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Journal Articles
- 2021
[j10]Wen-Hsien Ho, Tian-Hsiang Huang, Po-Yuan Yang
, Jyh-Horng Chou, Jin-Yi Qu, Po-Chih Chang, Fu-I Chou, Jinn-Tsong Tsai:
Robust optimization of convolutional neural networks with a uniform experiment design method: a case of phonocardiogram testing in patients with heart diseases. BMC Bioinform. 22-S(5): 92 (2021)- [j9]Cai Wu, Maxwell Hwang, Tian-Hsiang Huang, Yenming J. Chen, Yiu-Jen Chang, Tsung-Han Ho, Jian Huang, Kao-Shing Hwang, Wen-Hsien Ho:
Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation. BMC Bioinform. 22-S(5): 93 (2021) - [j8]Wen-Hsien Ho, Tian-Hsiang Huang, Po-Yuan Yang, Jyh-Horng Chou, Hong-Siang Huang, Li-Chung Chi, Fu-I Chou, Jinn-Tsong Tsai:
Artificial intelligence classification model for macular degeneration images: a robust optimization framework for residual neural networks. BMC Bioinform. 22-S(5): 148 (2021) - [j7]Wen-Hsien Ho, Tian-Hsiang Huang, Yenming J. Chen, Lang-Yin Zeng, Fen-Fen Liao, Yeong-Cheng Liou:
Prediction of vancomycin initial dosage using artificial intelligence models applying ensemble strategy. BMC Bioinform. 22-S(5): 637 (2021) - [j6]Chen-Sen Ouyang, Yenming J. Chen, Jinn-Tsong Tsai, Yiu-Jen Chang, Tian-Hsiang Huang, Kao-Shing Hwang, Yuan-Chih Ho, Wen-Hsien Ho:
Data mining analysis of the influences of electrocardiogram P-wave morphology parameters on atrial fibrillation. J. Intell. Fuzzy Syst. 40(4): 7901-7908 (2021) - 2013
- [j5]Hei-Chia Wang, Tian-Hsiang Huang:
Personalized e-learning environment for bioinformatics. Interact. Learn. Environ. 21(1): 18-38 (2013) - 2011
- [j4]Hei-Chia Wang, Tian-Hsiang Huang, Chia-Tzung Liu:
Automatic Summarization Based On Automaticallyinduced Ontology. Intell. Autom. Soft Comput. 17(4): 447-463 (2011) - [j3]Vladimir Nikulin, Tian-Hsiang Huang, Geoffrey J. McLachlan:
Classification of High-Dimensional microarray Data with a Two-Step Procedure via a Wilcoxon Criterion and Multilayer Perceptron. Int. J. Comput. Intell. Appl. 10(1): 1-14 (2011) - 2009
- [j2]Hei-Chia Wang, Tian-Hsiang Huang:
Prediction of EST Functional Relationships via Literature Mining With User-Specified Parameters. IEEE Trans. Biomed. Eng. 56(4): 969-977 (2009) - 2006
- [j1]Hei-Chia Wang, Yi-Shiun Lee, Tian-Hsiang Huang:
Gene Relation Finding Through Mining Microarray Data and Literature. Trans. Comp. Sys. Biology 5: 83-96 (2006)
Conference and Workshop Papers
- 2022
- [c10]Tian-Hsiang Huang, Jia-Yu Guo, Meng-Heng Hsieh, Liang-Bi Chen:
Information System Architecture and APP for Passenger Notification of Specific Events in MRT Cabins Based on Artificial Intelligence Assistance. ICCE-TW 2022: 371-372 - 2016
- [c9]Tian-Hsiang Huang, Liang-Bi Chen:
Decision support for the QoS-aware 4G mobile networks through data mining. GCCE 2016: 1-2 - [c8]Tian-Hsiang Huang, Vladimir Nikulin, Liang-Bi Chen:
Detection of Abnormalities in Driving Style Based on Moving Object Trajectories without Labels. IIAI-AAI 2016: 675-680 - [c7]Jain-Shing Wu, Xiangning Chen, Tian-Hsiang Huang:
Discovering the Hidden Connections between Genes and Proteins from the Undiscovered Public Literature. MISNC 2016: 46 - 2015
- [c6]Vladimir Nikulin, Tian-Hsiang Huang, Jian-De Lu:
Mining Shoppers Data Streams to Predict Customers Loyalty. ISKE 2015: 26-33 - 2014
- [c5]Tian-Hsiang Huang, Vladimir Nikulin:
Two Algorithms Under Stochastic Gradient Descent Framework for Recommender Systems. PAKDD Workshops 2014: 219-230 - 2013
- [c4]Vladimir Nikulin, Aneesha Bakharia, Tian-Hsiang Huang:
On the Evaluation of the Homogeneous Ensembles with CV-Passports. PAKDD Workshops 2013: 109-120 - 2012
- [c3]Vladimir Nikulin, Tian-Hsiang Huang:
Unsupervised dimensionality reduction via gradient-based matrix factorization with two adaptive learning rates. ICML Unsupervised and Transfer Learning 2012: 181-194 - 2010
- [c2]Vladimir Nikulin, Tian-Hsiang Huang, Geoffrey J. McLachlan:
A comparative study of two matrix factorization methods applied to the classification of gene expression data. BIBM 2010: 618-621 - 2009
- [c1]Hei-Chia Wang, Tian-Hsiang Huang, Jiunn-Liang Guo, Shu-Chuan Li:
Journal Article Topic Detection Based on Semantic Features. IEA/AIE 2009: 644-652
Informal and Other Publications
- 2010
- [i1]Vladimir Nikulin, Tian-Hsiang Huang, Shu-Kay Ng, Suren I. Rathnayake, Geoffrey J. McLachlan:
A Very Fast Algorithm for Matrix Factorization. CoRR abs/1011.0506 (2010)
Coauthor Index
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