Who Cited It

SMOTEBoost: Improving Prediction of the Minority Class in Boosting

2003 · Lecture notes in computer science · 1,680 citations · 14 from inside this corpus

Nitesh V. Chawla, Aleksandar Lazarević low, Lawrence Hall, Kevin W. Bowyer

No abstract in the source record.

SMOTEBoost: Improving Prediction of the Minority Class in Boosting (2003)SMOTEBoost: Improving Predict…SMOTE: Synthetic Minority Over-sampling Technique (2002)SMOTE: Synthetic Minority Ove…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…UCI Repository of machine learning databases (1998)UCI Repository of machine lea…Experiments with a new boosting algorithm (1996)Experiments with a new boosti…Fast Effective Rule Induction (1995)Fast Effective Rule InductionAdvances in neural information processing systems 11 (1999)Advances in neural informatio…Learning from Imbalanced Data (2009)Learning from Imbalanced DataADASYN: Adaptive synthetic sampling approach for imbalanced learning (2008)ADASYN: Adaptive synthetic sa…Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning (2005)A 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…Exploratory Undersampling for Class-Imbalance Learning (2008)Exploratory Undersampling for…SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann… (2018)SMOTE for Learning from Imbal…Editorial (2004)EditorialRUSBoost: 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)An insight into classificatio…Cost-sensitive boosting for classification of imbalanced data (2007)Cost-sensitive boosting for c…Mining with rarity (2004)Mining with rarity
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What this paper cites, inside the corpus

PaperYearCited
SMOTE: Synthetic Minority Over-sampling Technique200232,402
C4.5: Programs for Machine Learning199223,704
UCI Repository of machine learning databases199810,546
Experiments with a new boosting algorithm19967,582
Fast Effective Rule Induction19953,810
Advances in neural information processing systems 1119993,187

What cites it, inside the corpus

PaperYearCited
Learning from Imbalanced Data200910,209
ADASYN: Adaptive synthetic sampling approach for imbalanced learning20084,556
Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning20054,049
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
Exploratory Undersampling for Class-Imbalance Learning20082,504
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann…20182,226
Editorial20042,081
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
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 AlgorithmsComputer Science
Machine Learning and Data ClassificationComputer Science

Is this record sound?

complete

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

  • supports4 author record(s) attached.
  • supports29 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

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