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

David F. N. OliveiraMarcelo M. NevesLucio Flavio VismariJorge Rady de Almeida Jr.Paulo Sérgio CugnascaJoão Batista Camargo Jr.Eduardo M. G. RodriguesDebora R. DoimoLeandro P. F. de AlmeidaRafael Gripp
Published in: ICMLA (2019)
Keyphrases
  • probabilistic model
  • data sets
  • anomaly detection
  • statistical model
  • statistical models
  • computational models
  • computer vision
  • prior knowledge
  • detection method
  • automatic detection