# Marcello Sanguineti

According to our database

Collaborative distances:

^{1}, Marcello Sanguineti authored at least 99 papers between 1998 and 2022.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2022

An efficient combined local and global search strategy for optimization of parallel kinematic mechanisms with joint limits and collision constraints.

CoRR, 2022

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

2021

Soft Comput., 2021

Soft Comput., 2021

Networks, 2021

2020

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

IEEE Trans. Hum. Mach. Syst., 2020

Transboundary pollution control and environmental absorption efficiency management.

Ann. Oper. Res., 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

IEEE Trans. Neural Networks Learn. Syst., 2019

Networks, 2019

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

On the Optimal Selection of Motors and Transmissions for a Back-Support Exoskeleton.

Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019

2018

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

Eng. Appl. Artif. Intell., 2018

Probabilistic Bounds on Complexity of Networks Computing Binary Classification Tasks.

Proceedings of the 18th Conference Information Technologies, 2018

2017

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

Soft Comput., 2017

Perform. Evaluation, 2017

Neural Networks, 2017

Neural Comput., 2017

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

2016

Neurocomputing, 2016

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

2015

IEEE Trans. Neural Networks Learn. Syst., 2015

Neural Comput., 2015

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

J. Optim. Theory Appl., 2015

A Multimodal Dataset for the Analysis of Movement Qualities in Karate Martial Art.

EAI Endorsed Trans. Collab. Comput., 2015

Proceedings of the 14th European Control Conference, 2015

2014

Neurocomputing, 2014

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

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 Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

Proceedings of the Handbook on Neural Information Processing, 2013

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

IEEE/ACM Trans. Netw., 2013

Neural Comput., 2013

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

J. Optim. Theory Appl., 2013

Proceedings of the Adaptive and Natural Computing Algorithms, 2013

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

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

2012

Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks.

IEEE Trans. Inf. Theory, 2012

Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure.

SIAM J. Optim., 2012

Optim. Lett., 2012

IEEE Commun. Lett., 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

Optim. Lett., 2011

Neural Networks, 2011

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

Neural Networks, 2011

IEEE Commun. Lett., 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

Inf. Process. Lett., 2010

Comput. Oper. Res., 2010

Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling.

Comput. Optim. 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

The extended Ritz method for functional optimization: overview and applications to single-person and team optimal decision problems.

Optim. Methods Softw., 2009

J. Complex., 2009

Comput. Optim. Appl., 2009

Comput. Manag. Sci., 2009

Comput. Manag. Sci., 2009

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

2008

IEEE Trans. Inf. Theory, 2008

Math. Oper. Res., 2008

Proceedings of the SOFSEM 2008: Theory and Practice of Computer Science, 2008

2007

Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming.

IEEE Trans. Neural Networks, 2007

Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets.

Discret. Appl. Math., 2007

Comput. Optim. Appl., 2007

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006

Design of Parameterized State Observers and Controllers for a Class of Nonlinear Continuous-Time Systems.

Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005

SIAM J. Optim., 2005

Optim. Methods Softw., 2005

J. Math. Model. Algorithms, 2005

J. Complex., 2005

Proceedings of the American Control Conference, 2005

2004

SIAM J. Optim., 2004

2003

Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

Proceedings of the 7th European Control Conference, 2003

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002

IEEE Trans. Neural Networks, 2002

IEEE Trans. Inf. Theory, 2002

Optimized feedforward neural networks for on-line identification of nonlinear models.

Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Proceedings of the American Control Conference, 2002

2001

IEEE Trans. Inf. Theory, 2001

Proceedings of the Artificial Neural Networks, 2001

Proceedings of the 6th European Control Conference, 2001

Proceedings of the American Control Conference, 2001

2000

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

On Dimension-Independent Approximation by Neural Networks and Linear Approximators.

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1999

Some Comparisons Between Linear Approximation and Approximation by Neural Networks.

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

1998

Algorithm of Incremental Approximation Using Variation of a Function with Respect to a Subset.

Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis.

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998