The increment of computer technology use and the continued growth of companies have
enabled most financial transactions to be performed through the electronic commerce …

The core goal of this paper is to identify guidance on how the research community can better
transition their research into payment card fraud detection towards a transformation away …

Online shopping, already on a steady rise, was propelled even further with the advent of the
COVID-19 pandemic. Of course, credit cards are a dominant way of doing business online …

An effective machine learning implementation means that artificial intelligence has
tremendous potential to help and automate financial threat assessment for commercial firms …

Sažetak Credit card fraud is a serious and ever-growing problem with billions of dollars lost
every year due to fraudulent transactions. Fraud has always been present and will always …

Background A new algorithm has been developed to enable the interpretation of black box
models. The developed algorithm is agnostic to learning algorithm and open to all structural …

In the field of economics, strategic management, and environmental management, the
concepts of business continuity (BC) and disaster recovery (DR) are pervasive and widely …

There has been a massive increase in the use of the internet for shopping and payment. The
ease and availability of the internet has accelerated the growth of online applications. E …

Abstract Structure Activity Relationship (SAR) modelling capitalises on techniques
developed within the computer science community, particularly in the fields of machine …

We recently explored the benefits of a reinforcement learning agent which is supplemented
by a symbolic learning level. This second level is represented in the symbolic form of …