Giorgio Gnecco

Ann. Oper. Res., June, 2023

Counter-Example Guided Inductive Synthesis of Control Lyapunov Functions for Uncertain Systems.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Improving Output Visualization of an Algorithm for the Automated Detection of the Perceived Origin of Movement.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Technologies for Interactive Entertainment, 2023

Increasing Accessibility of Online Board Games to Visually Impaired People via Machine Learning and Textual/Audio Feedback: The Case of "Quantik".

[BibT_eX]

[DOI]

Proceedings of the Intelligent Technologies for Interactive Entertainment, 2023

Signature-Based Community Detection for Time Series.

[BibT_eX]

[DOI]

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

Simple Models in Complex Worlds: Occam's Razor and Statistical Learning Theory.

[BibT_eX]

[DOI]

Gustavo Cevolani

Minds Mach., 2022

Price-volume agreements: A one principal/two agents model.

[BibT_eX]

[DOI]

Francesco Biancalani

Massimo Riccaboni

Eur. J. Oper. Res., 2022

A game-theoretic approach for reliability evaluation of public transportation transfers with stochastic features.

[BibT_eX]

[DOI]

Yuval Hadas

EURO J. Transp. Logist., 2022

Hierarchical Clustering and Matrix Completion for the Reconstruction of World Input-Output Tables.

[BibT_eX]

[DOI]

CoRR, 2022

Welfare and research and development incentive effects of uniform and differential pricing schemes.

[BibT_eX]

[DOI]

Fabio Pammolli

Berna Tuncay

Comput. Manag. Sci., 2022

Matrix Completion for the Prediction of Yearly Country and Industry-Level CO<sub>2</sub> Emissions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Deeper Insights into Neural Nets with Random Weights.

[BibT_eX]

[DOI]

Ming Li

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021

On the trade-off between number of examples and precision of supervision in machine learning problems.

[BibT_eX]

[DOI]

Optim. Lett., 2021

Braess' paradox: A cooperative game-theoretic point of view.

[BibT_eX]

[DOI]

Networks, 2021

Parameter estimation in a 3-parameter p-star random graph model.

[BibT_eX]

[DOI]

Pietro Lenarda

Massimo Riccaboni

Networks, 2021

Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model.

[BibT_eX]

[DOI]

Daniela Selvi

Mach. Learn., 2021

Convex combination of data matrices: PCA perturbation bounds for multi-objective optimal design of mechanical metafilters.

[BibT_eX]

[DOI]

Andrea Bacigalupo

Math. Found. Comput., 2021

Matrix Completion of World Trade.

[BibT_eX]

[DOI]

Massimo Riccaboni

CoRR, 2021

Principal Component Analysis Applied to Gradient Fields in Band Gap Optimization Problems for Metamaterials.

[BibT_eX]

[DOI]

CoRR, 2021

On Principal Component Analysis of the Convex Combination of Two Data Matrices and Its Application to Acoustic Metamaterial Filters.

[BibT_eX]

[DOI]

Andrea Bacigalupo

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020

Automated Analysis of the Origin of Movement: An Approach Based on Cooperative Games on Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Hum. Mach. Syst., 2020

Optimal trade-off between sample size, precision of supervision, and selection probabilities for the unbalanced fixed effects panel data model.

[BibT_eX]

[DOI]

Daniela Selvi

Soft Comput., 2020

Machine-Learning Techniques for the Optimal Design of Acoustic Metamaterials.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2020

Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2020

Transboundary pollution control and environmental absorption efficiency management.

[BibT_eX]

[DOI]

Ann. Oper. Res., 2020

Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning?

[BibT_eX]

[DOI]

Gustavo Cevolani

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Machine Learning Application to Family Business Status Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

A Computational Method to Automatically Detect the Perceived Origin of Full-Body Human Movement and its Propagation.

[BibT_eX]

[DOI]

Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020

2019

Some properties of transportation network cooperative games.

[BibT_eX]

[DOI]

Yuval Hadas

Networks, 2019

Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach.

[BibT_eX]

[DOI]

Kristof De Witte

CoRR, 2019

Optimal Trade-Off Between Sample Size and Precision of Supervision for the Fixed Effects Panel Data Model.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2019

On the Trade-Off Between Number of Examples and Precision of Supervision in Regression.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

2018

A green policy to schedule tasks in a distributed cloud.

