In practical applications, imbalanced datasets significantly degrade the classification
performance of machine learning models. However, most conventional resampling …

The existing classification methods of LiDAR point cloud are almost based on the
assumption that each class is balanced, without considering the imbalanced class problem …

Financial distress identification remains an essential topic in the scientific literature due to its
importance for society and the economy. The advancements in information technology and …

As one of the supervised learning techniques, classification plays a crucial role in
categorizing and predicting the observations across a wide range of machine learning …

Hazardous materials (aka hazmats) are transported by containers with special equipment in
transportation engineering but must be declared prior to shipment. Some shippers …

In various machine learning applications, classification plays an important role in
categorizing and predicting data. To improve the classification performance, it is crucial to …

Indonesian medicinal plants, such as turmeric and soursop, have shown promising
anticancer properties through their bioactive compounds, like curcumin and extracts from …