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Receiver operating characteristic
Known as:
Receiver operator curve
, C-statistic
, Receiver operator characteristic
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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 paradox
Algorithm
Base rate
Binary classification
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Broader (4)
Biostatistics
Data mining
Detection theory
Statistical 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
Peter Sarlin
,
Dorina Marghescu
IEEE International Conference on Data Mining…
2010
Corpus ID: 17687367
Throughout the 1990s, four global waves of financial turmoil occurred. The beginning of the 21st century has also suffered from…
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Highly Cited
2009
Highly Cited
2009
Fusion of color spaces for ear authentication
L. Nanni
,
A. Lumini
Pattern Recognition
2009
Corpus ID: 26672887
Highly Cited
2007
Highly Cited
2007
Objective evaluation of approaches of skin detection using ROC analysis
Stephen J. Schmugge
,
S. Jayaram
,
M. Shin
,
L. Tsap
Computer Vision and Image Understanding
2007
Corpus ID: 207059176
Highly Cited
2005
Highly Cited
2005
Using continuous biometric verification to protect interactive login sessions
Sandeep Kumar
,
T. Sim
,
R. Janakiraman
,
S. Zhang
Asia-Pacific Computer Systems Architecture…
2005
Corpus ID: 14480077
In this paper we describe the theory, architecture, implementation, and performance of a multimodal passive biometric…
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Highly Cited
2004
Highly Cited
2004
Mammogram segmentation by contour searching and massive lesion classification with neural network
F. Fauci
,
S. Bagnasco
,
+15 authors
S. Tangaro
IEEE Symposium Conference Record Nuclear Science…
2004
Corpus ID: 7382030
The mammography is the most effective procedure for an early diagnosis of the breast cancer. In this paper, an algorithm for…
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Review
2003
Review
2003
Improved Rooftop Detection in Aerial Images with Machine Learning
M. Maloof
,
P. Langley
,
T. Binford
,
R. Nevatia
,
S. Sage
Machine-mediated learning
2003
Corpus ID: 5794396
In this paper, we examine the use of machine learning to improve a rooftop detection process, one step in a vision system that…
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Highly Cited
2003
Highly Cited
2003
Comparison of human- and model-observer LROC studies
H. Gifford
,
P. Pretorius
,
M. King
SPIE Medical Imaging
2003
Corpus ID: 120319890
We have investigated whether extensions of linear model observers can predict human performance in a localization ROC (LROC…
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2001
2001
Virtual sample generation for template-based shape matching
D. Gavrila
,
J. Giebel
Proceedings of the IEEE Computer Society…
2001
Corpus ID: 34659668
This paper presents a method for improving the performance of matching systems that correlate using shape templates. The basic…
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Highly Cited
1998
Highly Cited
1998
A comparison of human observer LROC and numerical observer ROC for tumor detection in SPECT images
H. Gifford
,
R. G. Wells
,
Matt A. King
IEEE Nuclear Science Symposium Conference Record…
1998
Corpus ID: 61981982
The authors have compared performances of humans in a localization ROC (LROC) study to performances of a channelized Hotelling…
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Highly Cited
1979
Highly Cited
1979
A study guide to epidemiology and biostatistics
L. Kupper
,
R. Morton
,
J. Hebel
1979
Corpus ID: 72373119
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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