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Yong Oh Lee
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2020 – today
- 2023
- [j10]Dongkyun Kim
, Yong Oh Lee, Changhyun Jun
Understanding the Way Machines Simulate Hydrological Processes - A Case Study of Predicting Fine-Scale Watershed Response on a Distributed Framework. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [c13]Jaemin Song, Yong Oh Lee, Seho Park, Youn Kyu Lee, Hansang Park, Hyun-Bum Kim:
Enhancing Vocal-Based Laryngeal Cancer Screening with Additional Patient Information and Voice Signal Embedding. IEEE Big Data 2023: 3731-3735 - [c12]Hana Kim, Yong Oh Lee, Changsoo Ok, Dongkyun Kim, Seungyup Baek:
Embedding Climate Dynamics and Prediction with Deep Learning for Wind Power Forecasting: Short-Term to Long-Term Perspective. IEEE Big Data 2023: 3929-3935 - 2022
- [j9]Sangrak Lim
Affinity prediction using deep learning based on SMILES input for D3R grand challenge 4. J. Comput. Aided Mol. Des. 36(3): 225-235 (2022) - [j8]Sungho Suh
Supervised segmentation with domain adaptation for small sampled orbital CT images. J. Comput. Des. Eng. 9(2): 783-792 (2022) - [j7]Sungho Suh
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks. Knowl. Based Syst. 237: 107866 (2022) - [j6]Sungho Suh
Discriminative feature generation for classification of imbalanced data. Pattern Recognit. 122: 108302 (2022) - [j5]Sungho Suh
Two-stage generative adversarial networks for binarization of color document images. Pattern Recognit. 130: 108810 (2022) - 2021
- [j4]Sungho Suh
CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems. Neural Networks 133: 69-86 (2021) - [c11]Sungho Suh
Sequential Lung Nodule Synthesis Using Attribute-Guided Generative Adversarial Networks. MICCAI (6) 2021: 402-411 - [i6]Sungho Suh, Sojeong Cheon, Wonseo Choi, Yeon Woong Chung, Won-Kyung Cho, Ji-Sun Paik, Sung Eun Kim, Dong-Jin Chang, Yong Oh Lee:
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images. CoRR abs/2107.00418 (2021) - [i5]Sungho Suh, Paul Lukowicz, Yong Oh Lee:
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks. CoRR abs/2109.12513 (2021) - 2020
- [j3]Sungho Suh
Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear. Sensors 20(20): 5846 (2020) - [c10]Sungho Suh
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label. ICPR 2020: 2643-2649 - [c9]Sangrak Lim, Yong Oh Lee:
Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation. ICPR 2020: 3146-3153 - [i4]Sungho Suh, Paul Lukowicz, Yong Oh Lee:
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label. CoRR abs/2008.11440 (2020) - [i3]Sungho Suh, Jihun Kim, Paul Lukowicz, Yong Oh Lee:
Two-Stage Generative Adversarial Networks for Document Image Binarization with Color Noise and Background Removal. CoRR abs/2010.10103 (2020) - [i2]Sangrak Lim, Yong Oh Lee:
Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation. CoRR abs/2010.11272 (2020) - [i1]Sungho Suh, Paul Lukowicz, Yong Oh Lee:
Discriminative feature generation for classification of imbalanced data. CoRR abs/2010.12888 (2020)
2010 – 2019
- 2019
- [c8]Sungho Suh
Robust Shipping Label Recognition and Validation for Logistics by Using Deep Neural Networks. ICIP 2019: 4509-4513 - 2018
- [c7]Jun Jo, Yong Oh Lee, Jongwoon Hwang:
Multi-Layer Nested Scatter Plot a Data Wrangling Method for Correlated Multi-Channel Time Series Signals. AI4I 2018: 106-107 - [c6]Haebom Lee, Jun Jo, Yong Oh Lee, Korkmaz Zirpel Nuriye, Leon Abelmann
Deep Learning Analysis of Binding Behavior of Virus Displayed Peptides to AuNPs. PACBB 2018: 97-104 - 2017
- [c5]Yong Oh Lee, Jun Jo, Jongwoon Hwang:
Application of deep neural network and generative adversarial network to industrial maintenance: A case study of induction motor fault detection. IEEE BigData 2017: 3248-3253 - 2012
- [j2]Yong Oh Lee, A. L. Narasimha Reddy:
Constructing disjoint paths for failure recovery and multipath routing. Comput. Networks 56(2): 719-730 (2012) - [c4]Yong Oh Lee, A. L. Narasimha Reddy:
Multipath routing for reducing network energy. OnlineGreenComm 2012: 44-49 - 2011
- [j1]Yong Oh Lee:
Improving performance and energy savings through alternative forwarding. SIGMETRICS Perform. Evaluation Rev. 39(3): 110-112 (2011) - [c3]Yong Oh Lee, Balaji Rengarajan, A. L. Narasimha Reddy:
Reaching approximate Wardrop equilibrium at reduced costs of link state updates. COMSNETS 2011: 1-10 - 2010
- [c2]Yong Oh Lee, A. L. Narasimha Reddy:
Disjoint Multi-Path Routing and Failure Recovery. ICC 2010: 1-6
2000 – 2009
- 2007
- [c1]Yong Oh Lee, Jongkyung Kim, Kyung-Ho Sohn, Jongsoo Seo, Young Yong Kim:
Adaptive Packet Assignment Schemes in Multi-User OFDM Systems. VTC Spring 2007: 1317-1320
Coauthor Index
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