AI-Journal Papers(저널논문)
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Recent Items
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1
Magnitude and angle dynamics in training single ReLU neurons
Lee, Sangmin; Sim, Byeongsu; Ye, Jong Chul, NEURAL NETWORKS, v.178, 2024-10
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2
Targeted Model Inversion: Distilling style encoded in predictions
Jeong, Hoyong; Chung, Kiwon; Hwang, Sung Ju; Son, Sooel, COMPUTERS SECURITY, v.144, 2024-09
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3
Unraveling the role of Raman modes in evaluating the degree of reduction in graphene oxide via explainable artificial intelligence
Yoo, Jaekak; Cho, Youngwoo; Kim, Dong Hyeon; Kim, Jaeseok; Lee, Tae Geol; Lee, Seung Mi; Choo, Jaegul; Jeong, Mun Seok, NANO TODAY, v.57, 2024-08
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4
Representative and Back-In-Time Sampling from Real-world Hypergraphs
Choe, Min Young; Yoo, Jaemin; Lee, Geon; Baek, Woonsung; Kang, U; Shin, Kijung, ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, v.18, no.6, 2024-07
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5
Deep learning model for heavy rainfall nowcasting in South Korea
Oh, Seok-Geun; Son, Seok-Woo; Kim, Young-Ha; Park, Chanil; Ko, Jihoon; Shin, Kijung; Ha, Ji-Hoon; Lee, Hyesook, WEATHER AND CLIMATE EXTREMES, v.44, 2024-06
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Adapting low-dose CT denoisers for texture preservation using zero-shot local noise-level matching
Ko, Youngjun; Song, Seongjong; Baek, Jongduk; Shim, Hyunjung, MEDICAL PHYSICS, v.51, no.6, pp.4181 - 4200, 2024-06
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End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography
Oh, Jieun; Kim, Boah; Oh, Gyutaek; Hwangbo, Yul; Ye, Jong Chul, ENDOCRINOLOGY AND METABOLISM, v.39, no.3, pp.500 - 510, 2024-06
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8
Hypergraph motifs and their extensions beyond binary
Lee, Geon; Yoon, S; Ko, Jihoon; Kim, Hyunju; Shin, Kijung, VLDB JOURNAL, v.33, no.3, pp.625 - 665, 2024-05
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9
Random walk with restart on hypergraphs: fast computation and an application to anomaly detection
Chun, Jaewan; Lee, Geon; Shin, Kijung; Jung, Jinhong, DATA MINING AND KNOWLEDGE DISCOVERY, v.38, no.3, pp.1222 - 1257, 2024-05
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10
Optimal clustering from noisy binary feedback
Ariu, Kaito; Ok, Jungseul; Proutiere, Alexandre; Yun, Seyoung, MACHINE LEARNING, v.113, no.5, pp.2733 - 2764, 2024-05
Collection's Items (Sorted by Submit Date in Descending order): 161 to 180 of 529
| Real-Time Anomaly Detection in Edge Streams Bhatia, Siddharth; Liu, Rui; Hooi, Bryan; Yoon, Minji; Shin, Kijung; Faloutsos, Christos, ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, v.16, no.4, 2022-08 |
| Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization Oh, Gyutaek; Bae, Hyokyoung; Ahn, Hyun-Seo; Park, Sung-Hong; Moon, Won-Jin; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.79, 2022-07 |
| Energy and Delay Guaranteed Joint Beam and User Scheduling Policy in 5G CoMP Networks Kim, Yeongjin; Jeong, Jaehwan; Ahn, Suyoung; Kwak, Jeongho; Chong, Song, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.21, no.4, pp.2742 - 2756, 2022-04 |
| Cycle-consistent adversarial denoising network for multiphase coronary CT angiography Kang, Eunhee; Koo, Hyun Jung; Yang, Dong Hyun; Seo, Joon Bum; Ye, Jong Chul, MEDICAL PHYSICS, v.46, no.2, pp.550 - 562, 2019-02 |
