 | 2011 |
| 17 |  | Luca Caviglione,
Cristiano Cervellera:
Design, optimization and performance evaluation of a content distribution overlay for streaming.
Computer Communications 34(12): 1497-1509 (2011) |
| 16 |  | Cristiano Cervellera,
Danilo Macciò:
A comparison of global and semi-local approximation in T-stage stochastic optimization.
European Journal of Operational Research 208(2): 109-118 (2011) |
| 15 |  | Cristiano Cervellera,
Danilo Macciò:
A numerical method for minimum distance estimation problems.
J. Multivariate Analysis 102(4): 789-800 (2011) |
| 2010 |
| 14 |  | Cristiano Cervellera:
Lattice point sets for deterministic learning and approximate optimization problems.
IEEE Transactions on Neural Networks 21(4): 687-692 (2010) |
| 13 |  | Cristiano Cervellera,
Danilo Macciò,
Marco Muselli:
Efficient global maximum likelihood estimation through kernel methods.
Neural Networks 23(7): 917-925 (2010) |
| 12 |  | Cristiano Cervellera,
Danilo Macciò,
Marco Muselli:
Functional Optimization Through Semilocal Approximate Minimization.
Operations Research 58(5): 1491-1504 (2010) |
| 2009 |
| 11 |  | Cristiano Cervellera,
Luca Caviglione:
Optimization of a peer-to-peer system for efficient content replication.
European Journal of Operational Research 196(2): 423-433 (2009) |
| 2008 |
| 10 |  | Angelo Alessandri,
Cristiano Cervellera,
Marta Cuneo,
Mauro Gaggero:
Nonlinear predictive control for the management of container flows in maritime intermodal terminals.
CDC 2008: 2800-2805 |
| 9 |  | Luca Caviglione,
Cristiano Cervellera,
Franco Davoli,
Filippo Aldo Grassia:
Optimization of an eMule-like modifier strategy.
Computer Communications 31(16): 3876-3882 (2008) |
| 8 |  | Angelo Alessandri,
Cristiano Cervellera,
Marta Cuneo,
Mauro Gaggero,
G. Soncin:
Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals.
IEEE Transactions on Intelligent Transportation Systems 9(4): 601-614 (2008) |
| 7 |  | Cristiano Cervellera,
Danilo Macciò,
Marco Muselli:
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks.
IEEE Transactions on Neural Networks 19(8): 1456-1467 (2008) |
| 2007 |
| 6 |  | Luca Caviglione,
Cristiano Cervellera:
Design of a peer-to-peer system for optimized content replication.
Computer Communications 30(16): 3107-3116 (2007) |
| 5 |  | Cristiano Cervellera,
Aihong Wen,
Victoria C. P. Chen:
Neural network and regression spline value function approximations for stochastic dynamic programming.
Computers & OR 34(1): 70-90 (2007) |
| 4 |  | Angelo Alessandri,
Cristiano Cervellera,
Marcello Sanguineti:
Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming.
IEEE Transactions on Neural Networks 18(1): 86-96 (2007) |
| 2006 |
| 3 |  | Cristiano Cervellera,
Victoria C. P. Chen,
Aihong Wen:
Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization.
European Journal of Operational Research 171(3): 1139-1151 (2006) |
| 2004 |
| 2 |  | Cristiano Cervellera,
Marco Muselli:
Deterministic design for neural network learning: an approach based on discrepancy.
IEEE Transactions on Neural Networks 15(3): 533-544 (2004) |
| 2003 |
| 1 |  | Cristiano Cervellera,
Marco Muselli:
A Deterministic Learning Approch Based on Discrepancy.
WIRN 2003: 53-60 |