Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +10

SMOTE: Synthetic Minority Over-sampling Technique

Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall et al. · Journal of Artificial Intelligence Research · 2002 · 31.2K citations · Full text

Computing, Computer Science, Data Science +12

Greedy function approximation: A gradient boosting machine.

Jerome H. Friedman · The Annals of Statistics · 2001 · 29K citations · Full text

Computing, Computer Science, Mathematics +17

Learning from Imbalanced Data

Haibo He, Edwardo A. Garcia · IEEE Transactions on Knowledge and Data Engineering · 2009 · 9.7K citations

Computing, Computer Science, Data Science +17

Self-organized formation of topologically correct feature maps

Teuvo Kohonen · Biological Cybernetics · 1982 · 9.5K citations

Natural Sciences, Computer Science, Pattern Formation +12