In the modern digital era, fraud in programmatic advertising has become a multi-billion-dollar challenge, threatening the ...

The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection ...

In the U.S., credit card fraud costs $5 billion annually, identity theft adds $16.4 billion, and Medicare fraud drains $60 billion each year. A new machine learning breakthrough generates accurate ...

Additionally, and unlike traditional methods, this approach evaluated the newly generated fraud and non-fraud labels directly without the need of relying on a supervised classifier. "The use of ...

As the executive director of a payment service provider, I've seen payment processing come a long way—but significant pain ...

The obtained results show, first, that the capacity to detect accounting fraud increases substantially by using the machine learning-based model. Second, a similar improvement in predictive power is ...

Fault Detection Model Development using ... Machine learning tasks are mainly classified into two categories, depending on the nature of the availability of input (predictors) and output (response) ...