Random forest (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Random forest" in English language version.

refsWebsite

Global rank English rank

25doi.org

2^nd place

14semanticscholar.org

11^th place

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8psu.edu

207^th place

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7nih.gov

4^th place

5web.archive.org

1^st place

5arxiv.org

69^th place

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4harvard.edu

18^th place

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3bell-labs.com

5,739^th place

4,857^th place

2worldcat.org

5^th place

1stanford.edu

179^th place

183^rd place

1ams.org

451^st place

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1r-project.org

7,871^st place

5,225^th place

1justia.com

696^th place

428^th place

1jhu.edu

699^th place

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1wikidata.org

43^rd place

161^st place

1usc.edu

1,077^th place

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1ulg.ac.be

7,875^th place

8,199^th place

1researchgate.net

120^th place

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1uni-muenchen.de

3,337^th place

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1explained.ai

low place

1books.google.com

3^rd place

1taylorfrancis.com

3,142^nd place

2,072^nd place

1scikit-learn.org

low place

1jstor.org

26^th place

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1ascelibrary.org

low place

1elsevier.com

610^th place

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1berkeley.edu

580^th place

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1sciencedirect.com

149^th place

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1mlr.press

low place

1utoronto.ca

1,601^st place

1,117^th place

ams.org (Global: 451^st place; English: 277^th place)

mathscinet.ams.org

Kleinberg E (1996). "An Overtraining-Resistant Stochastic Modeling Method for Pattern Recognition". Annals of Statistics. 24 (6): 2319–2349. doi:10.1214/aos/1032181157. MR 1425956.

arxiv.org (Global: 69^th place; English: 59^th place)

Painsky A, Rosset S (2017). "Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance". IEEE Transactions on Pattern Analysis and Machine Intelligence. 39 (11): 2142–2153. arXiv:1512.03444. Bibcode:2017ITPAM..39.2142P. doi:10.1109/tpami.2016.2636831. PMID 28114007. S2CID 5381516.
Scornet, Erwan (2015). "Random forests and kernel methods". arXiv:1502.03836 [math.ST].
Davies, Alex; Ghahramani, Zoubin (2014). "The Random Forest Kernel and other kernels for big data from random partitions". arXiv:1402.4293 [stat.ML].
Arlot S, Genuer R (2014). "Analysis of purely random forests bias". arXiv:1407.3939 [math.ST].
Vidal, Thibaut; Schiffer, Maximilian (2020). "Born-Again Tree Ensembles". International Conference on Machine Learning. 119. PMLR: 9743–9753. arXiv:2003.11132.

ascelibrary.org (Global: low place; English: low place)

Piryonesi, S. Madeh; El-Diraby, Tamer E. (2021-02-01). "Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling". Journal of Infrastructure Systems. 27 (2): 04021005. doi:10.1061/(ASCE)IS.1943-555X.0000602. ISSN 1076-0342. S2CID 233550030.

bell-labs.com (Global: 5,739^th place; English: 4,857^th place)

ect.bell-labs.com

Ho, Tin Kam (1995). Random Decision Forests (PDF). Proceedings of the 3rd International Conference on Document Analysis and Recognition, Montreal, QC, 14–16 August 1995. pp. 278–282. Archived from the original (PDF) on 17 April 2016. Retrieved 5 June 2016.
Ho TK (1998). "The Random Subspace Method for Constructing Decision Forests" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 20 (8): 832–844. Bibcode:1998ITPAM..20..832T. doi:10.1109/34.709601. S2CID 206420153.
Ho, Tin Kam (2002). "A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors" (PDF). Pattern Analysis and Applications. 5 (2): 102–112. doi:10.1007/s100440200009. S2CID 7415435. Archived from the original (PDF) on 2016-04-17. Retrieved 2015-11-13.

