nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A classifier task based on Neural Turing Machine and particle swarm algorithm
|
Faradonbe, Soroor Malekmohamadi |
|
|
396 |
C |
p. 133-152 |
artikel |
2 |
Adaptive dynamic programming based event-triggered control for unknown continuous-time nonlinear systems with input constraints
|
Xue, Shan |
|
|
396 |
C |
p. 191-200 |
artikel |
3 |
Adaptive optimal tracking control for nonlinear continuous-time systems with time delay using value iteration algorithm
|
Shi, Jing |
|
|
396 |
C |
p. 172-178 |
artikel |
4 |
A data-efficient deep learning approach for deployable multimodal social robots
|
Cuayáhuitl, Heriberto |
|
|
396 |
C |
p. 587-598 |
artikel |
5 |
A deep learning based multitask model for network-wide traffic speed prediction
|
Zhang, Kunpeng |
|
|
396 |
C |
p. 438-450 |
artikel |
6 |
A deep learning interpretable classifier for diabetic retinopathy disease grading
|
de la Torre, Jordi |
|
|
396 |
C |
p. 465-476 |
artikel |
7 |
A joint guidance-enhanced perceptual encoder and atrous separable pyramid-convolutions for image inpainting
|
Zhang, Yongle |
|
|
396 |
C |
p. 1-12 |
artikel |
8 |
A new hybrid deep signal processing approach for bearing fault diagnosis using vibration signals
|
He, Miao |
|
|
396 |
C |
p. 542-555 |
artikel |
9 |
A new robust output tracking control for discrete-time switched constrained-input systems with uncertainty via a critic-only iteration learning method
|
Zhang, Kun |
|
|
396 |
C |
p. 162-171 |
artikel |
10 |
A novel time series forecasting model with deep learning
|
Shen, Zhipeng |
|
|
396 |
C |
p. 302-313 |
artikel |
11 |
A self-organizing deep belief network based on information relevance strategy
|
Wang, Ying-Xu |
|
|
396 |
C |
p. 241-253 |
artikel |
12 |
A sequential deep learning application for recognising human activities in smart homes
|
Liciotti, Daniele |
|
|
396 |
C |
p. 501-513 |
artikel |
13 |
Asymptotically stable critic designs for approximate optimal stabilization of nonlinear systems subject to mismatched external disturbances
|
Zhao, Bo |
|
|
396 |
C |
p. 201-208 |
artikel |
14 |
Automatic detection of anatomical landmarks in brain MR scanning using multi-task deep neural networks
|
Yang, Xulei |
|
|
396 |
C |
p. 514-521 |
artikel |
15 |
A very deep two-stream network for crowd type recognition
|
Wei, Xinlei |
|
|
396 |
C |
p. 522-533 |
artikel |
16 |
Concurrent optimization of multiple base learners in neural network ensembles: An adaptive niching differential evolution approach
|
Huang, Ting |
|
|
396 |
C |
p. 24-38 |
artikel |
17 |
Consensus of fractional-order delayed multi-agent systems in Riemann–Liouville sense
|
Yang, Ran |
|
|
396 |
C |
p. 123-129 |
artikel |
18 |
Coordinated behavior of cooperative agents using deep reinforcement learning
|
Diallo, Elhadji Amadou Oury |
|
|
396 |
C |
p. 230-240 |
artikel |
19 |
Correlational Convolutional LSTM for human action recognition
|
Majd, Mahshid |
|
|
396 |
C |
p. 224-229 |
artikel |
20 |
Coupled ensembles of neural networks
|
Dutt, Anuvabh |
|
|
396 |
C |
p. 346-357 |
artikel |
21 |
Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty
|
Gao, Xin |
|
|
396 |
C |
p. 487-494 |
artikel |
22 |
Data-driven and deep learning-based detection and diagnosis of incipient faults with application to electrical traction systems
|
Chen, Hongtian |
|
|
396 |
C |
p. 429-437 |
artikel |
23 |
Deep learning-based visual ensemble method for high-speed railway catenary clevis fracture detection
|
Han, Ye |
|
|
396 |
C |
p. 556-568 |
artikel |
24 |
Deep Learning Clusters in the Cognitive Packet Network
|
Serrano, Will |
|
|
396 |
C |
p. 406-428 |
artikel |
25 |
Deep learning neural networks: Methods, systems, and applications
|
Wei, Qinglai |
|
|
396 |
C |
p. 130-132 |
artikel |
26 |
Deep multi-center learning for face alignment
|
