article Open AccessTop 1% cited
A systematic study of the class imbalance problem in convolutional neural networks
Neural Networks · 2018 · Vol. 106 · pp. 249–259
Mateusz Buda✉(Duke University)Atsuto Maki(KTH Royal Institute of Technology)Maciej A. Mazurowski(Duke University)
Imbalanced Data Classification TechniquesInfrastructure Maintenance and MonitoringElectricity Theft Detection TechniquesUndersamplingOversamplingOverfittingArtificial intelligenceMNIST databaseComputer scienceMachine learningContext (archaeology)Metric (unit)Thresholding
MeSH terms
Machine LearningHumansProbabilityROC CurveNeural Networks, Computer
Citations
2,819
FWCI
168.22
field-weighted impact
References
102
Percentile
100%
vs. same field & year
Citations per year
Cited by
Data imbalance in classification: Experimental evaluation
Information Sciences · 2019 · 801 citations
References
2011 International Joint Conference on Neural Networks
IEEE Transactions on Neural Networks · 2010 · 1,471 citations
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
Machine Learning · 1998 · 1,248 citations
On the momentum term in gradient descent learning algorithms
Neural Networks · 1999 · 2,318 citations
Neural Network Classifiers Estimate Bayesian <i>a posteriori</i> Probabilities
Neural Computation · 1991 · 988 citations
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance
Neural Networks · 2007 · 728 citations
Gradient-based learning applied to document recognition
Proceedings of the IEEE · 1998 · 57,014 citations
ImageNet Large Scale Visual Recognition Challenge
International Journal of Computer Vision · 2015 · 39,683 citations
Backpropagation Applied to Handwritten Zip Code Recognition
Neural Computation · 1989 · 11,706 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.