| 2022 | ESANN | Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets. | Luca Oneto, Simone Minisi, Andrea Garrone, Renzo Canepa, Carlo Dambra, Davide Anguita |
| 2021 | ESANN | In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models. | Gianluca Boleto, Luca Oneto, Matteo Cardellini, Marco Maratea, Mauro Vallati, Renzo Canepa, Davide Anguita |
| 2019 | ESANN | Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them? | Charlotte Ducuing, Luca Oneto, Renzo Canepa |
| 2018 | DSAA | Large-Scale Railway Networks Train Movements: A Dynamic, Interpretable, and Robust Hybrid Data Analytics System. | Alessandro Lulli, Luca Oneto, Renzo Canepa, Simone Petralli, Davide Anguita |
| 2016 | DSAA | Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data. | Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita |