Recently, machine learning models are expected to …
Imbalanced data classification is a prevalent chal…
This paper presents a novel end-to-end oversamplin…
In semiconductor manufacturing processes, spatial …
Density peaks clustering (DPC), which is short for…
Stringent global regulations aim to reduce nitroge…
The imbalance of classes in real-world datasets po…
In most manufacturing sites, the data collected fr…
Imbalanced data classification is a challenging pr…
Clustering is a subjective task, that is, several …
The naive Bayesian classification method has recei…
Since the coronavirus disease 2019 (COVID-19) pand…
Imbalanced data classification is one of the most …
Two-way cooperative collaborative filtering (CF) h…
Although transmission electron microscopy (TEM) ma…
