Computing Anomaly Score Threshold with Autoencoders Pipeline

Igr Alexánder Fernández-Saúco, Niusvel Acosta-Mendoza, Andrés Gago Alonso, Edel Bartolo García Reyes. Computing Anomaly Score Threshold with Autoencoders Pipeline. In Rubén Vera-Rodríguez, Julian Fiérrez, Aythami Morales, editors, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain, November 19-22, 2018, Proceedings. Volume 11401 of Lecture Notes in Computer Science, pages 237-244, Springer, 2018. [doi]

@inproceedings{Fernandez-Sauco18,
  title = {Computing Anomaly Score Threshold with Autoencoders Pipeline},
  author = {Igr Alexánder Fernández-Saúco and Niusvel Acosta-Mendoza and Andrés Gago Alonso and Edel Bartolo García Reyes},
  year = {2018},
  doi = {10.1007/978-3-030-13469-3_28},
  url = {https://doi.org/10.1007/978-3-030-13469-3_28},
  researchr = {https://researchr.org/publication/Fernandez-Sauco18},
  cites = {0},
  citedby = {0},
  pages = {237-244},
  booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain, November 19-22, 2018, Proceedings},
  editor = {Rubén Vera-Rodríguez and Julian Fiérrez and Aythami Morales},
  volume = {11401},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-13469-3},
}