Who Cited It

Exploratory Undersampling for Class-Imbalance Learning

2008 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2,504 citations · 7 from inside this corpus

Xuying Liu, Jianxin Wu, Zhihua Zhou

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Exploratory Undersampling for Class-Imbalance Learning (2008)Exploratory Undersampling for…Random Forests (2001)Random ForestsSMOTE: Synthetic Minority Over-sampling Technique (2002)SMOTE: Synthetic Minority Ove…Classification and Regression Trees. (1986)Classification and Regression…Bagging Predictors (1996)Bagging PredictorsBagging predictors (1996)Bagging predictorsIntroduction to Statistical Pattern Recognition (1990)Introduction to Statistical P…UCI Repository of machine learning databases (1998)UCI Repository of machine lea…Stacked generalization (1992)Stacked generalizationThe use of the area under the ROC curve in the evaluation of machine learning algorithms (1997)The use of the area under the…A study of the behavior of several methods for balancing machine learning training data (2004)Introduction to statistical pattern recognition (2nd ed.) (1990)Introduction to statistical p…The class imbalance problem: A systematic study1 (2002)The class imbalance problem: …An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia… (1999)An Empirical Comparison of Vo…UCI Repository of Machine Learning Databases (1996)UCI Repository of Machine Lea…Editorial (2004)EditorialThe foundations of cost-sensitive learning (2001)The foundations of cost-sensi…UCI Repository of Machine Learning Databases (1994)UCI Repository of Machine Lea…SMOTEBoost: Improving Prediction of the Minority Class in Boosting (2003)SMOTEBoost: Improving Predict…Mining with rarity (2004)Mining with rarityLearning from Imbalanced Data (2009)Learning from Imbalanced DataA systematic study of the class imbalance problem in convolutional neural networks (2018)A systematic study of the cla…Survey on deep learning with class imbalance (2019)Survey on deep learning with …A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba… (2011)A Review on Ensembles for the…Learning from class-imbalanced data: Review of methods and applications (2016)Learning from class-imbalance…A survey on ensemble learning (2019)A survey on ensemble learningAn insight into classification with imbalanced data: Empirical results and current trends… (2013)An insight into classificatio…
26 of 26 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Random Forests2001131,109
SMOTE: Synthetic Minority Over-sampling Technique200232,402
Classification and Regression Trees.198621,044
Bagging Predictors199617,191
Bagging predictors199616,468
Introduction to Statistical Pattern Recognition199011,140
UCI Repository of machine learning databases199810,546
Stacked generalization19927,777
The use of the area under the ROC curve in the evaluation of machine learning algorithms19977,328
A study of the behavior of several methods for balancing machine learning training data20044,222
Introduction to statistical pattern recognition (2nd ed.)19903,814
The class imbalance problem: A systematic study120023,353
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…19992,656
UCI Repository of Machine Learning Databases19962,343
Editorial20042,081
The foundations of cost-sensitive learning20011,837
UCI Repository of Machine Learning Databases19941,812
SMOTEBoost: Improving Prediction of the Minority Class in Boosting20031,680
Mining with rarity20041,396

What cites it, inside the corpus

PaperYearCited
Learning from Imbalanced Data200910,209
A systematic study of the class imbalance problem in convolutional neural networks20183,072
Survey on deep learning with class imbalance20192,971
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…20112,834
Learning from class-imbalanced data: Review of methods and applications20162,407
A survey on ensemble learning20191,951
An insight into classification with imbalanced data: Empirical results and current trends…20131,602

Links

DOI · OpenAlex record

Topics

Imbalanced Data Classification TechniquesComputer Science
Electricity Theft Detection TechniquesEngineering

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complete

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  • supports3 author record(s) attached.
  • supports66 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:49+00:00.

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