# Constrained Oversampling: An Oversampling Approach to Reduce Noise Generation in Imbalanced Datasets With Class Overlapping

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/constrained-oversampling-an-oversampling-approach-to-reduce-noise-generation-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Changhui Liu,Sun Jin,Donghong Wang,Luo Zichao,Jianbo Yu,Binghai Zhou,Changlin Yang |
| Citations | 36 |
| DOI | 10.1109/access.2020.3018911 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/6514899/09179814.pdf |
| OpenAlex ID | https://openalex.org/W3082051559 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Sun Jin](https://scholariq.org/researchers/sun-jin/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

## Paper topics

- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)
- [Electricity Theft Detection Techniques](https://scholariq.org/topics/electricity-theft-detection-techniques/)
- [Machine Learning and Data Classification](https://scholariq.org/topics/machine-learning-and-data-classification/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.