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» On Bootstrapping the ROC Curve
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IJCNN
2006
IEEE
13 years 11 months ago
Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions
— This paper proposes a novel method of fusing models for classification of unbalanced data. The unbalanced data contains a majority of healthy (negative) instances, and a minor...
Paul F. Evangelista, Mark J. Embrechts, Boleslaw K...
AUSAI
2006
Springer
13 years 9 months ago
Efficient AUC Learning Curve Calculation
Abstract. A learning curve of a performance measure provides a graphical method with many benefits for judging classifier properties. The area under the ROC curve (AUC) is a useful...
Remco R. Bouckaert
TWC
2010
13 years 3 days ago
Analysis of area under the ROC curve of energy detection
A simple figure of merit to describe the performance of an energy detector is desirable. The area under the receiver operating characteristic (ROC) curve, denoted (AUC), is such a ...
Saman Atapattu, Chintha Tellambura, Hai Jiang
ICIP
1995
IEEE
14 years 6 months ago
Constrained monotone regression of ROC curves and histograms using splines and polynomials
Receiver operating characteristics (ROC) curves have the property that they start at (0,l) and end at (1,O) and are monotonically decreasing. Furthermore, a parametric representat...
Tapas Kanungo, D. M. Gay, Robert M. Haralick
BMCBI
2008
167views more  BMCBI 2008»
13 years 5 months ago
Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments
Background: Most microarray experiments are carried out with the purpose of identifying genes whose expression varies in relation with specific conditions or in response to enviro...
Stefano Parodi, Vito Pistoia, Marco Muselli