Cristiano Cervellera

64 papers A* 1B 12C 3Journal 41Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Model predictive control of port-city scenarios based on traffic simulation and efficient sampling design.
Expert Syst. Appl.
Cristiano Cervellera, Danilo Macciò
2025 — conf
Assessing Mobility Policies by Traffic Simulation and Change Detection.
EANN (2)
Felipe Bagni, Edoardo Peretti, Danilo Macciò, Cristiano Cervellera, Giacomo Boracchi
2025 J jnl
Binary Voronoi linear trees for the approximate solution of functional optimization problems.
Comput. Appl. Math.
Cristiano Cervellera, Danilo Macciò
2025 B conf
Deep Learning and Low-Discrepancy Sampling for Efficient Approximate Dynamic Programming.
IJCNN
Cristiano Cervellera, Danilo Macciò
2024 J jnl
Model Predictive Control of Port-City Traffic Interactions Over Shared Urban Infrastructure.
IEEE Trans. Control. Syst. Technol.
Cristiano Cervellera, Danilo Macciò, Francesco Rebora
2024 — conf
Simulation and Neural Models for Traffic Light Importance Analysis in Urban Networks.
MESA
Cristiano Cervellera, Danilo Macciò, Francesco Rebora
2023 J jnl
An imitation learning approach for the control of a low-cost low-accuracy robotic arm for unstructured environments.
Int. J. Intell. Robotics Appl.
Fabio Bonsignorio, Cristiano Cervellera, Danilo Macciò, Enrica Zereik
2023 J jnl
Optimized ensemble value function approximation for dynamic programming.
Eur. J. Oper. Res.
Cristiano Cervellera
2022 J jnl
Copula-based scenario generation for urban traffic models.
Expert Syst. Appl.
Cristiano Cervellera, Danilo Macciò, Francesco Rebora
2022 B conf
Echo state network ensembles for surrogate models with an application to urban mobility.
IJCNN
Cristiano Cervellera, Danilo Macciò, Francesco Rebora
2022 J jnl
Improving the variability of urban traffic microsimulation through the calibration of generative parameter models.
J. Intell. Transp. Syst.
Cristiano Cervellera, Danilo Macciò, Francesco Rebora
2021 B conf
Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation.
IJCNN
Cristiano Cervellera, Danilo Macciò, Francesco Rebora
2021 B conf
Policy Optimization for Berth Allocation Problems.
IJCNN
Cristiano Cervellera, Mauro Gaggero, Danilo Macciò
2020 J jnl
Learning Robustly Stabilizing Explicit Model Predictive Controllers: A Non-Regular Sampling Approach.
IEEE Control. Syst. Lett.
Cristiano Cervellera, Danilo Macciò, Thomas Parisini
2020 J jnl
Voronoi tree models for distribution-preserving sampling and generation.
Pattern Recognit.
Cristiano Cervellera, Danilo Macciò
2019 J jnl
An Improved Load Flow Method for MV Networks Based on LV Load Measurements and Estimations.
IEEE Trans. Instrum. Meas.
Antonio Cataliotti, Cristiano Cervellera, Valentina Cosentino, Dario Di Cara, Mauro Gaggero, Danilo Macciò, Giuseppe Marsala, Antonella Ragusa, Giovanni Tinè
2018 J jnl
Distribution-Preserving Stratified Sampling for Learning Problems.
IEEE Trans. Neural Networks Learn. Syst.
Cristiano Cervellera, Danilo Macciò
2018 A* conf
QuantTree: Histograms for Change Detection in Multivariate Data Streams.
ICML
Giacomo Boracchi, Diego Carrera, Cristiano Cervellera, Danilo Macciò
2017 J jnl
A Novel Approach for Sampling in Approximate Dynamic Programming Based on F-Discrepancy.
IEEE Trans. Cybern.
Cristiano Cervellera, Danilo Macciò
2017 J jnl
An Extreme Learning Machine Approach to Density Estimation Problems.
IEEE Trans. Cybern.
Cristiano Cervellera, Danilo Macciò
2017 B conf
Uniform histograms for change detection in multivariate data.
IJCNN
Giacomo Boracchi, Cristiano Cervellera, Danilo Macciò
2016 J jnl
F-Discrepancy for Efficient Sampling in Approximate Dynamic Programming.
IEEE Trans. Cybern.
Cristiano Cervellera, Danilo Macciò
2016 J jnl
Low-Discrepancy Points for Deterministic Assignment of Hidden Weights in Extreme Learning Machines.
IEEE Trans. Neural Networks Learn. Syst.
Cristiano Cervellera, Danilo Macciò
2015 B conf
Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming.
IJCNN
Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis
2015 B conf
Lattice point sets for efficient kernel smoothing models.
IJCNN
Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis
2014 B conf
An analysis based on F-discrepancy for sampling in regression tree learning.
IJCNN
Cristiano Cervellera, Mauro Gaggero, Danilo Macciò
2014 B conf
An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models.
IJCNN
Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis
2014 B conf
Lattice sampling for efficient learning with Nadaraya-Watson local models.
IJCNN
Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis
2014 J jnl
Local Linear Regression for Function Learning: An Analysis Based on Sample Discrepancy.
IEEE Trans. Neural Networks Learn. Syst.
Cristiano Cervellera, Danilo Macciò
2014 J jnl
Low-discrepancy sampling for approximate dynamic programming with local approximators.
Comput. Oper. Res.
