MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

Abstract: This research aims to evaluate and compare the performance of various classification algorithms under conditions of small dataset quantity. Six algorithms were tested, namely NaÏve Bayes, ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

1 College of Information Science and Technology, Jinan University, Guangzhou, China. 2 University of Birmingham Joint Institute, Jinan University, Guangzhou, China. Text classification is an essential ...

The high prevalence of polycystic ovary syndrome (PCOS) among reproductive-aged women has attracted more and more attention. As a common disorder that is likely to threaten women’s health physically ...

Abstract: Classification problems have an important role in the field of machine learning and data mining. Classification problems are used in different areas such as disease diagnosis, estimation of ...

For a financial company, customer complaints are crucial as they provide insights into the shortcomings of their products and services. Resolving complaints efficiently and on time can reduce customer ...

How do words develop new senses? Unlike changes in sound or grammar where there are rich formal characterizations, semantic change is poorly understood. Changes in meaning are often considered ...

Electronic medical records are emerging as a major source of data for clinical and translational research studies, although phenotypes of interest need to be accurately defined first. This article ...