Giorgio Gnecco

119 papers A* 1B 6C 3Misc 2Journal 81Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A game-theoretical pricing model for green/non-green products. Ann. Oper. Res. Francesco Biancalani, Giorgio Gnecco, Leonardo Badia
2026	J	`jnl`	Artificial Intelligence in Otolaryngology: Redefining Automatic Laryngeal Paralysis Assessment for Optimal Care. SN Comput. Sci. Emanuele Agrimi, Francesco Pietrogiacomi, Linda Fiorini, Francesca Mularoni, Isabel Vilaseca, Giorgio Peretti, Stefano Taboni, Marco Ferrari, Andrea Luigi Camillo Carobbio, Piero Nicolai, Claudio Sampieri, Giorgio Gnecco
2025	J	`jnl`	Artificial intelligence for breast cancer detection and its health technology assessment: A scoping review. Comput. Biol. Medicine Anisie Uwimana, Giorgio Gnecco, Massimo Riccaboni
2025	—	`conf`	Diffusion Control of Wildland Fire via a Cooperative Game-Theoretic Model. GAMENETS Patrizia Bagnerini, Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti
2025	B	`conf`	Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface. SMC Daniele Masti, Stefano Menchetti, Çagri Erdem, Giorgio Gnecco, Davide Rocchesso
2025	J	`jnl`	Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface. CoRR Daniele Masti, Stefano Menchetti, Çagri Erdem, Giorgio Gnecco, Davide Rocchesso
2025	—	`conf`	Semi-Supervised Classification with Augmented-Laplacian SVM: Application to MammoWave Breast Cancer Data. ICIAP (Workshops 2) Bisma Naeem, Giorgio Gnecco, Massimo Riccaboni, Mario Badia, Gianluigi Tiberi
2024	—	`conf`	A Computational Framework for Identifying Salient Moments in Motion Capture Data. LOD (2) Gabriele Romano, Sanket Rajeev Sabharwal, Giorgio Gnecco, Antonio Camurri
2024	—	`conf`	A Generative Adversarial Graph Neural Network for Synthetic Time Series Data. DS (LB) Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton
2024	J	`jnl`	Game accessibility for visually impaired people: a review. Soft Comput. Emanuele Agrimi, Chiara Battaglini, Davide Bottari, Giorgio Gnecco, Barbara Leporini
2024	B	`conf`	Iterative Design of Two Art-Inspired Experimental Scenarios for Collecting Expressive Movement Data of Individuals and Groups. AVI Antonio Camurri, Cora Gasparotti, Eleonora Ceccaldi, Andrea Cera, Benoît G. Bardy, Marta Bienkiewicz, Stefan Janaqi, Gualtiero Volpe, Giorgio Gnecco, Nicola Ferrari
2024	J	`jnl`	Prediction of annual CO Optim. Lett. Francesco Biancalani, Giorgio Gnecco, Rodolfo Metulini, Massimo Riccaboni
2024	J	`jnl`	Signature-based portfolio allocation: a network approach. Appl. Netw. Sci. Marco Gregnanin, Yanyi Zhang, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton
2023	J	`jnl`	Counter-Example Guided Inductive Synthesis of Control Lyapunov Functions for Uncertain Systems. IEEE Control. Syst. Lett. Daniele Masti, Filippo Fabiani, Giorgio Gnecco, Alberto Bemporad
2023	J	`jnl`	Counter-example guided inductive synthesis of control Lyapunov functions for uncertain systems. CoRR Daniele Masti, Filippo Fabiani, Giorgio Gnecco, Alberto Bemporad
2023	—	`conf`	Improving Output Visualization of an Algorithm for the Automated Detection of the Perceived Origin of Movement. INTETAIN Giorgio Gnecco, Martina Fausto, Gabriele Romano, Gualtiero Volpe, Antonio Camurri
2023	—	`conf`	Increasing Accessibility of Online Board Games to Visually Impaired People via Machine Learning and Textual/Audio Feedback: The Case of "Quantik". INTETAIN Giorgio Gnecco, Chiara Battaglini, Francesco Biancalani, Davide Bottari, Antonio Camurri, Barbara Leporini
2023	J	`jnl`	Measuring players' importance in basketball using the generalized Shapley value. Ann. Oper. Res. Rodolfo Metulini, Giorgio Gnecco
2023	—	`conf`	Signature-Based Community Detection for Time Series. COMPLEX NETWORKS (2) Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton
2023	J	`jnl`	Signature-Based Community Detection for Time Series. CoRR Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton
2023	—	`conf`	Stock Price Time Series Forecasting Using Dynamic Graph Neural Networks and Attention Mechanism in Recurrent Neural Networks. PKDD/ECML Workshops (5) Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton
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	Misc	`conf`	Deeper Insights into Neural Nets with Random Weights. AI Ming Li, Giorgio Gnecco, Marcello Sanguineti
2022	J	`jnl`	Hierarchical Clustering and Matrix Completion for the Reconstruction of World Input-Output Tables. CoRR Rodolfo Metulini, Giorgio Gnecco, Francesco Biancalani, Massimo Riccaboni
