Ensemble of classifier chains and decision templates for multi-label classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10115-021-01647-4.pdf
Reference35 articles.
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3. Moyano JM, Gibaja EL, Cios KJ, Ventura S (2018) Review of ensembles of multi-label classifiers: models, experimental study and prospects. Inform Fusion 44:33–45
4. Chen ZM, Wei XS, Wang P, Guo Y (2019) Multi-label image recognition with graph convolutional networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 5177–5186
5. Chou KC (2019) Advances in predicting subcellular localization of multi-label proteins and its implication for developing multi-target drugs. Curr Med Chem 26(26):4918–4943
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