Issue Date | Title | Author(s) | Relation | scopus | WOS | Fulltext/Archive link |
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 | | | |
2020 | Two-stage dimension reduction for noisy high-dimensional images and application to Cryogenic Electron Microscopy | Szu-Chi Chung; Shao-Hsuan Wang; Po-Yao Niu; Su-Yun Huang ; Wei-Hau Chang; I-Ping Tu | Annals of Mathematical Sciences and Applications 5(2), 283-316 | | | |