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Journal Articles
- 2024
[j67]Marco Gregnanin, Yanyi Zhang, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton:
Signature-based portfolio allocation: a network approach. Appl. Netw. Sci. 9(1): 54 (2024)- [j66]Francesco Biancalani, Giorgio Gnecco, Rodolfo Metulini, Massimo Riccaboni:
Prediction of annual CO2 emissions at the country and sector levels, based on a matrix completion optimization problem. Optim. Lett. 18(9): 2203-2219 (2024) - [j65]Emanuele Agrimi, Chiara Battaglini, Davide Bottari, Giorgio Gnecco, Barbara Leporini:
Game accessibility for visually impaired people: a review. Soft Comput. 28(17-18): 10475-10489 (2024) - 2023
- [j64]Rodolfo Metulini
, Giorgio Gnecco:
Measuring players' importance in basketball using the generalized Shapley value. Ann. Oper. Res. 325(1): 441-465 (2023) - [j63]Daniele Masti, Filippo Fabiani, Giorgio Gnecco, Alberto Bemporad:
Counter-Example Guided Inductive Synthesis of Control Lyapunov Functions for Uncertain Systems. IEEE Control. Syst. Lett. 7: 2047-2052 (2023) - 2022
- [j62]Giorgio Gnecco, Fabio Pammolli, Berna Tuncay:
Welfare and research and development incentive effects of uniform and differential pricing schemes. Comput. Manag. Sci. 19(2): 229-268 (2022) - [j61]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: 100090 (2022) - [j60]Francesco Biancalani, Giorgio Gnecco, Massimo Riccaboni:
Price-volume agreements: A one principal/two agents model. Eur. J. Oper. Res. 300(1): 296-309 (2022) - [j59]Falco J. Bargagli Stoffi, Gustavo Cevolani, Giorgio Gnecco:
Simple Models in Complex Worlds: Occam's Razor and Statistical Learning Theory. Minds Mach. 32(1): 13-42 (2022) - 2021
- [j58]Giorgio Gnecco, Andrea Bacigalupo:
Convex combination of data matrices: PCA perturbation bounds for multi-objective optimal design of mechanical metafilters. Math. Found. Comput. 4(4): 253 (2021) - [j57]Giorgio Gnecco, Federico Nutarelli, Daniela Selvi:
Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model. Mach. Learn. 110(7): 1549-1584 (2021) - [j56]Pietro Lenarda, Giorgio Gnecco, Massimo Riccaboni:
Parameter estimation in a 3-parameter p-star random graph model. Networks 77(3): 403-420 (2021) - [j55]Mauro Passacantando, Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti:
Braess' paradox: A cooperative game-theoretic point of view. Networks 78(3): 264-283 (2021) - [j54]Giorgio Gnecco, Federico Nutarelli:
On the trade-off between number of examples and precision of supervision in machine learning problems. Optim. Lett. 15(5): 1711-1733 (2021) - 2020
- [j53]Fouad El Ouardighi, Konstantin Kogan, Giorgio Gnecco, Marcello Sanguineti:
Transboundary pollution control and environmental absorption efficiency management. Ann. Oper. Res. 287(2): 653-681 (2020) - [j52]Falco J. Bargagli Stoffi, Giorgio Gnecco:
Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms. Int. J. Data Sci. Anal. 9(3): 315-337 (2020) - [j51]Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi, Luigi Gambarotta:
Machine-Learning Techniques for the Optimal Design of Acoustic Metamaterials. J. Optim. Theory Appl. 187(3): 630-653 (2020) - [j50]Giorgio Gnecco, Federico Nutarelli, Daniela Selvi:
Optimal trade-off between sample size, precision of supervision, and selection probabilities for the unbalanced fixed effects panel data model. Soft Comput. 24(21): 15937-15949 (2020) - [j49]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): 550-560 (2020) - 2019
- [j48]Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti:
Some properties of transportation network cooperative games. Networks 74(2): 161-173 (2019) - 2018
