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1 A Fuzzy Membership-Based Oversampling Method with Minority Class

https://doi.org/10.2139/ssrn.5546671
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Overlap-Based Undersampling for Improving Imbalanced Data Classification
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Learning from Imbalanced Data Sets
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Framework for extreme imbalance classification: SWIM—sampling with the majority class
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An instance level analysis of data complexity
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Adaptive semi-unsupervised weighted oversampling (A-SUWO) for imbalanced datasets
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What makes multi-class imbalanced problems difficult? An experimental study
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Adaptive ensemble of classifiers with regularization for imbalanced data classification
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A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research
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Noise Reduction A Priori Synthetic Over-Sampling for class imbalanced data sets
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Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
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Neighbourhood-based undersampling approach for handling imbalanced and overlapped data
inferredcites →https://doi.org/10.1016/j.ins.2021.03.042openalex-snapshot
The improved AdaBoost algorithms for imbalanced data classification
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Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
inferredcites →https://doi.org/10.1016/j.knosys.2020.106223openalex-snapshot
Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise
inferredcites →https://doi.org/10.1016/j.neucom.2014.10.007openalex-snapshot
Improving classification rate constrained to imbalanced data between overlapped and non-overlapped regions by hybrid algorithms
inferredcites →https://doi.org/10.1016/j.patcog.2017.07.024openalex-snapshot
Synthetic minority oversampling technique for multiclass imbalance problems
inferredcites →https://doi.org/10.1016/j.patcog.2020.107442openalex-snapshot
Enhanced automatic twin support vector machine for imbalanced data classification
inferredcites →https://doi.org/10.1023/a:1010920819831openalex-snapshot
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
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On cluster validity for the fuzzy c-means model
inferredcites →https://doi.org/10.1109/tetci.2024.3407784openalex-snapshot
CCO: A Cluster Core-Based Oversampling Technique for Improved Class-Imbalanced Learning
inferredcites →https://doi.org/10.1109/tfuzz.2019.2898371openalex-snapshot
Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data
inferredcites →https://doi.org/10.1109/tit.2009.2016060openalex-snapshot
Divergence Estimation for Multidimensional Densities Via $k$-Nearest-Neighbor Distances
inferredcites →https://doi.org/10.1109/tkde.2012.232openalex-snapshot
MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning
inferredcites →https://doi.org/10.1109/tkde.2015.2458858openalex-snapshot
To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques
inferredcites →https://doi.org/10.1109/tnnls.2018.2855446openalex-snapshot
Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine
inferredcites →https://doi.org/10.1109/tnnls.2019.2913673openalex-snapshot
Radial-Based Oversampling for Multiclass Imbalanced Data Classification
inferredcites →https://doi.org/10.1142/s0129065720500434openalex-snapshot
Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson’s Disease
inferredcites →https://doi.org/10.1515/amcs-2017-0050openalex-snapshot
CCR: A combined cleaning and resampling algorithm for imbalanced data classification
inferredcites →https://doi.org/10.1515/fcds-2017-0007openalex-snapshot
Difficulty Factors and Preprocessing in Imbalanced Data Sets: An Experimental Study on Artificial Data
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.2478/amcs-2019-0057openalex-snapshot
Using Information on Class Interrelations to Improve Classification of Multiclass Imbalanced Data: A New Resampling Algorithm
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