nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A learning approach with incomplete pixel-level labels for deep neural networks
|
Nguyen, Nhu-Van |
|
|
130 |
C |
p. 111-125 |
artikel |
2 |
A novel feature representation: Aggregating convolution kernels for image retrieval
|
Wang, Qi |
|
|
130 |
C |
p. 1-10 |
artikel |
3 |
A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling
|
Li, Wenjing |
|
|
130 |
C |
p. 269-285 |
artikel |
4 |
Asynchronous dissipative filtering for nonhomogeneous Markov switching neural networks with variable packet dropouts
|
Zhou, Xia |
|
|
130 |
C |
p. 229-237 |
artikel |
5 |
Block-term tensor neural networks
|
Ye, Jinmian |
|
|
130 |
C |
p. 11-21 |
artikel |
6 |
Controller design for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks with uncertain parameters and time-varying delays
|
Arslan, Emel |
|
|
130 |
C |
p. 60-74 |
artikel |
7 |
Current Events
|
|
|
|
130 |
C |
p. I |
artikel |
8 |
Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction
|
Mrabah, Nairouz |
|
|
130 |
C |
p. 206-228 |
artikel |
9 |
Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities
|
Li, Jiahui |
|
|
130 |
C |
p. 143-151 |
artikel |
10 |
Discretely-constrained deep network for weakly supervised segmentation
|
Peng, Jizong |
|
|
130 |
C |
p. 297-308 |
artikel |
11 |
Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals
|
Shah, Syed Aamir Ali |
|
|
130 |
C |
p. 75-84 |
artikel |
12 |
Editorial Board
|
|
|
|
130 |
C |
p. ii |
artikel |
13 |
Feature fusion via Deep Random Forest for facial age estimation
|
Guehairia, O. |
|
|
130 |
C |
p. 238-252 |
artikel |
14 |
Fixed-time synchronization of stochastic memristor-based neural networks with adaptive control
|
Ren, Hongwei |
|
|
130 |
C |
p. 165-175 |
artikel |
15 |
Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
|
Deng, Muqing |
|
|
130 |
C |
p. 22-32 |
artikel |
16 |
Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines
|
Shen, Yanyan |
|
|
130 |
C |
p. 126-142 |
artikel |
17 |
Hybrid neural network with cost-sensitive support vector machine for class-imbalanced multimodal data
|
Kim, Kyung Hye |
|
|
130 |
C |
p. 176-184 |
artikel |
18 |
INN/ENNS/JNNS - Membership Applic. Form
|
|
|
|
130 |
C |
p. II |
artikel |
19 |
Investigating object compositionality in Generative Adversarial Networks
|
van Steenkiste, Sjoerd |
|
|
130 |
C |
p. 309-325 |
artikel |
20 |
k-hop graph neural networks
|
Nikolentzos, Giannis |
|
|
130 |
C |
p. 195-205 |
artikel |
21 |
Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization
|
Lian, Cheng |
|
|
130 |
C |
p. 286-296 |
artikel |
22 |
Learning explicitly transferable representations for domain adaptation
|
Jing, Mengmeng |
|
|
130 |
C |
p. 39-48 |
artikel |
23 |
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness
|
Jin, Pengzhan |
|
|
130 |
C |
p. 85-99 |
artikel |
24 |
Quantum neural networks model based on swap test and phase estimation
|
Li, Panchi |
|
|
130 |
C |
p. 152-164 |
artikel |
25 |
R-ELMNet: Regularized extreme learning machine network
|
Zhang, Guanghao |
|
|
130 |
C |
p. 49-59 |
artikel |
26 |
Self-organizing subspace clustering for high-dimensional and multi-view data
|
Araújo, Aluizio F.R. |
|
|
130 |
C |
p. 253-268 |
artikel |
27 |
Stability of delayed inertial neural networks on time scales: A unified matrix-measure approach
|
Xiao, Qiang |
|
|
130 |
C |
p. 33-38 |
artikel |
28 |
Towards explainable deep neural networks (xDNN)
|
Angelov, Plamen |
|
|
130 |
C |
p. 185-194 |
artikel |
29 |
Visual interaction networks: A novel bio-inspired computational model for image classification
|
Wei, Bing |
|
|
130 |
C |
p. 100-110 |
artikel |