The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods
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Citations
Cites
Greedy function approximation: A gradient boosting machine
Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
A review of methods for the assessment of prediction errors in conservation presence/absence models
FIELDING, A. H., & BELL, J. F. (1997) · Environmental Conservation · doi:10.1017/s0376892997000088 · Cited by 6,956
Cited by
A working guide to boosted regression trees
Elith, J., Leathwick, J. R., & Hastie, T. (2008) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2008.01390.x · Cited by 6,484
Austin, M. (2007) · Ecological Modelling · doi:10.1016/j.ecolmodel.2006.07.005 · Cited by 1,504
Freeman, E. A., & Moisen, G. G. (2008) · Ecological Modelling · doi:10.1016/j.ecolmodel.2008.05.015 · Cited by 578
Self-citationPresenceAbsence : An R Package for Presence Absence Analysis
Freeman, E. A., & Moisen, G. (2008) · Journal of Statistical Software · doi:10.18637/jss.v023.i11 · Cited by 461
Self-citationLeathwick, J. R., Elith, J., & Hastie, T. (2006) · Ecological Modelling · doi:10.1016/j.ecolmodel.2006.05.022 · Cited by 451
Machine learning technology in biodiesel research: A review
Aghbashlo, M., Peng, W., Tabatabaei, M., Kalogirou, S. A., Soltanian, S., Hosseinzadeh-Bandbafha, H., Mahian, O., & Lam, S. S. (2021) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2021.100904 · Cited by 426
Aertsen, W., Kint, V., van Orshoven, J., Özkan, K., & Muys, B. (2010) · Ecological Modelling · doi:10.1016/j.ecolmodel.2010.01.007 · Cited by 405
Environmental controls on the distribution of wildfire at multiple spatial scales
Parisien, M.-A., & Moritz, M. A. (2009) · Ecological Monographs · doi:10.1890/07-1289.1 · Cited by 383
How can statistical models help to determine driving factors of landslides?
Vorpahl, P., Elsenbeer, H., Märker, M., & Schröder, B. (2012) · Ecological Modelling · doi:10.1016/j.ecolmodel.2011.12.007 · Cited by 320
Naghibi, S. A., & Pourghasemi, H. R. (2015) · Water Resources Management · doi:10.1007/s11269-015-1114-8 · Cited by 280
Predicting Distributions of Invasive Species
Elith, J. (2017) · Invasive Species · doi:10.1017/9781139019606.006 · Cited by 106
Metadata
- Authors
- Moisen, G. G., Freeman, E. A., Blackard, J. A., Frescino, T. S., Zimmermann, N. E., & Edwards, T. C.
- Venue
- Ecological Modelling
- Publisher
- Elsevier BV
- Published
- 2006-11
- Volume
- 199
- Issue
- 2
- Pages
- 176-187
- ISSN
- 0304-3800 (ISSN-L)
- OpenAlex
- W2139525108
- Cited by
- 272
- References
- 5
- FWCI
- 10.78
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
