Renzo Canepa

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 13

Top Topics

Data Intensive Computing

Extreme Learning Machines

Top Venues

Publications

Luca Oneto, Simone Minisi, Andrea Garrone, Renzo Canepa, Carlo Dambra, Davide Anguita
Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets. ESANN (2022)
Gianluca Boleto, Luca Oneto, Matteo Cardellini, Marco Maratea, Mauro Vallati, Renzo Canepa, Davide Anguita
In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models. ESANN (2021)
Luca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita
A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks. Int. J. Data Sci. Anal. 9 (1) (2020)
Udo Schlegel, Wolfgang Jentner, Juri Buchmüller, Eren Cakmak, Giuliano Castiglia, Renzo Canepa, Simone Petralli, Luca Oneto, Daniel A. Keim, Davide Anguita
Visual Analytics for Supporting Conflict Resolution in Large Railway Networks. INNSBDDL (2019)
Luca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita
Train Overtaking Prediction in Railway Networks: A Big Data Perspective. INNSBDDL (2019)
Roberto Spigolon, Luca Oneto, Dimitar Anastasovski, Nadia Fabrizio, Marie Swiatek, Renzo Canepa, Davide Anguita
Improving Railway Maintenance Actions with Big Data and Distributed Ledger Technologies. INNSBDDL (2019)
Charlotte Ducuing, Luca Oneto, Renzo Canepa
Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them? ESANN (2019)
Luca Oneto, Irene Buselli, Paolo Sanetti, Renzo Canepa, Simone Petralli, Davide Anguita
Restoration Time Prediction in Large Scale Railway Networks: Big Data and Interpretability. INNSBDDL (2019)
Alessandro Lulli, Luca Oneto, Renzo Canepa, Simone Petralli, Davide Anguita
Large-Scale Railway Networks Train Movements: A Dynamic, Interpretable, and Robust Hybrid Data Analytics System. DSAA (2018)
Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita
Train Delay Prediction Systems: A Big Data Analytics Perspective. Big Data Res. 11 (2018)
Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita
Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout. IEEE Trans. Syst. Man Cybern. Syst. 47 (10) (2017)
Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita
Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data. DSAA (2016)
Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita
Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics. INNS Conference on Big Data (2016)