Haibin Jin

According to our database1, Haibin Jin authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Learning multiple attention transformer super-resolution method for grape disease recognition.
Expert Syst. Appl., 2024

An Improved Genetic-XGBoost Classifier for Customer Consumption Behavior Prediction.
Comput. J., 2024

2023
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., December, 2023

Local Reversible Transformer for semantic segmentation of grape leaf diseases.
Appl. Soft Comput., August, 2023

User value identification based on an improved consumer value segmentation algorithm.
Kybernetes, 2023

CWAN: Self-supervised learning for deep grape disease image composition.
Eng. Appl. Artif. Intell., 2023

2022
A new oversampling method and improved radial basis function classifier for customer consumption behavior prediction.
Expert Syst. Appl., 2022

GrapeGAN: Unsupervised image enhancement for improved grape leaf disease recognition.
Comput. Electron. Agric., 2022

2021
CDA-LSTM: an evolutionary convolution-based dual-attention LSTM for univariate time series prediction.
Neural Comput. Appl., 2021


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