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Keng-Pei Lin
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2020 – today
- 2024
- [c22]Keng-Pei Lin, Tzu-Lin Chang, Shih-Hung Tsai, Chih-Ya Shen:
Gaming Group Formation in Social Networks of Video Game Distribution Platforms. GCCE 2024: 799-800 - [c21]Tzu-Lin Chang, Keng-Pei Lin, Zong-Shun Chen:
Automatic Short-Answer Grading with a Pseudo-Siamese Neural Network. PACIS 2024 - 2023
- [j9]Cheng-Jung Yang
, Wei-Kai Huang
Three-Dimensional Printing Quality Inspection Based on Transfer Learning with Convolutional Neural Networks. Sensors 23(1): 491 (2023) - [c20]Keng-Pei Lin, Tzu-Lin Chang, Ting-Ye Chen:
Facial Recognition in Celebrity Fan Art with Multi-Task Learning and Image Data Augmentation. GCCE 2023: 506-507 - 2020
- [j8]Cheng-Jung Yang
Importing Automated Management System to Improve the Process Efficiency of Dental Laboratories. Sensors 20(20): 5791 (2020) - [c19]Yi-Wei Chang, Yu-Kai Hsiao, Chien-Chuan Ko, Rong-Show Shen, Wei-Yang Lin, Keng-Pei Lin:
A Grading System of Pot-Phalaenopsis Orchid Using YOLO-V3 Deep Learning Model. NBiS 2020: 498-507
2010 – 2019
- 2019
- [j7]Keng-Pei Lin
The Structure-Behavior Coalescence Approach for Systems Modeling. IEEE Access 7: 8609-8620 (2019) - [c18]Keng-Pei Lin, Yi-Wei Chang, Zhi-Hong Wei, Chih-Ya Shen, Ming-Yi Chang:
A Smart Contract-Based Mobile Ticketing System with Multi-Signature and Blockchain. GCCE 2019: 231-232 - [c17]Yu-Chen Yang, Yi-Syuan Ke, Weiwei Wu, Keng-Pei Lin, Yong Jimmy Jin
Recommendation as a Service in Mergers and Acquisitions Transactions. HCI (24) 2019: 151-159 - [c16]Keng-Pei Lin, Yihuang Kang, William S. Chao:
A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems. MDM 2019: 497-500 - [c15]Yi-Wei Chang, Keng-Pei Lin, Chih-Ya Shen:
Blockchain Technology for e-Marketplace. PerCom Workshops 2019: 429-430 - 2018
- [j6]Keng-Pei Lin
Leveraging Online Word of Mouth for Personalized App Recommendation. IEEE Trans. Comput. Soc. Syst. 5(4): 1061-1070 (2018) - [c14]Yihuang Kang, Keng-Pei Lin, I-Ling Cheng
Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization. IRI 2018: 94-101 - [c13]Keng-Pei Lin, Chih-Ya Shen, William Chao:
Enriching UML from Model Multiplicity to Model Singularity with Structure-Behavior Coalescence. SMC 2018: 1970-1975 - [i1]Yihuang Kang, Keng-Pei Lin, I-Ling Cheng:
Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization. CoRR abs/1807.04386 (2018) - 2017
- [c12]Te-Ming Chang, Guo-Hsin Hu, Ming-Fu Hsu, Keng-Pei Lin:
Integration of Social Media News Mining and Text Mining Techniques to Determine a Corporate's Competitive Edge. PACIS 2017: 35 - [c11]Keng-Pei Lin, Chih-Ya Shen, Tzu-Lin Chang, Te-Min Chang:
A Consumer Review-Driven Recommender Service for Web E-Commerce. SOCA 2017: 206-210 - 2016
- [j5]Keng-Pei Lin:
Privacy-preserving kernel k-means clustering outsourcing with random transformation. Knowl. Inf. Syst. 49(3): 885-908 (2016) - [c10]Te-Min Chang, Ming-Fu Hsu, Guo-Hsin Hu, Keng-Pei Lin:
Salient corporate performance forecasting based on financial and textual information. SMC 2016: 959-964 - 2015
- [j4]Keng-Pei Lin, Yi-Wei Chang, Ming-Syan Chen
Secure support vector machines outsourcing with random linear transformation. Knowl. Inf. Syst. 44(1): 147-176 (2015) - [c9]Te-Min Chang, Chao-Hsien Sung, Guo-Hsin Hu, Ming-Fu Hsu, Keng-Pei Lin:
Identifying Highly Potential Enterprises with Social Computing on Supply Chain Networks. SmartCity 2015: 261-266 - [c8]Keng-Pei Lin, Chia-Yu Lai, Po-Cheng Chen, San-Yih Hwang:
Personalized Hotel Recommendation Using Text Mining and Mobile Browsing Tracking. SMC 2015: 191-196 - 2014
- [c7]Keng-Pei Lin, Yu-Chen Yang:
Efficient Approximation for Large-Scale Kernel Clustering Analysis. PACIS 2014: 366 - 2013
- [j3]Shan-Hung Wu, Keng-Pei Lin, Hao-Heng Chien, Chung-Min Chen, Ming-Syan Chen
On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines. IEEE Trans. Knowl. Data Eng. 25(5): 1083-1096 (2013) - [c6]Keng-Pei Lin:
Privacy-Preserving Kernel k-Means Outsourcing with Randomized Kernels. ICDM Workshops 2013: 860-866 - 2011
- [j2]Keng-Pei Lin, Ming-Syan Chen
On the Design and Analysis of the Privacy-Preserving SVM Classifier. IEEE Trans. Knowl. Data Eng. 23(11): 1704-1717 (2011) - [c5]Keng-Pei Lin, Ming-Syan Chen
Towards communication-efficient private location dependent queries. SAC 2011: 433-438 - [c4]Ming-Syan Chen, Keng-Pei Lin:
Efficient Kernel Approximation for Large-Scale Support Vector Machine Classification. SDM 2011: 211-222 - 2010
- [c3]Keng-Pei Lin, Ming-Syan Chen
Privacy-preserving outsourcing support vector machines with random transformation. KDD 2010: 363-372
2000 – 2009
- 2008
- [c2]Keng-Pei Lin, Ming-Syan Chen
Releasing the SVM Classifier with Privacy-Preservation. ICDM 2008: 899-904 - [c1]Shan-Hung Wu, Keng-Pei Lin, Chung-Min Chen, Ming-Syan Chen
Asymmetric support vector machines: low false-positive learning under the user tolerance. KDD 2008: 749-757 - 2007
- [j1]Kun-Ta Chuang, Keng-Pei Lin, Ming-Syan Chen
Quality-Aware Sampling and Its Applications in Incremental Data Mining. IEEE Trans. Knowl. Data Eng. 19(4): 468-484 (2007)
Coauthor Index
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