On combining classifiers

Josef Kittler; M. Hatef; Robert P. W. Duin; Jiřı́ Matas

doi:https://doi.org/10.1109/34.667881

On combining classifiers

1998 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 5,302 citations · 7 from inside this corpus

Josef Kittler, M. Hatef low, Robert P. W. Duin, Jiřı́ Matas

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

17 of 17 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.

this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

Ensemble based systems in decision making→On combining classifiersLegacy edge — source detail unavailable
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→On combining classifiersLegacy edge — source detail unavailable
A Dataset for Breast Cancer Histopathological Image Classification→On combining classifiersLegacy edge — source detail unavailable
CLASSIFICATION OF IMBALANCED DATA: A REVIEW→On combining classifiersLegacy edge — source detail unavailable
Neural networks for classification: a survey→On combining classifiersLegacy edge — source detail unavailable
An overview of text-independent speaker recognition: From features to supervectors→On combining classifiersLegacy edge — source detail unavailable
Cost-sensitive boosting for classification of imbalanced data→On combining classifiersLegacy edge — source detail unavailable
On combining classifiers→Bagging PredictorsLegacy edge — source detail unavailable
On combining classifiers→Bagging predictorsLegacy edge — source detail unavailable
On combining classifiers→Stacked generalizationLegacy edge — source detail unavailable
On combining classifiers→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
On combining classifiers→Random decision forestsLegacy edge — source detail unavailable
On combining classifiers→Neural network ensemblesLegacy edge — source detail unavailable
On combining classifiers→Pattern recognition : a statistical approachLegacy edge — source detail unavailable
On combining classifiers→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
On combining classifiers→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
On combining classifiers→Decision combination in multiple classifier systemsLegacy edge — source detail unavailable
Random decision forests→Neural network ensemblesLegacy edge — source detail unavailable
Boosting the margin: a new explanation for the effectiveness of voting methods→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
Boosting the margin: a new explanation for the effectiveness of voting methods→Bagging PredictorsLegacy edge — source detail unavailable
CLASSIFICATION OF IMBALANCED DATA: A REVIEW→Cost-sensitive boosting for classification of imbalanced dataLegacy edge — source detail unavailable
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→CLASSIFICATION OF IMBALANCED DATA: A REVIEWLegacy edge — source detail unavailable
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Decision combination in multiple classifier systemsLegacy edge — source detail unavailable
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Cost-sensitive boosting for classification of imbalanced dataLegacy edge — source detail unavailable
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Ensemble based systems in decision makingLegacy edge — source detail unavailable
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Bagging PredictorsLegacy edge — source detail unavailable
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Bagging predictorsLegacy edge — source detail unavailable
Cost-sensitive boosting for classification of imbalanced data→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
Cost-sensitive boosting for classification of imbalanced data→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
Cost-sensitive boosting for classification of imbalanced data→Bagging PredictorsLegacy edge — source detail unavailable
Cost-sensitive boosting for classification of imbalanced data→Bagging predictorsLegacy edge — source detail unavailable
Experiments with a new boosting algorithm→Bagging PredictorsLegacy edge — source detail unavailable
Neural Network Ensembles, Cross Validation, and Active Learning→Neural network ensemblesLegacy edge — source detail unavailable
Neural Network Ensembles, Cross Validation, and Active Learning→Stacked generalizationLegacy edge — source detail unavailable
Neural networks for classification: a survey→Pattern recognition : a statistical approachLegacy edge — source detail unavailable
Neural networks for classification: a survey→Decision combination in multiple classifier systemsLegacy edge — source detail unavailable
Neural networks for classification: a survey→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
Neural networks for classification: a survey→Neural network ensemblesLegacy edge — source detail unavailable
Neural networks for classification: a survey→Stacked generalizationLegacy edge — source detail unavailable
Neural networks for classification: a survey→Bagging PredictorsLegacy edge — source detail unavailable
Neural networks for classification: a survey→Bagging predictorsLegacy edge — source detail unavailable
Ensemble based systems in decision making→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
Ensemble based systems in decision making→Decision combination in multiple classifier systemsLegacy edge — source detail unavailable
Ensemble based systems in decision making→Neural network ensemblesLegacy edge — source detail unavailable
Ensemble based systems in decision making→Stacked generalizationLegacy edge — source detail unavailable
Ensemble based systems in decision making→Bagging PredictorsLegacy edge — source detail unavailable
Ensemble based systems in decision making→Bagging predictorsLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Bagging Predictors	1996	17,191
Bagging predictors	1996	16,468
Stacked generalization	1992	7,777
Experiments with a new boosting algorithm	1996	7,582
Random decision forests	2002	5,123
Neural network ensembles	1990	4,288
Pattern recognition : a statistical approach	1982	2,927
Boosting the margin: a new explanation for the effectiveness of voting methods	1998	2,344
Neural Network Ensembles, Cross Validation, and Active Learning	1994	1,803
Decision combination in multiple classifier systems	1994	1,515

What cites it, inside the corpus

Paper	Year	Cited
Ensemble based systems in decision making	2006	2,965
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…	2011	2,834
A Dataset for Breast Cancer Histopathological Image Classification	2015	1,822
CLASSIFICATION OF IMBALANCED DATA: A REVIEW	2009	1,713
Neural networks for classification: a survey	2000	1,672
An overview of text-independent speaker recognition: From features to supervectors	2009	1,453
Cost-sensitive boosting for classification of imbalanced data	2007	1,438

Links

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Topics

Neural Networks and Applications	Computer Science
Blind Source Separation Techniques	Computer Science
Face and Expression Recognition	Computer Science

Is this record sound?

complete

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

supports4 author record(s) attached.
supports50 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 2026-09-04T03:58:44+00:00.

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