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) …

Over the years, the study on logic mining approach has increased exponentially. However,
most logic mining models disregarded any efforts in expanding the search space which led …

Ordinal classification of imbalanced data is a challenging problem that appears in many real
world applications. The challenge is to simultaneously consider the order of the classes and …

Artificial intelligence has revolutionized many sectors with unparalleled predictive
capabilities supported by machine learning (ML). So far, this tool has not been able to …

Background Adverse birth outcomes, including preterm birth, low birth weight, and stillbirth,
remain a major global health challenge, particularly in developing regions. Understanding …

The abundant availability of data in Big Data era has helped achieving significant advances
in the machine learning field. However, many datasets appear with incompleteness from …

Background Automated coaches (eCoach) can help people lead a healthy lifestyle (eg,
reduction of sedentary bouts) with continuous health status monitoring and personalized …

Background Sub-Saharan Africa faces high neonatal and maternal mortality rates due to
limited access to skilled healthcare during delivery. This study aims to improve the …

Background: Antibiotics can play a pivotal role in the treatment of colorectal cancer (CRC) at
various stages of the disease, both directly and indirectly. Identifying novel patterns of …

Non-technical losses (NTL) have been a growing problem over the years, causing
significant financial losses for electric utilities. Among the methods for detecting this type of …