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): 261 to 280 of 522
| Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization Suh, Sangho; Shin, Sungbok; Lee, Joonseok; Reddy, Chandan K.; Choo, Jaegul, KNOWLEDGE AND INFORMATION SYSTEMS, v.56, no.3, pp.503 - 531, 2018-09 |
| RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Kwon, Bum Chul; Choi, Min-Je; Kim, Joanne Taery; Choi, Edward; Kim, Young Bin; Kwon, Soonwook; Sun, Jimeng; et al, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.25, no.1, pp.299 - 309, 2019-01 |
| End-to-End Partial Discharge Detection in Power Cables via Time-Domain Convolutional Neural Networks Khan, Mohammad Azam; Choo, Jaegul; Kim, Yong-Hwa, JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, v.14, no.3, pp.1299 - 1309, 2019-05 |
| iVisClustering: An Interactive Visual Document Clustering via Topic Modeling Lee, Hanseung; Kihm, Jaeyeon; Choo, Jaegul; Stasko, John; Park, Haesun, COMPUTER GRAPHICS FORUM, v.31, no.3, pp.1155 - 1164, 2012-06 |
| Customizing Computational Methods for Visual Analytics with Big Data Choo, Jaegul; Park, Haesun, IEEE COMPUTER GRAPHICS AND APPLICATIONS, v.33, no.4, pp.22 - 28, 2013-07 |
| Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw Goerg, Carsten; Liu, Zhicheng; Kihm, Jaeyeon; Choo, Jaegul; Park, Haesun; Stasko, John, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.19, no.10, pp.1646 - 1663, 2013-10 |
| Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization Kim, Hannah; Choo, Jaegul; Reddy, Chandan K.; Park, Haesun, NEUROCOMPUTING, v.150, pp.570 - 582, 2015-02 |
| ConceptVector: Text Visual Analytics via Interactive Lexicon Building using Word Embedding Park, Deokgun; Kim, Seungyeon; Lee, Jurim; Choo, Jaegul; Diakopoulos, Nicholas; Elmqvist, Niklas, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.24, no.1, pp.361 - 370, 2018-01 |
| VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data Choo, Jaegul; Kim, Hannah; Clarkson, Edward; Liu, Zhicheng; Lee, Changhyun; Li, Fuxin; Lee, Hanseung; et al, ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, v.12, no.1, 2018-02 |
| Evaluation of Electromagnetic Interference From Axially Ruptured Coaxial Cable With Multiple Dielectrics Used in Nuclear Power Plants Choo, Jaeyul; Choo, Jaegul; Kim, Yong-Hwa, IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, v.61, no.3, pp.860 - 869, 2019-06 |
Gauging variational inference Ahn, Sungsoo; Chertkov, Michael; Shin, Jinwoo, JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, v.2019, no.12, pp.124015, 2019-12 |
| Bucket renormalization for approximate inference Ahn, Sungsoo; Chertkov, Michael; Weller, Adrian; Shin, Jinwoo, JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, v.2019, no.12, pp.124022, 2019-12 |
| One network to solve all ROIs: Deep learning CT for any ROI using differentiated backprojection Han, Yoseob; Ye, Jong Chul, MEDICAL PHYSICS, v.46, no.12, pp.E855 - E872, 2019-12 |
| Computational MRI: Compressive Sensing and Beyond Jacob, Mathews; Ye, Jong Chul; Ying, Leslie; Doneva, Mariya, IEEE SIGNAL PROCESSING MAGAZINE, v.37, no.1, pp.21 - 23, 2020-01 |
| Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning Jacob, Mathews; Mani, Merry P.; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.37, no.1, pp.54 - 68, 2020-01 |
| Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning Ravishankar, Saiprasad; Ye, Jong Chul; Fessler, Jeffrey A., PROCEEDINGS OF THE IEEE, v.108, no.1, pp.86 - 109, 2020-01 |
| XAI-Explainable artificial intelligence Gunning, David; Stefik, Mark; Choi, Jaesik; Miller, Timothy; Stumpf, Simone; Yang, Guang-Zhong, SCIENCE ROBOTICS, v.4, no.37, 2019-12 |
| Super-MAC Design for Tightly Coupled Multi-RAT Networks Kim, Jihwan; Lee, Hyang-Won; Chong, Song, IEEE TRANSACTIONS ON COMMUNICATIONS, v.67, no.10, pp.6939 - 6951, 2019-10 |
| MumfordShah Loss Functional for Image Segmentation With Deep Learning Kim, Boah; Ye, Jong Chul, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.29, pp.1856 - 1866, 2020-01 |
| k-Space deep learning for reference-free EPI ghost correction Lee, Juyoung; Han, Yoseob; Ryu, Jae-Kyun; Park, Jang-Yeon; Ye, Jong Chul, MAGNETIC RESONANCE IN MEDICINE, v.82, no.6, pp.2299 - 2313, 2019-12 |
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Type
- 522 Article
Open Access
- 36 OA Article
Date issued
- 216 2020 - 2024
- 245 2010 - 2019
- 50 2000 - 2009
- 11 1992 - 1999