# Generative causal explanations of black-box classifiers

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/generative-causal-explanations-of-black-box-classifiers/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Matthew O’Shaughnessy,Gregory Canal,Marissa Connor,Mark A. Davenport,Christopher J. Rozell |
| Citations | 16 |
| DOI | 10.48550/arxiv.2006.13913 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2006.13913 |
| OpenAlex ID | https://openalex.org/W3037185591 |
| Type | preprint |
| Year | 2020 |

## Paper authors

- [Matthew O’Shaughnessy](https://scholariq.org/researchers/matthew-o-shaughnessy/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## 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/)
- [Machine Learning and Data Classification](https://scholariq.org/topics/machine-learning-and-data-classification/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)

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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.