Instagram, one of the most popular social media platforms among youth, has recently come
under scrutiny for potentially being harmful to the safety and well-being of our younger …

Detecting fraud in the healthcare insurance dataset is challenging due to severe class
imbalance, where fraud cases are rare compared to non-fraud cases. Various techniques …

Fraud can take on various forms, including financial fraud, identity theft, and insurance fraud,
among others. With the growing use of technology, fraudulent activities have become more …

The accuracy and fairness of perception systems in autonomous driving are crucial,
particularly for vulnerable road users. Mainstream research has looked into improving the …

Nowadays, the appearance of common symptoms, such as cough, fever, and loss of smell
and taste, is the starting point of a battle against the coronavirus. The first standard method …

Financial businesses have a significant challenge with credit card fraud. Approximately
more than one million individuals from different countries are losing money yearly due to …

Class imbalance is a common problem with datasets relating to various areas of life. It
causes many traditional machine learning algorithms to tend to misclassify minority samples …

As the world population grows, the demand for workers increases, leading to a rise in online
job advertisements to connect employers with potential employees on a national scale …

Designing effective AI models becomes a challenge when dealing with imbalanced/skewed
class distributions in datasets. Addressing this, re-sampling techniques often come into play …

In the field of machine learning, the preparation of data is a pivotal step in optimizing model
performance. This paper delves into the crucial role of data cleaning and transformation …