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CERVELLERA, CRISTIANO

CERVELLERA, CRISTIANO  

Istituto di iNgegneria del Mare - INM (ex INSEAN) - Sede Secondaria Genova  

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Risultati 1 - 20 di 41 (tempo di esecuzione: 0.047 secondi).
Titolo Data di pubblicazione Autore(i) File
Model Predictive Control of Port–City Traffic Interactions Over Shared Urban Infrastructure 1-gen-2024 Cervellera, Cristiano; Maccio', Danilo; Rebora, Francesco
Optimized ensemble value function approximation for dynamic programming 1-gen-2023 Cervellera, Cristiano
An imitation learning approach for the control of a low-cost low-accuracy robotic arm for unstructured environments 1-gen-2022 Bonsignorio, Fabio; Cervellera, Cristiano; Maccio', Danilo; Zereik, Enrica
Copula-based scenario generation for urban traffic models 1-gen-2022 Cervellera, Cristiano; Maccio', Danilo; Rebora, Francesco
Improving the variability of urban traffic microsimulation through the calibration of generative parameter models 1-gen-2021 Cervellera, Cristiano; Maccio', Danilo; Rebora, Francesco
Learning Robustly Stabilizing Explicit Model Predictive Controllers: A Non-Regular Sampling Approach 1-gen-2020 Cervellera, Cristiano; Maccio', Danilo; Parisini, Thomas
Voronoi tree models for distribution-preserving sampling and generation 1-gen-2020 Cervellera, Cristiano; Maccio', Danilo
An improved load flow method for MV networks based on LV load measurements and estimations 1-gen-2019 Cataliotti, A; Cervellera, C; Cosentino, V; DI CARA, Dario; Gaggero, M; Macciò, D; Marsala, G; Ragusa, A; Tinè, G
Distribution-Preserving Stratified Sampling for Learning Problems 1-gen-2018 Cervellera, Cristiano; Maccio, Danilo
A Novel Approach for Sampling in Approximate Dynamic Programming Based on F -Discrepancy 1-gen-2017 Cervellera, C; Macciò, D
An Extreme Learning Machine Approach to Density Estimation Problems 1-gen-2017 Cervellera, C; Macciò, D
Lattice point sets for state sampling in approximate dynamic programming 1-gen-2017 C. Cervellera; M. Gaggero; D. Maccio
F-Discrepancy for Efficient Sampling in Approximate Dynamic Programming 1-gen-2016 Cervellera, C; Macciò, D
Low-Discrepancy Points for Deterministic Assignment of Hidden Weights in Extreme Learning Machines 1-gen-2016 Cervellera C.; Maccio D.
Local Linear Regression for Function Learning: An Analysis Based on Sample Discrepancy 1-gen-2014 Cervellera, Cristiano; Macciò, Danilo
Modelling of Fault Detection and Diagnostics for Hybrid Bus Using Chain Graph Models 1-gen-2014 Flaccadoro, Diana; Cervellera, Cristiano; Bosia, Giorgio; Riccomagno, Eva
A Successful Change from TNN to TNNLS and a Very Successful Year 1-gen-2013 Anderson, Charles; Azar, Ahmad Taher; Battistelli, Giorgio; BayroCorrochano, Eduardo; Cervellera, Cristiano; Elizondo, David; Filippone, Maurizio; Gnecco, Giorgio; Hu, Xiaolin; Huang, Tingwen; Liu, Weifeng; Lu, Wenlian; Madureira, Ana Maria; Skrjanc, Igor; Villmann, Thomas; Wu, Jonathan; Xie, Shengli; Xu, Dong; Liu, Derong
Predictive control of container flows in maritime intermodal terminals 1-gen-2013 Alessandri, A; Cervellera, C; Gaggero, M
Efficient kernel models for learning and approximate minimization problems 1-gen-2012 Cervellera, C; Gaggero, M; Maccio, D
A comparison of global and semi-local approximation in T-stage stochastic optimization 1-gen-2011 Cervellera, C; Macciò, D