Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data

Takaya Ueda, Yukako Tohsato, Ikuko Nishikawa. Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data. In Igor Farkas, Paolo Masulli, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I. Volume 12396 of Lecture Notes in Computer Science, pages 553-565, Springer, 2020. [doi]

@inproceedings{UedaTN20,
  title = {Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data},
  author = {Takaya Ueda and Yukako Tohsato and Ikuko Nishikawa},
  year = {2020},
  doi = {10.1007/978-3-030-61609-0_44},
  url = {https://doi.org/10.1007/978-3-030-61609-0_44},
  researchr = {https://researchr.org/publication/UedaTN20},
  cites = {0},
  citedby = {0},
  pages = {553-565},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I},
  editor = {Igor Farkas and Paolo Masulli and Stefan Wermter},
  volume = {12396},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-61609-0},
}