While anomaly detection is relatively well-studied, it remains a topic of ongoing interest and
challenge, as our society becomes increasingly interconnected and digitalized. In this paper …

Improving health and lives of people is undoubtedly one of the prime goals of healthcare
organizations, policy-makers, and leaders around the world. The need of ageing, disability …

The pervasiveness of mobile devices not only facilitates people's daily life with a wide
variety of services, but also brings users risks of private information leakage (eg, photos …

In this paper, we propose a binary classifier ensemble-based one-class classifier (BCE-OC)
for one-class classification. Given a training set comprising of only target class instances, it is …

This paper presents anomaly detection in activities of daily living based on entropy
measures. It is shown that the proposed approach will identify anomalies when there are …

Deterioration is the significant degradation of the physical state prior to death. Detecting the
deterioration of patients could provide an early warning to their families in instances of …

There is a growing interest in the development of classifiers based on contrast patterns
(CPs); partly due to the advantage of them being able to explain classification results in a …

People often face risk-prone situations, that range from a mild event to a severe, life-
threatening scenario. Risk situations stem from a number of different scenarios: a health …

In addition to accuracy, another key desirable characteristic of a classifier is interpretability.
While there have been attempts to design contrast pattern-based models that support …

This study introduces the One-Class K-means with Randomly-projected features Algorithm
(OCKRA). OCKRA is an ensemble of one-class classifiers built over multiple projections of a …