Unsupervised Domain Adaptation for Crime Risk Prediction Across Cities-Reference-Cited by-同舟云学术

Unsupervised Domain Adaptation for Crime Risk Prediction Across Cities

Author:

Zhou Binbin¹^ORCID,Chen Longbiao²^ORCID,Zhao Sha³^ORCID,Li Shijian³,Zheng Zengwei¹^ORCID,Pan Gang³^ORCID

Affiliation:

1. Department of Computer Science and Computing, Zhejiang University City College, Hangzhou, China

2. Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China

3. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

Cited by 6 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

2. Crime Prediction Using Machine Learning and Deep Learning;International Journal of Scientific Research in Science, Engineering and Technology;2024-05-04

3. Forecasting of Crime Hotspots and Analysis using Machine Learning;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18