Keng-Pei Lin

Orcid: 0000-0003-0263-3250

According to our database1, Keng-Pei Lin authored at least 30 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Automatic Short-Answer Grading with a Pseudo-Siamese Neural Network.
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.
Sensors, 2023

Facial Recognition in Celebrity Fan Art with Multi-Task Learning and Image Data Augmentation.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

2020
Importing Automated Management System to Improve the Process Efficiency of Dental Laboratories.
Sensors, 2020

A Grading System of Pot-Phalaenopsis Orchid Using YOLO-V3 Deep Learning Model.
Proceedings of the Advances in Networked-Based Information Systems, 2020

2019
The Structure-Behavior Coalescence Approach for Systems Modeling.
IEEE Access, 2019

Blockchain Technology for e-Marketplace.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

Recommendation as a Service in Mergers and Acquisitions Transactions.
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.
Proceedings of the IEEE 8th Global Conference on Consumer Electronics, 2019

2018
Leveraging Online Word of Mouth for Personalized App Recommendation.
IEEE Trans. Comput. Soc. Syst., 2018

Enriching UML from Model Multiplicity to Model Singularity with Structure-Behavior Coalescence.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization.
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

2017
A Consumer Review-Driven Recommender Service for Web E-Commerce.
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.
Proceedings of the 21st Pacific Asia Conference on Information Systems, 2017

2016
Privacy-preserving kernel k-means clustering outsourcing with random transformation.
Knowl. Inf. Syst., 2016

Salient corporate performance forecasting based on financial and textual information.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015
Secure support vector machines outsourcing with random linear transformation.
Knowl. Inf. Syst., 2015

Personalized Hotel Recommendation Using Text Mining and Mobile Browsing Tracking.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Identifying Highly Potential Enterprises with Social Computing on Supply Chain Networks.
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.
Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014

2013
On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines.
IEEE Trans. Knowl. Data Eng., 2013

Privacy-Preserving Kernel k-Means Outsourcing with Randomized Kernels.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2011
On the Design and Analysis of the Privacy-Preserving SVM Classifier.
IEEE Trans. Knowl. Data Eng., 2011

Efficient Kernel Approximation for Large-Scale Support Vector Machine Classification.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Towards communication-efficient private location dependent queries.
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.
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.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Releasing the SVM Classifier with Privacy-Preservation.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Quality-Aware Sampling and Its Applications in Incremental Data Mining.
IEEE Trans. Knowl. Data Eng., 2007


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