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Jeong-Hyeon Moon
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2020 – today
- 2024
- [j5]Jeong-Hyeon Moon, Namhyuk Ahn, Kyung-Ah Sohn:
Decomposing texture and semantic for out-of-distribution detection. Expert Syst. Appl. 238(Part A): 121829 (2024) - [j4]Jeong-Hyeon Moon, Garam Lee, Seung Mi Lee, Jiho Ryu, Dokyoon Kim, Kyung-Ah Sohn:
Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction. IEEE J. Biomed. Health Informatics 28(10): 5718-5728 (2024) - 2023
- [j3]Seungmin Jang, Jeong-Hyeon Moon, So Yeon Kim, Kyung-Ah Sohn:
CEAT: Curvature Feature Extractor Using Action Based Triplet Learning for Action Segmentation. IEEE Access 11: 79445-79454 (2023) - [j2]Jun-Hyung Yu, Jeong-Hyeon Moon, Kyung-Ah Sohn:
Attention-guided residual frame learning for video anomaly detection. Multim. Tools Appl. 82(8): 12099-12116 (2023) - 2022
- [j1]Jeong-Hyeon Moon, Jun-Hyung Yu, Kyung-Ah Sohn:
An ensemble approach to anomaly detection using high- and low-variance principal components. Comput. Electr. Eng. 99: 107773 (2022) - [c2]Wooksu Shin, Namhyuk Ahn, Jeong-Hyeon Moon, Kyung-Ah Sohn:
Exploiting Distortion Information for Multi-degraded Image Restoration. CVPR Workshops 2022: 536-545 - 2021
- [i1]Junekyu Park, Jeong-Hyeon Moon, Namhyuk Ahn, Kyung-Ah Sohn:
What is Wrong with One-Class Anomaly Detection? CoRR abs/2104.09793 (2021)
2010 – 2019
- 2017
- [c1]Jeong-Hyeon Moon, Chae-Young Yun, Seon-Joo Park, Kyung-Ah Sohn:
A Case Study on How to Predict Café Profit: A Dimension Reduction via Factor Analysis. MUE/FutureTech 2017: 588-593
Coauthor Index
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last updated on 2024-12-10 20:47 CET by the dblp team
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