Semi-Supervised Machine Learning Framework for Fusing Georeferenced Data from Social Media and Community-Driven Applications-Reference-Cited by-同舟云学术

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Semi-Supervised Machine Learning Framework for Fusing Georeferenced Data from Social Media and Community-Driven Applications

Published:2022-05-24 Issue: Volume: Page:
ISSN:
Container-title:Computing in Civil Engineering 2021
language:
Short-container-title:

Author:

Salley Christin¹²³,Mohammadi Neda¹²³,Taylor John E.¹²³

Affiliation:

1. Ph.D. Student, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA.

2. City Infrastructure Analytics Director, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA.

3. Frederick Law Olmsted Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784483893.015

Reference21 articles.

1. Evaluating the Reliability, Coverage, and Added Value of Crowdsourced Traffic Incident Reports from Waze.;Amin-Naseri M.;Transportation Research Record,2018

2. Towards A Social Media-Based Framework for Disaster Communication.;Chair S.;Procedia Computer Science,2019

3. FastText. (2020). “Fasttext.” PyPI. Accessed April 12 2021.https://pypi.org/project/fasttext/.

4. Real-time tracking and mining of users’ actions over social media.;Kajan E.;Computer Science and Information Systems,2020

5. Enhancing demographic coverage of hurricane evacuation behavior modeling using social media.;Kumar D.;J. Comput. Sci,2020

Cited by 3 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. Assessing Community Needs in Disasters: Transfer Learning for Fusing Limited Georeferenced Data from Crowdsourced Applications on the Community Level;Journal of Management in Engineering;2024-11

2. Protecting Critical Infrastructure for Disasters: NLP-Based Automated Information Retrieval to Generate Hypothetical Cyberattack Scenarios;Journal of Infrastructure Systems;2024-09

3. Safeguarding Infrastructure from Cyber Threats with NLP-Based Information Retrieval;2023 Winter Simulation Conference (WSC);2023-12-10

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