Addressing Imbalance Problem for Multi Label Classification of Scholarly Articles-Reference-Cited by-同舟云学术

Addressing Imbalance Problem for Multi Label Classification of Scholarly Articles

Published:2023 Issue: Volume:11 Page:74500-74516
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hafeez Aiman¹,Ali Tariq¹^ORCID,Nawaz Asif¹^ORCID,Rehman Saif Ur¹^ORCID,Mudasir Azhar Imran²^ORCID,Alsulami Abdulaziz A.³^ORCID,Alqahtani Ali⁴^ORCID

Affiliation:

1. University Institute of Information Technology (UIIT), PMAS Arid Agriculture University, Rawalpindi, Pakistan

2. Department of Creative Technologies, Faculty of Computing and Artificial Intelligence, Air University, Islamabad, Pakistan

3. Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

4. Department of Networks and Communications Engineering, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia

Funder

Deanship of Scientific Research, Najran University, through the Research Groups Funding Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10177756.pdf?arnumber=10177756

Reference35 articles.

1. Towards Class-Imbalance Aware Multi-Label Learning

2. A novel improved random forest for text classification using feature ranking and optimal number of trees

3. Hierarchical Multi-label Text Classification

4. An Empirical Study of Lazy Multilabel Classification Algorithms

5. Multi-label hierarchical text classification using the ACM taxonomy;santos;Proc 14th Portuguese Conf Artif Intell (EPIA),2009

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