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 (DSAA, 2016)

Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics. - Luca Oneto; Emanuele Fumeo; Giorgio Clerico; Renzo Canepa; Federico Papa; Carlo Dambra; Nadia Mazzino; Davide Anguita (INNS Conference on Big Data, 2016)

Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout. - Luca Oneto; Emanuele Fumeo; Giorgio Clerico; Renzo Canepa; Federico Papa; Carlo Dambra; Nadia Mazzino; Davide Anguita (IEEE Trans. Syst. Man Cybern. Syst., 2017)

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 (DSAA, 2018)

Train Delay Prediction Systems: A Big Data Analytics Perspective. - Luca Oneto; Emanuele Fumeo; Giorgio Clerico; Renzo Canepa; Federico Papa; Carlo Dambra; Nadia Mazzino; Davide Anguita (Big Data Res., 2018)

Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them? - Charlotte Ducuing; Luca Oneto; Renzo Canepa (ESANN, 2019)

Train Overtaking Prediction in Railway Networks: A Big Data Perspective. - Luca Oneto; Irene Buselli; Alessandro Lulli; Renzo Canepa; Simone Petralli; Davide Anguita (INNSBDDL, 2019)

Restoration Time Prediction in Large Scale Railway Networks: Big Data and Interpretability. - Luca Oneto; Irene Buselli; Paolo Sanetti; Renzo Canepa; Simone Petralli; Davide Anguita (INNSBDDL, 2019)

Visual Analytics for Supporting Conflict Resolution in Large Railway Networks. - Udo Schlegel; Wolfgang Jentner; Juri Buchmüller; Eren Cakmak; Giuliano Castiglia; Renzo Canepa; Simone Petralli; Luca Oneto; Daniel A. Keim; Davide Anguita (INNSBDDL, 2019)

Improving Railway Maintenance Actions with Big Data and Distributed Ledger Technologies. - Roberto Spigolon; Luca Oneto; Dimitar Anastasovski; Nadia Fabrizio; Marie Swiatek; Renzo Canepa; Davide Anguita (INNSBDDL, 2019)

A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks. - Luca Oneto; Irene Buselli; Alessandro Lulli; Renzo Canepa; Simone Petralli; Davide Anguita (Int. J. Data Sci. Anal., 2020)

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 (ESANN, 2021)

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 (ESANN, 2022)