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LDAS: Local density-based adaptive sampling for imbalanced data classification.

, , , , , и . Expert Syst. Appl., (2022)

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Wen-Yuan Ting

Yan Yan

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Wen-tsi Ting

Hans Ting

 

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A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification., , , , , и . IEEE Access, (2019)Network Performance Analysis Based on Quotient Space Theory., , , и . RSFDGrC, том 8170 из Lecture Notes in Computer Science, стр. 216-224. Springer, (2013)Robust gravitation based adaptive k-NN graph under class-imbalanced scenarios., , , , , и . Knowl. Based Syst., (2022)Multi-granulation Ensemble Classification for Incomplete Data., , и . RSKT, том 8818 из Lecture Notes in Computer Science, стр. 343-351. Springer, (2014)Combating Mutuality with Difficulty Factors in Multi-class Imbalanced Data: A Similarity-based Hybrid Sampling., , , и . DSAA, стр. 1-10. IEEE, (2022)Multiple-Side Multiple-Learner for Incomplete Data Classification., , и . RSFDGrC, том 9437 из Lecture Notes in Computer Science, стр. 322-331. Springer, (2015)DeepPPI: Boosting Prediction of Protein-Protein Interactions with Deep Neural Networks., , , , , и . J. Chem. Inf. Model., 57 (6): 1499-1510 (июня 2017)Nearest-Neighbor Modified Constructive Covering Oversampling Method., , и . ISKE, стр. 579-585. IEEE, (2021)DeepMVF-RBP: Deep Multi-view Fusion Representation Learning for RNA-binding Proteins Prediction., , , , , и . BIBM, стр. 65-68. IEEE Computer Society, (2018)LDAS: Local density-based adaptive sampling for imbalanced data classification., , , , , и . Expert Syst. Appl., (2022)