Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning

Yildiz Karadayi. Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning. In Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Alexis Bondu, Thomas Guyet, Romain Tavenard, editors, Advanced Analytics and Learning on Temporal Data - 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers. Volume 11986 of Lecture Notes in Computer Science, pages 167-182, Springer, 2019. [doi]

@inproceedings{Karadayi19,
  title = {Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning},
  author = {Yildiz Karadayi},
  year = {2019},
  doi = {10.1007/978-3-030-39098-3_13},
  url = {https://doi.org/10.1007/978-3-030-39098-3_13},
  researchr = {https://researchr.org/publication/Karadayi19},
  cites = {0},
  citedby = {0},
  pages = {167-182},
  booktitle = {Advanced Analytics and Learning on Temporal Data - 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers},
  editor = {Vincent Lemaire and Simon Malinowski and Anthony J. Bagnall and Alexis Bondu and Thomas Guyet and Romain Tavenard},
  volume = {11986},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-39098-3},
}