This article presents a general sampling method, called granular-ball sampling (GBS), for
classification problems by introducing the idea of granular computing. The GBS method …

A procedure to recognize individual discontinuities in rock mass from measurement while
drilling (MWD) technology is developed, using the binary pattern of structural rock …

The logistic regression model is widely used in credit scoring practice due to its strong
interpretability of results, but its recognition performance for default samples which are …

This article presents a simple sampling method, which is very easy to be implemented, for
classification by introducing the idea of random space division, called “random space …

Female Daily is a beauty platform that has social media application share users'
experiences of beauty by posting images and text in a post. Female Daily has terms of …

Purpose To examine the usefulness of machine learning to predict prognosis in cervical
cancer using clinical and radiomic features of 2-deoxy-2-[18 F] fluoro-D-glucose (18 F-FDG) …

Objective: To examine whether machine learning (ML) analyses involving clinical and 18F-
FDG-PET-based radiomic features are helpful in predicting prognosis in patients with …

Support vector machines (SVMs) are well-known machine learning algorithms for
classification and regression applications. In the healthcare domain, they have been used …

Class imbalance problem is prevalent in many real-world domains. It has become an active
area of research. In binary classification problems, imbalance learning refers to learning …

Shopping activities in the online market, especially fashion trends, continue to increase with
all the promo efforts offered. One of the considerations for buying products on the online …