berkeley.edu (Global: 580^th place; English: 462^nd place)

statistics.berkeley.edu

Breiman, Leo (2000). "Some infinity theory for predictor ensembles". Technical Report 579, Statistics Dept. UCB. {{cite journal}}: Cite journal requires |journal= (help)

books.google.com (Global: 3^rd place; English: 3^rd place)

Ortiz-Posadas, Martha Refugio (2020-02-29). Pattern Recognition Techniques Applied to Biomedical Problems. Springer Nature. ISBN 978-3-030-38021-2.

doi.org (Global: 2^nd place; English: 2^nd place)

Ho TK (1998). "The Random Subspace Method for Constructing Decision Forests" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 20 (8): 832–844. Bibcode:1998ITPAM..20..832T. doi:10.1109/34.709601. S2CID 206420153.
Kleinberg E (1990). "Stochastic Discrimination" (PDF). Annals of Mathematics and Artificial Intelligence. 1 (1–4): 207–239. CiteSeerX 10.1.1.25.6750. doi:10.1007/BF01531079. S2CID 206795835. Archived from the original (PDF) on 2018-01-18.
Kleinberg E (1996). "An Overtraining-Resistant Stochastic Modeling Method for Pattern Recognition". Annals of Statistics. 24 (6): 2319–2349. doi:10.1214/aos/1032181157. MR 1425956.
Kleinberg E (2000). "On the Algorithmic Implementation of Stochastic Discrimination" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 22 (5): 473–490. Bibcode:2000ITPAM..22..473K. CiteSeerX 10.1.1.33.4131. doi:10.1109/34.857004. S2CID 3563126. Archived from the original (PDF) on 2018-01-18.
Breiman L (2001). "Random Forests". Machine Learning. 45 (1): 5–32. Bibcode:2001MachL..45....5B. doi:10.1023/A:1010933404324.
Amit Y, Geman D (1997). "Shape quantization and recognition with randomized trees" (PDF). Neural Computation. 9 (7): 1545–1588. CiteSeerX 10.1.1.57.6069. doi:10.1162/neco.1997.9.7.1545. S2CID 12470146. Archived from the original (PDF) on 2018-02-05. Retrieved 2008-04-01.
Dietterich, Thomas (2000). "An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization". Machine Learning. 40 (2): 139–157. doi:10.1023/A:1007607513941.
Helen Pearson; Heidi Ledford; Matthew Hutson; Richard Van Noorden (15 April 2025). "Exclusive: the most-cited papers of the twenty-first century". Nature. 640 (8059): 588–592. doi:10.1038/D41586-025-01125-9. ISSN 1476-4687. Wikidata Q135104889.
Ho, Tin Kam (2002). "A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors" (PDF). Pattern Analysis and Applications. 5 (2): 102–112. doi:10.1007/s100440200009. S2CID 7415435. Archived from the original (PDF) on 2016-04-17. Retrieved 2015-11-13.
Geurts P, Ernst D, Wehenkel L (2006). "Extremely randomized trees" (PDF). Machine Learning. 63: 3–42. doi:10.1007/s10994-006-6226-1.
Zhu R, Zeng D, Kosorok MR (2015). "Reinforcement Learning Trees". Journal of the American Statistical Association. 110 (512): 1770–1784. doi:10.1080/01621459.2015.1036994. PMC 4760114. PMID 26903687.
Altmann A, Toloşi L, Sander O, Lengauer T (May 2010). "Permutation importance: a corrected feature importance measure". Bioinformatics. 26 (10): 1340–7. doi:10.1093/bioinformatics/btq134. PMID 20385727.
