Dynamic Centroid Insertion and Adjustment for Data Sets with Multiple Imbalanced Classes

Dynamic Centroid Insertion and Adjustment for Data Sets with Multiple Imbalanced Classes. Silva, E. J. R. & Zanchettin, C. In Tetko, I. V., Kurková, V., Karpov, P., & Theis, F. J., editors, Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part II, volume 11728, of Lecture Notes in Computer Science, pages 766–778, 2019. Springer.

Paper doi bibtex

@inproceedings{DBLP:conf/icann/SilvaZ19,
  author       = {Evandro J. R. Silva and
                  Cleber Zanchettin},
  editor       = {Igor V. Tetko and
                  Vera Kurkov{\'{a}} and
                  Pavel Karpov and
                  Fabian J. Theis},
  title        = {Dynamic Centroid Insertion and Adjustment for Data Sets with Multiple
                  Imbalanced Classes},
  booktitle    = {Artificial Neural Networks and Machine Learning - {ICANN} 2019: Deep
                  Learning - 28th International Conference on Artificial Neural Networks,
                  Munich, Germany, September 17-19, 2019, Proceedings, Part {II}},
  series       = {Lecture Notes in Computer Science},
  volume       = {11728},
  pages        = {766--778},
  publisher    = {Springer},
  year         = {2019},
  url          = {https://doi.org/10.1007/978-3-030-30484-3\_60},
  doi          = {10.1007/978-3-030-30484-3\_60},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icann/SilvaZ19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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