Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning. Lin, Y., Mago, N., Gao, Y., Li, Y., Chiang, Y., Shahabi, C., & Ambite, J. In Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Seattle, WA, 2018. bibtex 2 downloads @inproceedings{lin_exploiting_2018,
address = {Seattle, WA},
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, Jose-Luis},
year = {2018},
}
Downloads: 2
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