Renzo Canepa

According to our database, Renzo Canepa authored at least 13 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

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

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

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

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

Proceedings of the Recent Advances in Big Data and Deep Learning, 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

Proceedings of the Recent Advances in Big Data and Deep Learning, 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

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Train Overtaking Prediction in Railway Networks: A Big Data Perspective.

Luca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them?

Charlotte Ducuing, Luca Oneto, Renzo Canepa

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

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

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

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

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

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

Proceedings of the Advances in Big Data, 2016

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

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016