Improving clustering-based and adaptive position-aware interpolation oversampling for imbalanced data classification
Class imbalance is one of the most significant difficulties in modern machine learning. This is because of the inherent bias of standard classifiers toward favoring majority instances while often ignoring minority instances. Interpolation-based oversampling techniques are among the most popular solu...
| الحاوية / القاعدة: | Journal of King Saud University - Computer and Information Sciences |
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| المؤلف الرئيسي: | |
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
King Saud bin Abdulaziz University
2024
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212189270&doi=10.1016%2fj.jksuci.2024.102253&partnerID=40&md5=1ce58b30e34c016e1273671a86217847 |