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

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

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)

Functional optimization by variable-basis approximation schemes. - Giorgio Gnecco (4OR, 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)

A Comparison between Fixed-Basis and Variable-Basis Schemes for Function Approximation and Functional Optimization. - Giorgio Gnecco (J. Appl. Math., 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)

Expressive Non-verbal Interaction in String Quartet. - Donald Glowinski; Giorgio Gnecco; Stefano Piana; Antonio Camurri (ACII, 2013)

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)

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)

Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. - Derong Liu 001; Charles Anderson 001; Ahmad Taher Azar; Giorgio Battistelli; Eduardo Bayro-Corrochano; Cristiano Cervellera; David A. Elizondo; Maurizio Filippone; Giorgio Gnecco; Xiaolin Hu; Tingwen Huang; Weifeng Liu 001; et al. (IEEE Trans. Neural Networks Learn. Syst., 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)

Sparse solutions to the average consensus problem via l1-norm regularization of the fastest mixing Markov-chain problem. - Giorgio Gnecco; Rita Morisi; Alberto Bemporad (CDC, 2014)

A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. - Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber (WSOM, 2014)

A Survey of SOM-Based Active Contour Models for Image Segmentation. - Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber (WSOM, 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)

Approximation and Estimation Bounds for Subsets of Reproducing Kernel Kreǐn Spaces. - Giorgio Gnecco (Neural Process. Lett., 2014)

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

Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. - Rita Morisi; Giorgio Gnecco; Nico Lanconelli; Stefano Zanigni; David Neil Manners; Claudia Testa; Stefania Evangelisti; Laura Ludovica Gramegna; Claudio Bianchini; Pietro Cortelli; Caterina Tonon; Raffaele Lodi (IbPRIA, 2015)

On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. - Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber; Eyad Elyan (Comput. Intell. Neurosci., 2015)

An efficient Self-Organizing Active Contour model for image segmentation. - Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber (Neurocomputing, 2015)

Expressive non-verbal interaction in a string quartet: an analysis through head movements. - Donald Glowinski; Floriane Dardard; Giorgio Gnecco; Stefano Piana; Antonio Camurri (J. Multimodal User Interfaces, 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)

Sparse Solutions to the Average Consensus Problem via Various Regularizations of the Fastest Mixing Markov-Chain Problem. - Giorgio Gnecco; Rita Morisi; Alberto Bemporad (IEEE Trans. Netw. Sci. Eng., 2015)

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

Design of Acoustic Metamaterials Through Nonlinear Programming. - Andrea Bacigalupo; Giorgio Gnecco; Marco Lepidi; Luigi Gambarotta (MOD, 2016)

A hierarchical consensus method for the approximation of the consensus state, based on clustering and spectral graph theory. - Rita Morisi; Giorgio Gnecco; Alberto Bemporad (Eng. Appl. Artif. Intell., 2016)

On the Curse of Dimensionality in the Ritz Method. - Giorgio Gnecco (J. Optim. Theory Appl., 2016)

Automatic Classification of Leading Interactions in a String Quartet. - Floriane Dardard; Giorgio Gnecco; Donald Glowinski (ACM Trans. Interact. Intell. Syst., 2016)

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

Optimal distributed task scheduling in volunteer clouds. - Stefano Sebastio; Giorgio Gnecco; Alberto Bemporad (Comput. Oper. Res., 2017)

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

Symmetry and antisymmetry properties of optimal solutions to regression problems. - Giorgio Gnecco (Optim. Lett., 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)

A SOM-based Chan-Vese model for unsupervised image segmentation. - Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber (Soft Comput., 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)

Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms. - Falco Joannes Bargagli Stoffi; Giorgio Gnecco (DSAA, 2018)

Strong Convexity and Smoothness of Solutions to Geometric Optics Problems via Dynamic Programming. - Giorgio Gnecco; Daniela Selvi (IEEE Control. Syst. Lett., 2018)

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

A Comparison of Game-Theoretic Models for Parallel Trade. - Giorgio Gnecco; Berna Tuncay; Fabio Pammolli (IGTR, 2018)

Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems. - Giorgio Gnecco (Neurocomputing, 2018)

A green policy to schedule tasks in a distributed cloud. - Stefano Sebastio; Giorgio Gnecco (Optim. Lett., 2018)

On the Trade-Off Between Number of Examples and Precision of Supervision in Regression. - Giorgio Gnecco; Federico Nutarelli (INNSBDDL, 2019)

Optimal Trade-Off Between Sample Size and Precision of Supervision for the Fixed Effects Panel Data Model. - Giorgio Gnecco; Federico Nutarelli (LOD, 2019)

Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach. - Falco J. Bargagli Stoffi; Kristof De Witte; Giorgio Gnecco (CoRR, 2019)

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

Machine Learning Application to Family Business Status Classification. - Giorgio Gnecco; Stefano Amato; Alessia Patuelli; Nicola Lattanzi (LOD (1), 2020)

Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning? - Falco J. Bargagli Stoffi; Gustavo Cevolani; Giorgio Gnecco (LOD (1), 2020)

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

Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms. - Falco J. Bargagli Stoffi; Giorgio Gnecco (Int. J. Data Sci. Anal., 2020)

Machine-Learning Techniques for the Optimal Design of Acoustic Metamaterials. - Andrea Bacigalupo; Giorgio Gnecco; Marco Lepidi; Luigi Gambarotta (J. Optim. Theory Appl., 2020)

Optimal trade-off between sample size, precision of supervision, and selection probabilities for the unbalanced fixed effects panel data model. - Giorgio Gnecco; Federico Nutarelli; Daniela Selvi (Soft Comput., 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)