- [j47]Giorgio Gnecco, Daniela Selvi:
Strong Convexity and Smoothness of Solutions to Geometric Optics Problems via Dynamic Programming. IEEE Control. Syst. Lett. 2(3): 549-554 (2018) - [j46]Giorgio Gnecco, Marcello Sanguineti:
Neural approximations in discounted infinite-horizon stochastic optimal control problems. Eng. Appl. Artif. Intell. 74: 294-302 (2018) - [j45]Giorgio Gnecco, Berna Tuncay, Fabio Pammolli:
A Comparison of Game-Theoretic Models for Parallel Trade. IGTR 20(3): 1850003:1-1850003:57 (2018) - [j44]Giorgio Gnecco:
Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems. Neurocomputing 306: 141-159 (2018) - [j43]Stefano Sebastio, Giorgio Gnecco:
A green policy to schedule tasks in a distributed cloud. Optim. Lett. 12(7): 1535-1551 (2018) - 2017
- [j42]Stefano Sebastio, Giorgio Gnecco, Alberto Bemporad:
Optimal distributed task scheduling in volunteer clouds. Comput. Oper. Res. 81: 231-246 (2017) - [j41]Giorgio Gnecco, Alberto Bemporad, Marco Gori, Marcello Sanguineti:
LQG Online Learning. Neural Comput. 29(8): 2203-2291 (2017) - [j40]Giorgio Gnecco:
Symmetry and antisymmetry properties of optimal solutions to regression problems. Optim. Lett. 11(7): 1427-1442 (2017) - [j39]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: 108-131 (2017) - [j38]Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber:
A SOM-based Chan-Vese model for unsupervised image segmentation. Soft Comput. 21(8): 2047-2067 (2017) - [j37]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): 3673-3685 (2017) - 2016
- [j36]Rita Morisi, Giorgio Gnecco, Alberto Bemporad:
A hierarchical consensus method for the approximation of the consensus state, based on clustering and spectral graph theory. Eng. Appl. Artif. Intell. 56: 157-174 (2016) - [j35]Giorgio Gnecco:
On the Curse of Dimensionality in the Ritz Method. J. Optim. Theory Appl. 168(2): 488-509 (2016) - [j34]Floriane Dardard, Giorgio Gnecco, Donald Glowinski:
Automatic Classification of Leading Interactions in a String Quartet. ACM Trans. Interact. Intell. Syst. 6(1): 5:1-5:27 (2016) - 2015
- [j33]Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber, Eyad Elyan:
On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Comput. Intell. Neurosci. 2015: 109029:1-109029:19 (2015) - [j32]Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber:
An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing 149: 820-835 (2015) - [j31]Donald Glowinski, Floriane Dardard, Giorgio Gnecco, Stefano Piana, Antonio Camurri:
Expressive non-verbal interaction in a string quartet: an analysis through head movements. J. Multimodal User Interfaces 9(1): 55-68 (2015) - [j30]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): 819-841 (2015) - [j29]Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti:
Foundations of Support Constraint Machines. Neural Comput. 27(2): 388-480 (2015) - [j28]Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti:
Learning With Mixed Hard/Soft Pointwise Constraints. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2019-2032 (2015) - [j27]Giorgio Gnecco, Rita Morisi, Alberto Bemporad:
Sparse Solutions to the Average Consensus Problem via Various Regularizations of the Fastest Mixing Markov-Chain Problem. IEEE Trans. Netw. Sci. Eng. 2(3): 97-111 (2015) - 2014
- [j26]Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti:
Approximate dynamic programming for stochastic N-stage optimization with application to optimal consumption under uncertainty. Comput. Optim. Appl. 58(1): 31-85 (2014) - [j25]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): 519-522 (2014) - [j24]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): 316-338 (2014) - [j23]Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti:
