Statistical Verification of Process Conformance Based on Log Equality Test. - Hyerim Bae; Sung-Hyun Sim; Yulim Choi; Ling Liu 001 (CIC, 2016)

Statistical Verification of Process Model Conformance to Execution Log Considering Model Abstraction. - Sung-Hyun Sim; Hyerim Bae; Yulim Choi; Ling Liu 001 (Int. J. Cooperative Inf. Syst., 2018)

Likelihood-based Multiple Imputation by Event Chain Methodology for Repair of Imperfect Event Logs with Missing Data. - Sung-Hyun Sim; Hyerim Bae; Yulim Choi (ICPM, 2019)

Automatic Conversion of Event Data to Event Logs Using CNN and Event Density Embedding. - Sung-Hyun Sim; Riska Asriana Sutrisnowati; Seokrae Won; Sanghwa Lee; Hyerim Bae (IEEE Access, 2022)

CRU: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data. - Sung-Hyun Sim; Dohee Kim; Hyerim Bae (CoRR, 2022)

Automatic Discovery of Multi-perspective Process Model using Reinforcement Learning. - Sung-Hyun Sim; Ling Liu 001; Hyerim Bae (CoRR, 2022)

Improving Time-Series Classification Accuracy Based on Temporal Feature Representation Learning Using CRU-LSTM Autoencoder. - Dohee Kim; Sung-Hyun Sim; Bori Yoon; Ling Liu 001; Hyerim Bae (CogMI, 2023)

Temporal Attention Gate Network With Temporal Decomposition for Improved Prediction Accuracy of Univariate Time-Series Data. - Sung-Hyun Sim; Dohee Kim; Seok Chan Jeong (ICAIIC, 2023)

Bagging Recurrent Event Imputation for Repair of Imperfect Event Log With Missing Categorical Events. - Sung-Hyun Sim; Hyerim Bae; Ling Liu 001 (IEEE Trans. Serv. Comput., 2023)

Correlation Recurrent Units: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data. - Sung-Hyun Sim; Dohee Kim; Hyerim Bae (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Neural Bezier Interpolation with Manifold Learning for Reliable Vessel Trajectory Prediction. - Gawon Lee; Dohee Kim; Segil Park; Sung-Hyun Sim; Ling Liu 001; Hyerim Bae (CogMI, 2024)

Temporal Multi-Features Representation Learning-Based Clustering for Time-Series Data. - Jaehoon Lee; Dohee Kim; Sung-Hyun Sim (IEEE Access, 2024)

DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding. - Younghwi Kim; Dohee Kim; Sung-Hyun Sim (CoRR, 2024)

Legacy Learning Using Few-Shot Font Generation Models for Automatic Text Design in Metaverse Content: Cases Studies in Korean and Chinese. - Younghwi Kim; Seok Chan Jeong; Sung-Hyun Sim (CoRR, 2024)

Artificial Intelligence-based Smart Port Logistics Metaverse for Enhancing Productivity, Environment, and Safety in Port Logistics: A Case Study of Busan Port. - Sung-Hyun Sim; Dohee Kim; Kikun Park; Hyerim Bae (CoRR, 2024)