| 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 |
| A Simple Framework for Robust Out-of-Distribution Detection Hur, Youngbum; Yang, Eunho; Hwang, Sung Ju, IEEE ACCESS, v.10, pp.23086 - 23097, 2022 |
| Scheduling PID Attitude and Position Control Frequencies for Time-Optimal Quadrotor Waypoint Tracking under Unknown External Disturbances Kang, Cheongwoong; Park, Bumjin; Choi, Jaesik, SENSORS, v.22, no.1, 2022-01 |
| Cooperative Multi-Robot Task Allocation with Reinforcement Learning Park, Bumjin; Kang, Cheongwoong; Choi, Jaesik, APPLIED SCIENCES-BASEL, v.12, no.1, 2022-01 |
| Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective Akcakaya, Mehmet; Yaman, Burhaneddin; Chung, Hyungjin; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.39, no.2, pp.28 - 44, 2022-03 |
| Deep Learning in Biological Image and Signal Processing Meijering, Erik; Calhoun, Vince D.; Menegaz, Gloria; Miller, David J.; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.39, no.2, pp.24 - 26, 2022-03 |
| Effective training strategies for deep-learning-based precipitation nowcasting and estimation Ko, Jihoon; Lee, Kyuhan; Hwang, Hyunjin; Oh, Seok-Geun; Son, Seok-Woo; Shin, Kijung, COMPUTERS & GEOSCIENCES, v.161, 2022-04 |
| Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.41, no.2, pp.266 - 278, 2022-02 |
| Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification Park, Sangjoon; Kim, Gwanghyun; Oh, Yujin; Seo, Joon Beom; Lee, Sang Min; Kim, Jin Hwan; Moon, Sungjun; et al, MEDICAL IMAGE ANALYSIS, v.75, 2022-01 |
| Representation, learning, and planning algorithms for geometric task and motion planning Kim, Beomjoon; Shimanuki, Luke; Kaelbling, Leslie Pack; Lozano-Perez, Tomas, INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, v.41, no.2, pp.210 - 231, 2022-02 |
| Deep learning model for diagnosing gastric mucosal lesions using endoscopic images: development, validation, and method comparison Nam, Joon Yeul; Chung, Hyung Jin; Choi, Kyu Sung; Lee, Hyuk; Kim, Tae Jun; Soh, Hosim; Kang, Eun Ae; et al, GASTROINTESTINAL ENDOSCOPY, v.95, no.2, pp.258 - +, 2022-02 |
| Development of artificial intelligence system for quality control of photo documentation in esophagogastroduodenoscopy Choi, Seong Ji; Khan, Mohammad Azam; Choi, Hyuk Soon; Choo, Jaegul; Lee, Jae Min; Kwon, Soonwook; Keum, Bora; et al, SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, v.36, no.1, pp.57 - 65, 2022-01 |
| Cycle-Free CycleGAN Using Invertible Generator for Unsupervised Low-Dose CT Denoising Kwon, Taesung; Ye, Jong Chul, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.7, pp.1354 - 1368, 2021 |
Prediction of hand-wrist maturation stages based on cervical vertebrae images using artificial intelligence Kim, Dong-Wook; Kim, Jinhee; Kim, Taesung; Kim, Taewoo; Kim, Yoon-Ji; Song, In-Seok; Ahn, Byungduk; et al, ORTHODONTICS & CRANIOFACIAL RESEARCH, v.24, pp.68 - 75, 2021-12 |
| Understanding Human-side Impact of Sampling Image Batches in Subjective Attribute Labeling Chung, C; Lee, J; Park, K; Lee, J; Kim, M; Song, M; Kim, Y; et al, Proceedings of the ACM on Human-Computer Interaction, v.5, no.CSCW2, 2021 |
| Unsupervised CT Metal Artifact Learning Using Attention-Guided beta-CycleGAN Lee, Junghyun; Gu, Jawook; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.12, pp.3932 - 3944, 2021-12 |
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Open Access
- 36 OA Article
Date issued
- 223 2020 - 2024
- 245 2010 - 2019
- 50 2000 - 2009
- 11 1992 - 1999