# Boosted decision trees as an alternative to artificial neural networks for particle identification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/boosted-decision-trees-as-an-alternative-to-artificial-neural-networks-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Byron P. Roe,Hai-Jun Yang,Ji Zhu,Yong Liu,I. Stancu,G. McGregor |
| Citations | 537 |
| DOI | 10.1016/j.nima.2004.12.018 |
| Fields | Computer Science,Physics and Astronomy |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/physics/0408124 |
| OpenAlex ID | https://openalex.org/W2165960883 |
| Type | article |
| Year | 2005 |

## Paper authors

- [G. McGregor](https://scholariq.org/researchers/g-mcgregor/)

## Paper primary topic

- [Neutrino Physics Research](https://scholariq.org/topics/neutrino-physics-research/)

## Paper topics

- [Neutrino Physics Research](https://scholariq.org/topics/neutrino-physics-research/)
- [Algorithms and Data Compression](https://scholariq.org/topics/algorithms-and-data-compression/)
- [Advanced Data Compression Techniques](https://scholariq.org/topics/advanced-data-compression-techniques/)

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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.