# From local explanations to global understanding with explainable AI for trees

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/from-local-explanations-to-global-understanding-with-explainable-ai-for-trees/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Scott Lundberg,Gabriel Erion,Hugh Chen,Alex J. DeGrave,Jordan M. Prutkin,Bala G. Nair,Ronit Katz,Jonathan Himmelfarb,Nisha Bansal,Su‐In Lee |
| Citations | 9,466 |
| DOI | 10.1038/s42256-019-0138-9 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/7326367 |
| OpenAlex ID | https://openalex.org/W2999615587 |
| PMID | 32607472 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Jonathan Himmelfarb](https://scholariq.org/researchers/jonathan-himmelfarb/)

## 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/)
- [Bayesian Modeling and Causal Inference](https://scholariq.org/topics/bayesian-modeling-and-causal-inference/)

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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.