Unsupervised LSTMs-based Learning for Anomaly Detection in Highway Traffic Data

Nicola Di Mauro, Stefano Ferilli. Unsupervised LSTMs-based Learning for Anomaly Detection in Highway Traffic Data. In Michelangelo Ceci, Nathalie Japkowicz, Jiming Liu 0001, George A. Papadopoulos, Zbigniew W. Ras, editors, Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings. Volume 11177 of Lecture Notes in Computer Science, pages 281-290, Springer, 2018. [doi]

@inproceedings{MauroF18,
  title = {Unsupervised LSTMs-based Learning for Anomaly Detection in Highway Traffic Data},
  author = {Nicola Di Mauro and Stefano Ferilli},
  year = {2018},
  doi = {10.1007/978-3-030-01851-1_27},
  url = {https://doi.org/10.1007/978-3-030-01851-1_27},
  researchr = {https://researchr.org/publication/MauroF18},
  cites = {0},
  citedby = {0},
  pages = {281-290},
  booktitle = {Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings},
  editor = {Michelangelo Ceci and Nathalie Japkowicz and Jiming Liu 0001 and George A. Papadopoulos and Zbigniew W. Ras},
  volume = {11177},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-01851-1},
}