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0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Showing results 1 to 20 of 28  next >
Issue DateTitleAuthor(s)RelationscopusWOSFulltext/Archive link
2013A modified area under the ROC curve and its application to marker selection and classificationYu, Wenbao; Chang, Yuan-chin Ivan ; Park, EunsikJournal of the Korean Statistical Society 0
2007A parsimonious threshold-independent protein feature selection method through the area under receiver operating characteristic curveWang, Zhanfeng; Chang, Yuan-Chin Ivan ; Ying, Zhiliang; Zhu, Liang; Yang, YaningBioinformatics 23(20), 2788-2794
2007A stochastic approximation view of boostingTsao, C. Andy; Chang, Yuan-Chin Ivan Computational Statistics & Data Analysis 52(1), 325-334
2019Active learning with simultaneous subject and variable selectionsYuan-chin Ivan Chang ; Ray-Bing ChenNeurocomputing 329, 495-505
2005Application of sequential interval estimation methods to adaptive mastery testingChang, Yuan-Chin Ivan Psychometrika 685-713
2004Application of sequential probability ratio test to computerized criterion-referenced testing.Chang, Y. -C. I. Sequential analysis 23(1), 45-61
2015Assessing the predictive power of newly added biomarkersZ. Wang; X. Luo; Yuan-chin Ivan Chang BIOMETRICAL JOURNAL
2004Building an Organ-Specific Carcinogenetic Database for SAR Analysis.Young, J. F.; Tong, W.; Fang, H.; Xie, Q.; Pearce, B.; Hashemi, R.; Beger, R. D.; Cheeseman, M. A.; Chen, J. J.; Chang, Y. -C. I. ; Kodell, R. L.JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH-PART A-CURRENT ISSUES 249-264
2009Constructing the best linear combination of diagnostic markers via sequential samplingChang, Yuan-chin I. ; Park, EunsikSTATISTICS & PROBABILITY LETTERS 1921-1927
2008Data Visualization via Kernel MachinesChang, Yuan-chin Ivan ; Lee, Yuh-Jye; Pao, Hsing-Kuo; Lee, Mei-Hsien; Huang, Su-YunHandbook of Computational Statistics (Volumn III)- Data Visualization 3, 539-559
2010Early stopping of L2Boosting, Computational Statistics and Data AnalysisChang, Yuan-chin Ivan ; Huang, Y; Huang, Y.Computational Statistics & Data Analysis 54, 2203 -- 2213
2019Greedy Active Learning Algorithm for Logistic Regression ModelsHsiang-Ling Hsu; Yuan-chin Ivan Chang ; Ray-Bing ChenCOMPUTATIONAL STATISTICS & DATA ANALYSIS 129, 119-134
2012Identifying Differential Gene Sets using the Linear Combination of Genes with Maximum AUCWang, Zhanfeng; Tsai, Chen-An; Chang, Y-c. I. Journal of Proteomics & Bioinformatics 5, 3, 073 -- 083
2004Kernel-based discriminant techniques for educational placement.Lin, M. H.; Huang, S. Y. ; Chang, Y. -C. I. Journal of educational and behavioral statistics 29(2), 219-240
2011Markers selection via maximizing the partial area under ROC curve of linear risk scoresWang, Zhan-Feng; Chang, Y-c. I. Biostatistics 12, 386-398
2013Maximizing an ROC-type measure via linear combination of markers when the gold reference is continuousChang, Yuan-chin Ivan STATISTICS IN MEDICINE 32, 11, 1893 -1903
2009Meta-learning for Imbalanced Data and Classification Ensemble in Binary ClassificationLin, Sung-Chiang; Chang, Yuan-chin Ivan ; Yang, W-LNEUROCOMPUTING 484-494
2013Multiple-stage sampling procedure for covariate-adjusted response-adaptive designsPark, Eunsik; Chang, Y-c. I. STATISTICAL METHODS IN MEDICAL RESEARCH  
2010Online Calibration Via Variable Length Computerized Adaptive TestingChang, Y-c. I ; Lu, Hung-YiPsychometrika 140 -- 157
2011Optimal sampling in retrospective logistic regression via two-stage methodChien, C-Y.; Chang, Y-c. I. ; Hsueh, H-M.Biometrical Journal 53, 5-18
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