MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation

Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang 0001, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song 0001, Ryosuke Shibasaki. MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. In Ingo Frommholz, Frank Hopfgartner, Mark Lee 0001, Michael Oakes 0001, Mounia Lalmas, Min Zhang 0006, Rodrygo L. T. Santos, editors, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023. pages 193-202, ACM, 2023. [doi]

@inproceedings{CaiJY0GK0S23,
  title = {MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation},
  author = {Zekun Cai and Renhe Jiang and Xinyu Yang and Zhaonan Wang 0001 and Diansheng Guo and Hill Hiroki Kobayashi and Xuan Song 0001 and Ryosuke Shibasaki},
  year = {2023},
  doi = {10.1145/3583780.3614962},
  url = {https://doi.org/10.1145/3583780.3614962},
  researchr = {https://researchr.org/publication/CaiJY0GK0S23},
  cites = {0},
  citedby = {0},
  pages = {193-202},
  booktitle = {Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023},
  editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee 0001 and Michael Oakes 0001 and Mounia Lalmas and Min Zhang 0006 and Rodrygo L. T. Santos},
  publisher = {ACM},
}