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Addressing Data Imbalance in Crash Data: Evaluating Generative Adversarial Network’s Efficacy Against Conventional Methods

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Addressing Data Imbalance in Crash Data: Evaluating Generative Adversarial Network’s Efficacy Against Conventional Methods

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Additional information

Journal

IEEE Access

Authors

BEI ZHOU
QIANXI ZHOU
ZONGZHI LI

Keywords

Crash injury severity, cost-sensitive learning, data imbalance, generative adversarial
network

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