| 2025 | EANN | Assessing Mobility Policies by Traffic Simulation and Change Detection. | Felipe Bagni, Edoardo Peretti, Danilo Macci, Cristiano Cervellera, Giacomo Boracchi |
| 2025 | IJCNN | Deep Learning and Low-Discrepancy Sampling for Efficient Approximate Dynamic Programming. | Cristiano Cervellera, Danilo Macci |
| 2022 | IJCNN | Echo state network ensembles for surrogate models with an application to urban mobility. | Cristiano Cervellera, Danilo Macci, Francesco Rebora |
| 2021 | IJCNN | Policy Optimization for Berth Allocation Problems. | Cristiano Cervellera, Mauro Gaggero, Danilo Macci |
| 2021 | IJCNN | Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation. | Cristiano Cervellera, Danilo Macci, Francesco Rebora |
| 2018 | ICML | QuantTree: Histograms for Change Detection in Multivariate Data Streams. | Giacomo Boracchi, Diego Carrera, Cristiano Cervellera, Danilo Macci |
| 2017 | IJCNN | Uniform histograms for change detection in multivariate data. | Giacomo Boracchi, Cristiano Cervellera, Danilo Macci |
| 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 analysis based on F-discrepancy for sampling in regression tree learning. | Cristiano Cervellera, Mauro Gaggero, Danilo Macci |
| 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 |