The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …

Road traffic injuries and fatalities have nowadays been recognized as one of the most
important public health issues that requires concerted efforts for effective and sustainable …

With the ever increasing public awareness of complicated road safety phenomenon, much
more detailed aspects of crash and injury causation rather than only crash data are …

The development of a composite indicator (CI) over a set of individual indicators is
worthwhile in case the methodological aggregation process is sound and the results are …

Rough set theory has been proven to be an effective tool to feature subset selection. Current
research usually employ hill-climbing as search strategy to select feature subset. However …

During the last decade, the concept of composite performance index, brought from economic
and business statistics, has become a popular practice in the field of road safety, namely for …

The objective of this research was to develop a decision-support system to help road safety
policy makers make the right choices in road safety planning based on the efficiency of …

This article presents an alternative approach useful for medical practitioners who wish to
detect malaria and accurately identify the level of severity. Malaria classifiers are usually …

With the increasing public awareness of the complexity of road safety phenomenon, much
more detailed aspects of crash and injury causation rather than only crash data (eg, the …

Evaluating and comparing the safety performance of a group of spatial regions (ie, countries,
states, provinces, etc.) is an interesting topic among researchers and decision makers. This …