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Receiver operating characteristic

Known as: Receiver operator curve, C-statistic, Receiver operator characteristic 
In statistics, a receiver operating characteristic (ROC), or ROC curve, is a graphical plot that illustrates the performance of a binary classifier… 
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Related topics

Related topics

35 relations
Accuracy paradoxAlgorithmBase rateBinary classification

Broader (4)

BiostatisticsData miningDetection theoryStatistical classification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Visual Predictions of Currency Crises Using Self-Organizing Maps
Throughout the 1990s, four global waves of financial turmoil occurred. The beginning of the 21st century has also suffered from… 
Highly Cited
2009
Highly Cited
2009
Fusion of color spaces for ear authentication
Highly Cited
2005
Highly Cited
2005
Using continuous biometric verification to protect interactive login sessions
In this paper we describe the theory, architecture, implementation, and performance of a multimodal passive biometric… 
Highly Cited
2004
Highly Cited
2004
Mammogram segmentation by contour searching and massive lesion classification with neural network
The mammography is the most effective procedure for an early diagnosis of the breast cancer. In this paper, an algorithm for… 
Highly Cited
2003
Highly Cited
2003
Comparison of human- and model-observer LROC studies
We have investigated whether extensions of linear model observers can predict human performance in a localization ROC (LROC… 
2003
2003
Optimizing Classifier Performance Via the Wilcoxon-Mann-Whitney Statistic
Cross entropy and mean squared error are typical cost functions used to optimize classi er performance. The goal of the… 
2001
2001
Virtual sample generation for template-based shape matching
This paper presents a method for improving the performance of matching systems that correlate using shape templates. The basic… 
1999
1999
Using the receiver operating characteristic to asses the performance of neural classifiers
As artificial neural networks continue to find usefulness in fields which historically favor more traditional statistical methods… 
Highly Cited
1998
Highly Cited
1998
A comparison of human observer LROC and numerical observer ROC for tumor detection in SPECT images
The authors have compared performances of humans in a localization ROC (LROC) study to performances of a channelized Hotelling… 
Highly Cited
1979
Highly Cited
1979
A study guide to epidemiology and biostatistics
The Fifth Edition of this popular text is your student's comprehensive study guide to the basic principles of both epidemiology… 
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