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TNNLS · 2022 · Journal article

KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New Classes

Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz

South China University of Technology · Guangzhou First People's Hospital · Guangzhou Medical University · University of Alberta

Publisher page ↗
Published in
IEEE Transactions on Neural Networks and Learning Systems
Date
2022-02-25
Citations
39
Cite
@article{zhang2022knnens,
  title = {KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New Classes},
  author = {Jianjun Zhang and Ting Wang and Wing W. Y. Ng and Witold Pedrycz},
  year = {2022},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  doi = {10.1109/TNNLS.2022.3149991},
  url = {https://doi.org/10.1109/TNNLS.2022.3149991},
}