Xinmin Tao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Kernel Fisher Discriminant Analysis

Imbalanced Data

Top Venues

Knowl. Based Syst.

Expert Syst. Appl.

Neural Comput. Appl.

Publications

Xinmin Tao, Xiaohan Zhang, Yujia Zheng, Lin Qi, Zhiting Fan, Shan Huang
A MeanShift-guided oversampling with self-adaptive sizes for imbalanced data classification. Inf. Sci. 672 (2024)
Xinmin Tao, Yiwei Wang, Yuqi Sun, Chunyu Du, Sai Tang, Junxuan Li, Deyong Ren
Heterogeneous teaching-learning based optimization with local search for the covering delivering problem in last mile delivery. Expert Syst. Appl. 252 (2024)
Zhiyu Chen, Yuqi Sun, Dongliang Hu, Yangguang Bian, Shensen Wang, Xiyuan Zhang, Xinmin Tao
Semi-supervised Kernel Fisher discriminant analysis based on exponential-adjusted geometric distance. Neural Comput. Appl. 36 (24) (2024)
Xinmin Tao, Xinyue Guo, Yujia Zheng, Xiaohan Zhang, Zhiyu Chen
Self-adaptive oversampling method based on the complexity of minority data in imbalanced datasets classification. Knowl. Based Syst. 277 (2023)
Xinmin Tao, Yujia Zheng, Wei Chen, Xiaohan Zhang, Lin Qi, Zhiting Fan, Shan Huang
SVDD-based weighted oversampling technique for imbalanced and overlapped dataset learning. Inf. Sci. 588 (2022)
Xinmin Tao, Yixuan Bao, Xiaohan Zhang, Tian Liang, Lin Qi, Zhiting Fan, Shan Huang
Regularized semi-supervised KLFDA algorithm based on density peak clustering. Neural Comput. Appl. 34 (22) (2022)
Xinmin Tao, Wenjie Guo, Xiangke Li, Qing He, Rui Liu, Junrong Zou
Fitness peak clustering based dynamic multi-swarm particle swarm optimization with enhanced learning strategy. Expert Syst. Appl. 191 (2022)
Xinmin Tao, Wei Chen, Xiangke Li, Xiaohan Zhang, Yetong Li, Jie Guo
The ensemble of density-sensitive SVDD classifier based on maximum soft margin for imbalanced datasets. Knowl. Based Syst. 219 (2021)
Xinmin Tao, Wenjie Guo, Chao Ren, Qing Li, Qing He, Rui Liu, Junrong Zou
Density peak clustering using global and local consistency adjustable manifold distance. Inf. Sci. 577 (2021)
Xinmin Tao, Xiangke Li, Wei Chen, Tian Liang, Yetong Li, Jie Guo, Lin Qi
Self-Adaptive two roles hybrid learning strategies-based particle swarm optimization. Inf. Sci. 578 (2021)
Xinmin Tao, Wei Chen, Xiaohan Zhang, Wenjie Guo, Lin Qi, Zhiting Fan
SVDD boundary and DPC clustering technique-based oversampling approach for handling imbalanced and overlapped data. Knowl. Based Syst. 234 (2021)
Xinmin Tao, Qing Li, Chao Ren, Wenjie Guo, Qing He, Rui Liu, Junrong Zou
Affinity and class probability-based fuzzy support vector machine for imbalanced data sets. Neural Networks 122 (2020)
Xinmin Tao, Qing Li, Wenjie Guo, Chao Ren, Qing He, Rui Liu, Junrong Zou
Adaptive weighted over-sampling for imbalanced datasets based on density peaks clustering with heuristic filtering. Inf. Sci. 519 (2020)
Xinmin Tao, Wenjie Guo, Qing Li, Chao Ren, Rui Liu
Multiple scale self-adaptive cooperation mutation strategy-based particle swarm optimization. Appl. Soft Comput. 89 (2020)
Xinmin Tao, Ruotong Wang, Rui Chang, Chenxi Li
Density-sensitive fuzzy kernel maximum entropy clustering algorithm. Knowl. Based Syst. 166 (2019)
Xinmin Tao, Ruotong Wang, Rui Chang, Chenxi Li, Rui Liu, Junrong Zou
Spectral clustering algorithm using density-sensitive distance measure with global and local consistencies. Knowl. Based Syst. 170 (2019)
Xinmin Tao, Rui Chang, Chenxi Li, Ruotong Wang, Rui Liu
Density-sensitive Robust Fuzzy Kernel Principal Component Analysis technique. Neurocomputing 329 (2019)
Xinmin Tao, Qing Li, Chao Ren, Wenjie Guo, Chenxi Li, Qing He, Rui Liu, Junrong Zou
Real-value negative selection over-sampling for imbalanced data set learning. Expert Syst. Appl. 129 (2019)
Xinmin Tao, Qing Li, Wenjie Guo, Chao Ren, Chenxi Li, Rui Liu, Junrong Zou
Self-adaptive cost weights-based support vector machine cost-sensitive ensemble for imbalanced data classification. Inf. Sci. 487 (2019)