CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-Level Parameter Generation-Reference-Cited by-同舟云学术

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CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-Level Parameter Generation

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Yang Guang¹^ORCID,Zhang Yuequn¹^ORCID,Hang Jinquan¹^ORCID,Feng Xinyue¹^ORCID,Xie Zejun¹^ORCID,Zhang Desheng¹^ORCID,Yang Yu²^ORCID

Affiliation:

1. Rutgers University, Piscataway, NJ, USA

2. Lehigh University, Bethlehem, PA, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614802

Reference36 articles.

1. HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data

2. Data mining of tree-based models to analyze freeway accident frequency

3. SDCAE: Stack Denoising Convolutional Autoencoder Model for Accident Risk Prediction Via Traffic Big Data

4. Hal Daumé III. 2009. Frustratingly easy domain adaptation. arXiv preprint arXiv:0907.1815 ( 2009 ). Hal Daumé III. 2009. Frustratingly easy domain adaptation. arXiv preprint arXiv:0907.1815 (2009).

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