Who Cited It

Learning from Imbalanced Data

2009 · IEEE Transactions on Knowledge and Data Engineering · 10,209 citations · 12 from inside this corpus

Haibo He, Edwardo A. Garcia

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.

Learning from Imbalanced Data (2009)Learning from Imbalanced DataThe Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…SMOTE: Synthetic Minority Over-sampling Technique (2002)SMOTE: Synthetic Minority Ove…Neural Networks: A Comprehensive Foundation (1998)Neural Networks: A Comprehens…An introduction to ROC analysis (2005)An introduction to ROC analys…Classification and Regression Trees. (1986)Classification and Regression…Induction of Decision Trees (1986)Induction of Decision TreesInduction of decision trees (1986)Induction of decision treesExperiments with a new boosting algorithm (1996)Experiments with a new boosti…The relationship between Precision-Recall and ROC curves (2006)The relationship between Prec…Estimating the Support of a High-Dimensional Distribution (2001)Estimating the Support of a H…Combining labeled and unlabeled data with co-training (1998)Combining labeled and unlabel…ADASYN: Adaptive synthetic sampling approach for imbalanced learning (2008)ADASYN: Adaptive synthetic sa…A study of the behavior of several methods for balancing machine learning training data (2004)A study of the behavior of se…Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning (2005)Borderline-SMOTE: A New Over-…Semi-Supervised Learning Literature Survey (2005)Semi-Supervised Learning Lite…The class imbalance problem: A systematic study1 (2002)The class imbalance problem: …Exploratory Undersampling for Class-Imbalance Learning (2008)Exploratory Undersampling for…A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification… (2001)A Simple Generalisation of th…Editorial (2004)EditorialThe foundations of cost-sensitive learning (2001)The foundations of cost-sensi…SMOTEBoost: Improving Prediction of the Minority Class in Boosting (2003)Cost-sensitive boosting for classification of imbalanced data (2007)Mining with rarity (2004)Mining with rarityThe Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Cl… (2015)The Precision-Recall Plot Is …A systematic study of the class imbalance problem in convolutional neural networks (2018)A systematic study of the cla…State-of-the-art in artificial neural network applications: A survey (2018)State-of-the-art in artificia…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…Generalizing from a Few Examples (2020)Generalizing from a Few Examp…Learning from imbalanced data: open challenges and future directions (2016)Learning from imbalanced data…Learning from class-imbalanced data: Review of methods and applications (2016)Learning from class-imbalance…Classification assessment methods (2018)Classification assessment met…SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann… (2018)SMOTE for Learning from Imbal…A review of novelty detection (2014)A review of novelty detectionAn insight into classification with imbalanced data: Empirical results and current trends… (2013)An insight into classificatio…
35 of 35 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 Nature of Statistical Learning Theory199539,409
SMOTE: Synthetic Minority Over-sampling Technique200232,402
Neural Networks: A Comprehensive Foundation199829,840
An introduction to ROC analysis200521,837
Classification and Regression Trees.198621,044
Induction of Decision Trees198615,020
Induction of decision trees198612,427
Experiments with a new boosting algorithm19967,582
The relationship between Precision-Recall and ROC curves20066,427
Estimating the Support of a High-Dimensional Distribution20016,097
Combining labeled and unlabeled data with co-training19985,631
ADASYN: Adaptive synthetic sampling approach for imbalanced learning20084,556
A study of the behavior of several methods for balancing machine learning training data20044,222
Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning20054,049
Semi-Supervised Learning Literature Survey20053,879
The class imbalance problem: A systematic study120023,353
Exploratory Undersampling for Class-Imbalance Learning20082,504
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification…20012,307
Editorial20042,081
The foundations of cost-sensitive learning20011,837
SMOTEBoost: Improving Prediction of the Minority Class in Boosting20031,680
Cost-sensitive boosting for classification of imbalanced data20071,438
Mining with rarity20041,396

What cites it, inside the corpus

PaperYearCited
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Cl…20155,051
A systematic study of the class imbalance problem in convolutional neural networks20183,072
State-of-the-art in artificial neural network applications: A survey20183,071
Survey on deep learning with class imbalance20192,971
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…20112,834
Generalizing from a Few Examples20202,761
Learning from imbalanced data: open challenges and future directions20162,489
Learning from class-imbalanced data: Review of methods and applications20162,407
Classification assessment methods20182,377
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann…20182,226
A review of novelty detection20141,647
An insight into classification with imbalanced data: Empirical results and current trends…20131,602

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Topics

Imbalanced Data Classification TechniquesComputer Science
Electricity Theft Detection TechniquesEngineering
Anomaly Detection Techniques and ApplicationsComputer Science

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Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

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