Exploratory Undersampling for Class-Imbalance Learning

Untitled

2001 • 98,485 citations

Data Mining: Practical Machine Learning Tools and Techniques

2011 • 25,234 citations

SMOTE: Synthetic Minority Over-sampling Technique

2002 • 23,646 citations

Classification and Regression Trees.

1984 • 23,117 citations

Classification and Regression Trees.

1986 • 21,574 citations

Untitled

1996 • 16,093 citations

Bagging predictors

1996 • 14,995 citations

Robust Real-Time Face Detection

2004 • 14,086 citations

Introduction to Statistical Pattern Recognition

1990 • 11,327 citations

UCI Repository of machine learning databases

1998 • 10,520 citations

Data Mining

2008 • 9,433 citations

The use of the area under the ROC curve in the evaluation of machine learning algorithms

1997 • 6,352 citations

Stochastic gradient boosting

2002 • 6,247 citations

Stacked generalization

1992 • 6,073 citations

Introduction to statistical pattern recognition (2nd ed.)

1990 • 3,852 citations

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

2004 • 3,452 citations

The class imbalance problem: A systematic study1

2002 • 2,979 citations

Untitled

1999 • 2,564 citations

UCI Repository of Machine Learning Databases

1996 • 2,400 citations

Exploratory Undersampling for Class-Imbalance Learning

2008 • 2,265 citations

Addressing the Curse of Imbalanced Training Sets: One-Sided Selection.

1997 • 2,069 citations

The foundations of cost-sensitive learning

2001 • 1,858 citations

UCI Repository of Machine Learning Databases

1994 • 1,832 citations

What's In A Name? Malay Seals As Onomastic Sources

2018 • 1,546 citations

SMOTEBoost: Improving Prediction of the Minority Class in Boosting

2003 • 1,546 citations

Mining with rarity

2004 • 1,355 citations

MetaCost

1999 • 1,298 citations

Training cost-sensitive neural networks with methods addressing the class imbalance problem

2006 • 1,268 citations

A brief introduction to boosting

1999 • 1,230 citations

Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction

2003 • 909 citations

C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling

2003 • 852 citations

Untitled

2000 • 696 citations

Cost-sensitive learning by cost-proportionate example weighting

2004 • 656 citations

Learning from imbalanced data sets with boosting and data generation

2004 • 579 citations

AdaCost: Misclassification Cost-Sensitive Boosting

1999 • 568 citations

Issues in Stacked Generalization

1999 • 528 citations

Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade

2001 • 466 citations

Toward scalable learning with non-uniform class and cost distributions: a case study in credit card fraud detection

1998 • 443 citations

Adressing the curse of imbalanced training sets: one-sided selection

1997 • 332 citations

Boosting and Rocchio applied to text filtering

1998 • 310 citations

Multistrategy ensemble learning: reducing error by combining ensemble learning techniques

2004 • 265 citations

Fast Asymmetric Learning for Cascade Face Detection

2008 • 240 citations

NeC4.5: neural ensemble based C4.5

2004 • 188 citations

Medical diagnosis with c4.5 rule preceded by artificial neural network ensemble

2003 • 184 citations

Extracting symbolic rules from trained neural network ensembles

2003 • 166 citations

Learning classifiers from imbalanced data based on biased minimax probability machine

2004 • 97 citations

Optimizing Classifers for Imbalanced Training Sets

1998 • 95 citations

Asymmetric boosting

2007 • 84 citations

Linear Asymmetric Classifier for cascade detectors

2005 • 51 citations

An Empirical Study of MetaCost Using Boosting Algorithms

2000 • 51 citations

Cocktail Ensemble for Regression

2007 • 22 citations

On the Usefulness of Almost-Redundant Information for Pattern Recognition

2005 • 2 citations