Who Cited It

Cost-sensitive boosting for classification of imbalanced data

2007 · Pattern Recognition · 1,438 citations · 8 from inside this corpus

Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong, Yang Wang

No abstract in the source record.

Cost-sensitive boosting for classification of imbalanced data (2007)Cost-sensitive boosting for c…Random Forests (2001)Random ForestsAdaptation in Natural and Artificial Systems (1992)Adaptation in Natural and Art…SMOTE: Synthetic Minority Over-sampling Technique (2002)SMOTE: Synthetic Minority Ove…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…Bagging Predictors (1996)Bagging PredictorsBagging predictors (1996)Bagging predictorsInduction of Decision Trees (1986)Induction of Decision TreesExperiments with a new boosting algorithm (1996)Experiments with a new boosti…On combining classifiers (1998)On combining classifiersBayesian Network Classifiers (1997)Bayesian Network ClassifiersA study of the behavior of several methods for balancing machine learning training data (2004)A study of the behavior of se…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…Improved boosting algorithms using confidence-rated predictions (1998)Improved boosting algorithms …Boosting the margin: a new explanation for the effectiveness of voting methods (1998)Editorial (2004)EditorialThe Boosting Approach to Machine Learning: An Overview (2003)The Boosting Approach to Mach…Improved Boosting Algorithms Using Confidence-rated Predictions (1999)Improved Boosting Algorithms …The 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)Mining with rarity (2004)Mining with rarityLearning from Imbalanced Data (2009)Learning from Imbalanced DataThe Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Cl… (2015)The Precision-Recall Plot Is …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…RUSBoost: A Hybrid Approach to Alleviating Class Imbalance (2009)RUSBoost: A Hybrid Approach t…CLASSIFICATION OF IMBALANCED DATA: A REVIEW (2009)CLASSIFICATION OF IMBALANCED …An insight into classification with imbalanced data: Empirical results and current trends… (2013)
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What this paper cites, inside the corpus

PaperYearCited
Random Forests2001131,109
Adaptation in Natural and Artificial Systems199235,569
SMOTE: Synthetic Minority Over-sampling Technique200232,402
C4.5: Programs for Machine Learning199223,704
Bagging Predictors199617,191
Bagging predictors199616,468
Induction of Decision Trees198615,020
Experiments with a new boosting algorithm19967,582
On combining classifiers19985,302
Bayesian Network Classifiers19974,754
A study of the behavior of several methods for balancing machine learning training data20044,222
The class imbalance problem: A systematic study120023,353
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…19992,656
Improved boosting algorithms using confidence-rated predictions19982,573
Boosting the margin: a new explanation for the effectiveness of voting methods19982,344
Editorial20042,081
The Boosting Approach to Machine Learning: An Overview20032,023
Improved Boosting Algorithms Using Confidence-rated Predictions19991,966
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
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Cl…20155,051
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
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance20091,890
CLASSIFICATION OF IMBALANCED DATA: A REVIEW20091,713
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
Financial Distress and Bankruptcy PredictionBusiness, Management and Accounting

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports4 author record(s) attached.
  • supports127 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 2026-09-04T03:58:59+00:00.

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