IA-KNNR: A Novel Imbalance-Aware Approach for Handling Multi-Label Class Imbalance Problem
Multi-label learning (MLL) is a supervised learning where the classifier needs to learn from the data where one instance can belong to more than one class (label). Due to its wide application, MLL has attracted great attention from academia and researchers. However, due to the complex nature of mult...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11075775/ |
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