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IEEE Transactions on Evolutionary Computation, ISSN 1089-778X, 1/2019, Volume 23, Issue 6, pp. 1 - 1
Generative adversarial networks (GAN) have been effective for learning generative models for real-world data. However, accompanied with the generative tasks... 
Training | Computational modeling | Evolutionary computation | Generative adversarial networks | Generators | Gallium nitride | Task analysis | deep generative models
Journal Article
IEEE Access, ISSN 2169-3536, 2019, Volume 7, pp. 28158 - 28169
Recently introduced generative adversarial networks (GANs) have been shown numerous promising results to generate realistic samples. In the last couple of... 
Training | Input variables | Generative adversarial networks | Generators | sample generation | Artificial neural network | generative model | Face | Gallium nitride | generative adversarial networks | COMPUTER SCIENCE, INFORMATION SYSTEMS | TELECOMMUNICATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Pattern Recognition, ISSN 0031-3203, 04/2019, Volume 88, pp. 493 - 505
Recently, generative adversarial networks (GANs) have demonstrated high-quality reconstruction in face completion. There is still much room for improvement... 
Face completion | Laplacian pyramid | Generative adversarial network | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Robotics industry
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 7/2019, pp. 1 - 11
Network embedding is capable of providing low-dimensional feature representations for various machine learning applications. Current work focuses on: 1)... 
Generative adversarial model | Machine learning | link prediction | Predictive models | Generative adversarial networks | Linear programming | Wasserstein distance | Generators | Task analysis | Gallium nitride | network embedding | network alignment
Journal Article
Energy & Buildings, ISSN 0378-7788, 09/2018, Volume 174, pp. 372 - 379
Due to the energy crisis and the awareness of sustainable development, the research on energy-efficient buildings has increasingly attracted attention. To... 
Neural networks | Building occupancy modeling | Generative adversarial network | ENGINEERING, CIVIL | CONSTRUCTION & BUILDING TECHNOLOGY | ENERGY & FUELS | SIMULATION | Architecture and energy conservation | Control systems | Models | Sustainable development | Environmental engineering
Journal Article
Electronics Letters, ISSN 0013-5194, 01/2019, Volume 55, Issue 2, pp. 88 - 90
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2019, Volume 28, Issue 12, pp. 6225 - 6236
Though generative adversarial networks (GANs) can hallucinate high-quality high-resolution (HR) faces from low-resolution (LR) faces, they cannot ensure... 
generative adversarial networks | convolutional neural networks | generative model | super-resolution | Face hallucination
Journal Article
IEEE Transactions on Medical Imaging, ISSN 0278-0062, 9/2019, pp. 1 - 1
Machine learning has been widely used in medical image analysis under an assumption that the training and test data are under the same feature distributions.... 
style transfer | noise adaptation | medical image analysis | Generative adversarial network
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2016, Volume 9907, pp. 702 - 716
Conference Proceeding
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 11/2019, Volume 29, Issue 11, pp. 3211 - 3221
Existence of haze significantly degrades visual quality and hence negatively affects the performance of visual surveillance, video analysis, and human-machine... 
generative adversarial network | Visualization | Atmospheric modeling | Scattering | convolutional neural network | Generative adversarial networks | Feature extraction | visual quality improvement | Generators | Image restoration | Dehazing | FUSION | FEATURES | ENGINEERING, ELECTRICAL & ELECTRONIC | VISIBILITY | FRAMEWORK | IMAGE QUALITY ASSESSMENT
Journal Article
Geophysical Research Letters, ISSN 0094-8276, 06/2019, Volume 46, Issue 12, pp. 7035 - 7044
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 11/2019, Volume 133, pp. 1 - 8
A class imbalance problem occurs when a particular class of data is significantly more or less than another class of data. This problem is difficult to solve;... 
Outlier detection | Oversampling | Class imbalance problem | Generative adversarial network
Journal Article
International Journal of Computer Vision, ISSN 0920-5691, 6/2019, Volume 127, Issue 6, pp. 763 - 784
Journal Article
by Oh, JH and Hong, JY and Baek, JG
EXPERT SYSTEMS WITH APPLICATIONS, ISSN 0957-4174, 11/2019, Volume 133, pp. 1 - 8
A class imbalance problem occurs when a particular class of data is significantly more or less than another class of data. This problem is difficult to solve;... 
OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Class imbalance problem | Generative adversarial network | Outlier detection | Oversampling | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 08/2018, Volume 27, Issue 8, pp. 4066 - 4079
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 5/2019, pp. 1 - 1
weather conditions such as rain and snow adversely affect the visual quality of images captured under such conditions thus rendering them useless for further... 
Training | Visualization | Rain | single image de-raining | perceptual loss | Generative adversarial network | Generative adversarial networks | de-snowing | Generators | Task analysis
Journal Article
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