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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.
2012
2012
A very high performing system to discriminate tissues in mammograms as benign and malignant
L. Nanni
,
S. Brahnam
,
A. Lumini
Expert systems with applications
2012
Corpus ID: 14339720
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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2007
2007
An SVM Framework for Genre-Independent Scene Change Detection
Naveen Goela
,
K. Wilson
,
Feng Niu
,
Ajay Divakaran
,
I. Otsuka
IEEE International Conference on Multimedia and…
2007
Corpus ID: 1638594
We present a novel genre-independent SVM framework for detecting scene changes in broadcast video. Our framework works on content…
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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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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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2002
2002
Numerical observer study of MAP-OSEM regularization methods with anatomical priors for lesion detection in /sup 67/Ga images
P. Bruyant
,
H. Gifford
,
G. Gindi
,
M. King
IEEE Transactions on Nuclear Science
2002
Corpus ID: 41422750
With the increasing number of multimodality systems, registered anatomical data is becoming available for use as patient-specific…
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1999
1999
Using the receiver operating characteristic to asses the performance of neural classifiers
T. Downey
,
D. J. Meyer
,
R. K. Price
,
E. Spitznagel
IJCNN'99. International Joint Conference on…
1999
Corpus ID: 6925847
As artificial neural networks continue to find usefulness in fields which historically favor more traditional statistical methods…
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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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1977
1977
Receiver operating characteristic analysis of sensitivity in neural systems
T. Cohn
Proceedings of the IEEE
1977
Corpus ID: 39291559
Receiver operating characteristic analysis and the associated theory of signal detectability provide objective means of examining…
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