Bin Wang, Jie Lu, Zheng Yan 0001, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang 0001. Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting. In Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis, editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. pages 2087-2095, ACM, 2019. [doi]
@inproceedings{WangLYLLZ019,
title = {Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting},
author = {Bin Wang and Jie Lu and Zheng Yan 0001 and Huaishao Luo and Tianrui Li and Yu Zheng and Guangquan Zhang 0001},
year = {2019},
doi = {10.1145/3292500.3330704},
url = {https://doi.org/10.1145/3292500.3330704},
researchr = {https://researchr.org/publication/WangLYLLZ019},
cites = {0},
citedby = {0},
pages = {2087-2095},
booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019},
editor = {Ankur Teredesai and Vipin Kumar and Ying Li and Rómer Rosales and Evimaria Terzi and George Karypis},
publisher = {ACM},
isbn = {978-1-4503-6201-6},
}