nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A conversational model for eliciting new chatting topics in open-domain conversation
|
Li, Weizhao |
|
|
144 |
C |
p. 540-552 |
artikel |
2 |
ACSL: Adaptive correlation-driven sparsity learning for deep neural network compression
|
He, Wei |
|
|
144 |
C |
p. 465-477 |
artikel |
3 |
Active inference through whiskers
|
Mannella, Francesco |
|
|
144 |
C |
p. 428-437 |
artikel |
4 |
Adversarial parameter defense by multi-step risk minimization
|
Zhang, Zhiyuan |
|
|
144 |
C |
p. 154-163 |
artikel |
5 |
Adversarial text-to-image synthesis: A review
|
Frolov, Stanislav |
|
|
144 |
C |
p. 187-209 |
artikel |
6 |
A language modeling-like approach to sketching
|
Graziani, Lisa |
|
|
144 |
C |
p. 627-638 |
artikel |
7 |
An empirical evaluation of active inference in multi-armed bandits
|
Marković, Dimitrije |
|
|
144 |
C |
p. 229-246 |
artikel |
8 |
An end-to-end 3D convolutional neural network for decoding attentive mental state
|
Zhang, Yangsong |
|
|
144 |
C |
p. 129-137 |
artikel |
9 |
A neural decoding algorithm that generates language from visual activity evoked by natural images
|
Huang, Wei |
|
|
144 |
C |
p. 90-100 |
artikel |
10 |
A note on computing with Kolmogorov Superpositions without iterations
|
Demb, Robert |
|
|
144 |
C |
p. 438-442 |
artikel |
11 |
A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer
|
Ye, Hailiang |
|
|
144 |
C |
p. 755-765 |
artikel |
12 |
ARAE: Adversarially robust training of autoencoders improves novelty detection
|
Salehi, Mohammadreza |
|
|
144 |
C |
p. 726-736 |
artikel |
13 |
Biologically motivated learning method for deep neural networks using hierarchical competitive learning
|
Shinozaki, Takashi |
|
|
144 |
C |
p. 271-278 |
artikel |
14 |
Bipartite synchronization of signed networks via aperiodically intermittent control based on discrete-time state observations
|
Xu, Dongsheng |
|
|
144 |
C |
p. 307-319 |
artikel |
15 |
Broad-UNet: Multi-scale feature learning for nowcasting tasks
|
Fernández, Jesús García |
|
|
144 |
C |
p. 419-427 |
artikel |
16 |
Combination of certainty and uncertainty: Using FusionGAN to create abstract paintings
|
Li, Mao |
|
|
144 |
C |
p. 443-454 |
artikel |
17 |
Combining STDP and binary networks for reinforcement learning from images and sparse rewards
|
Chevtchenko, Sérgio F. |
|
|
144 |
C |
p. 496-506 |
artikel |
18 |
Current Events
|
|
|
|
144 |
C |
p. I |
artikel |
19 |
Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning
|
Schilling, Malte |
|
|
144 |
C |
p. 699-725 |
artikel |
20 |
Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments
|
Landman, Tom |
|
|
144 |
C |
p. 648-685 |
artikel |
21 |
Deep learning based spectral CT imaging
|
Wu, Weiwen |
|
|
144 |
C |
p. 342-358 |
artikel |
22 |
Deep Tobit networks: A novel machine learning approach to microeconometrics
|
Zhang, Jiaming |
|
|
144 |
C |
p. 279-296 |
artikel |
23 |
Detection of pancreatic cancer by convolutional-neural-network-assisted spontaneous Raman spectroscopy with critical feature visualization
|
Li, Zhongqiang |
|
|
144 |
C |
p. 455-464 |
artikel |
24 |
Distributed associative memory network with memory refreshing loss
|
Park, Taewon |
|
|
144 |
C |
p. 33-48 |
artikel |
25 |
Disturbance-immune weight sharing for neural architecture search
|
Niu, Shuaicheng |
|
|
144 |
C |
p. 553-564 |
artikel |
26 |
Editorial Board
|
|
|
|
144 |
C |
p. ii |
artikel |
27 |
Extremely randomized neural networks for constructing prediction intervals
|
Mancini, Tullio |
|
|
144 |
C |
p. 113-128 |
artikel |
28 |
Extreme neural machines
|
Boucher-Routhier, Megan |
|
|
144 |
C |
p. 639-647 |
artikel |
29 |
Forward and inverse reinforcement learning sharing network weights and hyperparameters
|
Uchibe, Eiji |
|
|
144 |
C |
p. 138-153 |
artikel |
30 |
Highly parallelized memristive binary neural network
|
Chen, Jiadong |
|
|
144 |
C |
p. 565-572 |
artikel |
31 |
Impact of axonal delay on structure development in a multi-layered network
|
Davey, Catherine E. |
|
|
144 |
C |
p. 737-754 |
artikel |
32 |
Incremental multi-view spectral clustering with sparse and connected graph learning
|
Yin, Hongwei |
|
|
