Analysis and Enhancement of Conditional Random Fields Gene Mention Taggers in BioCreative II Challenge Evaluation. - Yu-Ming Chang; Cheng-Ju Kuo; Han-Shen Huang; Yu-Shi Lin; Chun-Nan Hsu (LBM (Short Papers), 2007)

Integrating high dimensional bi-directional parsing models for gene mention tagging. - Chun-Nan Hsu; Yu-Ming Chang; Cheng-Ju Kuo; Yu-Shi Lin; Han-Shen Huang; I-Fang Chung (ISMB, 2008)

BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literature. - Cheng-Ju Kuo; Maurice H. T. Ling; Kuan-Ting Lin; Chun-Nan Hsu (BMC Bioinform., 2009)

Learning Phenotype Mapping for Integrating Large Genetic Data. - Chun-Nan Hsu; Cheng-Ju Kuo; Congxing Cai; Sarah A. Pendergrass; Marylyn D. Ritchie; José Luis Ambite (BioNLP@ACL, 2011)

Assessment of NER solutions against the first and second CALBC Silver Standard Corpus. - Dietrich Rebholz-Schuhmann; Antonio Jimeno-Yepes; Chen Li 011; Senay Kafkas; Ian Lewin; Ning Kang 002; Peter T. Corbett; David Milward; Ekaterina Buyko; Elena Beisswanger; Kerstin Hornbostel; Alexandre Kouznetsov; et al. (J. Biomed. Semant., 2011)

Soft tagging of overlapping high confidence gene mention variants for cross-species full-text gene normalization. - Cheng-Ju Kuo; Maurice H. T. Ling; Chun-Nan Hsu (BMC Bioinform., 2011)

The gene normalization task in BioCreative III. - Zhiyong Lu; Hung-Yu Kao; Chih-Hsuan Wei; Minlie Huang; Jingchen Liu; Cheng-Ju Kuo; Chun-Nan Hsu; Richard Tzong-Han Tsai; Hong-Jie Dai; Naoaki Okazaki; Han-Cheol Cho; Martin Gerner; et al. (BMC Bioinform., 2011)

The RFID-based real-time monitoring system and the management algorithm of RFIDs. - Cheng-Ju Kuo; Kuo-Cheng Ting; Jia-Ching Ying; Shyr-Kuen Chen; Yi-Chung Chen (ICMLC, 2017)

Automatic machine status prediction in the era of Industry 4.0: Case study of machines in a spring factory. - Cheng-Ju Kuo; Kuo-Cheng Ting; Yi-Chung Chen; Don-Lin Yang; Hsi-Min Chen (J. Syst. Archit., 2017)

A Labor-Efficient GAN-based Model Generation Scheme for Deep-Learning Defect Inspection among Dense Beans in Coffee Industry. - Cheng-Ju Kuo; Chao-Chun Chen; Tzu-Ting Chen; Zhi-Jing Tsai; Min-Hsiung Hung; Yu-Chuan Lin; Yi-Chung Chen; Ding-Chau Wang; Gwo-Jiun Homg; Wei-Tsung Su (CASE, 2019)

Improving Defect Inspection Quality of Deep-Learning Network in Dense Beans by Using Hough Circle Transform for Coffee Industry. - Cheng-Ju Kuo; Chao-Chun Chen; Ding-Chau Wang; Tzu-Ting Chen; Yung-Chien Chou; Mao-Yuan Pai; Gwo-Jiun Horng; Min-Hsiung Hung; Yu-Chuan Lin; Tz-Heng Hsu (SMC, 2019)

SE-U-Net: Contextual Segmentation by Loosely Coupled Deep Networks for Medical Imaging Industry. - Lin-Yi Jiang; Cheng-Ju Kuo; Tang-Hsuan O; Min-Hsiung Hung; Chao-Chun Chen (ACIIDS, 2021)

A Transparently-Secure and Robust Stock Data Supply Framework for Financial-Technology Applications. - Lin-Yi Jiang; Cheng-Ju Kuo; Yu-Hsin Wang; Mu-En Wu; Wei-Tsung Su; Ding-Chau Wang; Tang-Hsuan O; Chi-Luen Fu; Chao-Chun Chen (ACIIDS, 2021)

Development of Lightweight RBF-DRNN and Automated Framework for CNC Tool-Wear Prediction. - Sheng-Min Chiu; Yi-Chung Chen; Cheng-Ju Kuo; Li-Chun Hung; Min-Hsiung Hung; Chao-Chun Chen; Chiang Lee (IEEE Trans. Instrum. Meas., 2022)