Risky driver recognition with class imbalance data and automated machine learning framework - Wang K, Xue Q, Lu JJ.

Identifying high-risk drivers before an accident happens is necessary for traffic accident control and prevention. Due to the class-imbalance nature of driving data, high-risk samples as the minority class are usually ill-treated by standard classification...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Jurisprudence, Laws, Legislation, Policies, Rules Source Type: news