| DERN: Deep ensemble learning model for short-and long-term prediction of baltic dry index IM Kamal, H Bae, S Sunghyun, H Yun Applied Sciences 10 (4), 1504, 2020 | 46 | 2020 |
| Vessel estimated time of arrival prediction system based on a path-finding algorithm K Park, S Sim, H Bae Maritime Transport Research 2, 100012, 2021 | 39 | 2021 |
| Likelihood-based multiple imputation by event chain methodology for repair of imperfect event logs with missing data S Sim, H Bae, Y Choi 2019 International Conference on Process Mining (ICPM), 9-16, 2019 | 19 | 2019 |
| Forecasting High-Dimensional Multivariate Regression of Baltic Dry Index (BDI) using Deep Neural Networks (DNN) IM Kamal, H Bae, S Sim, H Kim, D Kim, Y Choi, H Yun ICIC Express Letters 13 (5), 427-434, 2019 | 9 | 2019 |
| Automatic Conversion of Event Data to Event Logs Using CNN and Event Density Embedding S Sim, RA Sutrisnowati, S Won, S Lee, H Bae IEEE Access 10, 15994-16009, 2022 | 7 | 2022 |
| Hamstring stretching significantly changes the sitting biomechanics I Lee, S Sim, S Jin International Journal of Industrial Ergonomics 84, 103163, 2021 | 6 | 2021 |
| Deep collaborative learning model for port-air pollutants prediction using automatic identification system S Sim, JH Park, H Bae Transportation Research Part D: Transport and Environment 111, 103431, 2022 | 4 | 2022 |
| Bagging recurrent event imputation for repair of imperfect event log with missing categorical events S Sim, H Bae, L Liu IEEE Transactions on Services Computing 16 (1), 108-121, 2021 | 4 | 2021 |
| Statistical verification of process model conformance to execution log considering model abstraction SH Sim, H Bae, Y Choi, L Liu International Journal of Cooperative Information Systems 27 (02), 1850002, 2018 | 3 | 2018 |
| Statistical verification of process conformance based on log equality test H Bae, S Sim, Y Choi, L Liu 2016 IEEE 2nd International Conference on Collaboration and Internet …, 2016 | 3 | 2016 |
| Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data S Sim, D Kim, H Bae IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 2 | 2023 |
| CRU: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data S Sim, D Kim, H Bae arXiv preprint arXiv:2211.16653, 2022 | 2 | 2022 |
| MIEC: Repair Missing Data in Imperfect Event Log S Sim, H Bae, RA Sutrisnowati Jun, 2019 | 1 | 2019 |
| Petri Nets simulation for operational analytics based on process data: An overview NY Wirawan, RA Sutrisnowati, S Sim, NI Utama, NA Wahid, TN Adi, ... ICIC Experss Letters, Part B: Applications 9 (9), 1033-1040, 2018 | 1 | 2018 |
| Improving Time-Series Classification Accuracy Based on Temporal Feature Representation Learning Using CRU-LSTM Autoencoder D Kim, S Sim, B Yoon, L Liu, H Bae 2023 IEEE 5th International Conference on Cognitive Machine Intelligence …, 2023 | | 2023 |
| Correlation recurrent unit for improving prediction performance of time-series data and correlation recurrent neural network HR Bae, S Sim, KIM Do Hee, HS Kang US Patent App. 18/086,646, 2023 | | 2023 |
| Temporal Attention Gate Network With Temporal Decomposition for Improved Prediction Accuracy of Univariate Time-Series Data S Sim, D Kim, SC Jeong 2023 International Conference on Artificial Intelligence in Information and …, 2023 | | 2023 |
| Automatic Discovery of Multi-perspective Process Model using Reinforcement Learning S Sim, L Liu, H Bae arXiv preprint arXiv:2211.16687, 2022 | | 2022 |
| Method and device for restoring missing operational data HR Bae, SH Sim, YL Choi, RA Sutrisnowati US Patent 11,113,268, 2021 | | 2021 |
| Statistical Verification of Process Model Fitness in Process Mining SH Sim, Y Choi, H Bae ICIC Express Letters, Part B: Applications, 2323, 2016 | | 2016 |
Hyerim BaePusan National University在 pusan.ac.kr 的电子邮件经过验证
