| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A comparative analysis of multi-biometrics performance in human and action recognition using silhouette thermal-face and skeletal data
|
Kurban, Onur Can
|
|
|
170 |
C |
p. 1-17
|
artikel
|
| 2 |
AdjointBackMapV2: Precise reconstruction of arbitrary CNN unit’s activation via adjoint operators
|
Wan, Qing
|
|
|
170 |
C |
p. 55-71
|
artikel
|
| 3 |
A filter-augmented auto-encoder with learnable normalization for robust multivariate time series anomaly detection
|
Yu, Jiahao
|
|
|
170 |
C |
p. 478-493
|
artikel
|
| 4 |
An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control
|
Guo, Delin
|
|
|
170 |
C |
p. 610-621
|
artikel
|
| 5 |
A novel fixed-time error-monitoring neural network for solving dynamic quaternion-valued Sylvester equations
|
Xiao, Lin
|
|
|
170 |
C |
p. 494-505
|
artikel
|
| 6 |
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG
|
Gosti, Giorgio
|
|
|
170 |
C |
p. 72-93
|
artikel
|
| 7 |
A start–stop points CenterNet for wideband signals detection and time–frequency localization in spectrum sensing
|
Cheng, Teng
|
|
|
170 |
C |
p. 325-336
|
artikel
|
| 8 |
A versatile Wavelet-Enhanced CNN-Transformer for improved fluorescence microscopy image restoration
|
Wang, Qinghua
|
|
|
170 |
C |
p. 227-241
|
artikel
|
| 9 |
Boosting semi-supervised learning with Contrastive Complementary Labeling
|
Deng, Qinyi
|
|
|
170 |
C |
p. 417-426
|
artikel
|
| 10 |
Boundary uncertainty aware network for automated polyp segmentation
|
Yue, Guanghui
|
|
|
170 |
C |
p. 390-404
|
artikel
|
| 11 |
BrainGridNet: A two-branch depthwise CNN for decoding EEG-based multi-class motor imagery
|
Wang, Xingfu
|
|
|
170 |
C |
p. 312-324
|
artikel
|
| 12 |
Classification of DBS microelectrode recordings using a residual neural network with attention in the temporal domain
|
Ciecierski, K.A.
|
|
|
170 |
C |
p. 18-31
|
artikel
|
| 13 |
Combining external-latent attention for medical image segmentation
|
Song, Enmin
|
|
|
170 |
C |
p. 468-477
|
artikel
|
| 14 |
CT-Net: Asymmetric compound branch Transformer for medical image segmentation
|
Zhang, Ning
|
|
|
170 |
C |
p. 298-311
|
artikel
|
| 15 |
CURRENT EVENTS
|
|
|
|
170 |
C |
p. I
|
artikel
|
| 16 |
CVANet: Cascaded visual attention network for single image super-resolution
|
Zhang, Weidong
|
|
|
170 |
C |
p. 622-634
|
artikel
|
| 17 |
Deep Kernel Principal Component Analysis for multi-level feature learning
|
Tonin, Francesco
|
|
|
170 |
C |
p. 578-595
|
artikel
|
| 18 |
Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning
|
Xu, Chenxin
|
|
|
170 |
C |
p. 564-577
|
artikel
|
| 19 |
Dynamic learning from adaptive neural control for full-state constrained strict-feedback nonlinear systems
|
Yang, Qinchen
|
|
|
170 |
C |
p. 596-609
|
artikel
|
| 20 |
Editorial Board
|
|
|
|
170 |
C |
p. ii
|
artikel
|
| 21 |
Event-triggered impulsive cluster synchronization of coupled reaction–diffusion neural networks and its application to image encryption
|
Hui, Minghao
|
|
|
170 |
C |
p. 46-54
|
artikel
|
| 22 |
Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks
|
Shen, Guobin
|
|
|
170 |
C |
p. 190-201
|
artikel
|
| 23 |
Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features
|
Sun, Tongfeng
|
|
|
170 |
C |
p. 453-467
|
artikel
|
| 24 |
Foreground segmentation network using transposed convolutional neural networks and up sampling for multiscale feature encoding
|
Gowda, Vishruth B.
