52 results on '"Cervellera, Cristiano"'
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2. Model-Predictive Control of Traffic Emissions in Port-City Environments
3. A Receding Horizon Approach for Berth Allocation Based on Random Search Optimization
4. Gradient Boosting with Extreme Learning Machines for the Optimization of Nonlinear Functionals
5. Model Predictive Control of Port–City Traffic Interactions Over Shared Urban Infrastructure
6. Optimized ensemble value function approximation for dynamic programming
7. Copula-based scenario generation for urban traffic models
8. An imitation learning approach for the control of a low-cost low-accuracy robotic arm for unstructured environments
9. Echo state network ensembles for surrogate models with an application to urban mobility
10. Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation
11. Policy Optimization for Berth Allocation Problems
12. Improving the variability of urban traffic microsimulation through the calibration of generative parameter models
13. Learning Robustly Stabilizing Explicit Model Predictive Controllers: A Non-Regular Sampling Approach
14. Voronoi tree models for distribution-preserving sampling and generation
15. A preliminary experiment combining marine robotics and citizenship engagement using imitation learning
16. Water reservoirs management under uncertainty by approximating networks and learning from data
17. Deterministic Learning and an Application in Optimal Control
18. A Deterministic Learning Approach Based on Discrepancy
19. An Improved Load Flow Method for MV Networks Based on LV Load Measurements and Estimations
20. A Novel Approach for Sampling in Approximate Dynamic Programming Based on $F$ -Discrepancy
21. An Extreme Learning Machine Approach to Density Estimation Problems
22. Lattice point sets for state sampling in approximate dynamic programming
23. Uniform histograms for change detection in multivariate data
24. Distribution-Preserving Stratified Sampling for Learning Problems
25. $F$-Discrepancy for Efficient Sampling in Approximate Dynamic Programming
26. Low-Discrepancy Points for Deterministic Assignment of Hidden Weights in Extreme Learning Machines
27. Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming
28. Lattice point sets for efficient kernel smoothing models
29. Local Linear Regression for Function Learning: An Analysis Based on Sample Discrepancy
30. Modelling of Fault Detection and Diagnostics for Hybrid Bus Using Chain Graph Models
31. An analysis based on F-discrepancy for sampling in regression tree learning
32. Lattice sampling for efficient learning with Nadaraya-Watson local models
33. An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models
34. Quasi-random sampling for approximate dynamic programming
35. Function learning with local linear regression models: An analysis based on discrepancy
36. Predictive Control of Container Flows in Maritime Intermodal Terminals
37. Learning With Kernel Smoothing Models and Low-Discrepancy Sampling
38. Editorial A Successful Change From TNN to TNNLS and a Very Successful Year
39. An Optimized Content Replication and Distribution Framework for Vehicular Networks
40. Design, optimization and performance evaluation of a content distribution overlay for streaming
41. Functional Optimization Through Semilocal Approximate Minimization
42. Efficient global maximum likelihood estimation through kernel methods
43. Optimization of a peer-to-peer system for efficient content replication
44. Management of logistics operations in intermodal terminals by using dynamic modelling and nonlinear programming
45. Optimization of an eMule-like modifier strategy
46. Design of a peer-to-peer system for optimized content replication
47. Efficient sampling in approximate dynamic programming algorithms
48. Neural network and regression spline value function approximations for stochastic dynamic programming
49. Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming
50. Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization
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