Yuan-chin Ivan Chang

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 10

Top Topics

Active Learning

Variable Selection

Logistic Regression

Supervised Classifiers

Top Venues

Comput. Stat. Data Anal.

Commun. Stat. Simul. Comput.

Publications

Zhanfeng Wang, Amy M. Kwon, Yuan-chin Ivan Chang
Active learning with logistic models featuring simultaneous variable and subject selection. Commun. Stat. Simul. Comput. 53 (2) (2024)
Wan-Ping Nicole Chen, Yuan-chin Ivan Chang
Determination of class-specific variables in nonparametric multiple-class classification. CoRR (2022)
Bo-Shiang Ke, Yuan-chin Ivan Chang
A Model-Free Subject Selection Method for Active Learning Classification Procedures. J. Classif. 38 (3) (2021)
Jingjing Li, Zimu Chen, Zhanfeng Wang, Yuan-chin Ivan Chang
Active learning in multiple-class classification problems via individualized binary models. Comput. Stat. Data Anal. 145 (2020)
Hsiang-Ling Hsu, Yuan-chin Ivan Chang, Ray-Bing Chen
Greedy active learning algorithm for logistic regression models. Comput. Stat. Data Anal. 129 (2019)
Zhanfeng Wang, Yumi Kwon, Yuan-chin Ivan Chang
Active learning for binary classification with variable selection. CoRR (2019)
Wan-Ping Nicole Chen, Yuan-chin Ivan Chang
Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation. CoRR (2019)
Yuan-chin Ivan Chang, Ray-Bing Chen
Active learning with simultaneous subject and variable selections. Neurocomputing 329 (2019)
Yuan-chin Ivan Chang
Multiple-class classification: Ordinal and categorical labels. Commun. Stat. Simul. Comput. 46 (10) (2017)
Bochao Jia, Yuan-chin Ivan Chang, Zhanfeng Wang
Assessing the diagnostic power of variables measured with a detection limit. Comput. Stat. 31 (4) (2016)
Yuan-chin Ivan Chang, Yufen Huang, Yu-Pai Huang
Boosting. Comput. Stat. Data Anal. 54 (10) (2010)
Sung-Chiang Lin, Yuan-chin Ivan Chang, Wei-Ning Yang
Meta-learning for imbalanced data and classification ensemble in binary classification. Neurocomputing 73 (1-3) (2009)
C. Andy Tsao, Yuan-chin Ivan Chang
A stochastic approximation view of boosting. Comput. Stat. Data Anal. 52 (1) (2007)
Zhanfeng Wang, Yuan-chin Ivan Chang, Zhiliang Ying, Liang Zhu, Yaning Yang
A parsimonious threshold-independent protein feature selection method through the area under receiver operating characteristic curve. Bioinform. 23 (20) (2007)
Yuan-chin Ivan Chang, Sung-Chiang Lin
Synergy of Logistic Regression and Support Vector Machine in Multiple-Class Classification. IDEAL (2004)
Yuan-chin Ivan Chang, Haoran Hsu, Lin-Yi Chou
Graphical Features Selection Method. IDEAL (2002)