On Principal Component Analysis of the Convex Combination of Two Data Matrices and Its Application to Acoustic Metamaterial Filters. - Giorgio Gnecco; Andrea Bacigalupo (LOD, 2021)

Principal Component Analysis Applied to Gradient Fields in Band Gap Optimization Problems for Metamaterials. - Giorgio Gnecco; Andrea Bacigalupo; Francesca Fantoni; Daniela Selvi (CoRR, 2021)

Matrix Completion of World Trade. - Giorgio Gnecco; Federico Nutarelli; Massimo Riccaboni (CoRR, 2021)

Convex combination of data matrices: PCA perturbation bounds for multi-objective optimal design of mechanical metafilters. - Giorgio Gnecco; Andrea Bacigalupo (Math. Found. Comput., 2021)

Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model. - Giorgio Gnecco; Federico Nutarelli; Daniela Selvi (Mach. Learn., 2021)

Parameter estimation in a 3-parameter p-star random graph model. - Pietro Lenarda; Giorgio Gnecco; Massimo Riccaboni (Networks, 2021)

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

On the trade-off between number of examples and precision of supervision in machine learning problems. - Giorgio Gnecco; Federico Nutarelli (Optim. Lett., 2021)

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

Matrix Completion for the Prediction of Yearly Country and Industry-Level CO2 Emissions. - Francesco Biancalani; Giorgio Gnecco; Rodolfo Metulini; Massimo Riccaboni (LOD (1), 2022)

Welfare and research and development incentive effects of uniform and differential pricing schemes. - Giorgio Gnecco; Fabio Pammolli; Berna Tuncay (Comput. Manag. Sci., 2022)

Hierarchical Clustering and Matrix Completion for the Reconstruction of World Input-Output Tables. - Rodolfo Metulini; Giorgio Gnecco; Francesco Biancalani; Massimo Riccaboni (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)

Price-volume agreements: A one principal/two agents model. - Francesco Biancalani; Giorgio Gnecco; Massimo Riccaboni (Eur. J. Oper. Res., 2022)

Simple Models in Complex Worlds: Occam's Razor and Statistical Learning Theory. - Falco J. Bargagli Stoffi; Gustavo Cevolani; Giorgio Gnecco (Minds Mach., 2022)

Signature-Based Community Detection for Time Series. - Marco Gregnanin; Johannes De Smedt; Giorgio Gnecco; Maurizio Parton (COMPLEX NETWORKS (2), 2023)

Increasing Accessibility of Online Board Games to Visually Impaired People via Machine Learning and Textual/Audio Feedback: The Case of "Quantik". - Giorgio Gnecco; Chiara Battaglini; Francesco Biancalani; Davide Bottari; Antonio Camurri; Barbara Leporini (INTETAIN, 2023)

Improving Output Visualization of an Algorithm for the Automated Detection of the Perceived Origin of Movement. - Giorgio Gnecco; Martina Fausto; Gabriele Romano; Gualtiero Volpe; Antonio Camurri (INTETAIN, 2023)

Stock Price Time Series Forecasting Using Dynamic Graph Neural Networks and Attention Mechanism in Recurrent Neural Networks. - Marco Gregnanin; Johannes De Smedt; Giorgio Gnecco; Maurizio Parton (PKDD/ECML Workshops (5), 2023)

Counter-Example Guided Inductive Synthesis of Control Lyapunov Functions for Uncertain Systems. - Daniele Masti; Filippo Fabiani; Giorgio Gnecco; Alberto Bemporad (IEEE Control. Syst. Lett., 2023)

Measuring players' importance in basketball using the generalized Shapley value. - Rodolfo Metulini; Giorgio Gnecco (Ann. Oper. Res., 2023)

Iterative Design of Two Art-Inspired Experimental Scenarios for Collecting Expressive Movement Data of Individuals and Groups. - Antonio Camurri; Cora Gasparotti; Eleonora Ceccaldi; Andrea Cera; Benoît G. Bardy; Marta Bienkiewicz; Stefan Janaqi; Gualtiero Volpe; Giorgio Gnecco; Nicola Ferrari (AVI, 2024)

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data. - Marco Gregnanin; Johannes De Smedt; Giorgio Gnecco; Maurizio Parton (DS (LB), 2024)

A Computational Framework for Identifying Salient Moments in Motion Capture Data. - Gabriele Romano; Sanket Rajeev Sabharwal; Giorgio Gnecco; Antonio Camurri (LOD (2), 2024)

Game accessibility for visually impaired people: a review. - Emanuele Agrimi; Chiara Battaglini; Davide Bottari; Giorgio Gnecco; Barbara Leporini (Soft Comput., 2024)

Signature-based portfolio allocation: a network approach. - Marco Gregnanin; Yanyi Zhang; Johannes De Smedt; Giorgio Gnecco; Maurizio Parton (Appl. Netw. Sci., 2024)

Prediction of annual CO2 emissions at the country and sector levels, based on a matrix completion optimization problem. - Francesco Biancalani; Giorgio Gnecco; Rodolfo Metulini; Massimo Riccaboni (Optim. Lett., 2024)

Artificial intelligence for breast cancer detection and its health technology assessment: A scoping review. - Anisie Uwimana; Giorgio Gnecco; Massimo Riccaboni (Comput. Biol. Medicine, 2025)

Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface. - Daniele Masti; Stefano Menchetti; Çagri Erdem; Giorgio Gnecco; Davide Rocchesso (CoRR, 2025)