Issue Date | Title | Author(s) | Relation | scopus | WOS | Fulltext/Archive link |
2007 | Maximum number of live births per donor in artificial insemination | Wang, Charlotte; Tsai, Miao-Yu; Lee, Mei-Hsien; Huang, Su-Yun ; Kao, Chen-Hung ; Ho, Hong-Nerng; Hsiao, Chuhsing Kate | Human Reproduction 22(5), 1363-1372 | | | |
2007 | Model selection for support vector machines via uniform design | Huang, Chien-Ming; Lee, Yuh-Jye; Lin, Dennis K. J.; Huang, Su-Yun | Computational Statistics & Data Analysis 52(1), 335-346 | | | |
2010 | Multiclass support vector classification via coding and regression | Chen, P. C.; Lee, K. Y.; Lee, T. J.; Lee, Y. J.; Huang, S. Y. | NEUROCOMPUTING 73, 1501-1512 | | | |
2009 | Nonlinear dimension reduction with kernel sliced inverse regression | Yeh, Y. R.; Huang, S. Y. ; Lee, Y. J. | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 21, 1590-1603 | | | |
2009 | Nonlinear measures of association with kernel canonical correlation analysis and applications | Huang, S. Y. ; Lee, M. H.; Hsiao, C. K. | Journal of Statistical Planning and Inference 139, 2162-2174 | | | |
2010 | Nonlinear Regression Analysis | Huang, H. H.; Hsiao, C. K.; Huang, S. Y. | The International Encyclopedia of Education (Oxford : Elsevier) | | | |
2020 | On asymptotic normality of cross data matrix-based PCA in high dimension low sample size | Shao-Hsuan Wang; Su-Yun Huang ; Ting-Li Chen | JOURNAL OF MULTIVARIATE ANALYSIS 175, 104556 | | | |
2012 | On multilinear principal component analysis of order-two tensors | Hung, Hung; Wu, Pei-Hsien; Tu, I-Ping ; Huang, Su-Yun | BIOMETRIKA 99(3), 569-583. | | | |
2021 | On the asymptotic normality and efficiency of Kronecker envelope principal component analysis | Shih-Hao Huang; Su-Yun Huang | JOURNAL OF MULTIVARIATE ANALYSIS 184, 104761 | | | |
2003 | Optimal volume-corrected Laplace-Metropolis method. | Huang, S. Y. ; Hsiao, C. K.; Chang, C. W. | Ann. Inst. Statist. Math. 55, 655-670 | | | |
2022 | Perturbation theory for cross data matrix-based PCA | Shao-Hsuan Wang; Su-Yun Huang | JOURNAL OF MULTIVARIATE ANALYSIS 190, 104960 | | | |
2021 | Radiomic Features at CT Can Distinguish Pancreatic Cancer from Noncancerous Pancreas | Po-Ting Chen; Dawei Chang; Huihsuan Yen; Kao-Lang Liu; Su-Yun Huang ; Holger Roth; Ming-Shiang Wu; Wei-Chih Liao; Weichung Wang | Radiology: Imaging Cancer 3(4), e210010 | | | |
2007 | Reduced support vector machines: A statistical theory | Lee, Yuh-Jye; Huang, Su-Yun | Ieee Transactions on Neural Networks 18(1), 1-13 | | | |
2022 | Robust aggregation for federated learning by minimum γ-divergence estimation | Cen-Jhih Li; Pin-Han Huang; Yi-Ting Ma; Hung Hung; Su-Yun Huang | ENTROPY 24(5), 686 | | | |
2009 | Robust kernel principal component analysis | Huang, S. Y. ; Yeh, Y. R.; Eguchi, S. | NEURAL COMPUTATION 21 | | | |
2018 | Robust mislabel logistic regression without modeling mislabel probabilities. | Hung, H; Jou, ZY; Huang, SY | Biometrics 74(1), 145-154 | | | |
2022 | Robust self-tuning semiparametric PCA for contaminated elliptical distribution | Hung Hung; Su-Yun Huang ; Shinto Eguchi | IEEE TRANSACTIONS ON SIGNAL PROCESSING 70, 5885-5897 | | | |
2019 | Sufficient dimension reduction via random-partitions for the large-p-small-n problem | Hung Hung; Su-Yun Huang | BIOMETRICS 75(1), 245-255 | | | |
2019 | Tensor decomposition for dimension reduction | Yu-Hsiang Cheng; Tzeeming Huang; Su-Yun Huang | COMPUTATIONAL STATISTICS 12(2), e1482 | | | |
2019 | The generalized degrees of freedom of multilinear principal component analysis | I-Ping Tu; Su-Yun Huang ; Dai-Ni Hsieh | JOURNAL OF MULTIVARIATE ANALYSIS 173, 26-37 | | | |