Shao, Zhiwen |
|
|
396 |
C |
p. 477-486 |
artikel |
27 |
Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE
|
Yuan, Xiaofeng |
|
|
396 |
C |
p. 375-382 |
artikel |
28 |
Deep successor feature learning for text generation
|
Xu, Cong |
|
|
396 |
C |
p. 495-500 |
artikel |
29 |
Domain adaptation with SBADA-GAN and Mean Teacher
|
Feng, Chengjian |
|
|
396 |
C |
p. 577-586 |
artikel |
30 |
DRM-SLAM: Towards dense reconstruction of monocular SLAM with scene depth fusion
|
Ye, Xinchen |
|
|
396 |
C |
p. 76-91 |
artikel |
31 |
DTC: Transfer learning for commonsense machine comprehension
|
Han, Weiguang |
|
|
396 |
C |
p. 102-112 |
artikel |
32 |
Dual-CNN: A Convolutional language decoder for paragraph image captioning
|
Li, Ruifan |
|
|
396 |
C |
p. 92-101 |
artikel |
33 |
Editorial Board
|
|
|
|
396 |
C |
p. ii-iii |
artikel |
34 |
Face sketch-to-photo transformation with multi-scale self-attention GAN
|
Lei, Yingtao |
|
|
396 |
C |
p. 13-23 |
artikel |
35 |
Fine-grained image analysis via progressive feature learning
|
Yan, Yichao |
|
|
396 |
C |
p. 254-265 |
artikel |
36 |
Hierarchical temporal memory and recurrent neural networks for time series prediction: An empirical validation and reduction to multilayer perceptrons
|
Struye, Jakob |
|
|
396 |
C |
p. 291-301 |
artikel |
37 |
Hybrid method for automatic construction of 3D-ASM image intensity models for left ventricle
|
Hu, Huaifei |
|
|
396 |
C |
p. 65-75 |
artikel |
38 |
Image classification with an RGB-channel nonsubsampled contourlet transform and a convolutional neural network
|
Fang, Lingling |
|
|
396 |
C |
p. 266-277 |
artikel |
39 |
Integrating pixels and segments: A deep-learning method inspired by the informational diversity of the visual pathways
|
Tang, Xue-song |
|
|
396 |
C |
p. 314-323 |
artikel |
40 |
Joint blur kernel estimation and CNN for blind image restoration
|
Huang, Liqing |
|
|
396 |
C |
p. 324-345 |
artikel |
41 |
Learning to detect Android malware via opcode sequences
|
Pektaş, Abdurrahman |
|
|
396 |
C |
p. 599-608 |
artikel |
42 |
Minimal learning parameters-based adaptive neural control for vehicle active suspensions with input saturation
|
Zhang, Yanqi |
|
|
396 |
C |
p. 153-161 |
artikel |
43 |
Multi-branch convolutional neural network for built-up area extraction from remote sensing image
|
Tan, Yihua |
|
|
396 |
C |
p. 358-374 |
artikel |
44 |
Multilayer probability extreme learning machine for device-free localization
|
Zhang, Jie |
|
|
396 |
C |
p. 383-393 |
artikel |
45 |
Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy
|
Yang, Lingxiao |
|
|
396 |
C |
p. 216-223 |
artikel |
46 |
Neural-network-based tracking Control for a Class of time-delay nonlinear systems with unmodeled dynamics
|
Wang, Huanqing |
|
|
396 |
C |
p. 179-190 |
artikel |
47 |
Real-time moisture control in sintering process using offline–online NARX neural networks
|
Jiang, Yushan |
|
|
396 |
C |
p. 209-215 |
artikel |
48 |
Recent advances in deep learning for object detection
|
Wu, Xiongwei |
|
|
396 |
C |
p. 39-64 |
artikel |
49 |
Scalp EEG epileptogenic zone recognition and localization based on long-term recurrent convolutional network
|
Liang, Weixia |
|
|
396 |
C |
p. 569-576 |
artikel |
50 |
Segmented convolutional gated recurrent neural networks for human activity recognition in ultra-wideband radar
|
Du, Hao |
|
|
396 |
C |
p. 451-464 |
artikel |
51 |
Semantic deep cross-modal hashing
|
Lin, Qiubin |
|
|
396 |
C |
p. 113-122 |
artikel |
52 |
The Random Neural Network with Deep Learning Clusters in Smart Search
|
Serrano, Will |
|
|
396 |
C |
p. 394-405 |
artikel |
53 |
Training binary neural networks with knowledge transfer
|
Leroux, Sam |
|
|
396 |
C |
p. 534-541 |
artikel |
54 |
Two birds with one stone: Transforming and generating facial images with iterative GAN
|
Ma, Dan |
|
|
396 |
C |
p. 278-290 |
artikel |