A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks. Oneto, L., Buselli, I., Lulli, A., Canepa, R., Petralli, S., & Anguita, D. Int. J. Data Sci. Anal., 9(1):95–111, 2020.
A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks [link]Paper  doi  bibtex   
@article{DBLP:journals/ijdsa/OnetoBLCPA20,
  author    = {Luca Oneto and
               Irene Buselli and
               Alessandro Lulli and
               Renzo Canepa and
               Simone Petralli and
               Davide Anguita},
  title     = {A dynamic, interpretable, and robust hybrid data analytics system
               for train movements in large-scale railway networks},
  journal   = {Int. J. Data Sci. Anal.},
  volume    = {9},
  number    = {1},
  pages     = {95--111},
  year      = {2020},
  url       = {https://doi.org/10.1007/s41060-018-00171-z},
  doi       = {10.1007/s41060-018-00171-z},
  timestamp = {Thu, 13 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/ijdsa/OnetoBLCPA20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
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