2022	—	`conf`	Matrix Completion for the Prediction of Yearly Country and Industry-Level CO LOD (1) Francesco Biancalani, Giorgio Gnecco, Rodolfo Metulini, Massimo Riccaboni
2022	J	`jnl`	Price-volume agreements: A one principal/two agents model. Eur. J. Oper. Res. Francesco Biancalani, Giorgio Gnecco, Massimo Riccaboni
2022	J	`jnl`	Simple Models in Complex Worlds: Occam's Razor and Statistical Learning Theory. Minds Mach. Falco J. Bargagli Stoffi, Gustavo Cevolani, Giorgio Gnecco
2022	J	`jnl`	Welfare and research and development incentive effects of uniform and differential pricing schemes. Comput. Manag. Sci. Giorgio Gnecco, Fabio Pammolli, Berna Tuncay
2021	J	`jnl`	Braess' paradox: A cooperative game-theoretic point of view. Networks Mauro Passacantando, Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
2021	J	`jnl`	Convex combination of data matrices: PCA perturbation bounds for multi-objective optimal design of mechanical metafilters. Math. Found. Comput. Giorgio Gnecco, Andrea Bacigalupo
2021	J	`jnl`	Matrix Completion of World Trade. CoRR Giorgio Gnecco, Federico Nutarelli, Massimo Riccaboni
2021	—	`conf`	On Principal Component Analysis of the Convex Combination of Two Data Matrices and Its Application to Acoustic Metamaterial Filters. LOD Giorgio Gnecco, Andrea Bacigalupo
2021	J	`jnl`	On principal component analysis of the convex combination of two data matrices and its application to acoustic metamaterial filters. CoRR Giorgio Gnecco, Andrea Bacigalupo
2021	J	`jnl`	On the trade-off between number of examples and precision of supervision in machine learning problems. Optim. Lett. Giorgio Gnecco, Federico Nutarelli
2021	J	`jnl`	Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model. Mach. Learn. Giorgio Gnecco, Federico Nutarelli, Daniela Selvi
2021	J	`jnl`	Parameter estimation in a 3-parameter p-star random graph model. Networks Pietro Lenarda, Giorgio Gnecco, Massimo Riccaboni
2021	J	`jnl`	Principal Component Analysis Applied to Gradient Fields in Band Gap Optimization Problems for Metamaterials. CoRR Giorgio Gnecco, Andrea Bacigalupo, Francesca Fantoni, Daniela Selvi
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`	Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms. Int. J. Data Sci. Anal. Falco J. Bargagli Stoffi, Giorgio Gnecco
2020	—	`conf`	Machine Learning Application to Family Business Status Classification. LOD (1) Giorgio Gnecco, Stefano Amato, Alessia Patuelli, Nicola Lattanzi
2020	J	`jnl`	Machine-Learning Techniques for the Optimal Design of Acoustic Metamaterials. J. Optim. Theory Appl. Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi, Luigi Gambarotta
2020	J	`jnl`	Optimal trade-off between sample size, precision of supervision, and selection probabilities for the unbalanced fixed effects panel data model. Soft Comput. Giorgio Gnecco, Federico Nutarelli, Daniela Selvi
2020	—	`conf`	Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning? LOD (1) Falco J. Bargagli Stoffi, Gustavo Cevolani, Giorgio Gnecco
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`	Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach. CoRR Falco J. Bargagli Stoffi, Kristof De Witte, Giorgio Gnecco
2019	J	`jnl`	Machine-learning techniques for the optimal design of acoustic metamaterials. CoRR Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi, Luigi Gambarotta
2019	—	`conf`	On the Trade-Off Between Number of Examples and Precision of Supervision in Regression. INNSBDDL Giorgio Gnecco, Federico Nutarelli
2019	—	`conf`	Optimal Trade-Off Between Sample Size and Precision of Supervision for the Fixed Effects Panel Data Model. LOD Giorgio Gnecco, Federico Nutarelli
2019	J	`jnl`	Some properties of transportation network cooperative games. Networks Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
2018	J	`jnl`	A Comparison of Game-Theoretic Models for Parallel Trade. IGTR Giorgio Gnecco, Berna Tuncay, Fabio Pammolli
2018	J	`jnl`	A green policy to schedule tasks in a distributed cloud. Optim. Lett. Stefano Sebastio, Giorgio Gnecco
2018	B	`conf`	Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms. DSAA Falco Joannes Bargagli Stoffi, Giorgio Gnecco
2018	J	`jnl`	Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms. CoRR Falco J. Bargagli Stoffi, Giorgio Gnecco
2018	J	`jnl`	Neural approximations in discounted infinite-horizon stochastic optimal control problems. Eng. Appl. Artif. Intell. Giorgio Gnecco, Marcello Sanguineti
2018	J	`jnl`	Strong Convexity and Smoothness of Solutions to Geometric Optics Problems via Dynamic Programming. IEEE Control. Syst. Lett. Giorgio Gnecco, Daniela Selvi
