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

{"_id":"XhPvqJTPT554ucxxg","bibbaseid":"lin-mago-gao-li-chiang-shahabi-ambite-exploitingspatiotemporalpatternsforaccurateairqualityforecastingusingdeeplearning-2018","author_short":["Lin, Y.","Mago, N.","Gao, Y.","Li, Y.","Chiang, Y.","Shahabi, C.","Ambite, J. L."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","address":"New York, NY, USA","author":[{"propositions":[],"lastnames":["Lin"],"firstnames":["Yijun"],"suffixes":[]},{"propositions":[],"lastnames":["Mago"],"firstnames":["Nikhit"],"suffixes":[]},{"propositions":[],"lastnames":["Gao"],"firstnames":["Yu"],"suffixes":[]},{"propositions":[],"lastnames":["Li"],"firstnames":["Yaguang"],"suffixes":[]},{"propositions":[],"lastnames":["Chiang"],"firstnames":["Yao-Yi"],"suffixes":[]},{"propositions":[],"lastnames":["Shahabi"],"firstnames":["Cyrus"],"suffixes":[]},{"propositions":[],"lastnames":["Ambite"],"firstnames":["José","Luis"],"suffixes":[]}],"booktitle":"Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","doi":"10.1145/3274895.3274907","isbn":"9781450358897","location":"Seattle, Washington","month":"November","pages":"359–368","publisher":"Association for Computing Machinery","series":"SIGSPATIAL '18","title":"Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning","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","year":"2018","bibtex":"@inproceedings{Lin2018-xw,\n address = {New York, NY, USA},\n author = {Lin, Yijun and Mago, Nikhit and Gao, Yu and Li, Yaguang and\nChiang, Yao-Yi and Shahabi, Cyrus and Ambite, Jos{\\'e} Luis},\n booktitle = {{Proceedings of the 26th ACM SIGSPATIAL International Conference\non Advances in Geographic Information Systems}},\n doi = {10.1145/3274895.3274907},\n isbn = {9781450358897},\n location = {Seattle, Washington},\n month = {November},\n pages = {359--368},\n publisher = {Association for Computing Machinery},\n series = {SIGSPATIAL '18},\n title = {{Exploiting spatiotemporal patterns for accurate air quality\nforecasting using deep learning}},\n url = {https://doi.org/10.1145/3274895.3274907},\n url-file = {papers/Lin-et-al.-2018-Exploiting-spatiotemporal-patterns-for-accurate-air-quality-forecasting-using-deep-learning.pdf},\n year = {2018}\n}\n\n","author_short":["Lin, Y.","Mago, N.","Gao, Y.","Li, Y.","Chiang, Y.","Shahabi, C.","Ambite, J. L."],"key":"Lin2018-xw","id":"Lin2018-xw","bibbaseid":"lin-mago-gao-li-chiang-shahabi-ambite-exploitingspatiotemporalpatternsforaccurateairqualityforecastingusingdeeplearning-2018","role":"author","urls":{"Paper":"https://doi.org/10.1145/3274895.3274907","-file":"http://knowledge-computing.github.io/papers/Lin-et-al.-2018-Exploiting-spatiotemporal-patterns-for-accurate-air-quality-forecasting-using-deep-learning.pdf"},"metadata":{"authorlinks":{}},"downloads":2},"bibtype":"inproceedings","biburl":"http://knowledge-computing.github.io/publications.bib","dataSources":["HAFwXuLZf7sqJvp2S","u2FapfsC5Fb8utfsp","3sPtWLmmdPRfH69LS","8u7qceCaxL8Gt5PoF","Lsm8pmGSv2KvYKbGa","qkN2F4hKQojRGQeTy","cR2bQCnuvgoCQwTEh","Zv8utRXNjhXZcJdZX","zguJ5LkMpKLhRDgWX","M3cm7WzF5gdELQkoy","x94sDkjv6sHRisXm3","Xngq2WDk97aWqouA5","SbR97nY87cwp9QrPt"],"keywords":[],"search_terms":["exploiting","spatiotemporal","patterns","accurate","air","quality","forecasting","using","deep","learning","lin","mago","gao","li","chiang","shahabi","ambite"],"title":"Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning","year":2018,"downloads":2}