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
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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4
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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5
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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6
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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7
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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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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9
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
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10
Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements
Oh, Gyutaek; Moon, Yeonsil; Moon, Won-Jin; Ye, Jong Chul, NEUROIMAGE, v.291, 2024-05
Collection's Items (Sorted by Submit Date in Descending order): 141 to 160 of 527
| Robust approach to inverse lighting using RGB-D images Choe, Junsuk; Shim, Hyunjung, INFORMATION SCIENCES, v.438, pp.73 - 94, 2018-04 |
| Semantic-aware neural style transfer Park, Joo Hyun; Park, Song; Shim, Hyunjung, IMAGE AND VISION COMPUTING, v.87, pp.13 - 23, 2019-07 |
| A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT images Kim, Byeongjoon; Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.46, no.9, pp.3906 - 3923, 2019-09 |
| A convolutional neural network-based model observer for breast CT images Kim, Gihun; Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.47, no.4, pp.1619 - 1632, 2020-04 |
| Discriminator Feature-Based Inference by Recycling the Discriminator of GANs Bang, Duhyeon; Kang, Seoungyoon; Shim, Hyunjung, INTERNATIONAL JOURNAL OF COMPUTER VISION, v.128, no.10-11, pp.2436 - 2458, 2020-11 |
| Personalized Face Modeling for Photorealistic Synthesis Kim, Kyungmin; Shim, Hyunjung, Journal of International Society for Simulation Surgery, v.2, no.2, pp.47 - 51, 2015-12 |
| Rigid and non-rigid motion artifact reduction in X-ray CT using attention module Ko, Youngjun; Moon, Seunghyuk; Baek, Jongduk; Shim, Hyunjung, MEDICAL IMAGE ANALYSIS, v.67, 2021-01 |
| GridMix: Strong regularization through local context mapping Baek, Kyungjune; Bang, Duhyeon; Shim, Hyunjung, PATTERN RECOGNITION, v.109, 2021-01 |
| Weakly-supervised progressive denoising with unpaired CT images Kim, Byeongjoon; Shim, Hyunjung; Baek, Jongduk, MEDICAL IMAGE ANALYSIS, v.71, 2021-07 |
| Region-based dropout with attention prior for weakly supervised object localization Choe, Junsuk; Han, Dongyoon; Yun, Sangdoo; Ha, Jung-Woo; Oh, Seong Joon; Shim, Hyunjung, PATTERN RECOGNITION, v.116, 2021-08 |
| Low-dose CT denoising via convolutional neural network with an observer loss function Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.48, no.10, pp.5727 - 5742, 2021-10 |
| Distilling from professors: Enhancing the knowledge distillation of teachers Bang, Duhyeon; Lee, Jongwuk; Shim, Hyunjung, INFORMATION SCIENCES, v.576, pp.743 - 755, 2021-10 |
| Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation Choe, Junsuk; Lee, Seungho; Shim, Hyunjung, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.43, no.12, pp.4256 - 4271, 2021-12 |
| Two-phase learning-based 3D deblurring method for digital breast tomosynthesis images Choi, Yunsu; Han, Minah; Jang, Hanjoo; Shim, Hyunjung; Baek, Jongduk, PLOS ONE, v.17, no.1, 2022-01 |
| Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy Park, Hyoungjun; Na, Myeongsu; Kim, Bumju; Park, Soohyun; Kim, Ki Hean; Chang, Sunghoe; Ye, Jong Chul, NATURE COMMUNICATIONS, v.13, no.1, 2022-06 |
| Learning the Compositional Domains for Generalized Zero-shot Learning Dong, Hanze; Fu, Yanwei; Hwang, Sung Ju; Sigal, Leonid; Xue, Xiangyang, COMPUTER VISION AND IMAGE UNDERSTANDING, v.221, 2022-08 |
| Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection Xie, Qin; Zhang, Peng; Yu, Boseon; Choi, Jaesik, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.33, no.6, pp.2444 - 2453, 2022-06 |
| Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch Kim, Sungnyun; YUN, SE-YOUNG, IEEE ACCESS, v.10, pp.53894 - 53908, 2022 |
| 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 |
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Type
- 527 Article
Open Access
- 36 OA Article
Date issued
- 221 2020 - 2024
- 245 2010 - 2019
- 50 2000 - 2009
- 11 1992 - 1999