Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning

Yijun Lin, Nikhit Mago, Yu Gao, Yaguang Li, Yao-Yi Chiang, Cyrus Shahabi, José Luis Ambite. Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning. In Farnoush Banaei Kashani, Erik G. Hoel, Ralf Hartmut Güting, Roberto Tamassia, Li Xiong 0001, editors, Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2018, Seattle, WA, USA, November 06-09, 2018. pages 359-368, ACM, 2018. [doi]

Abstract

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