Who Cited It

Classification and Regression Trees.

1986 · Journal of the American Statistical Association · 21,044 citations · 43 from inside this corpus

John Van Ryzin low, Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone

No abstract in the source record.

Classification and Regression Trees. (1986)Classification and Regression…Greedy function approximation: A gradient boosting machine. (2001)Greedy function approximation…An introduction to ROC analysis (2005)An introduction to ROC analys…A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection (1995)A Study of Cross-Validation a…Learning from Imbalanced Data (2009)Learning from Imbalanced DataStop explaining black box machine learning models for high stakes decisions and use inter… (2019)Stop explaining black box mac…Extremely randomized trees (2006)Extremely randomized treesWrappers for feature subset selection (1997)Wrappers for feature subset s…Multivariate Adaptive Regression Splines (1991)Multivariate Adaptive Regress…The use of the area under the ROC curve in the evaluation of machine learning algorithms (1997)The use of the area under the…The random subspace method for constructing decision forests (1998)The random subspace method fo…Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)Machine Learning: Algorithms,…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…Instance-Based Learning Algorithms (1991)Instance-Based Learning Algor…A random forest guided tour (2016)A random forest guided tourA survey of decision tree classifier methodology (1991)A survey of decision tree cla…Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms (1998)Approximate Statistical Tests…Neural Networks and the Bias/Variance Dilemma (1992)Neural Networks and the Bias/…A Bayesian Method for the Induction of Probabilistic Networks from Data (1992)A Bayesian Method for the Ind…A Survey of Outlier Detection Methodologies (2004)A Survey of Outlier Detection…Selection of relevant features and examples in machine learning (1997)Selection of relevant feature…Understanding Machine Learning: From Theory To Algorithms (2015)Understanding Machine Learnin…Privacy-preserving data mining (2000)Privacy-preserving data miningSolving Multiclass Learning Problems via Error-Correcting Output Codes (1995)Solving Multiclass Learning P…Variable selection using random forests (2010)Variable selection using rand…Exploratory Undersampling for Class-Imbalance Learning (2008)Exploratory Undersampling for…A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification… (2001)A Simple Generalisation of th…Logistic regression and artificial neural network classification models: a methodology re… (2002)Logistic regression and artif…Definitions, methods, and applications in interpretable machine learning (2019)Definitions, methods, and app…Multi-class AdaBoost (2009)Multi-class AdaBoostAdvantages and disadvantages of using artificial neural networks versus logistic regressi… (1996)Advantages and disadvantages …The feature selection problem: traditional methods and a new algorithm (1992)The feature selection problem…The foundations of cost-sensitive learning (2001)The foundations of cost-sensi…On the algorithmic implementation of multiclass kernel-based vector machines (2002)On the algorithmic implementa…Mining time-changing data streams (2001)Machine learning for medical diagnosis: history, state of the art and perspective (2001)Machine learning for medical …Attribute-Based Classification for Zero-Shot Visual Object Categorization (2013)Attribute-Based Classificatio…
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What cites it, inside the corpus

PaperYearCited
Greedy function approximation: A gradient boosting machine.200130,137
An introduction to ROC analysis200521,837
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection199510,743
Learning from Imbalanced Data200910,209
Stop explaining black box machine learning models for high stakes decisions and use inter…20199,924
Extremely randomized trees20069,068
Wrappers for feature subset selection19978,991
Multivariate Adaptive Regression Splines19918,114
The use of the area under the ROC curve in the evaluation of machine learning algorithms19977,328
The random subspace method for constructing decision forests19986,904
Machine Learning: Algorithms, Real-World Applications and Research Directions20215,368
Learning Deep Architectures for AI20095,077
Instance-Based Learning Algorithms19914,128
A random forest guided tour20164,026
A survey of decision tree classifier methodology19913,833
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms19983,759
Neural Networks and the Bias/Variance Dilemma19923,612
A Bayesian Method for the Induction of Probabilistic Networks from Data19923,530
A Survey of Outlier Detection Methodologies20043,382
Selection of relevant features and examples in machine learning19973,309
Understanding Machine Learning: From Theory To Algorithms20153,081
Privacy-preserving data mining20002,997
Solving Multiclass Learning Problems via Error-Correcting Output Codes19952,729
Variable selection using random forests20102,615
Exploratory Undersampling for Class-Imbalance Learning20082,504
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification…20012,307
Logistic regression and artificial neural network classification models: a methodology re…20022,201
Definitions, methods, and applications in interpretable machine learning20192,161
Multi-class AdaBoost20091,916
Advantages and disadvantages of using artificial neural networks versus logistic regressi…19961,842
The feature selection problem: traditional methods and a new algorithm19921,839
The foundations of cost-sensitive learning20011,837
On the algorithmic implementation of multiclass kernel-based vector machines20021,789
Mining time-changing data streams20011,759
Machine learning for medical diagnosis: history, state of the art and perspective20011,691
Attribute-Based Classification for Zero-Shot Visual Object Categorization20131,674

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Neural Networks and ApplicationsComputer Science

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  • supports5 author record(s) attached.
  • weakensNo references are recorded despite 21,044 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
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