Giorgio Gnecco
Orcid: 0000-0002-5427-4328
According to our database1,
Giorgio Gnecco
authored at least 106 papers
between 2009 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Artificial intelligence for breast cancer detection and its health technology assessment: A scoping review.
Comput. Biol. Medicine, 2025
2024
Prediction of annual CO<sub>2</sub> emissions at the country and sector levels, based on a matrix completion optimization problem.
Optim. Lett., December, 2024
Appl. Netw. Sci., December, 2024
Soft Comput., September, 2024
Proceedings of the Discovery Science Late Breaking Contributions 2024 (DS-LB 2024) co-located with 27th International Conference Discovery Science 2024 (DS 2024), 2024
Iterative Design of Two Art-Inspired Experimental Scenarios for Collecting Expressive Movement Data of Individuals and Groups.
Proceedings of the 2024 International Conference on Advanced Visual Interfaces, 2024
2023
Ann. Oper. Res., June, 2023
Counter-Example Guided Inductive Synthesis of Control Lyapunov Functions for Uncertain Systems.
IEEE Control. Syst. Lett., 2023
Stock Price Time Series Forecasting Using Dynamic Graph Neural Networks and Attention Mechanism in Recurrent Neural Networks.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
Improving Output Visualization of an Algorithm for the Automated Detection of the Perceived Origin of Movement.
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".
Proceedings of the Intelligent Technologies for Interactive Entertainment, 2023
Proceedings of the Complex Networks & Their Applications XII, 2023
2022
Minds Mach., 2022
A game-theoretic approach for reliability evaluation of public transportation transfers with stochastic features.
EURO J. Transp. Logist., 2022
Hierarchical Clustering and Matrix Completion for the Reconstruction of World Input-Output Tables.
CoRR, 2022
Welfare and research and development incentive effects of uniform and differential pricing schemes.
Comput. Manag. Sci., 2022
Matrix Completion for the Prediction of Yearly Country and Industry-Level CO<sub>2</sub> Emissions.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
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.
Optim. Lett., 2021
Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model.
Mach. Learn., 2021
Convex combination of data matrices: PCA perturbation bounds for multi-objective optimal design of mechanical metafilters.
Math. Found. Comput., 2021
Principal Component Analysis Applied to Gradient Fields in Band Gap Optimization Problems for Metamaterials.
CoRR, 2021
On Principal Component Analysis of the Convex Combination of Two Data Matrices and Its Application to Acoustic Metamaterial Filters.
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.
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.
Soft Comput., 2020
J. Optim. Theory Appl., 2020
Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms.
Int. J. Data Sci. Anal., 2020
Ann. Oper. Res., 2020
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
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.
Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020
2019
Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach.
CoRR, 2019
Optimal Trade-Off Between Sample Size and Precision of Supervision for the Fixed Effects Panel Data Model.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019
On the Trade-Off Between Number of Examples and Precision of Supervision in Regression.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
2018
Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems.
Neurocomputing, 2018
Neural approximations in discounted infinite-horizon stochastic optimal control problems.
Eng. Appl. Artif. Intell., 2018
Strong Convexity and Smoothness of Solutions to Geometric Optics Problems via Dynamic Programming.
IEEE Control. Syst. Lett., 2018
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
2017
Soft Comput., 2017
Perform. Evaluation, 2017
Optim. Lett., 2017
Proceedings of the 4th International Conference on Movement Computing, 2017
2016
ACM Trans. Interact. Intell. Syst., 2016
A hierarchical consensus method for the approximation of the consensus state, based on clustering and spectral graph theory.
Eng. Appl. Artif. Intell., 2016
Proceedings of the Machine Learning, Optimization, and Big Data, 2016
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.
IEEE Trans. Netw. Sci. Eng., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Narrowing the Search for Optimal Call-Admission Policies Via a Nonlinear Stochastic Knapsack Model.
J. Optim. Theory Appl., 2015
Expressive non-verbal interaction in a string quartet: an analysis through head movements.
J. Multimodal User Interfaces, 2015
Neurocomputing, 2015
On the Relationship between Variational Level Set-Based and SOM-Based Active Contours.
Comput. Intell. Neurosci., 2015
Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015
Proceedings of the 14th European Control Conference, 2015
2014
Neural Process. Lett., 2014
Int. J. Arts Technol., 2014
Evaluation of the Average Packet Delivery Delay in Highly-Disrupted Networks: The DTN and IP-like Protocol Cases.
IEEE Commun. Lett., 2014
Approximate dynamic programming for stochastic <i>N</i>-stage optimization with application to optimal consumption under uncertainty.
Comput. Optim. Appl., 2014
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
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.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
Optimality Conditions for Coordinate-Convex Policies in CAC With Nonlinear Feasibility Boundaries.
IEEE/ACM Trans. Netw., 2013
IEEE Trans. Neural Networks Learn. Syst., 2013
Dynamic Programming and Value-Function Approximation in Sequential Decision Problems: Error Analysis and Numerical Results.
J. Optim. Theory Appl., 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
Proceedings of the Arts and Technology, Third International Conference, 2013
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.
SIAM J. Optim., 2012
A Comparison between Fixed-Basis and Variable-Basis Schemes for Function Approximation and Functional Optimization.
J. Appl. Math., 2012
Appl. Math. Comput., 2012
Proceedings of the 7th International Conference on System of Systems Engineering, 2012
Approximation structures with moderate complexity in functional optimization and dynamic programming.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
IEEE Trans. Inf. Theory, 2011
Neural Networks, 2011
Neural Networks, 2011
Structural properties of optimal coordinate-convex policies for CAC with nonlinearly-constrained feasibility regions.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011
Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
A Generalized Stochastic Knapsack Problem with Application in Call Admission Control.
Proceedings of the 10th Cologne-Twente Workshop on graphs and combinatorial optimization. Extended Abstracts, 2011
2010
Optim. Lett., 2010
Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data.
Neural Comput., 2010
J. Optim. Theory Appl., 2010
Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations.
Proceedings of the SOFSEM 2010: Theory and Practice of Computer Science, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
2009
Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009
Comput. Optim. Appl., 2009
Comput. Manag. Sci., 2009