A Robust Ensemble Method for Classification in Imbalanced Datasets in the Presence of Noise
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-68133-3_11
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3. Lecture Notes in Networks and Systems;N Nigam,2020
4. Sáez, J.A., Galar, M., Luengo, J., Herrera, F.: Tackling the problem of classification with noisy data using multiple classifier systems: analysis of the performance and robustness. Inf. Sci. (Ny) 247, 1–20 (2013). https://doi.org/10.1016/j.ins.2013.06.002
5. Walmsley, F.N., Cavalcanti, G.D.C., Oliveira, D.V.R., Cruz, R.M.O., Sabourin, R.: An ensemble generation method based on instance hardness. In: Proceedings of International Joint Conference Neural Networks, July 2018 (2018). https://doi.org/10.1109/ijcnn.2018.8489269
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