# Imbalcbl: addressing deep learning challenges with small and imbalanced datasets

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/imbalcbl-addressing-deep-learning-challenges-with-small-and-imbalanced-datasets/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Saqib Ul Sabha,Assif Assad,Sadaf Shafi,Nusrat Mohi Ud Din,Rayees Ahmad Dar,Muzafar Rasool Bhat |
| Citations | 7 |
| DOI | 10.1007/s13198-024-02346-3 |
| Fields | Computer Science,Health Professions |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4396546052 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Muzafar Rasool Bhat](https://scholariq.org/researchers/muzafar-rasool-bhat/)

## Paper journal

- [International Journal of Systems Assurance Engineering and Management](https://scholariq.org/journals/international-journal-of-systems-assurance-engineering-and-management/)

## 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/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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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.