The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines)
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
Classification and regression trees
Praagman, J. (1985) · European Journal of Operational Research · doi:10.1016/0377-2217(85)90321-2 · Cited by 10,053
MissForest—Non-parametric missing value imputation for mixed-type data
Stekhoven, D. J., & Bühlmann, P. (2012) · Bioinformatics · doi:10.1093/bioinformatics/btr597 · Cited by 6,156
Logistic Regression in Rare Events Data
King, G., & Zeng, L. (2001) · Political Analysis · doi:10.1093/oxfordjournals.pan.a004868 · Cited by 4,316
Sillitoe, R. H. (2010) · Economic Geology · doi:10.2113/gsecongeo.105.1.3 · Cited by 3,419
Statistical analysis of spatial point patterns
(1986) · Environmental Software · doi:10.1016/0266-9838(86)90012-2 · Cited by 2,934
Metadata
- Authors
- Carranza, E. J. M., & Laborte, A. G.
- Venue
- Computers & Geosciences
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 74
- Pages
- 60-70
- ISSN
- 0098-3004 (ISSN-L)
- OpenAlex
- W1978053173
- Cited by
- 388
- References
- 48
- FWCI
- 12.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines). https://app.cochat.ai/papers/10.1016/j.cageo.2014.10.004
- The paper
- Carranza, E. J. M., & Laborte, A. G. (2015). Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines). Computers & Geosciences. https://doi.org/10.1016/j.cageo.2014.10.004
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.
