Few-shot cross-city traffic injury severity prediction: a context-aware domain generalization meta-learning approach
- DOI
- 10.1016/j.aap.2026.108692
- Published
- 2026-10
- Container
- Accident Analysis & Prevention
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aap.2026.108692,
title = {Few-shot cross-city traffic injury severity prediction: a context-aware domain generalization meta-learning approach},
author = {Bei Zhou and Hongshuai Zhu and Zhuanglin Ma and Zongzhi Li and Duo Li},
year = {2026},
journal = {Accident Analysis \& Prevention},
doi = {10.1016/j.aap.2026.108692},
url = {https://doi.org/10.1016/j.aap.2026.108692}
}RIS
TY - JOUR TI - Few-shot cross-city traffic injury severity prediction: a context-aware domain generalization meta-learning approach AU - Bei Zhou AU - Hongshuai Zhu AU - Zhuanglin Ma AU - Zongzhi Li AU - Duo Li PY - 2026 JO - Accident Analysis & Prevention DO - 10.1016/j.aap.2026.108692 UR - https://doi.org/10.1016/j.aap.2026.108692 ER -
APA
Zhou, B., Zhu, H., Ma, Z., Li, Z., & Li, D. (2026). Few-shot cross-city traffic injury severity prediction: a context-aware domain generalization meta-learning approach. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2026.108692
Source records
- crossref · retrieved 2026-09-25T07:51:28.862Z