Piryonesi S. Madeh; El-Diraby Tamer E. (2020-06-01). "Role of Data Analytics in Infrastructure Asset Management: Overcoming Data Size and Quality Problems". Journal of Transportation Engineering, Part B: Pavements. 146 (2): 04020022. doi:10.1061/JPEODX.0000175. S2CID 216485629.
Strobl C, Boulesteix AL, Augustin T (2007). "Unbiased split selection for classification trees based on the Gini index" (PDF). Computational Statistics & Data Analysis. 52: 483–501. CiteSeerX 10.1.1.525.3178. doi:10.1016/j.csda.2006.12.030.
Painsky A, Rosset S (2017). "Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance". IEEE Transactions on Pattern Analysis and Machine Intelligence. 39 (11): 2142–2153. arXiv:1512.03444. Bibcode:2017ITPAM..39.2142P. doi:10.1109/tpami.2016.2636831. PMID 28114007. S2CID 5381516.
Tolosi L, Lengauer T (July 2011). "Classification with correlated features: unreliability of feature ranking and solutions". Bioinformatics. 27 (14): 1986–94. doi:10.1093/bioinformatics/btr300. PMID 21576180.
Breiman, Leo (2017-10-25). Classification and Regression Trees. New York: Routledge. doi:10.1201/9781315139470. ISBN 978-1-315-13947-0.
Shi, T.; Horvath, S. (2006). "Unsupervised Learning with Random Forest Predictors". Journal of Computational and Graphical Statistics. 15 (1): 118–138. CiteSeerX 10.1.1.698.2365. doi:10.1198/106186006X94072. JSTOR 27594168. S2CID 245216.
Shi T, Seligson D, Belldegrun AS, Palotie A, Horvath S (April 2005). "Tumor classification by tissue microarray profiling: random forest clustering applied to renal cell carcinoma". Modern Pathology. 18 (4): 547–57. doi:10.1038/modpathol.3800322. PMID 15529185.
Piryonesi, S. Madeh; El-Diraby, Tamer E. (2021-02-01). "Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling". Journal of Infrastructure Systems. 27 (2): 04021005. doi:10.1061/(ASCE)IS.1943-555X.0000602. ISSN 1076-0342. S2CID 233550030.
Prinzie, A.; Van den Poel, D. (2008). "Random Forests for multiclass classification: Random MultiNomial Logit". Expert Systems with Applications. 34 (3): 1721–1732. doi:10.1016/j.eswa.2007.01.029.
Prinzie, Anita (2007). "Random Multiclass Classification: Generalizing Random Forests to Random MNL and Random NB". In Roland Wagner; Norman Revell; Günther Pernul (eds.). Database and Expert Systems Applications: 18th International Conference, DEXA 2007, Regensburg, Germany, September 3-7, 2007, Proceedings. Lecture Notes in Computer Science. Vol. 4653. pp. 349–358. doi:10.1007/978-3-540-74469-6_35. ISBN 978-3-540-74467-2.
Smith, Paul F.; Ganesh, Siva; Liu, Ping (2013-10-01). "A comparison of random forest regression and multiple linear regression for prediction in neuroscience". Journal of Neuroscience Methods. 220 (1): 85–91. doi:10.1016/j.jneumeth.2013.08.024. PMID 24012917. S2CID 13195700.
Lin, Yi; Jeon, Yongho (2006). "Random forests and adaptive nearest neighbors". Journal of the American Statistical Association. 101 (474): 578–590. CiteSeerX 10.1.1.153.9168. doi:10.1198/016214505000001230. S2CID 2469856.
Sagi, Omer; Rokach, Lior (2020). "Explainable decision forest: Transforming a decision forest into an interpretable tree". Information Fusion. 61: 124–138. doi:10.1016/j.inffus.2020.03.013. S2CID 216444882.

