Author:
Alazaidah Raed,Alzyoud Mazen,Al-Shanableh Najah,Alzoubi Haneen
Reference29 articles.
1. E. Gibaja, and S. Ventura, “A tutorial on multilabel learning,”.ACM Computing Surveys (CSUR), 47(3), 52.
2. M. Alluwaici, A. K. Junoh, F. K. Ahmad, M. F. M. Mohsen, and R. Alazaidah, R., “ Open research directions for multi label learning,” In 2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) (pp. 125–128). IEEE, 2018.
3. R. Alazaidah, A. F. Ahmad, and M. F. M. Mohsen,.” A comparative analysis between the three main approaches that are being used to solve the problem of multi label classification,” International Journal of Soft Computing, 12(4), 218–223, 2017.
4. Multi Label Ranking Based on Positive Pairwise Correlations Among Labels
5. New Problem Transformation Method Based on the Local Positive Pairwise Dependencies Among Labels
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. The Significance of Utilizing the dependencies among Labels in Multi Label Classification;2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI);2023-12-27
2. Utilizing Machine Learning in Medical Diagnosis: Systematic Review and Empirical Analysis;2023 24th International Arab Conference on Information Technology (ACIT);2023-12-06