Results 61 to 70 of about 488,717 (225)
Do unbalanced data have a negative effect on LDA? [PDF]
, 2008 For two-class discrimination, Xie and Qiu [The effect of imbalanced data sets on LDA: a theoretical and empirical analysis, Pattern Recognition 40 (2) (2007) 557–562] claimed that, when covariance matrices of the two classes were unequal, a (class ...
Titterington, D.M., Xue, J.H.
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Smooth ROC curve estimation via Bernstein polynomials.
PLoS ONE, 2021 The receiver operating characteristic (ROC) curve is commonly used to evaluate the accuracy of a diagnostic test for classifying observations into two groups.
Dongliang Wang, Xueya Cai
doaj +1 more source
Receiver operating characteristic (ROC) curve of the MaxEnt niche model.
, 2020 Receiver operating characteristic (ROC) curve of the MaxEnt niche model.
Luyan Tang (8677047) +4 more
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Assessment of Sonoelastography as Diagnosis Tool of Inflammatory Myopathies [PDF]
Applied Medical Informatics, 2010 Background: Inflammatory myopathies represent a special group of pathology. Establishing the correct diagnosis in the early phase and a better follow-up are the main objective for improving the life quality of these patients.
Carolina BOTAR-JID +6 more
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Receiver operating characteristic (ROC) curve analyses.
, 2016 The ROC plots for CEA (A), CA153 (B), CA125 (C) and the combination of CEA and CA153 (D) were used to differentiate breast cancer from benign disease. AUC, area under the receiver operating characteristic curve; CI, confidence interval.
Yu Mei (847605) +4 more
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Image saliency detection based on geodesic‐like and boundary contrast maps
ETRI Journal, 2019 Image saliency detection is the basis of perceptual image processing, which is significant to subsequent image processing methods. Most saliency detection methods can detect only a single object with a high‐contrast background, but they have no effect on
Yingchun Guo, Yi Liu, Runxin Ma
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Receiver operating characteristic (ROC) curve for DHI scoring.
, 2013 Receiver operating characteristic (ROC) curve for DHI scoring.
Amrish Saxena (385400) +1 more
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On Boundary Correction in Kernel Estimation of ROC Curves
Austrian Journal of Statistics, 2016 The Receiver Operating Characteristic (ROC) curve is a statistical tool for evaluating the accuracy of diagnostics tests. The empirical ROC curve (which is a step function) is the most commonly used non-parametric estimator for the ROC curve.
Jan Koláček, Rohana J. Karunamuni
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Non Parametric Confidence Intervals for Receiver Operating Characteristic Curves [PDF]
We study methods for constructing confidence intervals, and confidence bands, for estimators of receiver operating characteristics. Particular emphasis is placed on the way in which smoothing should be implemented, when estimating either the ...
Rob J. Hyndman, Yanan Fan, Peter G. Hall
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Nonparametric Predictive Inference for Ordinal Data and Accuracy of Diagnostic Tests [PDF]
, 2012 This thesis considers Nonparametric Predictive Inference (NPI) for ordinal data and accuracy of diagnostic tests. We introduce NPI for ordinal data, which are categor- ical data with an ordering of the categories.
ALI, FAIZA,FARAG
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