Result 1 to 10 of 10 total
Prediction of radical hysterectomy complications for cervical cancer using computational intelligence methods. (English)
Rutkowski, Leszek (ed.) et al., Artificial intelligence and soft computing. 11th international conference, ICAISC 2012, Zakopane, Poland, April 29‒May 3, 2012. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-29349-8/pbk). Lecture Notes in Computer Science 7268. Lecture Notes in Artificial Intelligence, 259-267 (2012).
1
Exact confidence interval estimation for the difference in diagnostic accuracy with three ordinal diagnostic groups. (English)
J. Stat. Plann. Inference 141, No. 1, 549-558 (2011).
2
A random-sum Wilcoxon statistic and its application to analysis of ROC and LROC data. (English)
J. Stat. Plann. Inference 141, No. 1, 335-344 (2011).
3
Regression analysis for the partial area under the ROC curve. (English)
Stat. Sin. 18, No. 3, 817-836 (2008).
4
ROC analysis with multiple classes and multiple tests: Methodology and its application in microarray studies. (English)
Biostatistics 9, No. 3, 566-576 (2008).
5
Random effects modeling approaches for estimating ROC curves from repeated ordinal tests without a gold standard. (English)
Biometrics 63, No. 2, 593-602 (2007).
6
ECG beat classifier designed by combined neural network model. (English)
Pattern Recognition 38, No. 2, 199-208 (2005).
7
Sensor placement for diagnosability. (English)
Ann. Math. Artif. Intell. 11, No. 1-4, 493-509 (1994).
8
On Probabilistic Diagnosis of Multiprocessor Systems Using Multiple Syndromes. (English)
IEEE Transactions on Parallel and Distributed Systems 05, No.06, 630-638 (1994).
9
Model discrimination for nonlinear regression models. (English)
Statistics: Textbooks and Monographs, 101. New York etc.: Marcel Dekker, Inc. xi, 177 p., {\$} 107.50 (1989).
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