KerMinSVM for imbalanced datasets with a case study on arabic comics classification

Author:

Nayal Ammar,Jomaa Hadi,Awad Mariette

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference44 articles.

1. Abdulla, N.. et al. 2013. Arabic sentiment analysis: Corpus-based and lexicon-based. Proceedings of The IEEE conference on Applied Electrical Engineering and Computing Technologies (AEECT).

2. Ajeeb, N., Nayal, A., Awad, M., 2013. "Minority SVM for linearly separable imbalanced datasets, In: Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN), pp. 1–5.

3. Applying support vector machines to imbalanced datasets;Akbani;Mach. Learn. ECML 2004,2004

4. Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework.;Alcalá;J. Mult.-Value. Log. Soft Comput. 17. 2-3,2010

5. Al-Harbi, S., Almuhareb, A., Al-Thubaity, A., Al-Rajeh, M., Khorsheed, A., 2008. Automatic Arabic text classification,

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