Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...
Abstract: Sequence classification is a fundamental research issue in data mining and machine learning. However, existing sequence classification methods primarily focus on improving the prediction ...