- [1] Multiple similarity drug-target interaction prediction with random walks and matrix factorization.[J].Brefings in Bioinformatics,2022,23(5):1-9.
- [2] Multi-label sampling based on local label imbalance.[J].Pattern Recognition,2022(122):108294.
- [3] Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction.Arxiv,2022
- [4] Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery.[J].Applied Intelligence,2021,52:3705–3727.
- [5] Dealing with class imbalance in classifier chains via random undersampling.[J].Knowledge-Based Systems,2020,192:105292.
- [6] Synthetic Oversampling of Multi-label Data Based on Local Label Distribution.[C].ECML-PKDD,2019,11907:180-193.
- [7] Making Classifier Chains Resilient to Class Imbalance.[C].ACML,2018,95:280-295.
- [8] 基于标签关联的多标签演化超网络.[J].电子学报,2018,6(4):1012-1018.
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