Jingjun Bi
Orcid: 0000-0003-3802-7690
According to our database1,
Jingjun Bi
authored at least 10 papers
between 2016 and 2024.
Collaborative distances:
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Timeline
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Bibliography
2024
Inf. Fusion, April, 2024
2023
Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification.
Appl. Intell., April, 2023
An empirical study on the joint impact of feature selection and data resampling on imbalance classification.
Appl. Intell., March, 2023
A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization.
Neural Networks, January, 2023
A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization.
Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023
2021
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification.
CoRR, 2021
2019
Knowl. Based Syst., 2019
2018
An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme.
Knowl. Based Syst., 2018
2017
Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
A parameter-free label propagation algorithm for person identification in stereo videos.
Neurocomputing, 2016