The ensemble approach to forecasting: A review and synthesis
H Wu, D Levinson - Transportation Research Part C: Emerging …, 2021 - Elsevier
Ensemble forecasting is a modeling approach that combines data sources, models of
different types, with alternative assumptions, using distinct pattern recognition methods. The …
different types, with alternative assumptions, using distinct pattern recognition methods. The …
Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis
The present study reviews the publications that examine the application of machine learning
(ML) approaches in occupational accident analysis. The review process includes four …
(ML) approaches in occupational accident analysis. The review process includes four …
Injury severity prediction of traffic crashes with ensemble machine learning techniques: A comparative study
A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …
prediction and effective implementation of appropriate mitigation strategies. Traditional …
[HTML][HTML] Enhancing construction safety: Machine learning-based classification of injury types
The construction industry is a hazardous industry with significant injuries and fatalities. Few
studies have used data-driven analysis to investigate injuries due to construction accidents …
studies have used data-driven analysis to investigate injuries due to construction accidents …
Handling imbalanced data in road crash severity prediction by machine learning algorithms
N Fiorentini, M Losa - Infrastructures, 2020 - mdpi.com
Crash severity is undoubtedly a fundamental aspect of a crash event. Although machine
learning algorithms for predicting crash severity have recently gained interest by the …
learning algorithms for predicting crash severity have recently gained interest by the …
Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles
Abstract The era of Big Data has arrived. Recently, under the environment of intelligent
transportation systems (ITS) and connected/automated vehicles (CAV), Big Data has been …
transportation systems (ITS) and connected/automated vehicles (CAV), Big Data has been …
Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data
Although the utility of the machine learning (ML) techniques is established in occupational
accident domain using reactive data, its exploration in predicting injury severity using both …
accident domain using reactive data, its exploration in predicting injury severity using both …
Predicting and explaining corruption across countries: A machine learning approach
MSM Lima, D Delen - Government Information Quarterly, 2020 - Elsevier
In the era of Big Data, Analytics, and Data Science, corruption is still ubiquitous and is
perceived as one of the major challenges of modern societies. A large body of academic …
perceived as one of the major challenges of modern societies. A large body of academic …
Applications of machine learning methods in traffic crash severity modelling: current status and future directions
As a key area of traffic safety research, crash severity modelling has attracted tremendous
attention. Recently, there has been growing interest in applying machine learning (ML) …
attention. Recently, there has been growing interest in applying machine learning (ML) …
Predicting graft survival among kidney transplant recipients: A Bayesian decision support model
Predicting the graft survival for kidney transplantation is a high stakes undertaking
considering the shortage of available organs and the utilization of healthcare resources. The …
considering the shortage of available organs and the utilization of healthcare resources. The …