nDeepSMOTEc: An Oversampling Method for Structured Datasets

The problem of imbalanced data is pervasive in the field of machine learning, particularly in applications such as medical diagnosis and fraud detection, where minority class samples are crucial for accurate model predictions. To improve classifier performance on imbalanced datasets, this study prop...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:IEEE Access
المؤلفون الرئيسيون: Wen-Lin Fan, Chun-Chi Chuang, Chia-Wen Hsu, Chieh-Chi Huang, Ting-Rui Guo, Chung-Chian Hsu
التنسيق: مقال
اللغة:الإنجليزية
منشور في: IEEE 2025-01-01
الموضوعات:
Imbalanced datasets
oversampling technique
deep learning
structured data
DeepSMOTE
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/11151264/

الانترنت

https://ieeexplore.ieee.org/document/11151264/

مواد مشابهة