|
|
|
170 |
C |
p. 167-175
|
artikel
|
| 25 |
Genetic high-gain controller to improve the position perturbation attenuation and compact high-gain controller to improve the velocity perturbation attenuation in inverted pendulums
|
de Jesús Rubio, José
|
|
|
170 |
C |
p. 32-45
|
artikel
|
| 26 |
Graph embedding-based heterogeneous domain adaptation with domain-invariant feature learning and distributional order preserving
|
Wang, Wenxu
|
|
|
170 |
C |
p. 427-440
|
artikel
|
| 27 |
Grounding spatial relations in text-only language models
|
Azkune, Gorka
|
|
|
170 |
C |
p. 215-226
|
artikel
|
| 28 |
Hierarchical attention network with progressive feature fusion for facial expression recognition
|
Tao, Huanjie
|
|
|
170 |
C |
p. 337-348
|
artikel
|
| 29 |
Human–Object Interaction detection via Global Context and Pairwise-level Fusion Features Integration
|
Wang, Haozhong
|
|
|
170 |
C |
p. 242-253
|
artikel
|
| 30 |
INN/ENNS/JNNS - Membership Applic. Form
|
|
|
|
170 |
C |
p. II
|
artikel
|
| 31 |
IoUformer: Pseudo-IoU prediction with transformer for visual tracking
|
Cai, Huayue
|
|
|
170 |
C |
p. 548-563
|
artikel
|
| 32 |
LDCNet: Lightweight dynamic convolution network for laparoscopic procedures image segmentation
|
Yin, Yiyang
|
|
|
170 |
C |
p. 441-452
|
artikel
|
| 33 |
Learning deep representation and discriminative features for clustering of multi-layer networks
|
Wu, Wenming
|
|
|
170 |
C |
p. 405-416
|
artikel
|
| 34 |
LFighter: Defending against the label-flipping attack in federated learning
|
Jebreel, Najeeb Moharram
|
|
|
170 |
C |
p. 111-126
|
artikel
|
| 35 |
List of Editorial Board Members
|
|
|
|
170 |
C |
p. iii-xii
|
artikel
|
| 36 |
Markov chain stochastic DCA and applications in deep learning with PDEs regularization
|
Luu, Hoang Phuc Hau
|
|
|
170 |
C |
p. 149-166
|
artikel
|
| 37 |
MCNet: A multi-level context-aware network for the segmentation of adrenal gland in CT images
|
Li, Jinhao
|
|
|
170 |
C |
p. 136-148
|
artikel
|
| 38 |
Mean square exponential stabilization analysis of stochastic neural networks with saturated impulsive input
|
Deng, Hao
|
|
|
170 |
C |
p. 127-135
|
artikel
|
| 39 |
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
|
Fu, Xinyu
|
|
|
170 |
C |
p. 266-275
|
artikel
|
| 40 |
Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation
|
Koide-Majima, Naoko
|
|
|
170 |
C |
p. 349-363
|
artikel
|
| 41 |
Multi-Adaptive Optimization for multi-task learning with deep neural networks
|
Hervella, Álvaro S.
|
|
|
170 |
C |
p. 254-265
|
artikel
|
| 42 |
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
|
Thwal, Chu Myaet
|
|
|
170 |
C |
p. 635-649
|
artikel
|
| 43 |
Powerful-IoU: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism
|
Liu, Can
|
|
|
170 |
C |
p. 276-284
|
artikel
|
| 44 |
Sampled-data controller scheme for multi-agent systems and its Application to circuit network
|
Stephen, A.
|
|
|
170 |
C |
p. 506-520
|
artikel
|
| 45 |
SLAPP: Subgraph-level attention-based performance prediction for deep learning models
|
Wang, Zhenyi
|
|
|
170 |
C |
p. 285-297
|
artikel
|
| 46 |
Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing
|
Wikner, Alexander
|
|
|
170 |
C |
p. 94-110
|
artikel
|
| 47 |
Star algorithm for neural network ensembling
|
Zinchenko, Sergey
|
|
|
170 |
C |
p. 364-375
|
artikel
|
| 48 |
SVD-AE: An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection
|
Yao, Yueyue
|
|
|
170 |
C |
p. 535-547
|
artikel
|
| 49 |
Teacher–student complementary sample contrastive distillation
|
Bao, Zhiqiang
|
|
|
170 |
C |
p. 176-189
|
artikel
|
| 50 |
Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks
|
Barradas, Victor R.
|
|
|
170 |
C |
p. 376-389
|
artikel
|
| 51 |
Unsupervised image enhancement under non-uniform illumination based on paired CNNs
|
Lin, Feng
|
|
|
170 |
C |
p. 202-214
|
artikel
|
| 52 |
UTDNet: A unified triplet decoder network for multimodal salient object detection
|
Huo, Fushuo
|
|
|
170 |
C |
p. 521-534
|
artikel
|
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