Cristiano Cervellera, Mauro Gaggero, Danilo Macciò
2014 J jnl
Modelling of Fault Detection and Diagnostics for Hybrid Bus Using Chain Graph Models.
Qual. Reliab. Eng. Int.
Diana Flaccadoro, Cristiano Cervellera, Giorgio Bosia, Eva Riccomagno
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
Function learning with local linear regression models: An analysis based on discrepancy.
IJCNN
Cristiano Cervellera, Danilo Macciò, Roberto Marcialis
2013 J jnl
Learning With Kernel Smoothing Models and Low-Discrepancy Sampling.
IEEE Trans. Neural Networks Learn. Syst.
Cristiano Cervellera, Danilo Macciò
2013 J jnl
Predictive Control of Container Flows in Maritime Intermodal Terminals.
IEEE Trans. Control. Syst. Technol.
Angelo Alessandri, Cristiano Cervellera, Mauro Gaggero
2013 B conf
Quasi-random sampling for approximate dynamic programming.
IJCNN
Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis
2012 J jnl
Efficient kernel models for learning and approximate minimization problems.
Neurocomputing
Cristiano Cervellera, Mauro Gaggero, Danilo Macciò
2012 J jnl
Local Models for data-driven learning of control policies for complex systems.
Expert Syst. Appl.
Danilo Macciò, Cristiano Cervellera
2011 J jnl
A comparison of global and semi-local approximation in T-stage stochastic optimization.
Eur. J. Oper. Res.
Cristiano Cervellera, Danilo Macciò
2011 J jnl
A numerical method for minimum distance estimation problems.
J. Multivar. Anal.
Cristiano Cervellera, Danilo Macciò
2011 J jnl
An Optimized Content Replication and Distribution Framework for Vehicular Networks.
J. Intell. Transp. Syst.
Luca Caviglione, Cristiano Cervellera
2011 J jnl
Design, optimization and performance evaluation of a content distribution overlay for streaming.
Comput. Commun.
Luca Caviglione, Cristiano Cervellera
2010 J jnl
Efficient global maximum likelihood estimation through kernel methods.
Neural Networks
Cristiano Cervellera, Danilo Macciò, Marco Muselli
2010 J jnl
Functional Optimization Through Semilocal Approximate Minimization.
Oper. Res.
Cristiano Cervellera, Danilo Macciò, Marco Muselli
2010 J jnl
Lattice point sets for deterministic learning and approximate optimization problems.
IEEE Trans. Neural Networks
Cristiano Cervellera
2010 J jnl
Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling.
Comput. Optim. Appl.
Marco Baglietto, Cristiano Cervellera, Marcello Sanguineti, Riccardo Zoppoli
2009 J jnl
Optimization of a peer-to-peer system for efficient content replication.
Eur. J. Oper. Res.
Cristiano Cervellera, Luca Caviglione
2008 J jnl
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks.
IEEE Trans. Neural Networks
Cristiano Cervellera, Danilo Macciò, Marco Muselli
2008 J jnl
Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals.
IEEE Trans. Intell. Transp. Syst.
Angelo Alessandri, Cristiano Cervellera, Marta Cuneo, Mauro Gaggero, G. Soncin
2008 — conf
Nonlinear predictive control for the management of container flows in maritime intermodal terminals.
CDC
Angelo Alessandri, Cristiano Cervellera, Marta Cuneo, Mauro Gaggero
2008 J jnl
Optimization of an eMule-like modifier strategy.
Comput. Commun.
Luca Caviglione, Cristiano Cervellera, Franco Davoli, Filippo Aldo Grassia
2007 J jnl
Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming.
IEEE Trans. Neural Networks
Angelo Alessandri, Cristiano Cervellera, Marcello Sanguineti
2007 J jnl
Design of a peer-to-peer system for optimized content replication.
Comput. Commun.
Luca Caviglione, Cristiano Cervellera
2007 J jnl
Efficient sampling in approximate dynamic programming algorithms.
Comput. Optim. Appl.
Cristiano Cervellera, Marco Muselli
2007 J jnl
Neural network and regression spline value function approximations for stochastic dynamic programming.
Comput. Oper. Res.
Cristiano Cervellera, Aihong Wen, Victoria C. P. Chen
2006 — conf
Design of Parameterized State Observers and Controllers for a Class of Nonlinear Continuous-Time Systems.
CDC
Angelo Alessandri, Cristiano Cervellera, Danilo Macciò, Marcello Sanguineti
2006 J jnl
Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization.
Eur. J. Oper. Res.
Cristiano Cervellera, Victoria C. P. Chen, Aihong Wen
2005 C conf
An approximate solution to optimal L
ACC
Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia, Marcello Sanguineti
2004 C conf
Design of observers for continuous-time nonlinear systems using neural networks.
ACC
Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia, Marcello Sanguineti
2004 J jnl
Deterministic design for neural network learning: an approach based on discrepancy.
IEEE Trans. Neural Networks
Cristiano Cervellera, Marco Muselli
2003 — conf
A Deterministic Learning Approch Based on Discrepancy.
WIRN
Cristiano Cervellera, Marco Muselli
2003 — conf
Application of neural control to economic growth problems.
CIFEr
Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia
2002 — conf
Optimal neural feedback control applied to a problem of economic growth in freight transport market.
CDC
Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia
2000 C conf
Approximating networks, dynamic programming and stochastic approximation.
ACC
Marco Baglietto, Cristiano Cervellera, Thomas Parisini, Marcello Sanguineti, N. Zoppoli