Enhancing the Performance of a Model to Predict Driving Distraction with the Random Forest Classifier

A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm

(2020) Deliang Sun et al.   GEOMORPHOLOGY

Accident Prediction Accuracy Assessment for Highway-Rail Grade Crossings Using Random Forest Algorithm Compared with Decision Tree

(2020) Xiaoyi Zhou et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques

(2020) Mahdi Aghaabbasi et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Quantifying the Effect of On-Street Parking Information on Congestion Mitigation using a Driving Simulator

(2018) Samira Ahangari et al.   TRANSPORTATION RESEARCH RECORD

Non-stationary concept of accident prediction

(2017) Ali Mansourkhaki et al.   PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT

pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach

(2016) Jianhua Jia et al.   JOURNAL OF THEORETICAL BIOLOGY

Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features

(2015) Abdollah Dehzangi et al.   BMC BIOINFORMATICS

The Risk of a Safety-Critical Event Associated With Mobile Device Use in Specific Driving Contexts

(2014) Gregory M. Fitch et al.   Traffic Injury Prevention

Impact of Distraction on the Driving Performance of Adolescents With and Without Attention-Deficit/Hyperactivity Disorder

(2013) Megan Narad et al.   JAMA Pediatrics

Detection of Road Hazards by Novice Teen and Experienced Adult Drivers

(2009) Suzanne E. Lee et al.   TRANSPORTATION RESEARCH RECORD