Dario Aragona, Luca Podo, Bardh Prenkaj, Paola Velardi. a: a deep sequential framework to predict epidemic spread. In Chih-Cheng Hung, Jiman Hong, Alessio Bechini, Eunjee Song, editors, SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021. pages 10-17, ACM, 2021. [doi]
@inproceedings{AragonaPPV21,
title = {a: a deep sequential framework to predict epidemic spread},
author = {Dario Aragona and Luca Podo and Bardh Prenkaj and Paola Velardi},
year = {2021},
doi = {10.1145/3412841.3441883},
url = {https://doi.org/10.1145/3412841.3441883},
researchr = {https://researchr.org/publication/AragonaPPV21},
cites = {0},
citedby = {0},
pages = {10-17},
booktitle = {SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021},
editor = {Chih-Cheng Hung and Jiman Hong and Alessio Bechini and Eunjee Song},
publisher = {ACM},
isbn = {978-1-4503-8104-8},
}