CDC, 2003)

EKF learning for feedforward neural networks. - Angelo Alessandri; G. Cirimele; Marta Cuneo; S. Pagnan; Marcello Sanguineti (ECC, 2003)

Neural network learning as approximate optimization. - Vera Kurková; Marcello Sanguineti (ICANNGA, 2003)

Design of observers for continuous-time nonlinear systems using neural networks. - Angelo Alessandri; Cristiano Cervellera; Filippo Aldo Grassia; Marcello Sanguineti (ACC, 2004)

Minimization of Error Functionals over Variable-Basis Functions. - Paul C. Kainen; Vera Kurková; Marcello Sanguineti (SIAM J. Optim., 2004)

An approximate solution to optimal Lp state estimation problems. - Angelo Alessandri; Cristiano Cervellera; Filippo Aldo Grassia; Marcello Sanguineti (ACC, 2005)

Learning with generalization capability by kernel methods of bounded complexity. - Vera Kurková; Marcello Sanguineti (J. Complex., 2005)

Rates of Minimization of Error Functionals over Boolean Variable-Basis Functions. - Paul C. Kainen; Vera Kurková; Marcello Sanguineti (J. Math. Model. Algorithms, 2005)

Optimization of approximating networks for optimal fault diagnosis. - Angelo Alessandri; Marcello Sanguineti (Optim. Methods Softw., 2005)

Error Estimates for Approximate Optimization by the Extended Ritz Method. - Vera Kurková; Marcello Sanguineti (SIAM J. Optim., 2005)

Design of Parameterized State Observers and Controllers for a Class of Nonlinear Continuous-Time Systems. - Angelo Alessandri; Cristiano Cervellera; Danilo Macciò; Marcello Sanguineti (CDC, 2006)

Estimates of Approximation Rates by Gaussian Radial-Basis Functions. - Paul C. Kainen; Vera Kurková; Marcello Sanguineti (ICANNGA (2), 2007)

A recursive algorithm for nonlinear least-squares problems. - Angelo Alessandri; Marta Cuneo; S. Pagnan; Marcello Sanguineti (Comput. Optim. Appl., 2007)

Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets. - Vera Kurková; Marcello Sanguineti (Discret. Appl. Math., 2007)

Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming. - Angelo Alessandri; Cristiano Cervellera; Marcello Sanguineti (IEEE Trans. Neural Networks, 2007)

Geometric Rates of Approximation by Neural Networks. - Vera Kurková; Marcello Sanguineti (SOFSEM, 2008)

Approximate Minimization of the Regularized Expected Error over Kernel Models. - Vera Kurková; Marcello Sanguineti (Math. Oper. Res., 2008)

Geometric Upper Bounds on Rates of Variable-Basis Approximation. - Vera Kurková; Marcello Sanguineti (IEEE Trans. Inf. Theory, 2008)

On Tractability of Neural-Network Approximation. - Paul C. Kainen; Vera Kurková; Marcello Sanguineti (ICANNGA, 2009)

The weight-decay technique in learning from data: an optimization point of view. - Giorgio Gnecco; Marcello Sanguineti (Comput. Manag. Sci., 2009)

Guest Editorial. - O. Erhun Kundakcioglu; Marcello Sanguineti; Theodore B. Trafalis (Comput. Manag. Sci., 2009)

Accuracy of suboptimal solutions to kernel principal component analysis. - Giorgio Gnecco; Marcello Sanguineti (Comput. Optim. Appl., 2009)

Complexity of Gaussian-radial-basis networks approximating smooth functions. - Paul C. Kainen; Vera Kurková; Marcello Sanguineti (J. Complex., 2009)

The extended Ritz method for functional optimization: overview and applications to single-person and team optimal decision problems. - Marco Baglietto; Marcello Sanguineti; Riccardo Zoppoli (Optim. Methods Softw., 2009)

Regularization and Suboptimal Solutions in Learning from Data. - Giorgio Gnecco; Marcello Sanguineti (Innovations in Neural Information Paradigms and Applications, 2009)

