Author:
Benchaji Ibtissam,Douzi Samira,El Ouahidi Bouabid
Publisher
Springer International Publishing
Reference17 articles.
1. Dal Pozzolo, A., Johnson, R.A., Caelen, O., Waterschoot, S., Chawla, N.V., Bontempi, G.: Using HDDT to avoid instances propagation in unbalanced and evolving data streams. In: Proceedings of the International Joint Conference on Neural Networks, pp. 588–594 (2014)
2. Dal Pozzolo, A., Caelen, O., Bontempi, G.: When is undersampling effective in unbalanced classification tasks? In: Machine Learning and Knowledge Discovery in Databases. Springer, Cambridge (2015)
3. Chawla, N., Bowyer, K., Hall, L.O., Kegelmeyer, W.P.: SMOTE: synthetic minority over-sampling technique. Artif. Intell. Res. 16, 321–357 (2002)
4. Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123–140 (1996)
5. Yoav, F., Schapire, R.E.: Experiments with a new boosting algorithm. In: Machine Learning: Proceedings of the Thirteenth International Conference, pp. 148–156 (1996)
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