33.1k citations · 33.1k across the 4 of their papers we have counts for
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cs.AI2011★ 33.1k cited
SMOTE: Synthetic Minority Over-sampling Technique
N. V. Chawla, K. W. Bowyer, L. O. Hall +1
An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the classification categories are not approximately equally represe…
cs.LG2011★ 22 cited
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data
Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda +2
COMET is a single-pass MapReduce algorithm for learning on large-scale data. It builds multiple random forest ensembles on distributed blocks of data and merges them into a mega-en…