A theoretical framework for supervised learning from regions. Neurocomputing 129: 25-32 (2014) - [j22]Giorgio Gnecco:
Approximation and Estimation Bounds for Subsets of Reproducing Kernel Kreǐn Spaces. Neural Process. Lett. 39(2): 137-153 (2014) - 2013
- [j21]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): 380-416 (2013) - [j20]Giorgio Gnecco, Marco Gori, Marcello Sanguineti:
Learning with Boundary Conditions. Neural Comput. 25(4): 1029-1106 (2013) - [j19]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:
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. IEEE Trans. Neural Networks Learn. Syst. 24(1): 1-7 (2013) - [j18]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): 1363-1377 (2013) - 2012
- [j17]Giorgio Gnecco, Vera Kurková, Marcello Sanguineti:
Accuracy of approximations of solutions to Fredholm equations by kernel methods. Appl. Math. Comput. 218(14): 7481-7497 (2012) - [j16]Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti:
A Model of Buffer Occupancy for ICNs. IEEE Commun. Lett. 16(6): 862-865 (2012) - [j15]Giorgio Gnecco:
A Comparison between Fixed-Basis and Variable-Basis Schemes for Function Approximation and Functional Optimization. J. Appl. Math. 2012: 806945:1-806945:17 (2012) - [j14]Giorgio Gnecco, Marcello Sanguineti:
New insights into Witsenhausen's counterexample. Optim. Lett. 6(7): 1425-1446 (2012) - [j13]Giorgio Gnecco, Marcello Sanguineti, Mauro Gaggero:
Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure. SIAM J. Optim. 22(1): 212-243 (2012) - 2011
- [j12]Giorgio Gnecco:
Functional optimization by variable-basis approximation schemes. 4OR 9(1): 103-106 (2011) - [j11]Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti:
CAC with Nonlinearly-Constrained Feasibility Regions. IEEE Commun. Lett. 15(4): 467-469 (2011) - [j10]Giorgio Gnecco, Vera Kurková, Marcello Sanguineti:
Some comparisons of complexity in dictionary-based and linear computational models. Neural Networks 24(2): 171-182 (2011) - [j9]Giorgio Gnecco, Vera Kurková, Marcello Sanguineti:
Can dictionary-based computational models outperform the best linear ones? Neural Networks 24(8): 881-887 (2011) - [j8]Giorgio Gnecco, Marcello Sanguineti:
Team optimization problems with Lipschitz continuous strategies. Optim. Lett. 5(2): 333-346 (2011) - [j7]Giorgio Gnecco, Marcello Sanguineti:
On a Variational Norm Tailored to Variable-Basis Approximation Schemes. IEEE Trans. Inf. Theory 57(1): 549-558 (2011) - 2010
- [j6]Giorgio Gnecco, Marcello Sanguineti:
On spectral windows in supervised learning from data. Inf. Process. Lett. 110(23): 1031-1036 (2010) - [j5]Angelo Alessandri, Giorgio Gnecco, Marcello Sanguineti:
Minimizing Sequences for a Family of Functional Optimal Estimation Problems. J. Optim. Theory Appl. 147(2): 243-262 (2010) - [j4]Giorgio Gnecco, Marcello Sanguineti:
Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data. Neural Comput. 22(3): 793-829 (2010) - [j3]Giorgio Gnecco, Marcello Sanguineti:
Error bounds for suboptimal solutions to kernel principal component analysis. Optim. Lett. 4(2): 197-210 (2010) - 2009
- [j2]Giorgio Gnecco, Marcello Sanguineti:
The weight-decay technique in learning from data: an optimization point of view. Comput. Manag. Sci. 6(1): 53-79 (2009) - [j1]Giorgio Gnecco, Marcello Sanguineti:
Accuracy of suboptimal solutions to kernel principal component analysis. Comput. Optim. Appl. 42(2): 265-287 (2009)
Conference and Workshop Papers
- 2024
