Semi-Supervised Text Classification With Universum Learning

Author:

Liu Chien-Liang,Hsaio Wen-Hoar,Lee Chia-Hoang,Chang Tao-Hsing,Kuo Tsung-Hsun

Funder

National Science Council

Aim for the Top University Project of the National Taiwan Normal University and the Ministry of Education, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Cited by 61 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. Sparse least-squares Universum twin bounded support vector machine with adaptive Lp-norms and feature selection;Expert Systems with Applications;2024-08

2. I-S$$^2$$FND: a novel interpretable self-ensembled semi-supervised model based on transformers for fake news detection;Journal of Intelligent Information Systems;2023-10-19

3. Performing Text Classification and Categorization through Deep Learning and Semi-Supervised Learning;2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC);2023-10-14

4. Performing Text Classification and Categorization through Deep Learning and Semi-Supervised Learning;2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC);2023-10-14

5. Recursive universum linear discriminant analysis;Optimization Letters;2023-09-29

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