Jingjun Bi

An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme

Jingjun Bi, Chongsheng Zhang · Knowledge-Based Systems · 2018 · 198 citations

Empirical Comparison, Engineering, Machine Learning +13

Multi-Imbalance: An open-source software for multi-class imbalance learning

Chongsheng Zhang, Jingjun Bi, Shixin Xu et al. · Knowledge-Based Systems · 2019 · 163 citations

Engineering, Machine Learning, Data Science +7

An empirical study on the joint impact of feature selection and data resampling on imbalance classification

Chongsheng Zhang, Paolo Soda, Jingjun Bi et al. · Applied Intelligence · 2022 · 33 citations · Full text

Data Classification, Engineering, Machine Learning +12

Sample-weighted fused graph-based semi-supervised learning on multi-view data

Jingjun Bi, Fadi Dornaika · Information Fusion · 2023 · 23 citations · Full text

Graph-based Semi-supervised Learning, Geometric Learning, Fused Graph +15

Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain

Chongsheng Zhang, Jingjun Bi, Paolo Soda · 2017 · 20 citations

Engineering, Machine Learning, Biological Domain +17