Who Cited It

The class imbalance problem: A systematic study1

2002 · Intelligent Data Analysis · 3,353 citations · 15 from inside this corpus

Nathalie Japkowicz, Shaju Stephen low

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.

The class imbalance problem: A systematic study1 (2002)The class imbalance problem: …The foundations of cost-sensitive learning (2001)The foundations of cost-sensi…UCI Repository of Machine Learning Databases (1994)UCI Repository of Machine Lea…Learning 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 …A study of the behavior of several methods for balancing machine learning training data (2004)A study of the behavior of se…Ensemble learning: A survey (2018)Ensemble learning: A surveyA systematic study of the class imbalance problem in convolutional neural networks (2018)A systematic study of the cla…A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba… (2011)A Review on Ensembles for the…Exploratory Undersampling for Class-Imbalance Learning (2008)Exploratory Undersampling for…Learning from imbalanced data: open challenges and future directions (2016)Learning from imbalanced data…Editorial (2004)EditorialThe Balanced Accuracy and Its Posterior Distribution (2010)The Balanced Accuracy and Its…CLASSIFICATION OF IMBALANCED DATA: A REVIEW (2009)CLASSIFICATION OF IMBALANCED …An insight into classification with imbalanced data: Empirical results and current trends… (2013)An insight into classificatio…Machine learning: a review of classification and combining techniques (2006)Machine learning: a review of…Cost-sensitive boosting for classification of imbalanced data (2007)Cost-sensitive boosting for c…Mining with rarity (2004)Mining with rarity
17 of 17 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
The foundations of cost-sensitive learning20011,837
UCI Repository of Machine Learning Databases19941,812

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
A study of the behavior of several methods for balancing machine learning training data20044,222
Ensemble learning: A survey20183,088
A systematic study of the class imbalance problem in convolutional neural networks20183,072
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…20112,834
Exploratory Undersampling for Class-Imbalance Learning20082,504
Learning from imbalanced data: open challenges and future directions20162,489
Editorial20042,081
The Balanced Accuracy and Its Posterior Distribution20101,728
CLASSIFICATION OF IMBALANCED DATA: A REVIEW20091,713
An insight into classification with imbalanced data: Empirical results and current trends…20131,602
Machine learning: a review of classification and combining techniques20061,562
Cost-sensitive boosting for classification of imbalanced data20071,438
Mining with rarity20041,396

Links

DOI · OpenAlex record

Topics

Imbalanced Data Classification TechniquesComputer Science
Machine Learning and Data ClassificationComputer Science
Machine Learning and AlgorithmsComputer Science

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports18 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 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…