Addressing Imbalance Problem for Multi Label Classification of Scholarly Articles

Addressing Imbalance Problem for Multi Label Classification of Scholarly Articles

Scientific document classification is an important field of machine learning. Currently, scientific document category identification is done manually. There are already defined taxonomies available for categorizing scientific documents, such as the Association for Computing Machinery Computing Class...

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Bibliographic Details
Main Authors: Aiman Hafeez, Tariq Ali, Asif Nawaz, Saif Ur Rehman, Azhar Imran Mudasir, Abdulaziz A. Alsulami, Ali Alqahtani
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Multi label classification
imbalanced dataset
resampling
multi label classifier
Online Access:https://ieeexplore.ieee.org/document/10177756/

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