ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams
Author:
Funder
Virginia Commonwealth University
Amazon Web Services
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s10994-022-06168-x.pdf
Reference84 articles.
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3. Aljundi, R., Kelchtermans, K., & Tuytelaars, T. (2019). Task-free continual learning. In IEEE conference on computer vision and pattern recognition (pp. 11254–11263).
4. Aminian, E., Ribeiro, R. P., & Gama, J. (2020). A study on imbalanced data streams. In Machine learning and knowledge discovery in databases (pp. 380–389).
5. Anupama, N., & Jena, S. (2019). A novel approach using incremental oversampling for data stream mining. Evolving Systems, 10(3), 351–362.
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