144 |
C |
p. 260-270 |
artikel |
33 |
INN/ENNS/JNNS - Membership Applic. Form
|
|
|
|
144 |
C |
p. II |
artikel |
34 |
Intermittent control for finite-time synchronization of fractional-order complex networks
|
Zhang, Lingzhong |
|
|
144 |
C |
p. 11-20 |
artikel |
35 |
Learning lightweight super-resolution networks with weight pruning
|
Jiang, Xinrui |
|
|
144 |
C |
p. 21-32 |
artikel |
36 |
Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
|
Macpherson, Tom |
|
|
144 |
C |
p. 603-613 |
artikel |
37 |
Neural-network-based discounted optimal control via an integrated value iteration with accuracy guarantee
|
Ha, Mingming |
|
|
144 |
C |
p. 176-186 |
artikel |
38 |
Neural network surgery: Combining training with topology optimization
|
Schiessler, Elisabeth J. |
|
|
144 |
C |
p. 384-393 |
artikel |
39 |
Non-differentiable saddle points and sub-optimal local minima exist for deep ReLU networks
|
Liu, Bo |
|
|
144 |
C |
p. 75-89 |
artikel |
40 |
Nonlinear tensor train format for deep neural network compression
|
Wang, Dingheng |
|
|
144 |
C |
p. 320-333 |
artikel |
41 |
Observer-based event-triggered control for zero-sum games of input constrained multi-player nonlinear systems
|
Zhang, Shunchao |
|
|
144 |
C |
p. 101-112 |
artikel |
42 |
One-stage CNN detector-based benthonic organisms detection with limited training dataset
|
Chen, Tingkai |
|
|
144 |
C |
p. 247-259 |
artikel |
43 |
Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing
|
Kim, Youngeun |
|
|
144 |
C |
p. 686-698 |
artikel |
44 |
Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control
|
Macpherson, Tom |
|
|
144 |
C |
p. 507-521 |
artikel |
45 |
P-DIFF+: Improving learning classifier with noisy labels by Noisy Negative Learning loss
|
Zhao, QiHao |
|
|
144 |
C |
p. 1-10 |
artikel |
46 |
Performance of biologically grounded models of the early visual system on standard object recognition tasks
|
Teichmann, Michael |
|
|
144 |
C |
p. 210-228 |
artikel |
47 |
Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia
|
Doborjeh, Maryam |
|
|
144 |
C |
p. 522-539 |
artikel |
48 |
Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems
|
Saha, Priyabrata |
|
|
144 |
C |
p. 359-371 |
artikel |
49 |
Pinning multisynchronization of delayed fractional-order memristor-based neural networks with nonlinear coupling and almost-periodic perturbations
|
Peng, Libiao |
|
|
144 |
C |
p. 372-383 |
artikel |
50 |
Predictive coding feedback results in perceived illusory contours in a recurrent neural network
|
Pang, Zhaoyang |
|
|
144 |
C |
p. 164-175 |
artikel |
51 |
Recurrent neural network from adder’s perspective: Carry-lookahead RNN
|
Jiang, Haowei |
|
|
144 |
C |
p. 297-306 |
artikel |
52 |
Schematic memory persistence and transience for efficient and robust continual learning
|
Gao, Yuyang |
|
|
144 |
C |
p. 49-60 |
artikel |
53 |
Structured Ensembles: An approach to reduce the memory footprint of ensemble methods
|
Pomponi, Jary |
|
|
144 |
C |
p. 407-418 |
artikel |
54 |
TACN: A Topical Adversarial Capsule Network for textual network embedding
|
Qin, Xiaorui |
|
|
144 |
C |
p. 766-777 |
artikel |
55 |
TGAN: A simple model update strategy for visual tracking via template-guidance attention network
|
Yang, Kai |
|
|
144 |
C |
p. 61-74 |
artikel |
56 |
The generalized extreme learning machines: Tuning hyperparameters and limiting approach for the Moore–Penrose generalized inverse
|
Kim, Meejoung |
|
|
144 |
C |
p. 591-602 |
artikel |
57 |
Theory of deep convolutional neural networks III: Approximating radial functions
|
Mao, Tong |
|
|
144 |
C |
p. 778-790 |
artikel |
58 |
The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain
|
Yamakawa, Hiroshi |
|
|
144 |
C |
p. 478-495 |
artikel |
59 |
Uncertainty propagation for dropout-based Bayesian neural networks
|
Mae, Yuki |
|
|
144 |
C |
p. 394-406 |
artikel |
60 |
Weak sub-network pruning for strong and efficient neural networks
|
Guo, Qingbei |
|
|
144 |
C |
p. 614-626 |
artikel |
61 |
Working Memory Connections for LSTM
|
Landi, Federico |
|
|
144 |
C |
p. 334-341 |
artikel |
62 |
World model learning and inference
|
Friston, Karl |
|
|
144 |
C |
p. 573-590 |
artikel |