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ORCIDYuan-chin Ivan Chang
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- affiliation: Academia Sinica, Taipei, Taiwan
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2020 – today
- 2024
[j11]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): 897-911 (2024)- 2023
- [i4]Zhanfeng Wang, Xinyu Zhang, Yuan-chin Ivan Chang:
Distributed sequential federated learning. CoRR abs/2302.00107 (2023) - 2022
- [i3]Wan-Ping Nicole Chen, Yuan-chin Ivan Chang:
Determination of class-specific variables in nonparametric multiple-class classification. CoRR abs/2205.03623 (2022) - 2021
- [j10]Bo-Shiang Ke, Yuan-chin Ivan Chang
:
A Model-Free Subject Selection Method for Active Learning Classification Procedures. J. Classif. 38(3): 544-555 (2021) - 2020
- [j9]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: 106911 (2020)
2010 – 2019
- 2019
- [j8]Hsiang-Ling Hsu, Yuan-chin Ivan Chang, Ray-Bing Chen:
Greedy active learning algorithm for logistic regression models. Comput. Stat. Data Anal. 129: 119-134 (2019) - [j7]Yuan-chin Ivan Chang, Ray-Bing Chen:
Active learning with simultaneous subject and variable selections. Neurocomputing 329: 495-505 (2019) - [i2]Wan-Ping Nicole Chen, Yuan-chin Ivan Chang:
Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation. CoRR abs/1901.01000 (2019) - [i1]Zhanfeng Wang, Yumi Kwon, Yuan-chin Ivan Chang:
Active learning for binary classification with variable selection. CoRR abs/1901.10079 (2019) - 2017
- [j6]Yuan-chin Ivan Chang:
Multiple-class classification: Ordinal and categorical labels. Commun. Stat. Simul. Comput. 46(10): 7561-7581 (2017) - 2016
- [j5]Bochao Jia, Yuan-chin Ivan Chang, Zhanfeng Wang:
Assessing the diagnostic power of variables measured with a detection limit. Comput. Stat. 31(4): 1287-1303 (2016) - 2010
- [j4]Yuan-chin Ivan Chang, Yufen Huang, Yu-Pai Huang:
Early stopping in L2Boosting. Comput. Stat. Data Anal. 54(10): 2203-2213 (2010)
2000 – 2009
- 2009
- [j3]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): 484-494 (2009) - 2007
- [j2]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): 2788-2794 (2007) - [j1]C. Andy Tsao, Yuan-chin Ivan Chang:
A stochastic approximation view of boosting. Comput. Stat. Data Anal. 52(1): 325-334 (2007) - 2004
- [c2]Yuan-chin Ivan Chang, Sung-Chiang Lin:
Synergy of Logistic Regression and Support Vector Machine in Multiple-Class Classification. IDEAL 2004: 132-141 - 2002
- [c1]Yuan-chin Ivan Chang, Haoran Hsu, Lin-Yi Chou:
Graphical Features Selection Method. IDEAL 2002: 475-480
Coauthor Index
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