Who Cited It

Bagging predictors

1996 · Machine Learning · 16,468 citations · 21 from inside this corpus

Leo Breiman

No abstract in the source record.

Bagging predictors (1996)Bagging predictorsAn Introduction to the Bootstrap (1993)An Introduction to the Bootst…Multivariate Adaptive Regression Splines (1991)Multivariate Adaptive Regress…Machine Learning, Neural and Statistical Classification (1995)Machine Learning, Neural and …Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Extremely randomized trees (2006)Extremely randomized treesWrappers for feature subset selection (1997)Wrappers for feature subset s…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,…On combining classifiers (1998)On combining classifiersApproximate Statistical Tests for Comparing Supervised Classification Learning Algorithms (1998)Approximate Statistical Tests…Machine Learning in Medicine (2015)Machine Learning in MedicineEnsemble learning: A survey (2018)Ensemble learning: A surveyEnsemble based systems in decision making (2006)Ensemble based systems in dec…A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba… (2011)A Review on Ensembles for the…Variable selection using random forests (2010)Variable selection using rand…Exploratory Undersampling for Class-Imbalance Learning (2008)Exploratory Undersampling for…Ensemble deep learning: A review (2022)Ensemble deep learning: A rev…Ensembling neural networks: Many could be better than all (2002)Ensembling neural networks: M…Rotation Forest: A New Classifier Ensemble Method (2006)Rotation Forest: A New Classi…Machine learning methods for solar radiation forecasting: A review (2017)Machine learning methods for …Neural networks for classification: a survey (2000)Neural networks for classific…Machine Learning for Medical Imaging (2017)Machine Learning for Medical …Machine learning predictive models for mineral prospectivity: An evaluation of neural net… (2015)Machine learning predictive m…Cost-sensitive boosting for classification of imbalanced data (2007)Cost-sensitive boosting for c…
24 of 24 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
An Introduction to the Bootstrap199321,041
Multivariate Adaptive Regression Splines19918,114
Machine Learning, Neural and Statistical Classification19952,193

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
Extremely randomized trees20069,068
Wrappers for feature subset selection19978,991
The random subspace method for constructing decision forests19986,904
Machine Learning: Algorithms, Real-World Applications and Research Directions20215,368
On combining classifiers19985,302
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms19983,759
Machine Learning in Medicine20153,534
Ensemble learning: A survey20183,088
Ensemble based systems in decision making20062,965
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…20112,834
Variable selection using random forests20102,615
Exploratory Undersampling for Class-Imbalance Learning20082,504
Ensemble deep learning: A review20222,136
Ensembling neural networks: Many could be better than all20021,990
Rotation Forest: A New Classifier Ensemble Method20061,911
Machine learning methods for solar radiation forecasting: A review20171,793
Neural networks for classification: a survey20001,672
Machine Learning for Medical Imaging20171,668
Machine learning predictive models for mineral prospectivity: An evaluation of neural net…20151,570
Cost-sensitive boosting for classification of imbalanced data20071,438

Links

DOI · Open access copy · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Data Mining Algorithms and ApplicationsComputer Science
Rough Sets and Fuzzy LogicComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports1 author record(s) attached.
  • supports11 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…