- [c31]Antonio Camurri, Cora Gasparotti, Eleonora Ceccaldi, Andrea Cera, Benoît G. Bardy, Marta Bienkiewicz, Stefan Janaqi, Gualtiero Volpe, Giorgio Gnecco, Nicola Ferrari:
Iterative Design of Two Art-Inspired Experimental Scenarios for Collecting Expressive Movement Data of Individuals and Groups. AVI 2024: 92:1-92:3 - 2023
- [c30]Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton:
Signature-Based Community Detection for Time Series. COMPLEX NETWORKS (2) 2023: 146-158 - [c29]Giorgio Gnecco, Martina Fausto, Gabriele Romano, Gualtiero Volpe, Antonio Camurri:
Improving Output Visualization of an Algorithm for the Automated Detection of the Perceived Origin of Movement. INTETAIN 2023: 96-106 - [c28]Giorgio Gnecco, Chiara Battaglini, Francesco Biancalani, Davide Bottari, Antonio Camurri, Barbara Leporini:
Increasing Accessibility of Online Board Games to Visually Impaired People via Machine Learning and Textual/Audio Feedback: The Case of "Quantik". INTETAIN 2023: 167-177 - 2022
- [c27]Ming Li, Giorgio Gnecco, Marcello Sanguineti:
Deeper Insights into Neural Nets with Random Weights. AI 2022: 129-140 - [c26]Francesco Biancalani, Giorgio Gnecco, Rodolfo Metulini, Massimo Riccaboni:
Matrix Completion for the Prediction of Yearly Country and Industry-Level CO2 Emissions. LOD (1) 2022: 14-19 - 2021
- [c25]Giorgio Gnecco, Andrea Bacigalupo:
On Principal Component Analysis of the Convex Combination of Two Data Matrices and Its Application to Acoustic Metamaterial Filters. LOD 2021: 119-123 - 2020
- [c24]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: 449-453 - [c23]Giorgio Gnecco, Stefano Amato, Alessia Patuelli, Nicola Lattanzi:
Machine Learning Application to Family Business Status Classification. LOD (1) 2020: 25-36 - [c22]Falco J. Bargagli Stoffi, Gustavo Cevolani, Giorgio Gnecco:
Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning? LOD (1) 2020: 55-59 - 2019
- [c21]Giorgio Gnecco, Federico Nutarelli:
On the Trade-Off Between Number of Examples and Precision of Supervision in Regression. INNSBDDL 2019: 1-6 - [c20]Giorgio Gnecco, Federico Nutarelli:
Optimal Trade-Off Between Sample Size and Precision of Supervision for the Fixed Effects Panel Data Model. LOD 2019: 531-542 - 2018
- [c19]Falco Joannes Bargagli Stoffi, Giorgio Gnecco:
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms. DSAA 2018: 1-10 - 2017
- [c18]Ksenia Kolykhalova, Giorgio Gnecco, Marcello Sanguineti, Antonio Camurri, Gualtiero Volpe:
Graph-restricted game approach for investigating human movement qualities. MOCO 2017: 30:1-30:4 - 2016
- [c17]Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti:
Learning with hard constraints as a limit case of learning with soft constraints. ESANN 2016 - [c16]Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi, Luigi Gambarotta:
Design of Acoustic Metamaterials Through Nonlinear Programming. MOD 2016: 170-181 - 2015
- [c15]Giorgio Gnecco, Alberto Bemporad, Marco Gori, Rita Morisi, Marcello Sanguineti:
Online learning as an LQG optimal control problem with random matrices. ECC 2015: 2482-2489 - [c14]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:
Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. IbPRIA 2015: 379-386 - 2014
- [c13]Giorgio Gnecco, Rita Morisi, Alberto Bemporad:
Sparse solutions to the average consensus problem via l1-norm regularization of the fastest mixing Markov-chain problem. CDC 2014: 2228-2233 - [c12]Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber:
A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. WSOM 2014: 199-208 - [c11]Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber:
