Deep feature extraction with tri-channel textual feature map for text classification-Reference-Cited by-同舟云学术

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Deep feature extraction with tri-channel textual feature map for text classification

Published:2024-02 Issue: Volume:178 Page:49-54
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Li Kunyan,Kang Chen^ORCID

Funder

China Association for Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference34 articles.

1. Compositional coding capsule network with k-means routing for text classification;Ren;Pattern Recognit. Lett.,2022

2. Artificial intelligence-based robust hybrid algorithm design and implementation for real-time detection of plant diseases in agricultural environments;Yağ;Biology,2022

3. Deep Learning with Python;Chollet,2021

4. Semi-lexical languages: a formal basis for using domain knowledge to resolve ambiguities in deep-learning based computer vision;Gangopadhyay;Pattern Recognit. Lett.,2021

5. Overcoming nonlinear dynamics in diabetic retinopathy classification: a robust AI-based model with chaotic swarm intelligence optimization and recurrent long short-term memory;Özçelik;Fract. Fract.,2023

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. Deep SORT Related Studies;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-04-19

2. Text Classification Based on Hierarchical Weighted Aggregation and Selective Convolution;2024

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