Countless research works of deep neural networks (DNNs) in the task of credit card fraud
detection have focused on improving the accuracy of point predictions and mitigating …

Insurance is a data-rich sector, hosting large volumes of customer data that is analysed to
evaluate risk. Machine learning techniques are increasingly used in the effective …

The primary goal of an investment in a financial instrument is to generate a profit, but it's
crucial to understand that this investment involves many risks. Investors will therefore need a …

With the exponential rise in government and private health-supported schemes, the number
of fraudulent billing cases is also increasing. Detection of fraudulent transactions in …

Fighting fraudulent insurance claims is a vital task for insurance companies as it costs them
billions of dollars each year. Fraudulent insurance claims happen in all areas of insurance …

One of the most common types of fraudulent is insurance fraud. And in particular fraud in
automobile insurance, the cost of automobile insurance fraud is substantial for property …

Automobile insurance fraud has become a critical concern for the insurance industry, posing
significant threats to socio-economic stability and commercial interests. To tackle these …

Insurance fraud is a prevalent issue that insurance companies must face, particularly in the
realm of automobile insurance. This type of fraud has significant cost implications for …

We wrote this book to help financial experts and investors to understand the state of the art
of artificial intelligence and machine learning in finance. But first, what is artificial …

Default in premium payments impacts significantly on the profitability of the insurance
company. Therefore, predicting defaults in advance is very important for insurance …