Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka 0002, Hiroyuki Toda, Naonori Ueda. Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. 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 373-383, ACM, 2019. [doi]
@inproceedings{OkawaIK0TU19,
title = {Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information},
author = {Maya Okawa and Tomoharu Iwata and Takeshi Kurashima and Yusuke Tanaka 0002 and Hiroyuki Toda and Naonori Ueda},
year = {2019},
doi = {10.1145/3292500.3330937},
url = {https://doi.org/10.1145/3292500.3330937},
researchr = {https://researchr.org/publication/OkawaIK0TU19},
cites = {0},
citedby = {0},
pages = {373-383},
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},
}