Who Cited It

Ensemble Methods in Machine Learning

2000 · Lecture notes in computer science · 8,058 citations · 14 from inside this corpus

Thomas G. Dietterich

No abstract in the source record.

Ensemble Methods in Machine Learning (2000)Ensemble Methods in Machine L…Bagging Predictors (1996)Bagging PredictorsAdvances in neural information processing systems 7 (1996)Advances in neural informatio…Experiments with a new boosting algorithm (1996)Experiments with a new boosti…Neural network ensembles (1990)Neural network ensemblesAn Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:… (2000)An Experimental Comparison of…Solving Multiclass Learning Problems via Error-Correcting Output Codes (1995)Solving Multiclass Learning P…An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia… (1999)An Empirical Comparison of Vo…Improved boosting algorithms using confidence-rated predictions (1998)Improved boosting algorithms …Universal approximation of an unknown mapping and its derivatives using multilayer feedfo… (1990)Universal approximation of an…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Distilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…Differential Evolution: A Survey of the State-of-the-Art (2010)Differential Evolution: A Sur…A random forest guided tour (2016)A random forest guided tourA Review on Multi-Label Learning Algorithms (2013)A Review on Multi-Label Learn…On hyperparameter optimization of machine learning algorithms: Theory and practice (2020)On hyperparameter optimizatio…Ensemble based systems in decision making (2006)Ensemble based systems in dec…Variable selection using random forests (2010)Variable selection using rand…Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Ac… (2003)Measures of Diversity in Clas…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…Ensemble deep learning: A review (2022)Ensemble deep learning: A rev…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 …Automated Machine Learning (2019)Automated Machine Learning
23 of 23 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
Bagging Predictors199617,191
Advances in neural information processing systems 7199614,393
Experiments with a new boosting algorithm19967,582
Neural network ensembles19904,288
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…20002,962
Solving Multiclass Learning Problems via Error-Correcting Output Codes19952,729
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…19992,656
Improved boosting algorithms using confidence-rated predictions19982,573
Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…19902,132

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
Distilling the Knowledge in a Neural Network201514,099
Differential Evolution: A Survey of the State-of-the-Art20105,295
A random forest guided tour20164,026
A Review on Multi-Label Learning Algorithms20133,375
On hyperparameter optimization of machine learning algorithms: Theory and practice20203,249
Ensemble based systems in decision making20062,965
Variable selection using random forests20102,615
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Ac…20032,321
On the Opportunities and Risks of Foundation Models20212,265
Ensemble deep learning: A review20222,136
Rotation Forest: A New Classifier Ensemble Method20061,911
Machine learning methods for solar radiation forecasting: A review20171,793
Automated Machine Learning20191,451

Links

DOI · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Face and Expression RecognitionComputer Science
Machine Learning and Data ClassificationComputer Science

Is this record sound?

complete

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

  • supports1 author record(s) attached.
  • supports25 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 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…