Hyun Lee

Orcid: 0000-0003-0089-1002

Affiliations:
  • Sun Moon University, Department of Computer Science and Engineering, Asan, South Korea


According to our database1, Hyun Lee authored at least 12 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Prediction of bacterial protein-compound interactions with only positive samples.
Bioinform., 2026

2024
Evidential deep learning for trustworthy prediction of enzyme commission number.
Briefings Bioinform., January, 2024

2023
Predicting Site Energy Usage Intensity Using Machine Learning Models.
Sensors, 2023

RD-Classifier: Reduced Dimensionality Classifier for Alzheimer's Diagnosis Support System.
Proceedings of the Database and Expert Systems Applications, 2023

2021
GCRNN: graph convolutional recurrent neural network for compound-protein interaction prediction.
BMC Bioinform., 2021

2017
Development of 3D Surface Shape Analysis System Using White Light Scanning Interference.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017

Glove Type Air Mouse Powered by Kalman Filtering and Complementary Filtering.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017

2016
Deep Analysis of Tag Interference by Tag to Tag Relative Angles with Passive Far Field UHF RFID System.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2016

A New Automated Cell Counting Program by Using Hough Transform-Based Double Edge.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2016

Design and Implementation of the Mobile Learning App for Creative Problem Solving Activities.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2016

IoT-Based Smart Photo Frame.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2016

2015
Development of Learner-Centric Teaching-Learning Application Model for Ubiquitous Learning.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2015


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