This study investigates the usefulness of machine learning methods for detecting and forecasting accounting fraud. First, we aim to "detect" accounting fraud and confirm an improvement in detection ...
Detecting and preventing accounting fraud is a concern for many policymakers around the world. This column presents a framework that incorporates machine learning techniques to detect and forecast ...
The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...
It may not sound like news to say that fraudsters are becoming more sophisticated, but as fraud attacks constantly evolve to evade detection (and to “cash in” on consumer-facing online services and ...