Who Cited It

A survey on ensemble learning

2019 · Frontiers of Computer Science · 1,951 citations · 0 from inside this corpus

Dong Xibin low, Zhiwen Yu, Wenming Cao, Yifan Shi, Qianli Ma

No abstract in the source record.

A survey on ensemble learning (2019)A survey on ensemble learningRandom Forests (2001)Random ForestsBagging Predictors (1996)Bagging PredictorsProceedings of the 25th international conference on Machine learning - ICML '08 (2008)Proceedings of the 25th inter…Combining labeled and unlabeled data with co-training (1998)Combining labeled and unlabel…Random decision forests (2002)Random decision forestsA discrete binary version of the particle swarm algorithm (2002)A discrete binary version of …The Strength of Weak Learnability (1990)The Strength of Weak Learnabi…A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba… (2011)A Review on Ensembles for the…Exploratory Undersampling for Class-Imbalance Learning (2008)Exploratory Undersampling for…Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Ac… (2003)Measures of Diversity in Clas…Ensemble Methods: Foundations and Algorithms (2012)Ensemble Methods: Foundations…Ensembling neural networks: Many could be better than all (2002)Ensembling neural networks: M…Multi-class AdaBoost (2009)Multi-class AdaBoostRotation Forest: A New Classifier Ensemble Method (2006)Rotation Forest: A New Classi…Neural Network Ensembles, Cross Validation, and Active Learning (1994)Neural Network Ensembles, Cro…
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What this paper cites, inside the corpus

PaperYearCited
Random Forests2001131,109
Bagging Predictors199617,191
Proceedings of the 25th international conference on Machine learning - ICML '0820086,718
Combining labeled and unlabeled data with co-training19985,631
Random decision forests20025,123
A discrete binary version of the particle swarm algorithm20024,768
The Strength of Weak Learnability19903,344
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…20112,834
Exploratory Undersampling for Class-Imbalance Learning20082,504
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Ac…20032,321
Ensemble Methods: Foundations and Algorithms20122,064
Ensembling neural networks: Many could be better than all20021,990
Multi-class AdaBoost20091,916
Rotation Forest: A New Classifier Ensemble Method20061,911
Neural Network Ensembles, Cross Validation, and Active Learning19941,803

Links

DOI · OpenAlex record

Topics

Data Stream Mining TechniquesComputer Science
Anomaly Detection Techniques and ApplicationsComputer Science
Imbalanced Data Classification TechniquesComputer Science

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complete

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

  • supports5 author record(s) attached.
  • supports213 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 2026-09-04T03:58:52+00:00.

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