The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
A Review on Random Forest: An Ensemble Classifier
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
A decision-theoretic generalization of on-line learning and an application to boosting
Freund, Y., & Schapire, R. E. (1997) · Journal of Computer and System Sciences · doi:10.1006/jcss.1997.1504 · Cited by 20,466
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
(1996) · Cited by 4,738
Random forest classifier for remote sensing classification
Pal, M. (2005) · International Journal of Remote Sensing · doi:10.1080/01431160412331269698 · Cited by 3,283
Dietterich, T. G. (2000) · Machine Learning · doi:10.1023/a:1007607513941 · Cited by 2,941
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
Kuncheva, L. I., & Whitaker, C. J. (2003) · Machine Learning · doi:10.1023/a:1022859003006 · Cited by 2,335
Application of majority voting to pattern recognition: an analysis of its behavior and performance
Lam, L., & Suen, S. Y. (1997) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/3468.618255 · Cited by 863
Multiple classifiers applied to multisource remote sensing data
Briem, G. J., Benediktsson, J. A., & Sveinsson, J. R. (2002) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2002.802476 · Cited by 303
A random forest classifier for lymph diseases
Azar, A. T., Elshazly, H. I., Hassanien, A. E., & Elkorany, A. M. (2014) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2013.11.004 · Cited by 223
Cited by
Mafarja, M., Thaher, T., Al-Betar, M. A., Too, J., Awadallah, M. A., Abu Doush, I., & Turabieh, H. (2023) · Applied Intelligence · doi:10.1007/s10489-022-04427-x · Cited by 91
Metadata
- Authors
- Parmar, A., Katariya, R., & Patel, V.
- Venue
- Lecture Notes on Data Engineering and Communications Technologies
- Publisher
- Springer International Publishing
- Published
- 2018-12-21
- Pages
- 758-763
- ISSN
- 2367-4512 (ISSN-L)
- 2367-4520
- OpenAlex
- W2906484232
- Cited by
- 573
- References
- 11
- FWCI
- 1.35
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Parmar, A., Katariya, R., & Patel, V. (2019). A Review on Random Forest: An Ensemble Classifier. Lecture Notes on Data Engineering and Communications Technologies. https://doi.org/10.1007/978-3-030-03146-6_86
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.