| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adaptive 2-bits-triggered neural control for uncertain nonlinear multi-agent systems with full state constraints
|
Chen, Zicong
|
|
|
153 |
C |
p. 37-48
|
artikel
|
| 2 |
A new predefined-time stability theorem and its application in the synchronization of memristive complex-valued BAM neural networks
|
Liu, Aidi
|
|
|
153 |
C |
p. 152-163
|
artikel
|
| 3 |
Approximation in shift-invariant spaces with deep ReLU neural networks
|
Yang, Yunfei
|
|
|
153 |
C |
p. 269-281
|
artikel
|
| 4 |
Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks
|
Gu, Linyan
|
|
|
153 |
C |
p. 49-63
|
artikel
|
| 5 |
Approximation rates of DeepONets for learning operators arising from advection–diffusion equations
|
Deng, Beichuan
|
|
|
153 |
C |
p. 411-426
|
artikel
|
| 6 |
A survey for deep reinforcement learning in markovian cyber–physical systems: Common problems and solutions
|
Rupprecht, Timothy
|
|
|
153 |
C |
p. 13-36
|
artikel
|
| 7 |
A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics
|
Platt, Jason A.
|
|
|
153 |
C |
p. 530-552
|
artikel
|
| 8 |
A universal adversarial policy for text classifiers
|
Maimon, Gallil
|
|
|
153 |
C |
p. 282-291
|
artikel
|
| 9 |
Boolean matrix factorization based on collaborative neurodynamic optimization with Boltzmann machines
|
Li, Xinqi
|
|
|
153 |
C |
p. 142-151
|
artikel
|
| 10 |
Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization
|
Leung, Man-Fai
|
|
|
153 |
C |
p. 399-410
|
artikel
|
| 11 |
Computational role of exploration noise in error-based de novo motor learning
|
Dal’Bello, Lucas Rebelo
|
|
|
153 |
C |
p. 349-372
|
artikel
|
| 12 |
Convergence of deep convolutional neural networks
|
Xu, Yuesheng
|
|
|
153 |
C |
p. 553-563
|
artikel
|
| 13 |
Current Events
|
|
|
|
153 |
C |
p. I
|
artikel
|
| 14 |
Dimensionality of the intermediate-level representation of shape and texture in monkey V4
|
Kodama, Atsushi
|
|
|
153 |
C |
p. 444-449
|
artikel
|
| 15 |
Editorial Board
|
|
|
|
153 |
C |
p. ii
|
artikel
|
| 16 |
Exploring phase–amplitude coupling from primary motor cortex-basal ganglia–thalamus network model
|
Yu, Ying
|
|
|
153 |
C |
p. 130-141
|
artikel
|
| 17 |
Fixed-time synchronization of discontinuous competitive neural networks with time-varying delays
|
Zheng, Caicai
|
|
|
153 |
C |
p. 192-203
|
artikel
|
| 18 |
From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning
|
Malik, Nahiyan
|
|
|
153 |
C |
p. 325-338
|
artikel
|
| 19 |
Graph regularized spatial–spectral subspace clustering for hyperspectral band selection
|
Wang, Jun
|
|
|
153 |
C |
p. 292-302
|
artikel
|
| 20 |
Graph Transformer Networks: Learning meta-path graphs to improve GNNs
|
Yun, Seongjun
|
|
|
153 |
C |
p. 104-119
|
artikel
|
| 21 |
Image super-resolution with an enhanced group convolutional neural network
|
Tian, Chunwei
|
|
|
153 |
C |
p. 373-385
|
artikel
|
| 22 |
INN/ENNS/JNNS - Membership Applic. Form
|
|
|
|
153 |
C |
p. II
|
artikel
|
| 23 |
ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition
|
Zhao, Sirui
|
|
|
153 |
C |
p. 427-443
|
artikel
|
| 24 |
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks
|
Jiang, Bo
|
|
|
153 |
C |
p. 204-214
|
artikel
|
| 25 |
Modularity-aware graph autoencoders for joint community detection and link prediction
|
Salha-Galvan, Guillaume
|
|
|
153 |
C |
p. 474-495
|
artikel
|
| 26 |
Neural network interpolation operators optimized by Lagrange polynomial
|
Wang, Guoshun
|
|
|
153 |
C |
p. 179-191
|
artikel
|
| 27 |
Oblique and rotation double random forest
|
Ganaie, M.A.
