Data-Driven In-Crisis Community Identification for Disaster Response and Management-Reference-Cited by-同舟云学术

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Data-Driven In-Crisis Community Identification for Disaster Response and Management

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 7th International Conference on Collaboration and Internet Computing (CIC)
language:
Short-container-title:

Author:

Tao Yudong¹,Jiang Renhe²,Coltey Erik³,Yang Chuang²,Song Xuan²,Shibasaki Ryosuke²,Shyu Mei-Ling¹,Chen Shu-Ching³

Affiliation:

1. University of Miami,Department of Electrical and Computer Engineering,Coral Gables,FL,USA

2. The University of Tokyo,Center for Spatial Information Science,Tokyo,Japan

3. Florida International University,Knight Foundation School of Computing and Information Sciences,Miami,FL,USA

Funder

National Science Foundation (NSF)

JST SICORP

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9706610/9706611/09707171.pdf?arnumber=9707171

Reference65 articles.

1. Qanet: Combining local convolution with global self-attention for reading comprehension;yu;International Conference on Learning Representations,2018

2. Bidirectional attention flow for machine comprehension;seo;5th International Conference on Learning Representations ICLR 2017,2017

3. Robust partitional clustering by outlier and density insensitive seeding

4. Social media as crisis platform

5. Social Media and Postelection Crisis in Kenya

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey on Data-driven COVID-19 and Future Pandemic Management;ACM Computing Surveys;2022-12-15

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