Wrapper-based computation and evaluation of sampling methods for imbalanced datasets

By Nitesh V. Chawla, L. Hall, Ajay Joshi. 2005

37 citations recorded by the source corpus.

Subfields: Accounting, Artificial Intelligence, Electrical and Electronic Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Toon Calders
2. Indrė Žliobaitė
3. Faisal Kamiran

In Artificial Intelligence

1. Indrė Žliobaitė
2. Faisal Kamiran
3. Toon Calders
4. Xintao Wu
5. Lu Zhang
6. Yongkai Wu
7. Sara Hajian
8. Eirini Ntoutsi

In Electrical and Electronic Engineering

1. Toon Calders
2. Indrė Žliobaitė
3. Faisal Kamiran

Citations in the corpus

• Data preprocessing techniques for classification without discrimination (2011, methodology): “[8] also utilize a wrapper [16] approach to determine the percentage of minority class examples to be added to the training set and the percentage to under-sample the majority class examples.”
• Quantifying explainable discrimination and removing illegal discrimination in automated decision making (2013, methodology): “[9] also utilize a wrapper [27] approach to determine the percentage of minority class examples to be added to the training set and the percentage to under-sample the majority class examples.”
• Discrimination-aware classification (2011, methodology): “[24] also utilize a wrapper approach to determine the percentage of minority class examples to be added to the training set and the percentage to under-sample the majority class examples [52].”