A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

2011 · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · 2,834 citations · 7 from inside this corpus

Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera

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What this paper cites, inside the corpus

Paper	Year	Cited
SMOTE: Synthetic Minority Over-sampling Technique	2002	32,402
C4.5: Programs for Machine Learning	1992	23,704
Bagging Predictors	1996	17,191
Bagging predictors	1996	16,468
Statistical Comparisons of Classifiers over Multiple Data Sets	2006	11,215
Learning from Imbalanced Data	2009	10,209
The use of the area under the ROC curve in the evaluation of machine learning algorithms	1997	7,328
On combining classifiers	1998	5,302
A study of the behavior of several methods for balancing machine learning training data	2004	4,222
Pattern Classification	2001	3,744
Neural Networks and the Bias/Variance Dilemma	1992	3,612
The class imbalance problem: A systematic study1	2002	3,353
The Strength of Weak Learnability	1990	3,344
Combining Pattern Classifiers	2004	2,980
Ensemble based systems in decision making	2006	2,965
Improved boosting algorithms using confidence-rated predictions	1998	2,573
Exploratory Undersampling for Class-Imbalance Learning	2008	2,504
The strength of weak learnability	1990	2,477
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Ac…	2003	2,321
Advanced nonparametric tests for multiple comparisons in the design of experiments in com…	2009	2,231
Using AUC and accuracy in evaluating learning algorithms	2005	2,163
Improved Boosting Algorithms Using Confidence-rated Predictions	1999	1,966
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance	2009	1,890
Neural Network Ensembles, Cross Validation, and Active Learning	1994	1,803
CLASSIFICATION OF IMBALANCED DATA: A REVIEW	2009	1,713
SMOTEBoost: Improving Prediction of the Minority Class in Boosting	2003	1,680
Decision combination in multiple classifier systems	1994	1,515
KEEL: a software tool to assess evolutionary algorithms for data mining problems	2008	1,508
Cost-sensitive boosting for classification of imbalanced data	2007	1,438

What cites it, inside the corpus

Paper	Year	Cited
Ensemble learning: A survey	2018	3,088
Learning from imbalanced data: open challenges and future directions	2016	2,489
Learning from class-imbalanced data: Review of methods and applications	2016	2,407
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann…	2018	2,226
A survey on ensemble learning	2019	1,951
An insight into classification with imbalanced data: Empirical results and current trends…	2013	1,602
Deep Learning Applications in Medical Image Analysis	2017	1,497

Links

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Topics

Imbalanced Data Classification Techniques	Computer Science
Electricity Theft Detection Techniques	Engineering
Vehicle License Plate Recognition	Engineering

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