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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
2016
Highly Cited
2016
Convolutional neural network for video fire and smoke detection
Research on video analysis for fire detection has become a hot topic in computer vision. However, the conventional algorithms use… 
Highly Cited
2014
Highly Cited
2014
Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test
Review
2013
Review
2013
Do We Know Who Will Drop Out?: A Review of the Predictors of Dropping out of High School: Precision, Sensitivity, and Specificity
The purpose of this study is to review the literature on the most accurate indicators of students at risk of dropping out of high… 
Highly Cited
2011
Highly Cited
2011
J-RoC: A Joint Routing and Charging scheme to prolong sensor network lifetime
The emerging wireless charging technology creates a controllable and perpetual energy source to provide wireless power over… 
Highly Cited
2007
Highly Cited
2007
Analyzing Receiver Operating Characteristic Curves with SAS
As a diagnostic decision-making tool, receiver operating characteristic (ROC) curves provide a comprehensive and visually… 
Highly Cited
2005
Highly Cited
2005
Automated daily processing of more than 1000 ground‐based GPS receivers for studying intense ionospheric storms
As the number of ground‐based and space‐based receivers tracking the Global Positioning System (GPS) satellites steadily… 
Highly Cited
2005
Highly Cited
2005
Epileptic seizure detection using dynamic wavelet network
Highly Cited
2004
Highly Cited
2004
Optimising area under the ROC curve using gradient descent
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard… 
Highly Cited
2004
Highly Cited
2004
Comparison of multiwavelet, wavelet, Haralick, and shape features for microcalcification classification in mammograms
Highly Cited
1993
Highly Cited
1993
Receiver operating characteristic laboratory (ROCLAB): Software for developing decision strategies that account for uncertainty
  • J. DeLeo
  • (2nd) International Symposium on Uncertainty…
  • 1993
  • Corpus ID: 62230512
Receiver operating characteristic (ROC) methodology evaluates how well a decision strategy classifies retrospective dichotomous… 
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