Some Comparisons of Model Complexity in Linear and Neural-Network Approximation. - Giorgio Gnecco; Vera Kurková; Marcello Sanguineti (ICANN (3), 2010)

Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations. - Giorgio Gnecco; Marcello Sanguineti (SOFSEM, 2010)

Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling. - Marco Baglietto; Cristiano Cervellera; Marcello Sanguineti; Riccardo Zoppoli (Comput. Optim. Appl., 2010)

Guest editorial. - Enza Messina; Marcello Sanguineti (Comput. Oper. Res., 2010)

On spectral windows in supervised learning from data. - Giorgio Gnecco; Marcello Sanguineti (Inf. Process. Lett., 2010)

Minimizing Sequences for a Family of Functional Optimal Estimation Problems. - Angelo Alessandri; Giorgio Gnecco; Marcello Sanguineti (J. Optim. Theory Appl., 2010)

Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data. - Giorgio Gnecco; Marcello Sanguineti (Neural Comput., 2010)

Error bounds for suboptimal solutions to kernel principal component analysis. - Giorgio Gnecco; Marcello Sanguineti (Optim. Lett., 2010)

A Generalized Stochastic Knapsack Problem with Application in Call Admission Control. - Marco Cello; Giorgio Gnecco; Mario Marchese; Marcello Sanguineti (CTW, 2011)

Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks. - Giorgio Gnecco; Vera Kurková; Marcello Sanguineti (ICANN (1), 2011)

Structural properties of optimal coordinate-convex policies for CAC with nonlinearly-constrained feasibility regions. - Mario Marchese; Marco Cello; Giorgio Gnecco; Marcello Sanguineti (INFOCOM, 2011)

CAC with Nonlinearly-Constrained Feasibility Regions. - Marco Cello; Giorgio Gnecco; Mario Marchese; Marcello Sanguineti (IEEE Commun. Lett., 2011)

Some comparisons of complexity in dictionary-based and linear computational models. - Giorgio Gnecco; Vera Kurková; Marcello Sanguineti (Neural Networks, 2011)

Can dictionary-based computational models outperform the best linear ones? - Giorgio Gnecco; Vera Kurková; Marcello Sanguineti (Neural Networks, 2011)

Team optimization problems with Lipschitz continuous strategies. - Giorgio Gnecco; Marcello Sanguineti (Optim. Lett., 2011)

On a Variational Norm Tailored to Variable-Basis Approximation Schemes. - Giorgio Gnecco; Marcello Sanguineti (IEEE Trans. Inf. Theory, 2011)

Approximation structures with moderate complexity in functional optimization and dynamic programming. - Mauro Gaggero; Giorgio Gnecco; Thomas Parisini; Marcello Sanguineti; Riccardo Zoppoli (CDC, 2012)

An application to two-hop forwarding of a model of buffer occupancy in ICNs. - Marco Cello; Giorgio Gnecco; Mario Marchese; Marcello Sanguineti (SoSE, 2012)

Accuracy of approximations of solutions to Fredholm equations by kernel methods. - Giorgio Gnecco; Vera Kurková; Marcello Sanguineti (Appl. Math. Comput., 2012)

A Model of Buffer Occupancy for ICNs. - Marco Cello; Giorgio Gnecco; Mario Marchese; Marcello Sanguineti (IEEE Commun. Lett., 2012)

New insights into Witsenhausen's counterexample. - Giorgio Gnecco; Marcello Sanguineti (Optim. Lett., 2012)

Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure. - Giorgio Gnecco; Marcello Sanguineti; Mauro Gaggero (SIAM J. Optim., 2012)

Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks. - Paul C. Kainen; Vera Kurková; Marcello Sanguineti (IEEE Trans. Inf. Theory, 2012)

Towards Automated Analysis of Joint Music Performance in the Orchestra. - Giorgio Gnecco; Leonardo Badino; Antonio Camurri; Alessandro D'Ausilio; Luciano Fadiga; Donald Glowinski; Marcello Sanguineti; Giovanna Varni; Gualtiero Volpe (ArtsIT, 2013)

Learning with Hard Constraints. - Giorgio Gnecco; Marco Gori; Stefano Melacci; Marcello Sanguineti (ICANN, 2013)