[BibT_eX]

[DOI]

Stefano Sebastio

Optim. Lett., 2018

Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems.

[BibT_eX]

[DOI]

Neurocomputing, 2018

A Comparison of Game-Theoretic Models for Parallel Trade.

[BibT_eX]

[DOI]

Berna Tuncay

Fabio Pammolli

IGTR, 2018

Neural approximations in discounted infinite-horizon stochastic optimal control problems.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2018

Strong Convexity and Smoothness of Solutions to Geometric Optics Problems via Dynamic Programming.

[BibT_eX]

[DOI]

Falco Joannes Bargagli Stoffi

Daniela Selvi

IEEE Control. Syst. Lett., 2018

Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

Supervised and semi-supervised classifiers for the detection of flood-prone areas.

[BibT_eX]

[DOI]

Angela Celeste Taramasso

Soft Comput., 2017

A SOM-based Chan-Vese model for unsupervised image segmentation.

[BibT_eX]

[DOI]

Soft Comput., 2017

A theoretical analysis of buffer occupancy for Intermittently-Connected Networks.

[BibT_eX]

[DOI]

Perform. Evaluation, 2017

Symmetry and antisymmetry properties of optimal solutions to regression problems.

[BibT_eX]

[DOI]

Optim. Lett., 2017

LQG Online Learning.

[BibT_eX]

[DOI]

Neural Comput., 2017

Optimal distributed task scheduling in volunteer clouds.

[BibT_eX]

[DOI]

Stefano Sebastio

Comput. Oper. Res., 2017

Graph-restricted game approach for investigating human movement qualities.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Movement Computing, 2017

2016

Automatic Classification of Leading Interactions in a String Quartet.

[BibT_eX]

[DOI]

Floriane Dardard

Donald Glowinski

ACM Trans. Interact. Intell. Syst., 2016

On the Curse of Dimensionality in the Ritz Method.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2016

A hierarchical consensus method for the approximation of the consensus state, based on clustering and spectral graph theory.

[BibT_eX]

[DOI]

Rita Morisi

Eng. Appl. Artif. Intell., 2016

Design of Acoustic Metamaterials Through Nonlinear Programming.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Big Data, 2016

Learning with hard constraints as a limit case of learning with soft constraints.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Sparse Solutions to the Average Consensus Problem via Various Regularizations of the Fastest Mixing Markov-Chain Problem.

[BibT_eX]

[DOI]

Rita Morisi

IEEE Trans. Netw. Sci. Eng., 2015

Learning With Mixed Hard/Soft Pointwise Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Foundations of Support Constraint Machines.

[BibT_eX]

[DOI]

Neural Comput., 2015

Narrowing the Search for Optimal Call-Admission Policies Via a Nonlinear Stochastic Knapsack Model.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2015

Expressive non-verbal interaction in a string quartet: an analysis through head movements.

[BibT_eX]

[DOI]

J. Multimodal User Interfaces, 2015

An efficient Self-Organizing Active Contour model for image segmentation.

[BibT_eX]

[DOI]

Neurocomputing, 2015

On the Relationship between Variational Level Set-Based and SOM-Based Active Contours.

[BibT_eX]

Eyad Elyan

Comput. Intell. Neurosci., 2015

Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines.

[BibT_eX]

[DOI]

Laura Ludovica Gramegna

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Online learning as an LQG optimal control problem with random matrices.

[BibT_eX]

[DOI]

Proceedings of the 14th European Control Conference, 2015

2014

Approximation and Estimation Bounds for Subsets of Reproducing Kernel Kreǐn Spaces.

[BibT_eX]

[DOI]

Neural Process. Lett., 2014

A theoretical framework for supervised learning from regions.

[BibT_eX]

[DOI]

Neurocomputing, 2014

On the detection of the level of attention in an orchestra through head movements.

[BibT_eX]

[DOI]

Int. J. Arts Technol., 2014

Evaluation of the Average Packet Delivery Delay in Highly-Disrupted Networks: The DTN and IP-like Protocol Cases.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2014

Approximate dynamic programming for stochastic <i>N</i>-stage optimization with application to optimal consumption under uncertainty.

