Who Cited It

A systematic study of the class imbalance problem in convolutional neural networks

2018 · Neural Networks · 3,072 citations · 1 from inside this corpus

Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski

No abstract in the source record.

A systematic study of the class imbalance problem in convolutional neural networks (2018)A systematic study of the cla…Scikit-learn: Machine Learning in Python (2012)Scikit-learn: Machine Learnin…SMOTE: Synthetic Minority Over-sampling Technique (2002)SMOTE: Synthetic Minority Ove…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2024)Batch Normalization: Accelera…Understanding the difficulty of training deep feedforward neural networks (2010)Understanding the difficulty …Learning from Imbalanced Data (2009)Learning from Imbalanced DataThe use of the area under the ROC curve in the evaluation of machine learning algorithms (1997)The use of the area under the…Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning (2005)Borderline-SMOTE: A New Over-…The class imbalance problem: A systematic study1 (2002)The class imbalance problem: …Exploratory Undersampling for Class-Imbalance Learning (2008)Exploratory Undersampling for…Learning from class-imbalanced data: Review of methods and applications (2016)Learning from class-imbalance…On the momentum term in gradient descent learning algorithms (1999)On the momentum term in gradi…The foundations of cost-sensitive learning (2001)The foundations of cost-sensi…SMOTEBoost: Improving Prediction of the Minority Class in Boosting (2003)SMOTEBoost: Improving Predict…2011 International Joint Conference on Neural Networks (2010)2011 International Joint Conf…Survey on deep learning with class imbalance (2019)Survey on deep learning with …
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What this paper cites, inside the corpus

PaperYearCited
Scikit-learn: Machine Learning in Python201264,025
SMOTE: Synthetic Minority Over-sampling Technique200232,402
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…202415,663
Understanding the difficulty of training deep feedforward neural networks201012,673
Learning from Imbalanced Data200910,209
The use of the area under the ROC curve in the evaluation of machine learning algorithms19977,328
Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning20054,049
The class imbalance problem: A systematic study120023,353
Exploratory Undersampling for Class-Imbalance Learning20082,504
Learning from class-imbalanced data: Review of methods and applications20162,407
On the momentum term in gradient descent learning algorithms19992,351
The foundations of cost-sensitive learning20011,837
SMOTEBoost: Improving Prediction of the Minority Class in Boosting20031,680
2011 International Joint Conference on Neural Networks20101,471

What cites it, inside the corpus

PaperYearCited
Survey on deep learning with class imbalance20192,971

Links

DOI · Open access copy · OpenAlex record

Topics

Imbalanced Data Classification TechniquesComputer Science
Infrastructure Maintenance and MonitoringEngineering
Electricity Theft Detection TechniquesEngineering

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complete

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

  • supports3 author record(s) attached.
  • supports102 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…