Can Two Hidden Layers Make a Difference? - Vera Kurková; Marcello Sanguineti (ICANNGA, 2013)

Dynamic Programming and Value-Function Approximation in Sequential Decision Problems: Error Analysis and Numerical Results. - Mauro Gaggero; Giorgio Gnecco; Marcello Sanguineti (J. Optim. Theory Appl., 2013)

Learning with Boundary Conditions. - Giorgio Gnecco; Marco Gori; Marcello Sanguineti (Neural Comput., 2013)

Optimality Conditions for Coordinate-Convex Policies in CAC With Nonlinear Feasibility Boundaries. - Marco Cello; Giorgio Gnecco; Mario Marchese; Marcello Sanguineti (IEEE/ACM Trans. Netw., 2013)

Approximating Multivariable Functions by Feedforward Neural Nets. - Paul C. Kainen; Vera Kurková; Marcello Sanguineti (Handbook on Neural Information Processing, 2013)

Complexity of Shallow Networks Representing Functions with Large Variations. - Vera Kurková; Marcello Sanguineti (ICANN, 2014)

Approximate dynamic programming for stochastic N-stage optimization with application to optimal consumption under uncertainty. - Mauro Gaggero; Giorgio Gnecco; Marcello Sanguineti (Comput. Optim. Appl., 2014)

Evaluation of the Average Packet Delivery Delay in Highly-Disrupted Networks: The DTN and IP-like Protocol Cases. - Marco Cello; Giorgio Gnecco; Mario Marchese; Marcello Sanguineti (IEEE Commun. Lett., 2014)

On the detection of the level of attention in an orchestra through head movements. - Giorgio Gnecco; Donald Glowinski; Antonio Camurri; Marcello Sanguineti (Int. J. Arts Technol., 2014)

A theoretical framework for supervised learning from regions. - Giorgio Gnecco; Marco Gori; Stefano Melacci; Marcello Sanguineti (Neurocomputing, 2014)

Online learning as an LQG optimal control problem with random matrices. - Giorgio Gnecco; Alberto Bemporad; Marco Gori; Rita Morisi; Marcello Sanguineti (ECC, 2015)

A Multimodal Dataset for the Analysis of Movement Qualities in Karate Martial Art. - Ksenia Kolykhalova; Antonio Camurri; Gualtiero Volpe; Marcello Sanguineti; Enrico Puppo; Radoslaw Niewiadomski (EAI Endorsed Trans. Collab. Comput., 2015)

Narrowing the Search for Optimal Call-Admission Policies Via a Nonlinear Stochastic Knapsack Model. - Marco Cello; Giorgio Gnecco; Mario Marchese; Marcello Sanguineti (J. Optim. Theory Appl., 2015)

Foundations of Support Constraint Machines. - Giorgio Gnecco; Marco Gori; Stefano Melacci; Marcello Sanguineti (Neural Comput., 2015)

Learning With Mixed Hard/Soft Pointwise Constraints. - Giorgio Gnecco; Marco Gori; Stefano Melacci; Marcello Sanguineti (IEEE Trans. Neural Networks Learn. Syst., 2015)

Learning with hard constraints as a limit case of learning with soft constraints. - Giorgio Gnecco; Marco Gori; Stefano Melacci; Marcello Sanguineti (ESANN, 2016)

Model complexities of shallow networks representing highly varying functions. - Vera Kurková; Marcello Sanguineti (Neurocomputing, 2016)

Graph-restricted game approach for investigating human movement qualities. - Ksenia Kolykhalova; Giorgio Gnecco; Marcello Sanguineti; Antonio Camurri; Gualtiero Volpe (MOCO, 2017)

LQG Online Learning. - Giorgio Gnecco; Alberto Bemporad; Marco Gori; Marcello Sanguineti (Neural Comput., 2017)

Probabilistic lower bounds for approximation by shallow perceptron networks. - Vera Kurková; Marcello Sanguineti (Neural Networks, 2017)

