Showing results 1 to 8 of 8
Abnormal event detection using adversarial predictive coding for motion and appearance Yu, Jongmin; Kim, Jung-Gyun; Gwak, Jeonghwan; Lee, Byung-Geun; Jeon, Moongu, INFORMATION SCIENCES, v.586, pp.59 - 73, 2022-03 |
Deep Learning-Based Algorithm for the Detection and Characterization of MRI Safety of Cardiac Implantable Electronic Devices on Chest Radiographs![]() Kim, Ue-Hwan; Kim, Moon Young; Park, Eun-Ah; Lee, Whal; Lim, Woo-Hyun; Kim, Hack-Lyoung; Oh, Sohee; et al, KOREAN JOURNAL OF RADIOLOGY, v.22, no.11, pp.1918 - 1928, 2021-11 |
Interpretable deep learning LSTM model for intelligent economic decision-making Park, sangjin; Yang, Jae-Suk, KNOWLEDGE-BASED SYSTEMS, v.248, no.19, 2022-07 |
RRWaveNet: A Compact End-to-End Multiscale Residual CNN for Robust PPG Respiratory Rate Estimation Osathitporn, Pongpanut; Sawadwuthikul, Guntitat; Thuwajit, Punnawish; Ueafuea, Kawisara; Mateepithaktham, Thee; Kunaseth, Narin; Choksatchawathi, Tanut; et al, IEEE INTERNET OF THINGS JOURNAL, v.10, no.18, pp.15943 - 15952, 2023-09 |
Sequential targeting: A continual learning approach for data imbalance in text classification Jang, Joel; Kim, Yoonjeon; Choi, Kyoungho; Suh, Sungho, EXPERT SYSTEMS WITH APPLICATIONS, v.179, 2021-10 |
Spatial Contrastive Learning for Anomaly Detection and Localization Kim, Daehwan; Jeong, Daun; Kim, Hyungmin; Chong, Kibong; Kim, Seungryong; Cho, Hansang, IEEE ACCESS, v.10, pp.17366 - 17376, 2022 |
Structure-preserving quality improvement of cone beam CT images using contrastive learning Kang, Se-Ryong; Shin, Woncheol; Yang, Su; Kim, Jo-Eun; Huh, Kyung-Hoe; Lee, Sam-Sun; Heo, Min-Suk; et al, COMPUTERS IN BIOLOGY AND MEDICINE, v.158, 2023-05 |
Wireless Channel Adaptive DNN Split Inference for Resource-Constrained Edge Devices Lee, Jaeduk; Lee, Hojung; Choi, Wan, IEEE COMMUNICATIONS LETTERS, v.27, no.6, pp.1520 - 1524, 2023-06 |
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