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Hyeonmin Kim
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2020 – today
- 2024
- [j7]Jinkyun Park, Hyeonmin Kim:
A case study to address the limitation of accident scenario identifications with respect to diverse manual responses. Reliab. Eng. Syst. Saf. 251: 110406 (2024) - [c2]Hyeonmin Kim, Chanyang Seo, Yunnie Cho, Tae Keun Yoo:
Patient-Level Contrastive Learning for Enhanced Biomarker Prediction in Retinal Imaging. DEMI@MICCAI 2024: 125-133 - 2023
- [j6]Young Su Joo, Tyler Hyungtaek Rim, Hee Byung Koh, Joseph Yi, Hyeonmin Kim, Geunyoung Lee, Young Ah Kim, Shin-Wook Kang, Sung Soo Kim, Jung Tak Park:
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors. npj Digit. Medicine 6 (2023) - [c1]Hyeonmin Kim, Hyeonseob Nam:
Myopic Maculopathy Analysis Using Multi-task Learning and Pseudo Labeling. MMAC@MICCAI 2023: 113-119 - 2022
- [j5]Seunghyoung Ryu, Hyeonmin Kim, Seung-Geun Kim, Kyungho Jin, Jaehyun Cho, Jinkyun Park:
Probabilistic deep learning model as a tool for supporting the fast simulation of a thermal-hydraulic code. Expert Syst. Appl. 200: 116966 (2022) - [j4]Kyungho Jin, Hyeonmin Kim, Seunghyoung Ryu, Seung-Geun Kim, Jinkyun Park:
An approach to constructing effective training data for a classification model to evaluate the reliability of a passive safety system. Reliab. Eng. Syst. Saf. 222: 108446 (2022) - 2020
- [j3]Hyeonmin Kim, Jaehyun Cho, Jinkyun Park:
Application of a Deep Learning Technique to the Development of a Fast Accident Scenario Identifier. IEEE Access 8: 177363-177373 (2020)
2010 – 2019
- 2018
- [j2]Hyeonmin Kim, Jung Taek Kim, Gyunyoung Heo:
Failure rate updates using condition-based prognostics in probabilistic safety assessments. Reliab. Eng. Syst. Saf. 175: 225-233 (2018) - 2017
- [j1]Yeon Kwan Kang, Hyeonmin Kim, Gyunyoung Heo, Seok Yoon Song:
Diagnosis of feedwater heater performance degradation using fuzzy inference system. Expert Syst. Appl. 69: 239-246 (2017)
Coauthor Index
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last updated on 2024-11-04 21:41 CET by the dblp team
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