Real-time driving risk assessment using deep learning with XGBoost

This publication has 20 references indexed in Scilit:

• Real-Time Crash Risk Prediction using Long Short-Term Memory Recurrent Neural Network
  Transportation Research Record: Journal of the Transportation Research Board, 2019
• Association Between Emergency Medical Service Response Time and Motor Vehicle Crash Mortality in the United States
  JAMA Surgery, 2019
• Statistical Methods for Naturalistic Driving Studies
  Annual Review of Statistics and Its Application, 2019
• Enhanced CNN for image denoising
  CAAI Transactions on Intelligence Technology, 2019
• A comprehensive overview of feature representation for biometric recognition
  Multimedia Tools and Applications, 2018
• Investigating the Impact of Fog on Freeway Speed Selection using the SHRP2 Naturalistic Driving Study Data
  Transportation Research Record: Journal of the Transportation Research Board, 2018
• Receiver operating characteristic (ROC) curves: review of methods with applications in diagnostic medicine
  Physics in Medicine & Biology, 2018
• Real-time prediction and avoidance of secondary crashes under unexpected traffic congestion
  Accident Analysis & Prevention, 2018
• Performance of basic kinematic thresholds in the identification of crash and near-crash events within naturalistic driving data
  Accident Analysis & Prevention, 2017
• Representation Learning: A Review and New Perspectives
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013