Ontology-Based Automatic Chief Complaints Classification for Syndromic Surveillance. - Hsin-Min Lu; Daniel Zeng 001; Hsinchun Chen (SMC, 2006)

Chinese Chief Complaint Classification for Syndromic Surveillance. - Hsin-Min Lu; Chwan-Chuen King; Tsung-Shu Joseph Wu; Fuh-Yuan Shih; Jin-Yi Hsiao; Daniel Dajun Zeng; Hsinchun Chen (BioSurveillance, 2007)

Medical Ontology-Enhanced Text Processing for Infectious Disease Informatics. - Hsin-Min Lu; Daniel Dajun Zeng; Hsinchun Chen (ISI, 2007)

Bioterrorism event detection based on the Markov switching model: A simulated anthrax outbreak study. - Hsin-Min Lu; Daniel Zeng 001; Hsinchun Chen (ISI, 2008)

Ontology-enhanced automatic chief complaint classification for syndromic surveillance. - Hsin-Min Lu; Daniel Zeng 001; Lea Trujillo; Ken Komatsu; Hsinchun Chen (J. Biomed. Informatics, 2008)

Risk Statement Recognition in News Articles. - Hsin-Min Lu; Nina WanHsin Huang; Shu-Hsing Li; Tsai-Jyh Chen (ICIS, 2009)

Identifying Firm-Specific Risk Statements in News Articles. - Hsin-Min Lu; Nina WanHsin Huang; Zhu Zhang; Tsai-Jyh Chen (PAISI, 2009)

Multilingual chief complaint classification for syndromic surveillance: An experiment with Chinese chief complaints. - Hsin-Min Lu; Hsinchun Chen; Daniel Dajun Zeng; Chwan-Chuen King; Fuh-Yuan Shih; Tsung-Shu Joseph Wu; Jin-Yi Hsiao (Int. J. Medical Informatics, 2009)

The Effects of News Sentiment and Coverage on Credit Rating Analysis. - Feng-Tse Tsai; Hsin-Min Lu; Mao-Wei Hung (PACIS, 2010)

Prospective Infectious Disease Outbreak Detection Using Markov Switching Models. - Hsin-Min Lu; Daniel Zeng 001; Hsinchun Chen (IEEE Trans. Knowl. Data Eng., 2010)

Surveillance in the Information Age: Text Quantification, Anomaly Detection, and Empirical Evaluation. - Hsin-Min Lu (2010)

Giving context to accounting numbers: The role of news coverage. - Kuo-Tay Chen; Hsin-Min Lu; Tsai-Jyh Chen; Shu-Hsing Li; Jian-Shuen Lian; Hsinchun Chen (Decis. Support Syst., 2011)

Using burst detection techniques to identify suspicious vehicular traffic at border crossings. - Siddharth Kaza; Hsin-Min Lu; Daniel Zeng 001; Hsinchun Chen (ISI, 2012)

Firm Website And Cost Of Equity. - Hsin-Min Lu; Yu-Tai Chien (PACIS, 2012)

Credit Rating Change Modeling Using News and Financial Ratios. - Hsin-Min Lu; Feng-Tse Tsai; Hsinchun Chen; Mao-Wei Hung; Shu-Hsing Li (ACM Trans. Manag. Inf. Syst., 2012)

SilverLink: Smart Home Health Monitoring for Senior Care. - Joshua Chuang; Lubaina Maimoon; Shuo Yu 002; Hongyi Zhu; Casper Nybroe; Owen Hsiao; Shu-Hsing Li; Hsin-Min Lu; Hsinchun Chen (ICSH, 2015)

Detecting short-term cyclical topic dynamics in the user-generated content and news. - Hsin-Min Lu (Decis. Support Syst., 2015)

A Twitter Hashtag Recommendation Model that Accommodates for Temporal Clustering Effects. - Hsin-Min Lu; Chien-Hua Lee (IEEE Intell. Syst., 2015)

Firm websites and the risk of firm. - Yu-Tai Chien; Hsin-Min Lu (Ind. Manag. Data Syst., 2015)

SilverLink: Developing an International Smart and Connected Home Monitoring System for Senior Care. - Lubaina Maimoon; Joshua Chuang; Hongyi Zhu; Shuo Yu 002; Kuo-Shiuan Peng; Rahul Prayakarao; Jie Bai; Daniel Dajun Zeng; Shu-Hsing Li; Hsin-Min Lu; Hsinchun Chen (ICSH, 2016)

Stock Prediction via Sentiment and Online Social Status. - Jih-Shin Chen; Hsin-Min Lu (PACIS, 2016)

Modeling healthcare data using multiple-channel latent Dirichlet allocation. - Hsin-Min Lu; Chih-Ping Wei; Fei-Yuan Hsiao (J. Biomed. Informatics, 2016)

Mining Disease Transmission Networks from Health Insurance Claims. - Hsin-Min Lu; Yu-Ching Chang (ICSH, 2017)

From Street Photos to Fashion Trends: Leveraging User-Provided Noisy Labels for Fashion Understanding. - Fu-Hsien Huang; Hsin-Min Lu; Yao-Wen Hsu (IEEE Access, 2021)

Nonparametric Regression via Variance-Adjusted Gradient Boosting Gaussian Process Regression. - Hsin-Min Lu; Jih-Shin Chen; Wei-Chun Liao (IEEE Trans. Knowl. Data Eng., 2021)

Multiscale Global and Regional Feature Learning Using Co-Tuplet Loss for Offline Handwritten Signature Verification. - Fu-Hsien Huang; Hsin-Min Lu (CoRR, 2023)

Noise-Robust Readability for Corporate Disclosures. - Fu-Hsien Huang; Hsin-Min Lu; Yu-Hsuan Chuang; Chi Ai Wu (PACIS, 2024)