|
|
|
153 |
C |
p. 496-517
|
artikel
|
| 28 |
Online action proposal generation using spatio-temporal attention network
|
Keisham, Kanchan
|
|
|
153 |
C |
p. 518-529
|
artikel
|
| 29 |
Online subspace learning and imputation by Tensor-Ring decomposition
|
Yu, Jinshi
|
|
|
153 |
C |
p. 314-324
|
artikel
|
| 30 |
Privacy preserving Generative Adversarial Networks to model Electronic Health Records
|
Venugopal, Rohit
|
|
|
153 |
C |
p. 339-348
|
artikel
|
| 31 |
Quantum Neural Networks and Topological Quantum Field Theories
|
Marcianò, Antonino
|
|
|
153 |
C |
p. 164-178
|
artikel
|
| 32 |
Recurrent neural networks as kinematics estimator and controller for redundant manipulators subject to physical constraints
|
Tan, Ning
|
|
|
153 |
C |
p. 64-75
|
artikel
|
| 33 |
Reducing noisy annotations for depression estimation from facial images
|
He, Lang
|
|
|
153 |
C |
p. 120-129
|
artikel
|
| 34 |
Reframing control methods for parameters optimization in adversarial image generation
|
Alfalouji, Qamar
|
|
|
153 |
C |
p. 303-313
|
artikel
|
| 35 |
Riemannian gradient methods for stochastic composition problems
|
Huang, Feihu
|
|
|
153 |
C |
p. 224-234
|
artikel
|
| 36 |
Scalp EEG functional connection and brain network in infants with West syndrome
|
Zheng, Runze
|
|
|
153 |
C |
p. 76-86
|
artikel
|
| 37 |
SepNet: A neural network for directionally correlated data
|
Gao, Fuchang
|
|
|
153 |
C |
p. 215-223
|
artikel
|
| 38 |
Single-layer vision transformers for more accurate early exits with less overhead
|
Bakhtiarnia, Arian
|
|
|
153 |
C |
p. 461-473
|
artikel
|
| 39 |
SIRe-Networks: Convolutional neural networks architectural extension for information preservation via skip/residual connections and interlaced auto-encoders
|
Avola, Danilo
|
|
|
153 |
C |
p. 386-398
|
artikel
|
| 40 |
Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function
|
Wen, Hongsong
|
|
|
153 |
C |
p. 1-12
|
artikel
|
| 41 |
Successfully and efficiently training deep multi-layer perceptrons with logistic activation function simply requires initializing the weights with an appropriate negative mean
|
Yilmaz, Ahmet
|
|
|
153 |
C |
p. 87-103
|
artikel
|
| 42 |
The minimum regret path problem on stochastic fuzzy time-varying networks
|
Huang, Wei
|
|
|
153 |
C |
p. 450-460
|
artikel
|
| 43 |
Toward reliable designs of data-driven reinforcement learning tracking control for Euler–Lagrange systems
|
Yao, Zhikai
|
|
|
153 |
C |
p. 564-575
|
artikel
|
| 44 |
Training much deeper spiking neural networks with a small number of time-steps
|
Meng, Qingyan
|
|
|
153 |
C |
p. 254-268
|
artikel
|
| 45 |
Transfer learning for motor imagery based brain–computer interfaces: A tutorial
|
Wu, Dongrui
|
|
|
153 |
C |
p. 235-253
|
artikel
|
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