Learning to Predict Transitions within the Homelessness System from Network Trajectories-Reference-Cited by-同舟云学术

Learning to Predict Transitions within the Homelessness System from Network Trajectories

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
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Author:

Rahman Khandker Sadia¹,Chelmis Charalampos¹

Affiliation:

1. University at Albany,SUNY,Department of Computer Science,Albany,NY,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10068562/10068565/10068708.pdf?arnumber=10068708

Reference12 articles.

1. Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services

2. Applications of Machine Learning Methods to Predict Readmission and Length-of-Stay for Homeless Families: The Case of Win Shelters in New York City

3. An effectiveness study on trajectory similarity measures;wang;Proceedings of the Twenty-fourth Australasian Database Conference,2013

4. Predicting chronic homelessness: The importance of comparing algorithms using client histories;messier;Journal of Technology in Human Services,2021

5. Sequence analysis: Metric representations of categorical time series;elzinga;Sociological Methods and Research,2006

Cited by 2 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 Human-Centered Review of Algorithms in Homelessness Research;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. Modeling and predicting individual transitions within the homelessness system;Social Network Analysis and Mining;2023-04-25