| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A new discrete-time neural network for quadratic programming with general linear constraints
|
Mohammadi, Majid
|
|
|
424 |
C |
p. 107-116
|
artikel
|
| 2 |
A novel automatic classification detection for epileptic seizure based on dictionary learning and sparse representation
|
Peng, Hong
|
|
|
424 |
C |
p. 179-192
|
artikel
|
| 3 |
A partial policy iteration ADP algorithm for nonlinear neuro-optimal control with discounted total reward
|
Liang, Mingming
|
|
|
424 |
C |
p. 23-34
|
artikel
|
| 4 |
Boosting prior knowledge in streaming variational Bayes
|
Nguyen, Duc Anh
|
|
|
424 |
C |
p. 143-159
|
artikel
|
| 5 |
Design of impulsive controllers and impulsive control strategy for the Mittag-Leffler stability behavior of fractional gene regulatory networks
|
Stamov, Trayan
|
|
|
424 |
C |
p. 54-62
|
artikel
|
| 6 |
Discrete-time high-order neural network identifier trained with high-order sliding mode observer and unscented Kalman filter
|
Hernandez-Gonzalez, M.
|
|
|
424 |
C |
p. 172-178
|
artikel
|
| 7 |
Distribution equalization learning mechanism for road crack detection
|
Fang, Jie
|
|
|
424 |
C |
p. 193-204
|
artikel
|
| 8 |
Editorial Board
|
|
|
|
424 |
C |
p. ii-iii
|
artikel
|
| 9 |
Event-triggered state estimation for Markovian jumping neural networks: On mode-dependent delays and uncertain transition probabilities
|
Yang, Hua
|
|
|
424 |
C |
p. 226-235
|
artikel
|
| 10 |
Formation-containment control for multi-agent systems with sampled data and time delays
|
Zhang, Jinxin
|
|
|
424 |
C |
p. 125-131
|
artikel
|
| 11 |
Fractional-order controllability of multi-agent systems with time-delay
|
Liu, Bo
|
|
|
424 |
C |
p. 268-277
|
artikel
|
| 12 |
Instance search based on weakly supervised feature learning
|
Lin, Jie
|
|
|
424 |
C |
p. 117-124
|
artikel
|
| 13 |
Integrated deep learning method for workload and resource prediction in cloud systems
|
Bi, Jing
|
|
|
424 |
C |
p. 35-48
|
artikel
|
| 14 |
Joint offloading and scheduling decisions for DAG applications in mobile edge computing
|
Liang, Jie
|
|
|
424 |
C |
p. 160-171
|
artikel
|
| 15 |
LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization
|
Wang, Mei-Neng
|
|
|
424 |
C |
p. 236-245
|
artikel
|
| 16 |
Light fixed-time control for cluster synchronization of complex networks
|
Jiang, Shengqin
|
|
|
424 |
C |
p. 63-70
|
artikel
|
| 17 |
Minor class-based status detection for pipeline network using enhanced generative adversarial networks
|
Hu, Xuguang
|
|
|
424 |
C |
p. 71-83
|
artikel
|
| 18 |
MOGPTK: The multi-output Gaussian process toolkit
|
de Wolff, Taco
|
|
|
424 |
C |
p. 49-53
|
artikel
|
| 19 |
Multiple kernel clustering with pure graph learning scheme
|
Li, Xingfeng
|
|
|
424 |
C |
p. 215-225
|
artikel
|
| 20 |
Neural-network-based decentralized output-feedback control for nonlinear large-scale delayed systems with unknown dead-zones and virtual control coefficients
|
Wang, Honghong
|
|
|
424 |
C |
p. 255-267
|
artikel
|
| 21 |
Noise-tolerant neural algorithm for online solving Yang-Baxter-type matrix equation in the presence of noises: A control-based method
|
Shi, Tian
|
|
|
424 |
C |
p. 84-96
|
artikel
|
| 22 |
No-reference stereoscopic image quality assessment based on global and local content characteristics
|
Shen, Lili
|
|
|
424 |
C |
p. 132-142
|
artikel
|
| 23 |
Self-paced active learning for deep CNNs via effective loss function
|
Yin, Tianxiang
|
|
|
424 |
C |
p. 1-8
|
artikel
|
| 24 |
The generalization error of graph convolutional networks may enlarge with more layers
|
Zhou, Xianchen
|
|
|
424 |
C |
p. 97-106
|
artikel
|
| 25 |
Unsupervised anomaly segmentation via deep feature reconstruction
|
Shi, Yong
|
|
|
424 |
C |
p. 9-22
|
artikel
|
| 26 |
Using a low correlation high orthogonality feature set and machine learning methods to identify plant pentatricopeptide repeat coding gene/protein
|
Feng, Changli
|
|
|
424 |
C |
p. 246-254
|
artikel
|
| 27 |
Utility-efficient differentially private K-means clustering based on cluster merging
|
Ni, Tianjiao
|
|
|
424 |
C |
p. 205-214
|
artikel
|
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