MACCIO', DANILO

MACCIO', DANILO  

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

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Titolo Data di pubblicazione Autore(i) File
Ensemble Aggregation Approaches for Functional Optimization 1-gen-2024 Cervellera, Cristiano; Maccio', Danilo; Marcello Sanguineti, And
Model Predictive Control of Port–City Traffic Interactions Over Shared Urban Infrastructure 1-gen-2024 Cervellera, Cristiano; Maccio', Danilo; Rebora, Francesco
Model-Predictive Control of Traffic Emissions in Port-City Environments 1-gen-2024 Cervellera, Cristiano; Maccio', Danilo
Simulation and Neural Models for Traffic Light Importance Analysis in Urban Networks 1-gen-2024 Cervellera, Cristiano; Maccio', Danilo; Rebora, Francesco
Receding-horizon dynamic optimization of port-city traffic interactions over shared urban infrastructure 1-gen-2023 Cervellera, C; Macciò, D; Rebora, F
Voronoi recursive binary trees for the optimization of nonlinear functionals 1-gen-2023 Cervellera, C; Macciò, D; Rebora, F
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
Echo state network ensembles for surrogate models with an application to urban mobility 1-gen-2022 Cervellera, Cristiano; Macciò, Danilo; Rebora, Francesco
Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation 1-gen-2021 Cervellera, Cristiano; Macciò, 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
Policy optimization for berth allocation problems 1-gen-2021 Cervellera, C; Gaggero, M; Maccio, D
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
Gradient Boosting with Extreme Learning Machines for the Optimization of Nonlinear Functionals 1-gen-2019 Cervellera, C; Macciò, D
Lattice point sets for state sampling in approximate dynamic programming 1-gen-2017 C. Cervellera; M. Gaggero; D. Maccio
Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming 1-gen-2015 C. Cervellera; M. Gaggero; D. Maccio; R. Marcialis
Efficient kernel models for learning and approximate minimization problems 1-gen-2012 Cervellera, C; Gaggero, M; Maccio, D