elsevier.com (Global: 610^th place; English: 704^th place)

linkinghub.elsevier.com

Smith, Paul F.; Ganesh, Siva; Liu, Ping (2013-10-01). "A comparison of random forest regression and multiple linear regression for prediction in neuroscience". Journal of Neuroscience Methods. 220 (1): 85–91. doi:10.1016/j.jneumeth.2013.08.024. PMID 24012917. S2CID 13195700.

explained.ai (Global: low place; English: low place)

"Beware Default Random Forest Importances". explained.ai. Retrieved 2023-10-25.

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Ho TK (1998). "The Random Subspace Method for Constructing Decision Forests" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 20 (8): 832–844. Bibcode:1998ITPAM..20..832T. doi:10.1109/34.709601. S2CID 206420153.
Kleinberg E (2000). "On the Algorithmic Implementation of Stochastic Discrimination" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 22 (5): 473–490. Bibcode:2000ITPAM..22..473K. CiteSeerX 10.1.1.33.4131. doi:10.1109/34.857004. S2CID 3563126. Archived from the original (PDF) on 2018-01-18.
Breiman L (2001). "Random Forests". Machine Learning. 45 (1): 5–32. Bibcode:2001MachL..45....5B. doi:10.1023/A:1010933404324.
Painsky A, Rosset S (2017). "Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance". IEEE Transactions on Pattern Analysis and Machine Intelligence. 39 (11): 2142–2153. arXiv:1512.03444. Bibcode:2017ITPAM..39.2142P. doi:10.1109/tpami.2016.2636831. PMID 28114007. S2CID 5381516.

jhu.edu (Global: 699^th place; English: 479^th place)

cis.jhu.edu

Amit Y, Geman D (1997). "Shape quantization and recognition with randomized trees" (PDF). Neural Computation. 9 (7): 1545–1588. CiteSeerX 10.1.1.57.6069. doi:10.1162/neco.1997.9.7.1545. S2CID 12470146. Archived from the original (PDF) on 2018-02-05. Retrieved 2008-04-01.

jstor.org (Global: 26^th place; English: 20^th place)

Shi, T.; Horvath, S. (2006). "Unsupervised Learning with Random Forest Predictors". Journal of Computational and Graphical Statistics. 15 (1): 118–138. CiteSeerX 10.1.1.698.2365. doi:10.1198/106186006X94072. JSTOR 27594168. S2CID 245216.

justia.com (Global: 696^th place; English: 428^th place)

trademarks.justia.com

"RANDOM FORESTS Trademark of Health Care Productivity, Inc. - Registration Number 3185828 - Serial Number 78642027 :: Justia Trademarks".

mlr.press (Global: low place; English: low place)

proceedings.mlr.press

Vidal, Thibaut; Schiffer, Maximilian (2020). "Born-Again Tree Ensembles". International Conference on Machine Learning. 119. PMLR: 9743–9753. arXiv:2003.11132.

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

Zhu R, Zeng D, Kosorok MR (2015). "Reinforcement Learning Trees". Journal of the American Statistical Association. 110 (512): 1770–1784. doi:10.1080/01621459.2015.1036994. PMC 4760114. PMID 26903687.
Altmann A, Toloşi L, Sander O, Lengauer T (May 2010). "Permutation importance: a corrected feature importance measure". Bioinformatics. 26 (10): 1340–7. doi:10.1093/bioinformatics/btq134. PMID 20385727.
Painsky A, Rosset S (2017). "Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance". IEEE Transactions on Pattern Analysis and Machine Intelligence. 39 (11): 2142–2153. arXiv:1512.03444. Bibcode:2017ITPAM..39.2142P. doi:10.1109/tpami.2016.2636831. PMID 28114007. S2CID 5381516.
Tolosi L, Lengauer T (July 2011). "Classification with correlated features: unreliability of feature ranking and solutions". Bioinformatics. 27 (14): 1986–94. doi:10.1093/bioinformatics/btr300. PMID 21576180.
Shi T, Seligson D, Belldegrun AS, Palotie A, Horvath S (April 2005). "Tumor classification by tissue microarray profiling: random forest clustering applied to renal cell carcinoma". Modern Pathology. 18 (4): 547–57. doi:10.1038/modpathol.3800322. PMID 15529185.
Smith, Paul F.; Ganesh, Siva; Liu, Ping (2013-10-01). "A comparison of random forest regression and multiple linear regression for prediction in neuroscience". Journal of Neuroscience Methods. 220 (1): 85–91. doi:10.1016/j.jneumeth.2013.08.024. PMID 24012917. S2CID 13195700.

