Yong Oh Lee
Cited by
Cited by
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
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
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
CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems
S Suh, H Lee, P Lukowicz, YO Lee
Neural Networks 133, 69-86, 2021
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
Constructing disjoint paths for failure recovery and multipath routing
YO Lee, ALN Reddy
Computer Networks 56 (2), 719-730, 2012
Disjoint multi-path routing and failure recovery
YO Lee, ALN Reddy
2010 IEEE International Conference on Communications, 1-6, 2010
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
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
Discriminative feature generation for classification of imbalanced data
S Suh, P Lukowicz, YO Lee
Pattern Recognition 122, 108302, 2022
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
S Suh, P Lukowicz, YO Lee
Knowledge-Based Systems 237, 107866, 2022
Predicting chemical properties using self-attention multi-task learning based on SMILES representation
S Lim, YO Lee
2020 25th International Conference on Pattern Recognition (ICPR), 3146-3153, 2021
Fusion of global-local features for image quality inspection of shipping label
S Suh, P Lukowicz, YO Lee
2020 25th International Conference on Pattern Recognition (ICPR), 2643-2649, 2021
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
The Effect of Resampling on Data‐Imbalanced Conditions for Prediction towards Nuclear Receptor Profiling Using Deep Learning
YJK Yong Oh Lee
Molecular Informatics, 2020
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
Multipath routing for reducing network energy
YO Lee, ALN Reddy
2012 IEEE Online Conference on Green Communications (GreenCom), 44-49, 2012
COVID-19 through adverse outcome pathways: Building networks to better understand the disease–3rd CIAO AOP Design Workshop
LA Clerbaux, N Amigó, MJ Amorim, A Bal-Price, SB Leite, A Beronius, ...
ALTEX-Alternatives to animal experimentation 39 (2), 322-335, 2022
Advanced adverse outcome pathways potentially bridging the pathogenesis of COVID-19
CG Park, SR Lim, I Jun, YO Lee
Preprints, 2021
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
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