Evaluating Unsupervised Anomaly Detection Models to Detect Faults in Heavy Haul Railway Operations

David F. N. Oliveira, Marcelo M. Neves, Lucio Flavio Vismari, Jorge Rady de Almeida Jr., Paulo Sérgio Cugnasca, João Batista Camargo Jr., Eduardo M. G. Rodrigues, Debora R. Doimo, Leandro P. F. de Almeida, Rafael Gripp. Evaluating Unsupervised Anomaly Detection Models to Detect Faults in Heavy Haul Railway Operations. In M. Arif Wani, Taghi M. Khoshgoftaar, Dingding Wang 0001, Huanjing Wang, Naeem Seliya, editors, 18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019. pages 1016-1022, IEEE, 2019. [doi]

@inproceedings{OliveiraNVACCRD19,
  title = {Evaluating Unsupervised Anomaly Detection Models to Detect Faults in Heavy Haul Railway Operations},
  author = {David F. N. Oliveira and Marcelo M. Neves and Lucio Flavio Vismari and Jorge Rady de Almeida Jr. and Paulo Sérgio Cugnasca and João Batista Camargo Jr. and Eduardo M. G. Rodrigues and Debora R. Doimo and Leandro P. F. de Almeida and Rafael Gripp},
  year = {2019},
  doi = {10.1109/ICMLA.2019.00172},
  url = {https://doi.org/10.1109/ICMLA.2019.00172},
  researchr = {https://researchr.org/publication/OliveiraNVACCRD19},
  cites = {0},
  citedby = {0},
  pages = {1016-1022},
  booktitle = {18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019},
  editor = {M. Arif Wani and Taghi M. Khoshgoftaar and Dingding Wang 0001 and Huanjing Wang and Naeem Seliya},
  publisher = {IEEE},
  isbn = {978-1-7281-4550-1},
}