A theoretical analysis of buffer occupancy for Intermittently-Connected Networks. - Luca Boero; Marco Cello; Giorgio Gnecco; Mario Marchese; Fabio Patrone; Marcello Sanguineti (Perform. Evaluation, 2017)

Supervised and semi-supervised classifiers for the detection of flood-prone areas. - Giorgio Gnecco; Rita Morisi; Giorgio Roth; Marcello Sanguineti; Angela Celeste Taramasso (Soft Comput., 2017)

Probabilistic Bounds on Complexity of Networks Computing Binary Classification Tasks. - Vera Kurková; Marcello Sanguineti (ITAT, 2018)

Neural approximations in discounted infinite-horizon stochastic optimal control problems. - Giorgio Gnecco; Marcello Sanguineti (Eng. Appl. Artif. Intell., 2018)

On the Optimal Selection of Motors and Transmissions for a Back-Support Exoskeleton. - Erfan Shojaei Barjuei; Mohammad Mahdi Ghazaei Ardakani; Darwin G. Caldwell; Marcello Sanguineti; Jesús Ortiz 001 (CBS, 2019)

Probabilistic Bounds for Binary Classification of Large Data Sets. - Vera Kurková; Marcello Sanguineti (INNSBDDL, 2019)

Some properties of transportation network cooperative games. - Giorgio Gnecco; Yuval Hadas; Marcello Sanguineti (Networks, 2019)

Classification by Sparse Neural Networks. - Vera Kurková; Marcello Sanguineti (IEEE Trans. Neural Networks Learn. Syst., 2019)

A Computational Method to Automatically Detect the Perceived Origin of Full-Body Human Movement and its Propagation. - Olga Matthiopoulou; Benoît G. Bardy; Giorgio Gnecco; Denis Mottet; Marcello Sanguineti; Antonio Camurri (ICMI Companion, 2020)

Transboundary pollution control and environmental absorption efficiency management. - Fouad El Ouardighi; Konstantin Kogan; Giorgio Gnecco; Marcello Sanguineti (Ann. Oper. Res., 2020)

Automated Analysis of the Origin of Movement: An Approach Based on Cooperative Games on Graphs. - Ksenia Kolykhalova; Giorgio Gnecco; Marcello Sanguineti; Gualtiero Volpe; Antonio Camurri (IEEE Trans. Hum. Mach. Syst., 2020)

Braess' paradox: A cooperative game-theoretic point of view. - Mauro Passacantando; Giorgio Gnecco; Yuval Hadas; Marcello Sanguineti (Networks, 2021)

Correlations of random classifiers on large data sets. - Vera Kurková; Marcello Sanguineti (Soft Comput., 2021)

Special Issue Optimization for Machine Learning Guest Editorial. - Marcello Sanguineti; Elena Tànfani (Soft Comput., 2021)

Deeper Insights into Neural Nets with Random Weights. - Ming Li 065; Giorgio Gnecco; Marcello Sanguineti (AI, 2022)

An efficient combined local and global search strategy for optimization of parallel kinematic mechanisms with joint limits and collision constraints. - Durgesh Haribhau Salunkhe; Guillaume Michel; Shivesh Kumar; Marcello Sanguineti; Damien Chablat (CoRR, 2022)

A game-theoretic approach for reliability evaluation of public transportation transfers with stochastic features. - Giorgio Gnecco; Yuval Hadas; Marcello Sanguineti (EURO J. Transp. Logist., 2022)

Approximation of classifiers by deep perceptron networks. - Vera Kurková; Marcello Sanguineti (Neural Networks, 2023)

Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications. - Ming Li 065; Alessio Micheli; Yu Guang Wang 001; Shirui Pan; Pietro Lió; Giorgio Stefano Gnecco; Marcello Sanguineti (IEEE Trans. Neural Networks Learn. Syst., 2024)

Networks with Finite VC Dimension: Pro and Contra. - Vera Kurková; Marcello Sanguineti (CoRR, 2025)

Adaptive dipole-like parameter calibration of complex black-box continuous processes. - Avi Herbon; Mauro Gaggero; Eugene Khmelnitsky; Marcello Sanguineti (Comput. Optim. Appl., 2025)