| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adaptive non-negative projective semi-supervised learning for inductive classification
|
Zhang, Zhao
|
|
|
108 |
C |
p. 128-145
|
artikel
|
| 2 |
A model of operant learning based on chaotically varying synaptic strength
|
Wei, Tianqi
|
|
|
108 |
C |
p. 114-127
|
artikel
|
| 3 |
An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection
|
Somu, Nivethitha
|
|
|
108 |
C |
p. 339-354
|
artikel
|
| 4 |
An improved stability result for delayed Takagi–Sugeno fuzzy Cohen–Grossberg neural networks
|
Orman, Zeynep
|
|
|
108 |
C |
p. 445-451
|
artikel
|
| 5 |
Announcement of the Neural Networks Best Paper Award
|
|
|
|
108 |
C |
p. iii
|
artikel
|
| 6 |
A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis
|
Beritelli, Francesco
|
|
|
108 |
C |
p. 331-338
|
artikel
|
| 7 |
A video-driven model of response statistics in the primate middle temporal area
|
Rezai, Omid
|
|
|
108 |
C |
p. 424-444
|
artikel
|
| 8 |
Bipartite synchronization in coupled delayed neural networks under pinning control
|
Liu, Fang
|
|
|
108 |
C |
p. 146-154
|
artikel
|
| 9 |
Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks
|
Soltoggio, Andrea
|
|
|
108 |
C |
p. 48-67
|
artikel
|
| 10 |
Cost-sensitive multi-label learning with positive and negative label pairwise correlations
|
Wu, Guoqiang
|
|
|
108 |
C |
p. 411-423
|
artikel
|
| 11 |
Design of deep echo state networks
|
Gallicchio, Claudio
|
|
|
108 |
C |
p. 33-47
|
artikel
|
| 12 |
DGCNN: A convolutional neural network over large-scale labeled graphs
|
Phan, Anh Viet
|
|
|
108 |
C |
p. 533-543
|
artikel
|
| 13 |
Distant supervision for relation extraction with hierarchical selective attention
|
Zhou, Peng
|
|
|
108 |
C |
p. 240-247
|
artikel
|
| 14 |
Echo state networks are universal
|
Grigoryeva, Lyudmila
|
|
|
108 |
C |
p. 495-508
|
artikel
|
| 15 |
Editorial Board
|
|
|
|
108 |
C |
p. ii
|
artikel
|
| 16 |
EEG dipole source localization with information criteria for multiple particle filters
|
Sonoda, Sho
|
|
|
108 |
C |
p. 68-82
|
artikel
|
| 17 |
Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning
|
Schmidt, Andres
|
|
|
108 |
C |
p. 97-113
|
artikel
|
| 18 |
Estimation of neural connections from partially observed neural spikes
|
Iwasaki, Taishi
|
|
|
108 |
C |
p. 172-191
|
artikel
|
| 19 |
Estimation theory and Neural Networks revisited: REKF and RSVSF as optimization techniques for Deep-Learning
|
Ismail, Mahmoud
|
|
|
108 |
C |
p. 509-526
|
artikel
|
| 20 |
Evolving Spiking Neural Networks for online learning over drifting data streams
|
Lobo, Jesus L.
|
|
|
108 |
C |
p. 1-19
|
artikel
|
| 21 |
Exponential consensus of discrete-time non-linear multi-agent systems via relative state-dependent impulsive protocols
|
Han, Yiyan
|
|
|
108 |
C |
p. 192-201
|
artikel
|
| 22 |
Fuzzy c-means-based architecture reduction of a probabilistic neural network
|
Kusy, Maciej
|
|
|
108 |
C |
p. 20-32
|
artikel
|
| 23 |
Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling
|
Guo, Zhenyuan
|
|
|
108 |
C |
p. 260-271
|
artikel
|
| 24 |
LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine
|
Ning, Lin
|
|
|
108 |
C |
p. 399-410
|
artikel
|
| 25 |
Learning in the machine: Recirculation is random backpropagation
|
Baldi, P.
|
|
|
108 |
C |
p. 479-494
|
artikel
|
| 26 |
Low-rank and sparse embedding for dimensionality reduction
|
Han, Na
|
|
|
108 |
C |
p. 202-216
|
artikel
|
| 27 |
Low-rank representation with adaptive graph regularization
|
Wen, Jie
|
|
|
108 |
C |
p. 83-96
|
artikel
|
| 28 |
Monostable multivibrators as novel artificial neurons
|
Keuninckx, Lars
|
|
|
108 |
C |
p. 224-239
|
artikel
|
| 29 |
Multiple Mittag-Leffler stability of fractional-order competitive neural networks with Gaussian activation functions
|
Liu, Pingping
|
|
|
108 |
C |
p. 452-465
|
artikel
|
| 30 |
Multi-view clustering on unmapped data via constrained non-negative matrix factorization
|
Zong, Linlin
|
|
|
108 |
C |
p. 155-171
|
artikel
|
| 31 |
Optimal approximation of piecewise smooth functions using deep ReLU neural networks
|
Petersen, Philipp
|
|
|
108 |
C |
p. 296-330
|
artikel
|
| 32 |
Protocol-based state estimation for delayed Markovian jumping neural networks
|
Li, Jiahui
|
|
|
108 |
C |
p. 355-364
|
artikel
|
| 33 |
Reachable set estimation for Markovian jump neural networks with time-varying delay
|
Lin, Wen-Juan
|
|
|
108 |
C |
p. 527-532
|
artikel
|
| 34 |
Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems
|
Zhang, Qingtian
|
|
|
108 |
C |
p. 217-223
|
artikel
|
| 35 |
Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection
|
Fernando, Tharindu
|
|
|
108 |
C |
p. 466-478
|
artikel
|
| 36 |
State representation learning for control: An overview
|
Lesort, Timothée
|
|
|
108 |
C |
p. 379-392
|
artikel
|
| 37 |
The impact of encoding–decoding schemes and weight normalization in spiking neural networks
|
Liang, Zhengzhong
|
|
|
108 |
C |
p. 365-378
|
artikel
|
| 38 |
The Vapnik–Chervonenkis dimension of graph and recursive neural networks
|
Scarselli, Franco
|
|
|
108 |
C |
p. 248-259
|
artikel
|
| 39 |
Trainable spectral difference learning with spatial starting for hyperspectral image denoising
|
Xie, Weiying
|
|
|
108 |
C |
p. 272-286
|
artikel
|
| 40 |
Transfer collaborative filtering from multiple sources via consensus regularization
|
Zhuang, Fuzhen
|
|
|
108 |
C |
p. 287-295
|
artikel
|
| 41 |
UKF-based remote state estimation for discrete artificial neural networks with communication bandwidth constraints
|
Liu, Yang
|
|
|
108 |
C |
p. 393-398
|
artikel
|
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