Xinmin Tao

According to our database, Xinmin Tao authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Semi-supervised Kernel Fisher discriminant analysis based on exponential-adjusted geometric distance.

Zhiyu Chen, Yuqi Sun, Dongliang Hu, Yangguang Bian, Shensen Wang, Xiyuan Zhang, Xinmin Tao

Neural Comput. Appl., August, 2024

A MeanShift-guided oversampling with self-adaptive sizes for imbalanced data classification.

Xinmin Tao, Xiaohan Zhang, Yujia Zheng, Lin Qi, Zhiting Fan, Shan Huang

Inf. Sci., 2024

Heterogeneous teaching-learning based optimization with local search for the covering delivering problem in last mile delivery.

Xinmin Tao, Yiwei Wang, Yuqi Sun, Chunyu Du, Sai Tang, Junxuan Li, Deyong Ren

Expert Syst. Appl., 2024

2023

Self-adaptive oversampling method based on the complexity of minority data in imbalanced datasets classification.

Xinmin Tao, Xinyue Guo, Yujia Zheng, Xiaohan Zhang, Zhiyu Chen

Knowl. Based Syst., October, 2023

2022

Regularized semi-supervised KLFDA algorithm based on density peak clustering.

Xinmin Tao, Yixuan Bao, Xiaohan Zhang, Tian Liang, Lin Qi, Zhiting Fan, Shan Huang

Neural Comput. Appl., 2022

SVDD-based weighted oversampling technique for imbalanced and overlapped dataset learning.

Xinmin Tao, Yujia Zheng, Wei Chen, Xiaohan Zhang, Lin Qi, Zhiting Fan, Shan Huang

Inf. Sci., 2022

Fitness peak clustering based dynamic multi-swarm particle swarm optimization with enhanced learning strategy.

Xinmin Tao, Wenjie Guo, Xiangke Li, Qing He, Rui Liu, Junrong Zou

Expert Syst. Appl., 2022

2021

SVDD boundary and DPC clustering technique-based oversampling approach for handling imbalanced and overlapped data.

Xinmin Tao, Wei Chen, Xiaohan Zhang, Wenjie Guo, Lin Qi, Zhiting Fan

Knowl. Based Syst., 2021

The ensemble of density-sensitive SVDD classifier based on maximum soft margin for imbalanced datasets.

Xinmin Tao, Wei Chen, Xiangke Li, Xiaohan Zhang, Yetong Li, Jie Guo

Knowl. Based Syst., 2021

Self-Adaptive two roles hybrid learning strategies-based particle swarm optimization.

Xinmin Tao, Xiangke Li, Wei Chen, Tian Liang, Yetong Li, Jie Guo, Lin Qi

Inf. Sci., 2021

Density peak clustering using global and local consistency adjustable manifold distance.

Xinmin Tao, Wenjie Guo, Chao Ren, Qing Li, Qing He, Rui Liu, Junrong Zou

Inf. Sci., 2021

2020

Affinity and class probability-based fuzzy support vector machine for imbalanced data sets.

Xinmin Tao, Qing Li, Chao Ren, Wenjie Guo, Qing He, Rui Liu, Junrong Zou

Neural Networks, 2020

Adaptive weighted over-sampling for imbalanced datasets based on density peaks clustering with heuristic filtering.

Xinmin Tao, Qing Li, Wenjie Guo, Chao Ren, Qing He, Rui Liu, Junrong Zou

Inf. Sci., 2020

Multiple scale self-adaptive cooperation mutation strategy-based particle swarm optimization.

Xinmin Tao, Wenjie Guo, Qing Li, Chao Ren, Rui Liu

Appl. Soft Comput., 2020

2019

Spectral clustering algorithm using density-sensitive distance measure with global and local consistencies.

Xinmin Tao, Ruotong Wang, Rui Chang, Chenxi Li, Rui Liu, Junrong Zou

Knowl. Based Syst., 2019

Density-sensitive fuzzy kernel maximum entropy clustering algorithm.

Xinmin Tao, Ruotong Wang, Rui Chang, Chenxi Li

Knowl. Based Syst., 2019

Self-adaptive cost weights-based support vector machine cost-sensitive ensemble for imbalanced data classification.

Xinmin Tao, Qing Li, Wenjie Guo, Chao Ren, Chenxi Li, Rui Liu, Junrong Zou

Inf. Sci., 2019

Density-sensitive Robust Fuzzy Kernel Principal Component Analysis technique.

Xinmin Tao, Rui Chang, Chenxi Li, Ruotong Wang, Rui Liu

Neurocomputing, 2019

Real-value negative selection over-sampling for imbalanced data set learning.

Xinmin Tao, Qing Li, Chao Ren, Wenjie Guo, Chenxi Li, Qing He, Rui Liu, Junrong Zou

Expert Syst. Appl., 2019