|
|
???tair.name??? >
???browser.page.title.author???
|
"shih arthur chun chieh"???jsp.browse.items-by-author.description???
Showing items 1-7 of 7 (1 Page(s) Totally)
1
View [10|25|50] records per page
| 臺大學術典藏 |
2018-09-10T09:18:02Z |
Revealing the anti-tumor effect of artificial miRNA p-27-5p on human breast carcinoma cell line T-47D
|
Juan, Hsueh-Fen;Li, Wen-Hsiung;Chang, Jen-Yun;Hsu, Chung-Cheng;Chang, Ya-Ya;Shih, Arthur Chun-Chieh;Huang, Hsuan-Cheng;HSUEH-FEN JUAN;Tseng, Chien-Wei;Juan, Hsueh-Fen;Huang, Hsuan-Cheng;Tseng, Chien-Wei;Shih, Arthur Chun-Chieh;Chang, Ya-Ya;Hsu, Chung-Cheng;Chang, Jen-Yun;Li, Wen-Hsiung; Li, Wen-Hsiung; Chang, Jen-Yun; Hsu, Chung-Cheng; Chang, Ya-Ya; Shih, Arthur Chun-Chieh; Tseng, Chien-Wei; Huang, Hsuan-Cheng; Juan, Hsueh-Fen |
| 國立交通大學 |
2014-12-08T15:24:58Z |
Understanding human behavior using a language modeling approach
|
Liang, Yu-Ming; Shih, Sheng-Wen; Shih, Arthur Chun-Chieh; Liao, Hong-Yuan Mark |
| 國立交通大學 |
2014-12-08T15:23:31Z |
Unsupervised Analysis of Human Behavior Based on Manifold Learning
|
Liang, Yu-Ming; Shih, Sheng-Wen; Shih, Arthur Chun-Chieh; Liao, Hong-Yuan Mark; Lin, Cheng-Chung |
| 國立交通大學 |
2014-12-08T15:15:40Z |
A language modeling approach to atomic human action recognition
|
Liang, Yu-Ming; Shih, Sheng-Wen; Shih, Arthur Chun-Chieh; Liao, Hong-Yuan Mark; Lin, Cheng-Chung |
| 國立交通大學 |
2014-12-08T15:10:03Z |
Learning Atomic Human Actions Using Variable-Length Markov Models
|
Liang, Yu-Ming; Shih, Sheng-Wen; Shih, Arthur Chun-Chieh; Liao, Hong-Yuan Mark; Lin, Cheng-Chung |
| 國立成功大學 |
2013-09-03 |
Assembler for de novo assembly of large genomes
|
Chu, Te-Chin; Lu, Chen-Hua; Liu, Tsunglin; Lee, Greg C.; Li, Wen-Hsiung; Shih, Arthur Chun-Chieh |
| 國立臺灣大學 |
2012 |
Revealing the Anti-Tumor Effect of Artificial miRNA p-27-5p on Human Breast Carcinoma Cell Line T-47D
|
Tseng, Chien-Wei; Huang, Hsuan-Cheng; Shih, Arthur Chun-Chieh; Chang, Ya-Ya; Hsu, Chung-Cheng; Chang, Jen-Yun; Li, Wen-Hsiung; Juan, Hsueh-Fen |
Showing items 1-7 of 7 (1 Page(s) Totally)
1
View [10|25|50] records per page
|
