Keng-Pei Lin

34 papers A* 3A 1B 4Misc 2Journal 12Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Sentiment-Augmented RNN Models for Mini-TAIEX Futures Prediction.
Algorithms
Yu-Heng Hsieh, Keng-Pei Lin, Ching-Hsi Tseng, Xiaolong Liu, Shyan-Ming Yuan
2024 — conf
Automatic Short-Answer Grading with a Pseudo-Siamese Neural Network.
PACIS
Tzu-Lin Chang, Keng-Pei Lin, Zong-Shun Chen
2024 — conf
Gaming Group Formation in Social Networks of Video Game Distribution Platforms.
GCCE
Keng-Pei Lin, Tzu-Lin Chang, Shih-hung Tsai, Chih-Ya Shen
2023 — conf
Facial Recognition in Celebrity Fan Art with Multi-Task Learning and Image Data Augmentation.
GCCE
Keng-Pei Lin, Tzu-Lin Chang, Ting-Ye Chen
2023 J jnl
Three-Dimensional Printing Quality Inspection Based on Transfer Learning with Convolutional Neural Networks.
Sensors
Cheng-Jung Yang, Wei-Kai Huang, Keng-Pei Lin
2020 — conf
A Grading System of Pot-Phalaenopsis Orchid Using YOLO-V3 Deep Learning Model.
NBiS
Yi-Wei Chang, Yu-Kai Hsiao, Chien-Chuan Ko, Rong-Show Shen, Wei-Yang Lin, Keng-Pei Lin
2020 J jnl
Importing Automated Management System to Improve the Process Efficiency of Dental Laboratories.
Sensors
Cheng-Jung Yang, Ming-Huang Chen, Keng-Pei Lin, Yu-Jie Cheng, Fu-Chi Cheng
2020 J jnl
Use of news and patent mining to identify companies with growth potential.
Inf. Res.
Keng-Pei Lin, Tzu-Lin Chang, Yi-Wei Chang, Jia-Wun Cai
2019 — conf
A Smart Contract-Based Mobile Ticketing System with Multi-Signature and Blockchain.
GCCE
Keng-Pei Lin, Yi-Wei Chang, Zhi-Hong Wei, Chih-Ya Shen, Ming-Yi Chang
2019 B conf
A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems.
MDM
Keng-Pei Lin, Yihuang Kang, William S. Chao
2019 — conf
Blockchain Technology for e-Marketplace.
PerCom Workshops
Yi-Wei Chang, Keng-Pei Lin, Chih-Ya Shen
2019 — conf
Recommendation as a Service in Mergers and Acquisitions Transactions.
HCI (24)
Yu-Chen Yang, Yi-Syuan Ke, Weiwei Wu, Keng-Pei Lin, Yong Jimmy Jin
2019 J jnl
The Structure-Behavior Coalescence Approach for Systems Modeling.
IEEE Access
Keng-Pei Lin, William S. Chao
2018 B conf
Enriching UML from Model Multiplicity to Model Singularity with Structure-Behavior Coalescence.
SMC
Keng-Pei Lin, Chih-Ya Shen, William Chao
2018 J jnl
Leveraging Online Word of Mouth for Personalized App Recommendation.
IEEE Trans. Comput. Soc. Syst.
Keng-Pei Lin, Yi-Wei Chang, Chih-Ya Shen, Mei-Chu Lin
2018 Misc conf
Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization.
IRI
Yihuang Kang, Keng-Pei Lin, I-Ling Cheng
2018 J jnl
Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization.
CoRR
Yihuang Kang, Keng-Pei Lin, I-Ling Cheng
2017 — conf
A Consumer Review-Driven Recommender Service for Web E-Commerce.
SOCA
Keng-Pei Lin, Chih-Ya Shen, Tzu-Lin Chang, Te-Min Chang
2017 — conf
Integration of Social Media News Mining and Text Mining Techniques to Determine a Corporate's Competitive Edge.
PACIS
Te-Ming Chang, Guo-Hsin Hu, Ming-Fu Hsu, Keng-Pei Lin
2016 J jnl
Privacy-preserving kernel k-means clustering outsourcing with random transformation.
Knowl. Inf. Syst.
Keng-Pei Lin
2016 B conf
Salient corporate performance forecasting based on financial and textual information.
SMC
Te-Min Chang, Ming-Fu Hsu, Guo-Hsin Hu, Keng-Pei Lin
2015 — conf
Identifying Highly Potential Enterprises with Social Computing on Supply Chain Networks.
SmartCity
Te-Min Chang, Chao-Hsien Sung, Guo-Hsin Hu, Ming-Fu Hsu, Keng-Pei Lin
2015 B conf
Personalized Hotel Recommendation Using Text Mining and Mobile Browsing Tracking.
SMC
Keng-Pei Lin, Chia-Yu Lai, Po-Cheng Chen, San-Yih Hwang
2015 J jnl
Secure support vector machines outsourcing with random linear transformation.
Knowl. Inf. Syst.
Keng-Pei Lin, Yi-Wei Chang, Ming-Syan Chen
2014 — conf
Efficient Approximation for Large-Scale Kernel Clustering Analysis.
PACIS
Keng-Pei Lin, Yu-Chen Yang
2013 J jnl
On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines.
IEEE Trans. Knowl. Data Eng.
Shan-Hung Wu, Keng-Pei Lin, Hao-Heng Chien, Chung-Min Chen, Ming-Syan Chen
2013 — conf
Privacy-Preserving Kernel k-Means Outsourcing with Randomized Kernels.
ICDM Workshops
Keng-Pei Lin
2011 A conf
Efficient Kernel Approximation for Large-Scale Support Vector Machine Classification.
SDM
Ming-Syan Chen, Keng-Pei Lin
2011 J jnl
On the Design and Analysis of the Privacy-Preserving SVM Classifier.
IEEE Trans. Knowl. Data Eng.
Keng-Pei Lin, Ming-Syan Chen
2011 Misc conf
Towards communication-efficient private location dependent queries.
SAC
Keng-Pei Lin, Ming-Syan Chen
2010 A* conf
Privacy-preserving outsourcing support vector machines with random transformation.
KDD
Keng-Pei Lin, Ming-Syan Chen
2008 A* conf
Asymmetric support vector machines: low false-positive learning under the user tolerance.
KDD
Shan-Hung Wu, Keng-Pei Lin, Chung-Min Chen, Ming-Syan Chen
2008 A* conf
Releasing the SVM Classifier with Privacy-Preservation.
ICDM
Keng-Pei Lin, Ming-Syan Chen
2007 J jnl
Quality-Aware Sampling and Its Applications in Incremental Data Mining.
IEEE Trans. Knowl. Data Eng.
Kun-Ta Chuang, Keng-Pei Lin, Ming-Syan Chen