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IEEE Transactions on Information Theory, ISSN 0018-9448, 01/2019, Volume 65, Issue 1, pp. 198 - 219
Journal Article
IEEE Transactions on Evolutionary Computation, ISSN 1089-778X, 1/2019, 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
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 12/2018, pp. 3194 - 3203
Conference Proceeding
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
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 11/2018, pp. 1 - 1
Different from after-the-fact action recognition, action prediction task requires action labels to be predicted from partially observed videos containing... 
Training | Sequential Context | Adversarial Learning | Variational Autoencoder | Prediction methods | Feature extraction | Action Recognition | Decoding | Action Prediction | Task analysis | Videos | Accidents
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 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
Fuzzy Sets and Systems, ISSN 0165-0114, 08/2019, Volume 368, pp. 20 - 35
Adversarial machine learning copes with the development of methods to prevent machine learning algorithms from being misled by malicious users. This field is... 
Learning | Data analysis | Adversarial Machine Learning | Fuzzy system models | Network Security | MATHEMATICS, APPLIED | STATISTICS & PROBABILITY | COMPUTER SCIENCE, THEORY & METHODS | MACHINE | Security software | Algorithms | Analysis | Security systems | Machine learning | Rankings | Information management | Data mining | Spyware
Journal Article
Electronics Letters, ISSN 0013-5194, 01/2019, Volume 55, Issue 2, pp. 88 - 90
Journal Article
Journal Article
by Lan, GQ and Zhou, JY and Xu, RF and Lu, Q and Wang, HP
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, ISSN 1661-6596, 07/2019, Volume 20, Issue 14, p. 3425
Transcription factor binding sites (TFBSs) play an important role in gene expression regulation. Many computational methods for TFBS prediction need sufficient... 
deep learning | Convolutional Neural Network | Adversarial Network | cross-cell-type | OPEN-ACCESS DATABASE | TF-binding site | JASPAR | DNA | BIOCHEMISTRY & MOLECULAR BIOLOGY | UPDATE | CHEMISTRY, MULTIDISCIPLINARY | TOOLS | Index Medicus
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 08/2019, Volume 26, Issue 8, pp. 1152 - 1156
Noise and artifacts are intrinsic to low-dose computed tomography (LDCT) data acquisition, and will significantly affect the imaging performance. Perfect noise... 
visual attention | generative adversarial network | Visualization | Computed tomography | Noise reduction | Feature extraction | Generators | Image restoration | Gallium nitride | Low-dose CT (LDCT) | REDUCTION | RECONSTRUCTION | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Neurocomputing, ISSN 0925-2312, 11/2018, Volume 315, pp. 412 - 424
Fault diagnosis of rolling bearing has been research focus to improve the productivity and guarantee the operation security. In general, traditional approaches... 
Generative adversarial networks | Categorical generative adversarial networks | Unsupervised fault diagnosis | Adversarial autoencoders | Unsupervised clustering | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Neural networks
Journal Article
ACM Transactions on Intelligent Systems and Technology (TIST), ISSN 2157-6904, 07/2017, Volume 8, Issue 4, pp. 1 - 22
Network level surveillance, censorship, and various man-in-the-middle attacks target only specific types of network traffic (e.g., HTTP, HTTPS, VoIP, or... 
Adversarial model | COMPUTER SCIENCE, INFORMATION SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
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 | Energy modeling | Energy efficiency | Buildings | Occupancy rates
Journal Article
Medical Physics, ISSN 0094-2405, 02/2019, Volume 46, Issue 2, pp. 550 - 562
PurposeIn multiphase coronary CT angiography (CTA), a series of CT images are taken at different levels of radiation dose during the examination. Although this... 
deep learning | adversarial neural network | low‐dose CT | multiphase coronary CT angiography | cycle consistency | unsupervised learning | low-dose CT | RECONSTRUCTION | ALGORITHM | NOISE | DEEP CONVOLUTIONAL FRAMELETS | REDUCTION | IMAGE QUALITY | NEURAL-NETWORK | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Index Medicus
Journal Article
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