ICAD: A Self-Supervised Autoregressive Approach for Multi-Context Anomaly Detection in Human Mobility Data

Bita Azarijoo, Maria Despoina Siampou, John Krumm, Cyrus Shahabi. ICAD: A Self-Supervised Autoregressive Approach for Multi-Context Anomaly Detection in Human Mobility Data. In Mohamed F. Mokbel, Shashi Shekar, Andreas Züfle, Yao-Yi Chiang, Maria Luisa Damiani, Moustafa A. Youssef 0001, editors, Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2025, The Graduate Hotel Minneapolis, Minneapolis, MN, USA, November 3-6, 2025. pages 595-606, ACM, 2025. [doi]

@inproceedings{AzarijooSKS25,
  title = {ICAD: A Self-Supervised Autoregressive Approach for Multi-Context Anomaly Detection in Human Mobility Data},
  author = {Bita Azarijoo and Maria Despoina Siampou and John Krumm and Cyrus Shahabi},
  year = {2025},
  doi = {10.1145/3748636.3762774},
  url = {https://doi.org/10.1145/3748636.3762774},
  researchr = {https://researchr.org/publication/AzarijooSKS25},
  cites = {0},
  citedby = {0},
  pages = {595-606},
  booktitle = {Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2025, The Graduate Hotel Minneapolis, Minneapolis, MN, USA, November 3-6, 2025},
  editor = {Mohamed F. Mokbel and Shashi Shekar and Andreas Züfle and Yao-Yi Chiang and Maria Luisa Damiani and Moustafa A. Youssef 0001},
  publisher = {ACM},
  isbn = {979-8-4007-2086-4},
}