Mars electromagnetic environment: insights from field analysis at Earth analogs. - R. Filippini; Roberto Marcialis; Cinthya Ottonello; Sergio Pagnan (IGARSS, 2002)

Quasi-random sampling for approximate dynamic programming. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò; Roberto Marcialis (IJCNN, 2013)

Function learning with local linear regression models: An analysis based on discrepancy. - Cristiano Cervellera; Danilo Macciò; Roberto Marcialis (IJCNN, 2013)

An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò; Roberto Marcialis (IJCNN, 2014)

Lattice sampling for efficient learning with Nadaraya-Watson local models. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò; Roberto Marcialis (IJCNN, 2014)

Lattice point sets for efficient kernel smoothing models. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò; Roberto Marcialis (IJCNN, 2015)

Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming. - Cristiano Cervellera; Mauro Gaggero; Danilo Macciò; Roberto Marcialis (IJCNN, 2015)