[BibT_eX]

[DOI]

Mauro Gaggero

Comput. Optim. Appl., 2014

A Survey of SOM-Based Active Contour Models for Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

A Concurrent SOM-Based Chan-Vese Model for Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Sparse solutions to the average consensus problem via l1-norm regularization of the fastest mixing Markov-chain problem.

[BibT_eX]

[DOI]

Rita Morisi

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Optimality Conditions for Coordinate-Convex Policies in CAC With Nonlinear Feasibility Boundaries.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2013

Editorial A Successful Change From TNN to TNNLS and a Very Successful Year.

[BibT_eX]

[DOI]

Eduardo Bayro-Corrochano

IEEE Trans. Neural Networks Learn. Syst., 2013

Learning with Boundary Conditions.

[BibT_eX]

[DOI]

Marco Gori

Neural Comput., 2013

Dynamic Programming and Value-Function Approximation in Sequential Decision Problems: Error Analysis and Numerical Results.

[BibT_eX]

[DOI]

Mauro Gaggero

J. Optim. Theory Appl., 2013

Learning with Hard Constraints.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Towards Automated Analysis of Joint Music Performance in the Orchestra.

[BibT_eX]

[DOI]

Proceedings of the Arts and Technology, Third International Conference, 2013

Expressive Non-verbal Interaction in String Quartet.

[BibT_eX]

[DOI]

Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013

2012

Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure.

[BibT_eX]

[DOI]

Mauro Gaggero

SIAM J. Optim., 2012

New insights into Witsenhausen's counterexample.

[BibT_eX]

[DOI]

Optim. Lett., 2012

A Comparison between Fixed-Basis and Variable-Basis Schemes for Function Approximation and Functional Optimization.

[BibT_eX]

[DOI]

J. Appl. Math., 2012

A Model of Buffer Occupancy for ICNs.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2012

Accuracy of approximations of solutions to Fredholm equations by kernel methods.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2012

An application to two-hop forwarding of a model of buffer occupancy in ICNs.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on System of Systems Engineering, 2012

Approximation structures with moderate complexity in functional optimization and dynamic programming.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

On a Variational Norm Tailored to Variable-Basis Approximation Schemes.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2011

Team optimization problems with Lipschitz continuous strategies.

[BibT_eX]

[DOI]

Optim. Lett., 2011

Can dictionary-based computational models outperform the best linear ones?

[BibT_eX]

[DOI]

Neural Networks, 2011

Some comparisons of complexity in dictionary-based and linear computational models.

[BibT_eX]

[DOI]

Neural Networks, 2011

CAC with Nonlinearly-Constrained Feasibility Regions.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2011

Functional optimization by variable-basis approximation schemes.

[BibT_eX]

[DOI]

4OR, 2011

Structural properties of optimal coordinate-convex policies for CAC with nonlinearly-constrained feasibility regions.

[BibT_eX]

[DOI]

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

A Generalized Stochastic Knapsack Problem with Application in Call Admission Control.

[BibT_eX]

[DOI]

Proceedings of the 10th Cologne-Twente Workshop on graphs and combinatorial optimization. Extended Abstracts, 2011

2010

Error bounds for suboptimal solutions to kernel principal component analysis.

[BibT_eX]

[DOI]

Optim. Lett., 2010

Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data.

[BibT_eX]

[DOI]

Neural Comput., 2010

Minimizing Sequences for a Family of Functional Optimal Estimation Problems.

[BibT_eX]

[DOI]

Angelo Alessandri

J. Optim. Theory Appl., 2010

On spectral windows in supervised learning from data.

[BibT_eX]

[DOI]

Inf. Process. Lett., 2010

Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations.

[BibT_eX]

[DOI]

Proceedings of the SOFSEM 2010: Theory and Practice of Computer Science, 2010

Some Comparisons of Model Complexity in Linear and Neural-Network Approximation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

Regularization and Suboptimal Solutions in Learning from Data.

[BibT_eX]

[DOI]

Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

Accuracy of suboptimal solutions to kernel principal component analysis.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2009

The weight-decay technique in learning from data: an optimization point of view.

[BibT_eX]

[DOI]