A comparative study of generative adversarial networks for image
recognition algorithms based on deep learning and traditional methods

A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods

7 August 2024

Papers citing "A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods"

15 / 15 papers shown

Title
Stock Type Prediction Model Based on Hierarchical Graph Neural Network Jianhua Yao Yuxin Dong Jiajing Wang Bingxing Wang Hongye Zheng Honglin Qin AIFin 67 6 0 09 Dec 2024
Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis Mengfang Sun Wenying Sun Ying Sun Shaobo Liu Mohan Jiang Zhen Xu GNN 23 8 0 05 Oct 2024
Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessment Mohan Jiang Jiating Lin Hongju Ouyang Jingming Pan Siyuan Han Bingyao Liu 22 11 0 27 Sep 2024
Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment Bingyao Liu Iris Li Jianhua Yao Yuan Chen Guanming Huang Jiajing Wang 29 8 0 23 Sep 2024
Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing Bingyao Liu Jiajing Chen Rui Wang Junming Huang Yuanshuai Luo Jianjun Wei 20 9 0 23 Sep 2024
Graph Neural Network Framework for Sentiment Analysis Using Syntactic Feature Linxiao Wu Yuanshuai Luo Binrong Zhu Guiran Liu Rui Wang Qian Yu 26 7 0 21 Sep 2024
Contrastive Learning for Knowledge-Based Question Generation in Large Language Models Zhenhong Zhang Jiajing Chen Weiyan Shi Lingjie Yi Chihang Wang Qian Yu 19 9 0 21 Sep 2024
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation Mingxiu Sui Jiacheng Hu Tong Zhou Zibo Liu Likang Wen Junliang Du 28 7 0 20 Sep 2024
A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Images Zhizhong Wu Hao Gong Jiajing Chen Zhou Yuru LiangHao Tan Ge Shi 23 16 0 07 Sep 2024
Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training Yuhan Ma Dan Sun Erdi Gao Ningjing Sang Iris Li Guanming Huang 20 7 0 07 Sep 2024
Reducing Bias in Deep Learning Optimization: The RSGDM Approach Honglin Qin Hongye Zheng Bingxing Wang Zhizhong Wu Bingyao Liu Yuanfang Yang 26 8 0 05 Sep 2024
Advancing Financial Risk Prediction Through Optimized LSTM Model Performance and Comparative Analysis Ke Xu Yu Cheng Shiqing Long Junjie Guo Jue Xiao Mengfang Sun AI4TS 43 9 0 31 May 2024
An Enhanced Encoder-Decoder Network Architecture for Reducing Information Loss in Image Semantic Segmentation Zijun Gao Qi Wang Taiyuan Mei X. Cheng Yun Zi Haowei Yang 47 11 0 26 May 2024
Exploration of Attention Mechanism-Enhanced Deep Learning Models in the Mining of Medical Textual Data Lingxi Xiao Muqing Li Yinqiu Feng Meiqi Wang Ziyi Zhu Zexi Chen 29 16 0 23 May 2024
Research on Intelligent Aided Diagnosis System of Medical Image Based on Computer Deep Learning Jiajie Yuan Linxiao Wu Yulu Gong Zhou Yu Ziang Liu Shuyao He 23 14 0 29 Apr 2024