ncbi.nlm.nih.gov

Zhu R, Zeng D, Kosorok MR (2015). "Reinforcement Learning Trees". Journal of the American Statistical Association. 110 (512): 1770–1784. doi:10.1080/01621459.2015.1036994. PMC 4760114. PMID 26903687.

psu.edu (Global: 207^th place; English: 136^th place)

citeseerx.ist.psu.edu

Kleinberg E (1990). "Stochastic Discrimination" (PDF). Annals of Mathematics and Artificial Intelligence. 1 (1–4): 207–239. CiteSeerX 10.1.1.25.6750. doi:10.1007/BF01531079. S2CID 206795835. Archived from the original (PDF) on 2018-01-18.
Kleinberg E (2000). "On the Algorithmic Implementation of Stochastic Discrimination" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 22 (5): 473–490. Bibcode:2000ITPAM..22..473K. CiteSeerX 10.1.1.33.4131. doi:10.1109/34.857004. S2CID 3563126. Archived from the original (PDF) on 2018-01-18.
Amit Y, Geman D (1997). "Shape quantization and recognition with randomized trees" (PDF). Neural Computation. 9 (7): 1545–1588. CiteSeerX 10.1.1.57.6069. doi:10.1162/neco.1997.9.7.1545. S2CID 12470146. Archived from the original (PDF) on 2018-02-05. Retrieved 2008-04-01.
Strobl C, Boulesteix AL, Augustin T (2007). "Unbiased split selection for classification trees based on the Gini index" (PDF). Computational Statistics & Data Analysis. 52: 483–501. CiteSeerX 10.1.1.525.3178. doi:10.1016/j.csda.2006.12.030.
Lin, Yi; Jeon, Yongho (2002). Random forests and adaptive nearest neighbors (Technical report). Technical Report No. 1055. University of Wisconsin. CiteSeerX 10.1.1.153.9168.
Shi, T.; Horvath, S. (2006). "Unsupervised Learning with Random Forest Predictors". Journal of Computational and Graphical Statistics. 15 (1): 118–138. CiteSeerX 10.1.1.698.2365. doi:10.1198/106186006X94072. JSTOR 27594168. S2CID 245216.
Lin, Yi; Jeon, Yongho (2006). "Random forests and adaptive nearest neighbors". Journal of the American Statistical Association. 101 (474): 578–590. CiteSeerX 10.1.1.153.9168. doi:10.1198/016214505000001230. S2CID 2469856.
Breiman L, Ghahramani Z (2004). "Consistency for a simple model of random forests". Statistical Department, University of California at Berkeley. Technical Report (670). CiteSeerX 10.1.1.618.90.

r-project.org (Global: 7,871^st place; English: 5,225^th place)

cran.r-project.org

Liaw A (16 October 2012). "Documentation for R package randomForest" (PDF). Retrieved 15 March 2013.

researchgate.net (Global: 120^th place; English: 125^th place)

Deng, H.; Runger, G.; Tuv, E. (2011). Bias of importance measures for multi-valued attributes and solutions. Proceedings of the 21st International Conference on Artificial Neural Networks (ICANN). pp. 293–300.

sciencedirect.com (Global: 149^th place; English: 178^th place)

Sagi, Omer; Rokach, Lior (2020). "Explainable decision forest: Transforming a decision forest into an interpretable tree". Information Fusion. 61: 124–138. doi:10.1016/j.inffus.2020.03.013. S2CID 216444882.

scikit-learn.org (Global: low place; English: low place)

https://scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html 31. Aug. 2023

