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2020 – today
- 2024
[i2]I-Ling Cheng, Chan Hsu, Chan-Tung Ku, Pei-Ju Lee, Yihuang Kang:
Subgroup Analysis via Model-based Rule Forest. CoRR abs/2408.15057 (2024)- 2023
- [c11]Kuan-Yu Chen, Pei-Ju Lee, Shang-Chien Liu:
Poster:Stock Price Prediction Using Machine Learning. ICDCS 2023: 1067-1068 - 2022
- [j7]Pei-Ju Lee, Ting-Yi Wu:
Mining relations between personality traits and learning styles. Inf. Process. Manag. 59(5): 103045 (2022) - 2020
- [j6]Sheng-Feng Sung, Pei-Ju Lee, Cheng-Yang Hsieh
, Wan-Lun Zheng:
Medication Use and the Risk of Newly Diagnosed Diabetes in Patients with Epilepsy: A Data Mining Application on a Healthcare Database. J. Organ. End User Comput. 32(2): 93-108 (2020)
2010 – 2019
- 2019
- [c10]Pei-Ju Lee, Yen-Hsien Lee, Yihuang Kang, Ching-Ping Chao:
A Medical Decision Support System Using Text Mining to Compare Electronic Medical Records. HCI (24) 2019: 199-208 - [c9]Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee:
Towards Interpretable Deep Extreme Multi-Label Learning. IRI 2019: 69-74 - [i1]Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee:
Towards Interpretable Deep Extreme Multi-label Learning. CoRR abs/1907.01723 (2019) - 2018
- [j5]Shih Yi Chien, Yi-Ling Lin, Pei-Ju Lee, Shuguang Han, Michael Lewis, Katia P. Sycara:
Attention allocation for human multi-robot control: Cognitive analysis based on behavior data and hidden states. Int. J. Hum. Comput. Stud. 117: 30-44 (2018) - [j4]Pei-Ju Lee, Ya-Han Hu, Kuan-Ting Lu:
Assessing the helpfulness of online hotel reviews: A classification-based approach. Telematics Informatics 35(2): 436-445 (2018) - [c8]Pei-Ju Lee, Ya-Han Hu, Kuanchin Chen, J. Michael Tarn, Lien-En Cheng:
Cyberbullying Detection on Social Network Services. PACIS 2018: 61 - 2017
- [j3]Ya-Han Hu, Kuanchin Chen, Pei-Ju Lee:
The effect of user-controllable filters on the prediction of online hotel reviews. Inf. Manag. 54(6): 728-744 (2017) - [c7]Yen-Hsien Lee, Ya-Han Hu, Wan-Chih Hsieh, Pei-Ju Lee:
Subject-relevant Document Recommendation: A Reference Topic-Based Approach. PACIS 2017: 155 - 2016
- [c6]Pei-Ju Lee, Vladimir Zadorozhny:
Information Fusion Using Characteristic Linear System in Multi-robot Search and Rescue Task. IRI 2016: 394-400 - [c5]Ya-Han Hu, Pei-Ju Lee, Kuanchin Chen, J. Michael Tarn, Duyen-Vi Dang:
Hotel Recommendation System based on Review and Context Information: a Collaborative filtering Appro. PACIS 2016: 221 - 2015
- [c4]Vladimir Zadorozhny, Pei-Ju Lee, Michael Lewis:
Collaborative Information Sensemaking for Multi-Robot Search and Rescue. ISCRAM 2015 - 2011
- [j2]Paul Scerri, Zheng Ma, Shih Yi Chien, Huadong Wang, Pei-Ju Lee, Michael Lewis, Katia P. Sycara:
An Initial Evaluation of Approaches to Building Entry for Large Robot Teams. J. Intell. Robotic Syst. 64(2): 145-159 (2011) - [c3]Huadong Wang, Andreas Kolling, Nathan Brooks, Sean Owens, Shafiq Abedin, Paul Scerri, Pei-Ju Lee, Shih Yi Chien, Michael Lewis, Katia P. Sycara:
Scalable target detection for large robot teams. HRI 2011: 363-370 - [c2]Pei-Ju Lee, Andreas Kolling, Huadong Wang, Shih Yi Chien, Michael Lewis:
Cumulative vs. local models of operator utilization describing an air traffic control task. SMC 2011: 2836-2841 - 2010
- [j1]She-I Chang, Shin-Yuan Hung, David C. Yen, Pei-Ju Lee:
Critical Factors of ERP Adoption for Small- and Medium- Sized Enterprises: An Empirical Study. J. Glob. Inf. Manag. 18(3): 82-106 (2010)
2000 – 2009
- 2004
- [c1]Shin-Yuan Hung, She-I Chang, Pei-Ju Lee:
Critical Factors of ERP Adoption for Small- and Medium-Sized Enterprises: An Empirical Study. PACIS 2004: 57
Coauthor Index
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