Yong Oh Lee
Yong Oh Lee
Korea Institute of Science and Technology Europe
Verified email at kist-europe.de
Title
Cited by
Cited by
Year
DistressNet: a wireless ad hoc and sensor network architecture for situation management in disaster response
SM George, W Zhou, H Chenji, M Won, YO Lee, A Pazarloglou, R Stoleru, ...
IEEE Communications Magazine 48 (3), 128-136, 2010
2862010
Application of deep neural network and generative adversarial network to industrial maintenance: A case study of induction motor fault detection
YO Lee, J Jo, J Hwang
Big Data (Big Data), 2017 IEEE International Conference on, 2017
422017
Prediction performance of an artificial neural network model for the amount of cooling energy consumption in hotel rooms
JW Moon, SK Jung, YO Lee, S Choi
Energies 8 (8), 8226-8243, 2015
192015
Generative oversampling method for imbalanced data on bearing fault detection and diagnosis
S Suh, H Lee, J Jo, P Lukowicz, YO Lee
Applied Sciences 9 (4), 746, 2019
172019
Constructing disjoint paths for failure recovery and multipath routing
YO Lee, ALN Reddy
Computer Networks 56 (2), 719-730, 2012
162012
Disjoint multi-path routing and failure recovery
YO Lee, ALN Reddy
2010 IEEE International Conference on Communications, 1-6, 2010
122010
Robust shipping label recognition and validation for logistics by using deep neural networks
S Suh, H Lee, YO Lee, P Lukowicz, J Hwang
2019 IEEE International Conference on Image Processing (ICIP), 4509-4513, 2019
52019
Multipath routing for reducing network energy
YO Lee, ALN Reddy
2012 IEEE Online Conference on Green Communications (GreenCom), 44-49, 2012
52012
Multi-Layer Nested Scatter Plot: a Data Wrangling Method for Correlated Multi-Channel Time Series Signals
J Jo, YO Lee, J Hwang
2018 First International Conference on Artificial Intelligence for …, 2019
32019
Network Coding for Improving the Fairness of Long-Hop TCP Flows in a Multi-Hop Wireless Network
YO Lee, MK Singh
Technical Report-Dept. of Electrical and Computer Engineering, Texas University, 2010
32010
CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems
S Suh, H Lee, P Lukowicz, YO Lee
Neural Networks, 2020
22020
Reaching approximate Wardrop equilibrium at reduced costs of link state updates
YO Lee, B Rengarajany, ALN Reddy
2011 Third International Conference on Communication Systems and Networks …, 2011
22011
Two-Stage Generative Adversarial Networks for Document Image Binarization with Color Noise and Background Removal
S Suh, J Kim, P Lukowicz, YO Lee
arXiv preprint arXiv:2010.10103, 2020
12020
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label
S Suh, P Lukowicz, YO Lee
arXiv preprint arXiv:2008.11440, 2020
12020
Deep learning analysis of binding behavior of virus displayed peptides to AuNPs
H Lee, J Jo, YO Lee, KZ Nuriye, L Abelmann
International Conference on Practical Applications of Computational Biology …, 2018
12018
Improving efficiency and effectiveness of multipath routing in computer networks
YO Lee
Texas A & M University, 2012
12012
Discriminative feature generation for classification of imbalanced data
S Suh, P Lukowicz, YO Lee
arXiv preprint arXiv:2010.12888, 2020
2020
Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation
S Lim, YO Lee
arXiv preprint arXiv:2010.11272, 2020
2020
Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear
S Suh, J Jang, S Won, MS Jha, YO Lee
Sensors 20 (20), 5846, 2020
2020
The Effect of Resampling on Data‐Imbalanced Conditions for Prediction towards Nuclear Receptor Profiling Using Deep Learning
YJK Yong Oh Lee
Molecular Informatics, 2020
2020
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