Data generation using geometrical edge probability for one-class support vector machines

Author:

Lee Geonseok,Woo Pilwon,Lee KichunORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference32 articles.

1. Amer, M., Goldstein, M., & Abdennadher, S. (2013). Enhancing one-class support vector machines for unsupervised anomaly detection. In Proceedings of the ACM SIGKDD workshop on outlier detection and description (pp. 8–15).

2. Counter-example generation-based one-class classification;Bánhalmi,2007

3. One-class classification–from theory to practice: A case-study in radioactive threat detection;Bellinger;Expert Systems with Applications,2018

4. Framework for extreme imbalance classification: SWIM—sampling with the majority class;Bellinger;Knowledge and Information Systems,2020

5. Safe-level-smote: Safe-level-synthetic minority over-sampling technique for handling the class imbalanced problem;Bunkhumpornpat,2009

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