Anomaly Detection for Population Dynamics using Autoencoder Leveraging Periodic Residual Component in Disaster Situations

Keiichi Ochiai, Masayuki Terada, Hiroaki Sano, Makoto Hanashima, Yuichiro Usuda. Anomaly Detection for Population Dynamics using Autoencoder Leveraging Periodic Residual Component in Disaster Situations. In Shawn D. Newsam, Lexie Yang, Gengchen Mai, Bruno Martins 0001, Dalton D. Lunga, Song Gao 0001, editors, Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023, Hamburg, Germany, 13 November 2023. pages 34-42, ACM, 2023. [doi]

@inproceedings{OchiaiTSHU23,
  title = {Anomaly Detection for Population Dynamics using Autoencoder Leveraging Periodic Residual Component in Disaster Situations},
  author = {Keiichi Ochiai and Masayuki Terada and Hiroaki Sano and Makoto Hanashima and Yuichiro Usuda},
  year = {2023},
  doi = {10.1145/3615886.3627739},
  url = {https://doi.org/10.1145/3615886.3627739},
  researchr = {https://researchr.org/publication/OchiaiTSHU23},
  cites = {0},
  citedby = {0},
  pages = {34-42},
  booktitle = {Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023, Hamburg, Germany, 13 November 2023},
  editor = {Shawn D. Newsam and Lexie Yang and Gengchen Mai and Bruno Martins 0001 and Dalton D. Lunga and Song Gao 0001},
  publisher = {ACM},
}