A Case Study on How to Predict Café Profit: A Dimension Reduction via Factor Analysis. - Jeong-Hyeon Moon; Chae-Young Yun; Seon-Joo Park; Kyung-Ah Sohn (MUE/FutureTech, 2017)

What is Wrong with One-Class Anomaly Detection? - Junekyu Park; Jeong-Hyeon Moon; Namhyuk Ahn; Kyung-Ah Sohn (CoRR, 2021)

Exploiting Distortion Information for Multi-degraded Image Restoration. - Wooksu Shin; Namhyuk Ahn; Jeong-Hyeon Moon; Kyung-Ah Sohn (CVPR Workshops, 2022)

An ensemble approach to anomaly detection using high- and low-variance principal components. - Jeong-Hyeon Moon; Jun-Hyung Yu; Kyung-Ah Sohn (Comput. Electr. Eng., 2022)

CEAT: Curvature Feature Extractor Using Action Based Triplet Learning for Action Segmentation. - Seungmin Jang; Jeong-Hyeon Moon; So Yeon Kim; Kyung-Ah Sohn (IEEE Access, 2023)

Attention-guided residual frame learning for video anomaly detection. - Jun-Hyung Yu; Jeong-Hyeon Moon; Kyung-Ah Sohn (Multim. Tools Appl., 2023)

Decomposing texture and semantic for out-of-distribution detection. - Jeong-Hyeon Moon; Namhyuk Ahn; Kyung-Ah Sohn (Expert Syst. Appl., 2024)

Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction. - Jeong-Hyeon Moon; Garam Lee; Seung Mi Lee; Jiho Ryu; Dokyoon Kim; Kyung-Ah Sohn (IEEE J. Biomed. Health Informatics, 2024)