Keng-Pei Lin

According to our database, Keng-Pei Lin authored at least 30 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automatic Short-Answer Grading with a Pseudo-Siamese Neural Network.

Tzu-Lin Chang, Keng-Pei Lin, Zong-Shun Chen

Proceedings of the 28th Pacific Asia Conference on Information Systems, 2024

2023

Three-Dimensional Printing Quality Inspection Based on Transfer Learning with Convolutional Neural Networks.

Cheng-Jung Yang, Wei-Kai Huang, Keng-Pei Lin

Sensors, 2023

Facial Recognition in Celebrity Fan Art with Multi-Task Learning and Image Data Augmentation.

Keng-Pei Lin, Tzu-Lin Chang, Ting-Ye Chen

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

2020

Importing Automated Management System to Improve the Process Efficiency of Dental Laboratories.

Cheng-Jung Yang, Ming-Huang Chen, Keng-Pei Lin, Yu-Jie Cheng, Fu-Chi Cheng

Sensors, 2020

A Grading System of Pot-Phalaenopsis Orchid Using YOLO-V3 Deep Learning Model.

Yi-Wei Chang, Yu-Kai Hsiao, Chien-Chuan Ko, Rong-Show Shen, Wei-Yang Lin, Keng-Pei Lin

Proceedings of the Advances in Networked-Based Information Systems, 2020

2019

The Structure-Behavior Coalescence Approach for Systems Modeling.

Keng-Pei Lin, William S. Chao

IEEE Access, 2019

Blockchain Technology for e-Marketplace.

Yi-Wei Chang, Keng-Pei Lin, Chih-Ya Shen

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems.

Keng-Pei Lin, Yihuang Kang, William S. Chao

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

Recommendation as a Service in Mergers and Acquisitions Transactions.

Yu-Chen Yang, Yi-Syuan Ke, Weiwei Wu, Keng-Pei Lin, Yong Jimmy Jin

Proceedings of the HCI in Business, Government and Organizations. Information Systems and Analytics, 2019

A Smart Contract-Based Mobile Ticketing System with Multi-Signature and Blockchain.

Keng-Pei Lin, Yi-Wei Chang, Zhi-Hong Wei, Chih-Ya Shen, Ming-Yi Chang

Proceedings of the IEEE 8th Global Conference on Consumer Electronics, 2019

2018

Leveraging Online Word of Mouth for Personalized App Recommendation.

Keng-Pei Lin, Yi-Wei Chang, Chih-Ya Shen, Mei-Chu Lin

IEEE Trans. Comput. Soc. Syst., 2018

Enriching UML from Model Multiplicity to Model Singularity with Structure-Behavior Coalescence.

Keng-Pei Lin, Chih-Ya Shen, William Chao

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization.

Yihuang Kang, Keng-Pei Lin, I-Ling Cheng

Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

2017

A Consumer Review-Driven Recommender Service for Web E-Commerce.

Keng-Pei Lin, Chih-Ya Shen, Tzu-Lin Chang, Te-Min Chang

Proceedings of the 10th IEEE Conference on Service-Oriented Computing and Applications, 2017

Integration of Social Media News Mining and Text Mining Techniques to Determine a Corporate's Competitive Edge.

Te-Ming Chang, Guo-Hsin Hu, Ming-Fu Hsu, Keng-Pei Lin

Proceedings of the 21st Pacific Asia Conference on Information Systems, 2017

2016

Privacy-preserving kernel k-means clustering outsourcing with random transformation.

Keng-Pei Lin

Knowl. Inf. Syst., 2016

Salient corporate performance forecasting based on financial and textual information.

Te-Min Chang, Ming-Fu Hsu, Guo-Hsin Hu, Keng-Pei Lin

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015

Secure support vector machines outsourcing with random linear transformation.

Keng-Pei Lin, Yi-Wei Chang, Ming-Syan Chen

Knowl. Inf. Syst., 2015

Personalized Hotel Recommendation Using Text Mining and Mobile Browsing Tracking.

Keng-Pei Lin, Chia-Yu Lai, Po-Cheng Chen, San-Yih Hwang

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Identifying Highly Potential Enterprises with Social Computing on Supply Chain Networks.

Te-Min Chang, Chao-Hsien Sung, Guo-Hsin Hu, Ming-Fu Hsu, Keng-Pei Lin

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

2014

Efficient Approximation for Large-Scale Kernel Clustering Analysis.

Keng-Pei Lin, Yu-Chen Yang

Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014

2013

On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines.

Shan-Hung Wu, Keng-Pei Lin, Hao-Heng Chien, Chung-Min Chen, Ming-Syan Chen

IEEE Trans. Knowl. Data Eng., 2013

Privacy-Preserving Kernel k-Means Outsourcing with Randomized Kernels.

Keng-Pei Lin

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2011

On the Design and Analysis of the Privacy-Preserving SVM Classifier.

Keng-Pei Lin, Ming-Syan Chen

IEEE Trans. Knowl. Data Eng., 2011

Efficient Kernel Approximation for Large-Scale Support Vector Machine Classification.

Ming-Syan Chen, Keng-Pei Lin

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Towards communication-efficient private location dependent queries.

Keng-Pei Lin, Ming-Syan Chen

Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

2010

Privacy-preserving outsourcing support vector machines with random transformation.

Keng-Pei Lin, Ming-Syan Chen

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2008

Asymmetric support vector machines: low false-positive learning under the user tolerance.

Shan-Hung Wu, Keng-Pei Lin, Chung-Min Chen, Ming-Syan Chen

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Releasing the SVM Classifier with Privacy-Preservation.

Keng-Pei Lin, Ming-Syan Chen

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Quality-Aware Sampling and Its Applications in Incremental Data Mining.

Kun-Ta Chuang, Keng-Pei Lin, Ming-Syan Chen

IEEE Trans. Knowl. Data Eng., 2007