2018	J	`jnl`	Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems. Neurocomputing Giorgio Gnecco
2017	J	`jnl`	A SOM-based Chan-Vese model for unsupervised image segmentation. Soft Comput. Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
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`	Optimal distributed task scheduling in volunteer clouds. Comput. Oper. Res. Stefano Sebastio, Giorgio Gnecco, Alberto Bemporad
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
2017	J	`jnl`	Symmetry and antisymmetry properties of optimal solutions to regression problems. Optim. Lett. Giorgio Gnecco
2016	J	`jnl`	A hierarchical consensus method for the approximation of the consensus state, based on clustering and spectral graph theory. Eng. Appl. Artif. Intell. Rita Morisi, Giorgio Gnecco, Alberto Bemporad
2016	J	`jnl`	Automatic Classification of Leading Interactions in a String Quartet. ACM Trans. Interact. Intell. Syst. Floriane Dardard, Giorgio Gnecco, Donald Glowinski
2016	—	`conf`	Design of Acoustic Metamaterials Through Nonlinear Programming. MOD Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi, Luigi Gambarotta
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`	On the Curse of Dimensionality in the Ritz Method. J. Optim. Theory Appl. Giorgio Gnecco
2016	J	`jnl`	Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems. CoRR Giorgio Gnecco
2015	J	`jnl`	An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
2015	Misc	`conf`	Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. IbPRIA 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
2015	J	`jnl`	Expressive non-verbal interaction in a string quartet: an analysis through head movements. J. Multimodal User Interfaces Donald Glowinski, Floriane Dardard, Giorgio Gnecco, Stefano Piana, Antonio Camurri
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	J	`jnl`	On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Comput. Intell. Neurosci. Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber, Eyad Elyan
2015	—	`conf`	Online learning as an LQG optimal control problem with random matrices. ECC Giorgio Gnecco, Alberto Bemporad, Marco Gori, Rita Morisi, Marcello Sanguineti
2015	J	`jnl`	Sparse Solutions to the Average Consensus Problem via Various Regularizations of the Fastest Mixing Markov-Chain Problem. IEEE Trans. Netw. Sci. Eng. Giorgio Gnecco, Rita Morisi, Alberto Bemporad
2014	—	`conf`	A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. WSOM Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
2014	—	`conf`	A Survey of SOM-Based Active Contour Models for Image Segmentation. WSOM Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
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	J	`jnl`	Approximation and Estimation Bounds for Subsets of Reproducing Kernel Kreǐn Spaces. Neural Process. Lett. Giorgio Gnecco
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
2014	—	`conf`	Sparse solutions to the average consensus problem via l1-norm regularization of the fastest mixing Markov-chain problem. CDC Giorgio Gnecco, Rita Morisi, Alberto Bemporad
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`	Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. IEEE Trans. Neural Networks Learn. Syst. Derong Liu, Charles Anderson, Ahmad Taher Azar, Giorgio Battistelli, Eduardo Bayro-Corrochano, Cristiano Cervellera, David A. Elizondo, Maurizio Filippone, Giorgio Gnecco, Xiaolin Hu, Tingwen Huang, Weifeng Liu, Wenlian Lu, Ana Maria Madureira, Igor Skrjanc, Thomas Villmann, Q. M. Jonathan Wu, Shengli Xie, Dong Xu
2013	B	`conf`	Expressive Non-verbal Interaction in String Quartet. ACII Donald Glowinski, Giorgio Gnecco, Stefano Piana, Antonio Camurri
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 Comparison between Fixed-Basis and Variable-Basis Schemes for Function Approximation and Functional Optimization. J. Appl. Math. Giorgio Gnecco
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`	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`	Functional optimization by variable-basis approximation schemes. 4OR Giorgio Gnecco
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`	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	—	`ch.`	Regularization and Suboptimal Solutions in Learning from Data. Innovations in Neural Information Paradigms and Applications Giorgio Gnecco, Marcello Sanguineti
2009	J	`jnl`	The weight-decay technique in learning from data: an optimization point of view. Comput. Manag. Sci. Giorgio Gnecco, Marcello Sanguineti