The DOI matches its Crossref record; 43 of the 47 references it cites were found in a registry or an index.
Variable selection using random forests
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Cites
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From local explanations to global understanding with explainable AI for trees
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A review of feature selection methods with applications
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Metadata
- Authors
- Genuer, R., Poggi, J.-M., & Tuleau-Malot, C.
- Affiliations
- Université Paris-Sud (FR)
- Laboratoire Jean-Alexandre Dieudonné (FR)
- Corresponding author
- Poggi, Jean-Michel
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 31
- Issue
- 14
- Pages
- 2225-2236
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2155261478
- Cited by
- 2,619
- References
- 47
- Citations by year
- 2026: 166 · 2025: 249 · 2024: 248 · 2023: 235 · 2022: 255 · 2021: 280 · 2020: 288 · 2019: 210 · 2018: 167 · 2017: 152 · 2016: 128 · 2015: 94 · 2014: 67 · 2013: 36 · 2012: 24
- FWCI
- 21.28
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- Locations
- Pattern Recognition Letters (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Keywords
- feature selection, random forest, feature importance, feature ranking, stepwise selection, classification
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