Hongjiao Guan

According to our database, Hongjiao Guan authored at least 13 papers between 2016 and 2023.

Collaborative distances:

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

2023

Improved ReliefF-based feature selection algorithm for cancer histology.

Jiao Liu, Long Zhao, Chengkun Si, Hongjiao Guan, Xiangjun Dong

Biomed. Signal Process. Control., August, 2023

Extended natural neighborhood for SMOTE and its variants in imbalanced classification.

Hongjiao Guan, Long Zhao, Xiangjun Dong, Chuan Chen

Eng. Appl. Artif. Intell., 2023

Fusion of Dynamic Hypergraph and Clinical Event for Sequential Diagnosis Prediction.

Xin Zhang, Xueping Peng, Hongjiao Guan, Long Zhao, Xinxiao Qiao, Wenpeng Lu

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Self-Paced Self-Training Based on K-Nearest Neighbors.

Yongzheng Ma, Zhengkai Sun, Yintong Zhang, Hongjiao Guan, Xinxiao Qiao

Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023

2022

Dual Self-Paced SMOTE for Imbalanced Data.

Yangguang Shao, Yingying Sun, Hongjiao Guan

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling.

Hongjiao Guan, Yingtao Zhang, Min Xian, Heng-Da Cheng, Xianglong Tang

Appl. Intell., 2021

A Generalized Optimization Embedded Framework of Undersampling Ensembles for Imbalanced Classification.

Hongjiao Guan, Yingtao Zhang, Bin Ma, Jian Li, Chunpeng Wang

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data.

Hongjiao Guan, Bin Ma, Yingtao Zhang, Xianglong Tang

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Bounded-abstaining classification for breast tumors in imbalanced ultrasound images.

Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Xianglong Tang

Int. J. Appl. Math. Comput. Sci., 2020

2019

BA2Cs: Bounded abstaining with two constraints of reject rates in binary classification.

Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Min Xian, Xianglong Tang

Neurocomputing, 2019

MOBA: A multi-objective bounded-abstention model for two-class cost-sensitive problems.

Hongjiao Guan

CoRR, 2019

2018

Abstaining Classification When Error Costs are Unequal and Unknown.

Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Xianglong Tang

CoRR, 2018

2016

WENN for individualized cleaning in imbalanced data.

Hongjiao Guan, Yingtao Zhang, Min Xian, Heng-Da Cheng, Xianglong Tang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016