Browse "RIMS Collection" by Subject Training
Showing results 1 to 6 of 6
| Abnormal Event Detection and Localization via Adversarial Event Prediction Yu, Jongmin; Lee, Younkwan; Yow, Kin Choong; Jeon, Moongu; Pedrycz, Witold, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.33, no.8, pp.3572 - 3586, 2022-08 |
| Comments on "Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach Wahab, Abdul; Khan, Shujaat, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.31, no.3, pp.1066 - 1068, 2020-03 |
| Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks Gao, Yansong; Kim, Yeonjae; Doan, Bao Gia; Zhang, Zhi; Zhang, Gongxuan; Nepal, Surya; Ranasinghe, Damith C.; et al, IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, v.19, no.4, pp.2349 - 2364, 2022-07 |
| Regulated Subspace Projection Based Local Model Update Compression for Communication-Efficient Federated Learning Park, Sangjun; Choi, Wan, IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, v.41, no.4, pp.964 - 976, 2023-04 |
| 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 |
| Unsupervised Domain Adaptation for 3D Point Clouds by Searched Transformations Kang, Dongmin; Nam, Yeongwoo; Kyung, Daeun; Choi, Jonghyun, IEEE ACCESS, v.10, pp.56901 - 56913, 2022 |
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