共 24 条
- [2] An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling COMPUTATIONAL COLLECTIVE INTELLIGENCE, PT I, 2019, 11683 : 601 - 610
- [3] Dynamic weighted majority based on over-sampling for imbalanced data streams 2021 THE 4TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INTELLIGENT SYSTEMS, CIIS 2021, 2021, : 87 - 95
- [4] Abstention-SMOTE: An over-sampling approach for imbalanced data classification PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY (ICIT 2017), 2017, : 17 - 21
- [5] A Learning Approach with Under-and Over-sampling for Imbalanced Data Sets PROCEEDINGS 2016 5TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS IIAI-AAI 2016, 2016, : 725 - 729
- [7] Weighted One-Class Classification for Different Types of Minority Class Examples in Imbalanced Data 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), 2014, : 337 - 344
- [8] Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification COMPUTATIONAL SCIENCE - ICCS 2020, PT IV, 2020, 12140 : 117 - 127
- [9] A Normal Distribution-Based Over-Sampling Approach to Imbalanced Data Classification ADVANCED DATA MINING AND APPLICATIONS, PT I, 2011, 7120 : 83 - 96
- [10] Learning from Imbalanced Data Using Over-Sampling and the Firefly Algorithm COMPUTATIONAL COLLECTIVE INTELLIGENCE (ICCCI 2021), 2021, 12876 : 373 - 386