A Survey of SOM-Based Active Contour Models for Image Segmentation. WSOM 2014: 293-302 - 2013
- [c10]Donald Glowinski, Giorgio Gnecco, Stefano Piana, Antonio Camurri:
Expressive Non-verbal Interaction in String Quartet. ACII 2013: 233-238 - [c9]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: 120-127 - [c8]Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti:
Learning with Hard Constraints. ICANN 2013: 146-153 - 2012
- [c7]Mauro Gaggero, Giorgio Gnecco, Thomas Parisini, Marcello Sanguineti, Riccardo Zoppoli:
Approximation structures with moderate complexity in functional optimization and dynamic programming. CDC 2012: 1902-1908 - [c6]Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti:
An application to two-hop forwarding of a model of buffer occupancy in ICNs. SoSE 2012: 491-496 - 2011
- [c5]Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti:
A Generalized Stochastic Knapsack Problem with Application in Call Admission Control. CTW 2011: 105-108 - [c4]Giorgio Gnecco, Vera Kurková, Marcello Sanguineti:
Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks. ICANN (1) 2011: 126-133 - [c3]Mario Marchese, Marco Cello, Giorgio Gnecco, Marcello Sanguineti:
Structural properties of optimal coordinate-convex policies for CAC with nonlinearly-constrained feasibility regions. INFOCOM 2011: 466-470 - 2010
- [c2]Giorgio Gnecco, Vera Kurková, Marcello Sanguineti:
Some Comparisons of Model Complexity in Linear and Neural-Network Approximation. ICANN (3) 2010: 358-367 - [c1]Giorgio Gnecco, Marcello Sanguineti:
Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations. SOFSEM 2010: 440-451
Parts in Books or Collections
- 2009
- [p1]Giorgio Gnecco, Marcello Sanguineti:
Regularization and Suboptimal Solutions in Learning from Data. Innovations in Neural Information Paradigms and Applications 2009: 113-154
Informal and Other Publications
- 2023
- [i10]Daniele Masti, Filippo Fabiani, Giorgio Gnecco, Alberto Bemporad:
Counter-example guided inductive synthesis of control Lyapunov functions for uncertain systems. CoRR abs/2303.10024 (2023) - [i9]Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton:
Signature-Based Community Detection for Time Series. CoRR abs/2311.05986 (2023) - 2022
- [i8]Rodolfo Metulini, Giorgio Gnecco, Francesco Biancalani, Massimo Riccaboni:
Hierarchical Clustering and Matrix Completion for the Reconstruction of World Input-Output Tables. CoRR abs/2203.08819 (2022) - 2021
- [i7]Giorgio Gnecco, Andrea Bacigalupo, Francesca Fantoni, Daniela Selvi:
Principal Component Analysis Applied to Gradient Fields in Band Gap Optimization Problems for Metamaterials. CoRR abs/2104.02588 (2021) - [i6]Giorgio Gnecco, Andrea Bacigalupo:
On principal component analysis of the convex combination of two data matrices and its application to acoustic metamaterial filters. CoRR abs/2104.07054 (2021) - [i5]Giorgio Gnecco, Federico Nutarelli, Massimo Riccaboni:
Matrix Completion of World Trade. CoRR abs/2109.03930 (2021) - 2019
- [i4]Falco J. Bargagli Stoffi, Kristof De Witte, Giorgio Gnecco:
Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach. CoRR abs/1905.12707 (2019) - [i3]Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi, Luigi Gambarotta:
Machine-learning techniques for the optimal design of acoustic metamaterials. CoRR abs/1908.10645 (2019) - 2018
- [i2]Falco J. Bargagli Stoffi, Giorgio Gnecco:
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms. CoRR abs/1808.04281 (2018) - 2016
- [i1]Giorgio Gnecco:
Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems. CoRR abs/1606.08501 (2016)
Coauthor Index
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