Using Balanced Random Forests on Load Spectrum Data for Classifying Component Failures of a Hybrid Electric Vehicle Fleet

Philipp Bergmeir, Christof Nitsche, Jurgen Nonnast, Michael Bargende, Peter Antony, Uwe Keller. Using Balanced Random Forests on Load Spectrum Data for Classifying Component Failures of a Hybrid Electric Vehicle Fleet. In 13th International Conference on Machine Learning and Applications, ICMLA 2014, Detroit, MI, USA, December 3-6, 2014. pages 397-404, IEEE, 2014. [doi]

@inproceedings{BergmeirNNBAK14,
  title = {Using Balanced Random Forests on Load Spectrum Data for Classifying Component Failures of a Hybrid Electric Vehicle Fleet},
  author = {Philipp Bergmeir and Christof Nitsche and Jurgen Nonnast and Michael Bargende and Peter Antony and Uwe Keller},
  year = {2014},
  doi = {10.1109/ICMLA.2014.71},
  url = {http://dx.doi.org/10.1109/ICMLA.2014.71},
  researchr = {https://researchr.org/publication/BergmeirNNBAK14},
  cites = {0},
  citedby = {0},
  pages = {397-404},
  booktitle = {13th International Conference on Machine Learning and Applications, ICMLA 2014, Detroit, MI, USA, December 3-6, 2014},
  publisher = {IEEE},
}