A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data

@inproceedings{Collell2018ASP,
  title={A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data},
  author={Guillem Collell and Drazen Prelec and Kaustubh R. Patil},
  booktitle={Neurocomputing},
  year={2018}
}
Class imbalance presents a major hurdle in the application of classification methods. A commonly taken approach is to learn ensembles of classifiers using rebalanced data. Examples include bootstrap averaging (bagging) combined with either undersampling or oversampling of the minority class examples. However, rebalancing methods entail asymmetric changes to the examples of different classes, which in turn can introduce their own biases. Furthermore, these methods often require specifying the… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 24 references

A review on ensembles for the class imbalance problem: bagging

M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera
boosting-, and hybridbased approaches, IEEE Trans. Syst. Man, Cybern. C: Appl. Rev 42 • 2012
View 7 Excerpts
Highly Influenced

Bagging predictors

Machine Learning • 1996
View 4 Excerpts
Highly Influenced

A review on ensembles for the class imbalance problem : bagging - , boosting - , and hybrid - based approaches

A. Fernandez Galar, E. Barrenechea, H. Bustince, F. Herrera
IEEE Trans . Syst . Man , Cybern . C : Appl . Rev • 2012

C 5 . 0 classification algorithm and application on individual credit evaluation of banks

J. Gong
Syst . Eng . – Theory Pract . • 2012

Multiclass Imbalance Problems: Analysis and Potential Solutions

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) • 2012

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans • 2010

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