@INPROCEEDINGS{Lin2018-xw,
  title     = "{Exploiting spatiotemporal patterns for accurate air quality
               forecasting using deep learning}",
  booktitle = "{Proceedings of the 26th ACM SIGSPATIAL International Conference
               on Advances in Geographic Information Systems}",
  author    = "Lin, Yijun and Mago, Nikhit and Gao, Yu and Li, Yaguang and
               Chiang, Yao-Yi and Shahabi, Cyrus and Ambite, Jos{\'e} Luis",
  publisher = "Association for Computing Machinery",
  pages     = "359--368",
  series    = "SIGSPATIAL '18",
  month     =  nov,
  year      =  2018,
  url       = "https://doi.org/10.1145/3274895.3274907",
  url-file      = "papers/Lin-et-al.-2018-Exploiting-spatiotemporal-patterns-for-accurate-air-quality-forecasting-using-deep-learning.pdf",
  address   = "New York, NY, USA",
  location  = "Seattle, Washington",
  isbn      = "9781450358897",
  doi       = "10.1145/3274895.3274907"
}

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