Sung-Hyun Sim

Orcid: 0000-0002-3410-8744

According to our database1, Sung-Hyun Sim authored at least 14 papers between 2016 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Artificial Intelligence-based Smart Port Logistics Metaverse for Enhancing Productivity, Environment, and Safety in Port Logistics: A Case Study of Busan Port.
CoRR, 2024

Legacy Learning Using Few-Shot Font Generation Models for Automatic Text Design in Metaverse Content: Cases Studies in Korean and Chinese.
CoRR, 2024

DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding.
CoRR, 2024

Temporal Multi-Features Representation Learning-Based Clustering for Time-Series Data.
IEEE Access, 2024

2023
Correlation Recurrent Units: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Bagging Recurrent Event Imputation for Repair of Imperfect Event Log With Missing Categorical Events.
IEEE Trans. Serv. Comput., 2023

Temporal Attention Gate Network With Temporal Decomposition for Improved Prediction Accuracy of Univariate Time-Series Data.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

Improving Time-Series Classification Accuracy Based on Temporal Feature Representation Learning Using CRU-LSTM Autoencoder.
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

2022
Automatic Discovery of Multi-perspective Process Model using Reinforcement Learning.
CoRR, 2022

CRU: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data.
CoRR, 2022

Automatic Conversion of Event Data to Event Logs Using CNN and Event Density Embedding.
IEEE Access, 2022

2019
Likelihood-based Multiple Imputation by Event Chain Methodology for Repair of Imperfect Event Logs with Missing Data.
Proceedings of the International Conference on Process Mining, 2019

2018
Statistical Verification of Process Model Conformance to Execution Log Considering Model Abstraction.
Int. J. Cooperative Inf. Syst., 2018

2016
Statistical Verification of Process Conformance Based on Log Equality Test.
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016


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