Yutaro Mishima, Guillaume Habault, Shinya Wada. Is Adding More Modalities Better in a Multimodal Spatio-temporal Prediction Scenario? A Case Study on Japan Air Quality. In Takahiro Hara, Hirozumi Yamaguchi, editors, Mobile and Ubiquitous Systems: Computing, Networking and Services - 18th EAI International Conference, MobiQuitous 2021, Virtual Event, November 8-11, 2021, Proceedings. Volume 419 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 406-421, Springer, 2021. [doi]
@inproceedings{MishimaHW21,
title = {Is Adding More Modalities Better in a Multimodal Spatio-temporal Prediction Scenario? A Case Study on Japan Air Quality},
author = {Yutaro Mishima and Guillaume Habault and Shinya Wada},
year = {2021},
doi = {10.1007/978-3-030-94822-1_22},
url = {https://doi.org/10.1007/978-3-030-94822-1_22},
researchr = {https://researchr.org/publication/MishimaHW21},
cites = {0},
citedby = {0},
pages = {406-421},
booktitle = {Mobile and Ubiquitous Systems: Computing, Networking and Services - 18th EAI International Conference, MobiQuitous 2021, Virtual Event, November 8-11, 2021, Proceedings},
editor = {Takahiro Hara and Hirozumi Yamaguchi},
volume = {419},
series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
publisher = {Springer},
isbn = {978-3-030-94822-1},
}