Who Cited It

The use of the area under the ROC curve in the evaluation of machine learning algorithms

1997 · Pattern Recognition · 7,328 citations · 15 from inside this corpus

Andrew P. Bradley

No abstract in the source record.

The use of the area under the ROC curve in the evaluation of machine learning algorithms (1997)The use of the area under the…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…Classification and Regression Trees. (1986)Classification and Regression…Learning Internal Representations by Error Propagation (1985)Learning Internal Representat…Introduction to Statistical Pattern Recognition (1990)Introduction to Statistical P…Signal detection theory and psychophysics (1966)Signal detection theory and p…A method of comparing the areas under receiver operating characteristic curves derived fr… (1983)A method of comparing the are…Introduction to statistical pattern recognition (2nd ed.) (1990)Introduction to statistical p…Pattern Recognition Principles (2009)Pattern Recognition PrinciplesPattern recognition : a statistical approach (1982)Pattern recognition : a stati…Improving the learning speed of 2-layer neural networks by choosing initial values of the… (1990)Improving the learning speed …SMOTE: Synthetic Minority Over-sampling Technique (2002)SMOTE: Synthetic Minority Ove…An introduction to ROC analysis (2005)An introduction to ROC analys…The relationship between Precision-Recall and ROC curves (2006)The relationship between Prec…The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy i… (2020)The advantages of the Matthew…Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning (2005)Borderline-SMOTE: A New Over-…Support Vector Data Description (2003)Support Vector Data Descripti…A systematic study of the class imbalance problem in convolutional neural networks (2018)A systematic study of the cla…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…Classification assessment methods (2018)Classification assessment met…A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification… (2001)A Simple Generalisation of th…Using AUC and accuracy in evaluating learning algorithms (2005)Using AUC and accuracy in eva…An insight into classification with imbalanced data: Empirical results and current trends… (2013)An insight into classificatio…Machine learning predictive models for mineral prospectivity: An evaluation of neural net… (2015)Machine learning predictive m…Mining with rarity (2004)Mining with rarity
25 of 25 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
C4.5: Programs for Machine Learning199223,704
Classification and Regression Trees.198621,044
Learning Internal Representations by Error Propagation198516,273
Introduction to Statistical Pattern Recognition199011,140
Signal detection theory and psychophysics196610,002
A method of comparing the areas under receiver operating characteristic curves derived fr…19837,116
Introduction to statistical pattern recognition (2nd ed.)19903,814
Pattern Recognition Principles20093,207
Pattern recognition : a statistical approach19822,927
Improving the learning speed of 2-layer neural networks by choosing initial values of the…19901,386

What cites it, inside the corpus

PaperYearCited
SMOTE: Synthetic Minority Over-sampling Technique200232,402
An introduction to ROC analysis200521,837
The relationship between Precision-Recall and ROC curves20066,427
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy i…20206,132
Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning20054,049
Support Vector Data Description20033,526
A systematic study of the class imbalance problem in convolutional neural networks20183,072
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…20112,834
Exploratory Undersampling for Class-Imbalance Learning20082,504
Classification assessment methods20182,377
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification…20012,307
Using AUC and accuracy in evaluating learning algorithms20052,163
An insight into classification with imbalanced data: Empirical results and current trends…20131,602
Machine learning predictive models for mineral prospectivity: An evaluation of neural net…20151,570
Mining with rarity20041,396

Links

DOI · OpenAlex record

Topics

Imbalanced Data Classification TechniquesComputer Science
Artificial Intelligence in HealthcareHealth Professions
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.
  • supports52 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…