An interpretable two-stage prediction framework for fatal crashes: mitigating extreme data imbalance problem

@article{jingyang2026,
  title        = {{An interpretable two-stage prediction framework for fatal crashes: mitigating extreme data imbalance problem}},
  author       = {Jingyang Li et al.},
  journal      = {Transportation Letters},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/19427867.2026.2613231},
}

TY  - JOUR
TI  - An interpretable two-stage prediction framework for fatal crashes: mitigating extreme data imbalance problem
AU  - al., Jingyang Li et
JO  - Transportation Letters
PY  - 2026
ER  -

Jingyang Li et al. (2026). An interpretable two-stage prediction framework for fatal crashes: mitigating extreme data imbalance problem. *Transportation Letters*. https://doi.org/https://doi.org/10.1080/19427867.2026.2613231

Jingyang Li et al.. "An interpretable two-stage prediction framework for fatal crashes: mitigating extreme data imbalance problem." *Transportation Letters* (2026). https://doi.org/https://doi.org/10.1080/19427867.2026.2613231.

An interpretable two-stage prediction framework for fatal crashes: mitigating extreme data imbalance problem
Jingyang Li et al. · Transportation Letters · 2026
https://doi.org/https://doi.org/10.1080/19427867.2026.2613231