A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare

SMOTE: Synthetic Minority Over-sampling Technique

Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall et al. · Journal of Artificial Intelligence Research · 2002 · 29.6K citations · Full text

A study of the behavior of several methods for balancing machine learning training data

Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard · ACM SIGKDD Explorations Newsletter · 2004 · 4K citations

Artificial Intelligence, Engineering, Machine Learning +19

Association of Coronary Heart Disease Incidence with Carotid Arterial Wall Thickness and Major Risk Factors: The Atherosclerosis Risk in Communities (ARIC) Study, 1987-1993

Lloyd E. Chambless, Gerardo Heiss, A. R. Folsom et al. · American Journal of Epidemiology · 1997 · 2K citations · Full text

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

Alberto Fernández, Salvador García, Francisco Herrera et al. · Journal of Artificial Intelligence Research · 2018 · 2K citations · Full text

Multiple Instance Learning, Engineering, Machine Learning +21

A Multiple Resampling Method for Learning from Imbalanced Data Sets

Andrew Estabrooks, Taeho Jo, Nathalie Japkowicz · Computational Intelligence · 2004 · 1K citations

Engineering, Machine Learning, Text Mining +16