共 50 条
- [1] Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label Graphs MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT II, 2023, 13714 : 20 - 36
- [4] Stratified Sampling for Extreme Multi-label Data ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2021, PT II, 2021, 12713 : 334 - 345
- [5] Adaptive Model over a Multi-label Streaming Data Experimental Study over Stream Multi-label Classification 2018 21ST SAUDI COMPUTER SOCIETY NATIONAL COMPUTER CONFERENCE (NCC), 2018,
- [6] Synthetic Oversampling of Multi-label Data Based on Local Label Distribution MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT II, 2020, 11907 : 180 - 193
- [8] SMOTE: Synthetic minority over-sampling technique 2002, American Association for Artificial Intelligence (16):
- [9] Multi-fidelity model based on synthetic minority over-sampling technique Multimedia Tools and Applications, 2024, 83 : 33123 - 33139