Case Study: A Semi-Supervised Methodology for Anomaly Detection and Diagnosis

A. Morales-Forero, Samuel Bassetto. Case Study: A Semi-Supervised Methodology for Anomaly Detection and Diagnosis. In 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019, Macao, Macao, December 15-18, 2019. pages 1031-1037, IEEE, 2019. [doi]

@inproceedings{Morales-ForeroB19,
  title = {Case Study: A Semi-Supervised Methodology for Anomaly Detection and Diagnosis},
  author = {A. Morales-Forero and Samuel Bassetto},
  year = {2019},
  doi = {10.1109/IEEM44572.2019.8978509},
  url = {https://doi.org/10.1109/IEEM44572.2019.8978509},
  researchr = {https://researchr.org/publication/Morales-ForeroB19},
  cites = {0},
  citedby = {0},
  pages = {1031-1037},
  booktitle = {2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019, Macao, Macao, December 15-18, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-3804-6},
}