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Ho TK (1998). "The Random Subspace Method for Constructing Decision Forests" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 20 (8): 832–844. Bibcode:1998ITPAM..20..832T. doi:10.1109/34.709601. S2CID 206420153.
Kleinberg E (1990). "Stochastic Discrimination" (PDF). Annals of Mathematics and Artificial Intelligence. 1 (1–4): 207–239. CiteSeerX 10.1.1.25.6750. doi:10.1007/BF01531079. S2CID 206795835. Archived from the original (PDF) on 2018-01-18.
Kleinberg E (2000). "On the Algorithmic Implementation of Stochastic Discrimination" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 22 (5): 473–490. Bibcode:2000ITPAM..22..473K. CiteSeerX 10.1.1.33.4131. doi:10.1109/34.857004. S2CID 3563126. Archived from the original (PDF) on 2018-01-18.
Amit Y, Geman D (1997). "Shape quantization and recognition with randomized trees" (PDF). Neural Computation. 9 (7): 1545–1588. CiteSeerX 10.1.1.57.6069. doi:10.1162/neco.1997.9.7.1545. S2CID 12470146. Archived from the original (PDF) on 2018-02-05. Retrieved 2008-04-01.
Ho, Tin Kam (2002). "A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors" (PDF). Pattern Analysis and Applications. 5 (2): 102–112. doi:10.1007/s100440200009. S2CID 7415435. Archived from the original (PDF) on 2016-04-17. Retrieved 2015-11-13.
Piryonesi S. Madeh; El-Diraby Tamer E. (2020-06-01). "Role of Data Analytics in Infrastructure Asset Management: Overcoming Data Size and Quality Problems". Journal of Transportation Engineering, Part B: Pavements. 146 (2): 04020022. doi:10.1061/JPEODX.0000175. S2CID 216485629.
Painsky A, Rosset S (2017). "Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance". IEEE Transactions on Pattern Analysis and Machine Intelligence. 39 (11): 2142–2153. arXiv:1512.03444. Bibcode:2017ITPAM..39.2142P. doi:10.1109/tpami.2016.2636831. PMID 28114007. S2CID 5381516.
Shi, T.; Horvath, S. (2006). "Unsupervised Learning with Random Forest Predictors". Journal of Computational and Graphical Statistics. 15 (1): 118–138. CiteSeerX 10.1.1.698.2365. doi:10.1198/106186006X94072. JSTOR 27594168. S2CID 245216.
Piryonesi, S. Madeh; El-Diraby, Tamer E. (2021-02-01). "Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling". Journal of Infrastructure Systems. 27 (2): 04021005. doi:10.1061/(ASCE)IS.1943-555X.0000602. ISSN 1076-0342. S2CID 233550030.
Smith, Paul F.; Ganesh, Siva; Liu, Ping (2013-10-01). "A comparison of random forest regression and multiple linear regression for prediction in neuroscience". Journal of Neuroscience Methods. 220 (1): 85–91. doi:10.1016/j.jneumeth.2013.08.024. PMID 24012917. S2CID 13195700.
Lin, Yi; Jeon, Yongho (2006). "Random forests and adaptive nearest neighbors". Journal of the American Statistical Association. 101 (474): 578–590. CiteSeerX 10.1.1.153.9168. doi:10.1198/016214505000001230. S2CID 2469856.
Sagi, Omer; Rokach, Lior (2020). "Explainable decision forest: Transforming a decision forest into an interpretable tree". Information Fusion. 61: 124–138. doi:10.1016/j.inffus.2020.03.013. S2CID 216444882.

pdfs.semanticscholar.org

Kleinberg E (1990). "Stochastic Discrimination" (PDF). Annals of Mathematics and Artificial Intelligence. 1 (1–4): 207–239. CiteSeerX 10.1.1.25.6750. doi:10.1007/BF01531079. S2CID 206795835. Archived from the original (PDF) on 2018-01-18.
Kleinberg E (2000). "On the Algorithmic Implementation of Stochastic Discrimination" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 22 (5): 473–490. Bibcode:2000ITPAM..22..473K. CiteSeerX 10.1.1.33.4131. doi:10.1109/34.857004. S2CID 3563126. Archived from the original (PDF) on 2018-01-18.

