Discriminative elastic-net broad learning systems for visual classification

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Li, Yanting, et al. “Discriminative Elastic-Net Broad Learning Systems for Visual Classification”. Applied Soft Computing, vol. 155, 2024, p. 111445, https://doi.org/10.1016/j.asoc.2024.111445.
Li, Y., Jin, J., Geng, Y., Xiao, Y., Liang, J., & Chen, C. P. (2024). Discriminative elastic-net broad learning systems for visual classification. Applied Soft Computing, 155, 111445. https://doi.org/10.1016/j.asoc.2024.111445
Li, Yanting, Junwei Jin, Yun Geng, Yang Xiao, Jing Liang, and C.L. Philip Chen. “Discriminative Elastic-Net Broad Learning Systems for Visual Classification”. Applied Soft Computing 155 (2024): 111445. https://doi.org/10.1016/j.asoc.2024.111445.
Li Y, Jin J, Geng Y, Xiao Y, Liang J, Chen CP. Discriminative elastic-net broad learning systems for visual classification. Applied Soft Computing. 2024;155:111445.
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Refrences Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science55
Technology: Mechanical engineering and machinery28
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics19
Technology: Engineering (General). Civil engineering (General)15
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks10
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware6
Science: Biology (General)6
Technology: Chemical technology: Biotechnology4
Technology: Technology (General): Industrial engineering. Management engineering4
Medicine: Medicine (General): Medical technology3
Medicine: Medicine (General): Computer applications to medicine. Medical informatics3
Technology: Technology (General): Industrial engineering. Management engineering: Information technology2
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication2
Science: Science (General): Cybernetics: Information theory2
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Manufactures: Production management. Operations management1
Science: Mathematics1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 55 is the most frequently represented among the references in this article. It primarily includes studies from IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year