| 2015 | IJCNN | Lattice point sets for efficient kernel smoothing models. | Cristiano Cervellera, Mauro Gaggero, Danilo Macci, Roberto Marcialis |
| 2015 | IJCNN | Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming. | Cristiano Cervellera, Mauro Gaggero, Danilo Macci, Roberto Marcialis |
| 2014 | IJCNN | An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models. | Cristiano Cervellera, Mauro Gaggero, Danilo Macci, Roberto Marcialis |
| 2014 | IJCNN | Lattice sampling for efficient learning with Nadaraya-Watson local models. | Cristiano Cervellera, Mauro Gaggero, Danilo Macci, Roberto Marcialis |
| 2013 | IJCNN | Quasi-random sampling for approximate dynamic programming. | Cristiano Cervellera, Mauro Gaggero, Danilo Macci, Roberto Marcialis |
| 2013 | IJCNN | Function learning with local linear regression models: An analysis based on discrepancy. | Cristiano Cervellera, Danilo Macci, Roberto Marcialis |
| 2002 | IGARSS | Mars electromagnetic environment: insights from field analysis at Earth analogs. | R. Filippini, Roberto Marcialis, Cinthya Ottonello, Sergio Pagnan |