Aniruddha Adiga, Gursharn Kaur, Lijing Wang 0001, Benjamin Hurt, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe. Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts. In Brian Williams 0001, Yiling Chen 0001, Jennifer Neville, editors, Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023. pages 15647-15653, AAAI Press, 2023. [doi]
@inproceedings{AdigaK0HPVLM23,
title = {Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts},
author = {Aniruddha Adiga and Gursharn Kaur and Lijing Wang 0001 and Benjamin Hurt and Przemyslaw J. Porebski and Srinivasan Venkatramanan and Bryan L. Lewis and Madhav V. Marathe},
year = {2023},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/26855},
researchr = {https://researchr.org/publication/AdigaK0HPVLM23},
cites = {0},
citedby = {0},
pages = {15647-15653},
booktitle = {Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023},
editor = {Brian Williams 0001 and Yiling Chen 0001 and Jennifer Neville},
publisher = {AAAI Press},
isbn = {978-1-57735-880-0},
}