1. Machine learning: trends, perspectives, and prospects;Jordan;Science,2015
2. A review on ensembles for the class imbalance problem: bagging-, boosting-, and hybrid-based approaches;Galar;IEEE Trans. Syst., Man, Cybern., Part C (Appl. Rev.),2011
3. Survey on KNN methods in data science;Syriopoulos,2022
4. Lectures on the nearest neighbor method;Biau,2015
5. Rate of convergence of K-nearest-neighbor classification rule;Doring;J. Mach. Learn. Res.,2018