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Haibin Jin
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Journal Articles
- 2024
- [j9]Yue Li, Jianfang Qi, Haibin Jin, Dong Tian, Weisong Mu, Jianying Feng:
An Improved Genetic-XGBoost Classifier for Customer Consumption Behavior Prediction. Comput. J. 67(3): 1041-1059 (2024) - [j8]Haibin Jin, Xiaoquan Chu, Jianfang Qi, Jianying Feng, Weisong Mu:
Learning multiple attention transformer super-resolution method for grape disease recognition. Expert Syst. Appl. 241: 122717 (2024) - 2023
- [j7]Xinxin Zhang, Fei Li, Haibin Jin, Weisong Mu:
Local Reversible Transformer for semantic segmentation of grape leaf diseases. Appl. Soft Comput. 143: 110392 (2023) - [j6]Haibin Jin, Xiaoquan Chu, Jianfang Qi, Xinxin Zhang, Weisong Mu:
CWAN: Self-supervised learning for deep grape disease image composition. Eng. Appl. Artif. Intell. 123(Part C): 106458 (2023) - [j5]Jianfang Qi, Yue Li, Haibin Jin, Jianying Feng, Weisong Mu:
User value identification based on an improved consumer value segmentation algorithm. Kybernetes 52(10): 4495-4530 (2023) - [j4]Jianfang Qi, Yue Li, Haibin Jin, Jianying Feng, Dong Tian, Weisong Mu:
A novel stratification clustering algorithm based on a new local density estimation method and an improved local inter-cluster distance measure. Int. J. Mach. Learn. Cybern. 14(12): 4251-4283 (2023) - 2022
- [j3]Haibin Jin, Yue Li, Jianfang Qi, Jianying Feng, Dong Tian, Weisong Mu:
GrapeGAN: Unsupervised image enhancement for improved grape leaf disease recognition. Comput. Electron. Agric. 198: 107055 (2022) - [j2]Yue Li, Xiaoyun Jia, Ruili Wang, Jianfang Qi, Haibin Jin, Xiaoquan Chu, Weisong Mu:
A new oversampling method and improved radial basis function classifier for customer consumption behavior prediction. Expert Syst. Appl. 199: 116982 (2022) - 2021
- [j1]Xiaoquan Chu, Haibin Jin, Yue Li, Jianying Feng, Weisong Mu:
CDA-LSTM: an evolutionary convolution-based dual-attention LSTM for univariate time series prediction. Neural Comput. Appl. 33(23): 16113-16137 (2021)
Coauthor Index
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