# Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/interpreting-black-box-models-a-review-on-explainable-artificial-intelligence/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vikas Hassija,Vinay Chamola,Atmesh Mahapatra,Abhinandan Singal,Divyansh Goel,Kaizhu Huang,Simone Scardapane,Indro Spinelli,Mufti Mahmud,Amir Hussain |
| Citations | 1,859 |
| DOI | 10.1007/s12559-023-10179-8 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s12559-023-10179-8.pdf |
| OpenAlex ID | https://openalex.org/W4386142022 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Amir Hussain](https://scholariq.org/researchers/amir-hussain/)

## Paper primary topic

- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)

## Paper topics

- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)
- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-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.