Critical Factors of ERP Adoption for Small- and Medium-Sized Enterprises: An Empirical Study. - Shin-Yuan Hung; She-I Chang; Pei-Ju Lee (PACIS, 2004)

Critical Factors of ERP Adoption for Small- and Medium- Sized Enterprises: An Empirical Study. - She-I Chang; Shin-Yuan Hung; David C. Yen; Pei-Ju Lee (J. Glob. Inf. Manag., 2010)

Scalable target detection for large robot teams. - Huadong Wang; Andreas Kolling; Nathan Brooks; Sean Owens; Shafiq Abedin; Paul Scerri; Pei-Ju Lee; Shih Yi Chien; Michael Lewis 001; Katia P. Sycara (HRI, 2011)

Cumulative vs. local models of operator utilization describing an air traffic control task. - Pei-Ju Lee; Andreas Kolling; Huadong Wang; Shih Yi Chien; Michael Lewis 001 (SMC, 2011)

An Initial Evaluation of Approaches to Building Entry for Large Robot Teams. - Paul Scerri; Zheng Ma; Shih Yi Chien; Huadong Wang; Pei-Ju Lee; Michael Lewis 001; Katia P. Sycara (J. Intell. Robotic Syst., 2011)

Collaborative Information Sensemaking for Multi-Robot Search and Rescue. - Vladimir Zadorozhny; Pei-Ju Lee; Michael Lewis 001 (ISCRAM, 2015)

Information Fusion Using Characteristic Linear System in Multi-robot Search and Rescue Task. - Pei-Ju Lee; Vladimir Zadorozhny (IRI, 2016)

Hotel Recommendation System based on Review and Context Information: a Collaborative filtering Appro. - Ya-Han Hu; Pei-Ju Lee; Kuanchin Chen; J. Michael Tarn; Duyen-Vi Dang (PACIS, 2016)

Subject-relevant Document Recommendation: A Reference Topic-Based Approach. - Yen-Hsien Lee; Ya-Han Hu; Wan-Chih Hsieh; Pei-Ju Lee (PACIS, 2017)

The effect of user-controllable filters on the prediction of online hotel reviews. - Ya-Han Hu; Kuanchin Chen; Pei-Ju Lee (Inf. Manag., 2017)

Cyberbullying Detection on Social Network Services. - Pei-Ju Lee; Ya-Han Hu; Kuanchin Chen; J. Michael Tarn; Lien-En Cheng (PACIS, 2018)

Attention allocation for human multi-robot control: Cognitive analysis based on behavior data and hidden states. - Shih Yi Chien; Yi-Ling Lin; Pei-Ju Lee; Shuguang Han; Michael Lewis 001; Katia P. Sycara (Int. J. Hum. Comput. Stud., 2018)

Assessing the helpfulness of online hotel reviews: A classification-based approach. - Pei-Ju Lee; Ya-Han Hu; Kuan-Ting Lu (Telematics Informatics, 2018)

A Medical Decision Support System Using Text Mining to Compare Electronic Medical Records. - Pei-Ju Lee; Yen-Hsien Lee; Yihuang Kang; Ching-Ping Chao (HCI (24), 2019)

Towards Interpretable Deep Extreme Multi-Label Learning. - Yihuang Kang; I-Ling Cheng; Wenjui Mao; Bowen Kuo; Pei-Ju Lee (IRI, 2019)

Medication Use and the Risk of Newly Diagnosed Diabetes in Patients with Epilepsy: A Data Mining Application on a Healthcare Database. - Sheng-Feng Sung; Pei-Ju Lee; Cheng-Yang Hsieh; Wan-Lun Zheng (J. Organ. End User Comput., 2020)

Mining relations between personality traits and learning styles. - Pei-Ju Lee; Ting-Yi Wu (Inf. Process. Manag., 2022)

Poster:Stock Price Prediction Using Machine Learning. - Kuan-Yu Chen; Pei-Ju Lee; Shang-Chien Liu (ICDCS, 2023)

Subgroup Analysis via Model-based Rule Forest. - I-Ling Cheng; Chan Hsu; Chan-Tung Ku; Pei-Ju Lee; Yihuang Kang (CoRR, 2024)

Hotel Rating Prediction System Based on Time Factors: Using Reviews and Sentiment Analysis. - Pei-Hua Lee; Yu-Kai Sun; Yin-Pei Ke; Pei-Ju Lee (J. Organ. End User Comput., 2024)