Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, Lester Mackey. Improving Subseasonal Forecasting in the Western U.S. with Machine Learning. 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 2325-2335, ACM, 2019. [doi]
@inproceedings{HwangOCPM19,
title = {Improving Subseasonal Forecasting in the Western U.S. with Machine Learning},
author = {Jessica Hwang and Paulo Orenstein and Judah Cohen and Karl Pfeiffer and Lester Mackey},
year = {2019},
doi = {10.1145/3292500.3330674},
url = {https://doi.org/10.1145/3292500.3330674},
researchr = {https://researchr.org/publication/HwangOCPM19},
cites = {0},
citedby = {0},
pages = {2325-2335},
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},
}