Graphical Features Selection Method. - Yuan-chin Ivan Chang; Haoran Hsu; Lin-Yi Chou (IDEAL, 2002)

Synergy of Logistic Regression and Support Vector Machine in Multiple-Class Classification. - Yuan-chin Ivan Chang; Sung-Chiang Lin (IDEAL, 2004)

A parsimonious threshold-independent protein feature selection method through the area under receiver operating characteristic curve. - Zhanfeng Wang; Yuan-chin Ivan Chang; Zhiliang Ying; Liang Zhu; Yaning Yang (Bioinform., 2007)

A stochastic approximation view of boosting. - C. Andy Tsao; Yuan-chin Ivan Chang (Comput. Stat. Data Anal., 2007)

Meta-learning for imbalanced data and classification ensemble in binary classification. - Sung-Chiang Lin; Yuan-chin Ivan Chang; Wei-Ning Yang (Neurocomputing, 2009)

Early stopping in L2Boosting. - Yuan-chin Ivan Chang; Yufen Huang; Yu-Pai Huang (Comput. Stat. Data Anal., 2010)

Assessing the diagnostic power of variables measured with a detection limit. - Bochao Jia; Yuan-chin Ivan Chang; Zhanfeng Wang (Comput. Stat., 2016)

Multiple-class classification: Ordinal and categorical labels. - Yuan-chin Ivan Chang (Commun. Stat. Simul. Comput., 2017)

Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation. - Wan-Ping Nicole Chen; Yuan-chin Ivan Chang (CoRR, 2019)

Active learning for binary classification with variable selection. - Zhanfeng Wang; Yumi Kwon; Yuan-chin Ivan Chang (CoRR, 2019)

Greedy active learning algorithm for logistic regression models. - Hsiang-Ling Hsu; Yuan-chin Ivan Chang; Ray-Bing Chen (Comput. Stat. Data Anal., 2019)

Active learning with simultaneous subject and variable selections. - Yuan-chin Ivan Chang; Ray-Bing Chen (Neurocomputing, 2019)

Active learning in multiple-class classification problems via individualized binary models. - Jingjing Li; Zimu Chen; Zhanfeng Wang; Yuan-chin Ivan Chang (Comput. Stat. Data Anal., 2020)

A Model-Free Subject Selection Method for Active Learning Classification Procedures. - Bo-Shiang Ke; Yuan-chin Ivan Chang (J. Classif., 2021)

Determination of class-specific variables in nonparametric multiple-class classification. - Wan-Ping Nicole Chen; Yuan-chin Ivan Chang (CoRR, 2022)

Distributed sequential federated learning. - Zhanfeng Wang; Xinyu Zhang; Yuan-chin Ivan Chang (CoRR, 2023)

Active learning with logistic models featuring simultaneous variable and subject selection. - Zhanfeng Wang; Amy M. Kwon; Yuan-chin Ivan Chang (Commun. Stat. Simul. Comput., 2024)