Who Cited It

Learning from class-imbalanced data: Review of methods and applications

2016 · Expert Systems with Applications · 2,407 citations · 2 from inside this corpus

Yijing Li, Jennifer Shang, Mingyun Gu low, Yuanyue Huang

No abstract in the source record.

Learning from class-imbalanced data: Review of methods and applications (2016)Learning from class-imbalance…SMOTE: Synthetic Minority Over-sampling Technique (2002)SMOTE: Synthetic Minority Ove…Greedy function approximation: A gradient boosting machine. (2001)Greedy function approximation…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Extreme learning machine: Theory and applications (2006)Extreme learning machine: The…Learning from Imbalanced Data (2009)Learning from Imbalanced DataAn introduction to variable and feature selection (2003)An introduction to variable a…Experiments with a new boosting algorithm (1996)Experiments with a new boosti…A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba… (2011)A Review on Ensembles for the…Improved boosting algorithms using confidence-rated predictions (1998)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…Improved Boosting Algorithms Using Confidence-rated Predictions (1999)Improved Boosting Algorithms …RUSBoost: A Hybrid Approach to Alleviating Class Imbalance (2009)RUSBoost: A Hybrid Approach t…Introduction to Semi-Supervised Learning (2009)Introduction to Semi-Supervis…CLASSIFICATION OF IMBALANCED DATA: A REVIEW (2009)CLASSIFICATION OF IMBALANCED …Proceedings of the 29th International Conference on Machine Learning (ICML-12) (2012)Proceedings of the 29th Inter…An insight into classification with imbalanced data: Empirical results and current trends… (2013)An insight into classificatio…Cost-sensitive boosting for classification of imbalanced data (2007)Cost-sensitive boosting for c…Mining with rarity (2004)Mining with rarityA systematic study of the class imbalance problem in convolutional neural networks (2018)A systematic study of the cla…SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann… (2018)SMOTE for Learning from Imbal…
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What this paper cites, inside the corpus

PaperYearCited
SMOTE: Synthetic Minority Over-sampling Technique200232,402
Greedy function approximation: A gradient boosting machine.200130,137
Efficient Estimation of Word Representations in Vector Space201318,186
Extreme learning machine: Theory and applications200613,310
Learning from Imbalanced Data200910,209
An introduction to variable and feature selection20037,858
Experiments with a new boosting algorithm19967,582
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…20112,834
Improved boosting algorithms using confidence-rated predictions19982,573
Exploratory Undersampling for Class-Imbalance Learning20082,504
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification…20012,307
Improved Boosting Algorithms Using Confidence-rated Predictions19991,966
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance20091,890
Introduction to Semi-Supervised Learning20091,812
CLASSIFICATION OF IMBALANCED DATA: A REVIEW20091,713
Proceedings of the 29th International Conference on Machine Learning (ICML-12)20121,619
An insight into classification with imbalanced data: Empirical results and current trends…20131,602
Cost-sensitive boosting for classification of imbalanced data20071,438
Mining with rarity20041,396

What cites it, inside the corpus

PaperYearCited
A systematic study of the class imbalance problem in convolutional neural networks20183,072
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann…20182,226

Links

DOI · OpenAlex record

Topics

Imbalanced Data Classification TechniquesComputer Science
Electricity Theft Detection TechniquesEngineering
Financial Distress and Bankruptcy PredictionBusiness, Management and Accounting

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complete

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  • supports4 author record(s) attached.
  • supports428 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.

sha256 a2172c1bbe00c44b…