stanford.edu (Global: 179^th place; English: 183^rd place)

www-stat.stanford.edu

Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2008). The Elements of Statistical Learning (2nd ed.). Springer. ISBN 0-387-95284-5.

taylorfrancis.com (Global: 3,142^nd place; English: 2,072^nd place)

Breiman, Leo (2017-10-25). Classification and Regression Trees. New York: Routledge. doi:10.1201/9781315139470. ISBN 978-1-315-13947-0.

ulg.ac.be (Global: 7,875^th place; English: 8,199^th place)

orbi.ulg.ac.be

Geurts P, Ernst D, Wehenkel L (2006). "Extremely randomized trees" (PDF). Machine Learning. 63: 3–42. doi:10.1007/s10994-006-6226-1.

uni-muenchen.de (Global: 3,337^th place; English: 3,444^th place)

epub.ub.uni-muenchen.de

Strobl C, Boulesteix AL, Augustin T (2007). "Unbiased split selection for classification trees based on the Gini index" (PDF). Computational Statistics & Data Analysis. 52: 483–501. CiteSeerX 10.1.1.525.3178. doi:10.1016/j.csda.2006.12.030.

usc.edu (Global: 1,077^th place; English: 761^st place)

www-bcf.usc.edu

Gareth James; Daniela Witten; Trevor Hastie; Robert Tibshirani (2013). An Introduction to Statistical Learning. Springer. pp. 316–321.

utoronto.ca (Global: 1,601^st place; English: 1,117^th place)

tspace.library.utoronto.ca

Piryonesi, Sayed Madeh (November 2019). The Application of Data Analytics to Asset Management: Deterioration and Climate Change Adaptation in Ontario Roads (Doctoral dissertation) (Thesis).

web.archive.org (Global: 1^st place; English: 1^st place)

Ho, Tin Kam (1995). Random Decision Forests (PDF). Proceedings of the 3rd International Conference on Document Analysis and Recognition, Montreal, QC, 14–16 August 1995. pp. 278–282. Archived from the original (PDF) on 17 April 2016. Retrieved 5 June 2016.
Kleinberg E (1990). "Stochastic Discrimination" (PDF). Annals of Mathematics and Artificial Intelligence. 1 (1–4): 207–239. CiteSeerX 10.1.1.25.6750. doi:10.1007/BF01531079. S2CID 206795835. Archived from the original (PDF) on 2018-01-18.
Kleinberg E (2000). "On the Algorithmic Implementation of Stochastic Discrimination" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 22 (5): 473–490. Bibcode:2000ITPAM..22..473K. CiteSeerX 10.1.1.33.4131. doi:10.1109/34.857004. S2CID 3563126. Archived from the original (PDF) on 2018-01-18.
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wikidata.org (Global: 43^rd place; English: 161^st place)

Helen Pearson; Heidi Ledford; Matthew Hutson; Richard Van Noorden (15 April 2025). "Exclusive: the most-cited papers of the twenty-first century". Nature. 640 (8059): 588–592. doi:10.1038/D41586-025-01125-9. ISSN 1476-4687. Wikidata Q135104889.

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Helen Pearson; Heidi Ledford; Matthew Hutson; Richard Van Noorden (15 April 2025). "Exclusive: the most-cited papers of the twenty-first century". Nature. 640 (8059): 588–592. doi:10.1038/D41586-025-01125-9. ISSN 1476-4687. Wikidata Q135104889.
Piryonesi, S. Madeh; El-Diraby, Tamer E. (2021-02-01). "Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling". Journal of Infrastructure Systems. 27 (2): 04021005. doi:10.1061/(ASCE)IS.1943-555X.0000602. ISSN 1076-0342. S2CID 233550030.

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