nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Accelerating gradient descent and Adam via fractional gradients
|
Shin, Yeonjong |
|
|
161 |
C |
p. 185-201 |
artikel |
2 |
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization
|
Xing, Jinwei |
|
|
161 |
C |
p. 228-241 |
artikel |
3 |
A feedforward unitary equivariant neural network
|
Ma, Pui-Wai |
|
|
161 |
C |
p. 154-164 |
artikel |
4 |
An effective low-rank compression with a joint rank selection followed by a compression-friendly training
|
Eo, Moonjung |
|
|
161 |
C |
p. 165-177 |
artikel |
5 |
A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles
|
Liu, Jingxin |
|
|
161 |
C |
p. 693-707 |
artikel |
6 |
Approximating Nash equilibrium for anti-UAV jamming Markov game using a novel event-triggered multi-agent reinforcement learning
|
Feng, Zikai |
|
|
161 |
C |
p. 330-342 |
artikel |
7 |
Approximation bounds for convolutional neural networks in operator learning
|
Franco, Nicola Rares |
|
|
161 |
C |
p. 129-141 |
artikel |
8 |
Asynchronous dissipative stabilization for stochastic Markov-switching neural networks with completely- and incompletely-known transition rates
|
Tai, Weipeng |
|
|
161 |
C |
p. 55-64 |
artikel |
9 |
BalanceHRNet: An effective network for bottom-up human pose estimation
|
Li, Yaoping |
|
|
161 |
C |
p. 297-305 |
artikel |
10 |
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots
|
Rubio, José de Jesús |
|
|
161 |
C |
p. 437-448 |
artikel |
11 |
CLAD: A realistic Continual Learning benchmark for Autonomous Driving
|
Verwimp, Eli |
|
|
161 |
C |
p. 659-669 |
artikel |
12 |
Continual Object Detection: A review of definitions, strategies, and challenges
|
Menezes, Angelo G. |
|
|
161 |
C |
p. 476-493 |
artikel |
13 |
Cooperative modular reinforcement learning for large discrete action space problem
|
Ming, Fangzhu |
|
|
161 |
C |
p. 281-296 |
artikel |
14 |
Corrigendum to “Functional connectivity inference from fMRI data using multivariate information measures” [Neural Networks 146 (2022) 85–97]
|
Li, Qiang |
|
|
161 |
C |
p. 92 |
artikel |
15 |
CrimeNet: Neural Structured Learning using Vision Transformer for violence detection
|
Rendón-Segador, Fernando J. |
|
|
161 |
C |
p. 318-329 |
artikel |
16 |
Cross-modal guiding and reweighting network for multi-modal RSVP-based target detection
|
Mao, Jiayu |
|
|
161 |
C |
p. 65-82 |
artikel |
17 |
CURRENT EVENTS
|
|
|
|
161 |
C |
p. I |
artikel |
18 |
Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation
|
Wang, Qian |
|
|
161 |
C |
p. 614-625 |
artikel |
19 |
DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing
|
Lin, Jiun-Da |
|
|
161 |
C |
p. 83-91 |
artikel |
20 |
Domain adaptive object detection with model-agnostic knowledge transferring
|
Tian, Kun |
|
|
161 |
C |
p. 213-227 |
artikel |
21 |
Editorial Board
|
|
|
|
161 |
C |
p. ii |
artikel |
22 |
Eigen value based loss function for training attractors in iterated autoencoders
|
Nouri, Ali |
|
|
161 |
C |
p. 575-588 |
artikel |
23 |
Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognition
|
Qu, Leyuan |
|
|
161 |
C |
p. 494-504 |
artikel |
24 |
Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach
|
Yang, Lixin |
|
|
161 |
C |
p. 735-745 |
artikel |
25 |
Enhanced robust spatial feature selection and correlation filter learning for UAV tracking
|
Wen, Jiajun |
|
|
161 |
C |
p. 39-54 |
artikel |
26 |
Enhanced tensor low-rank representation learning for multi-view clustering
|
Xie, Deyan |
|
|
161 |
C |
p. 93-104 |
artikel |
27 |
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation
|
Lee, JoonHo |
|
|
161 |
C |
p. 682-692 |
artikel |
28 |
Feature flow regularization: Improving structured sparsity in deep neural networks
|
Wu, Yue |
|
|
161 |
C |
p. 598-613 |
artikel |
29 |
Feature relocation network for fine-grained image classification
|
Zhao, Peng |
|
|
161 |
C |
p. 306-317 |
artikel |
30 |
Few-shot link prediction for temporal knowledge graphs based on time-aware translation and attention mechanism
|
Zhang, Han |
|
|
161 |
C |
p. 371-381 |
artikel |
31 |
Fractional derivative based weighted skip connections for satellite image road segmentation
|
Arora, Sugandha |
|
|
161 |
C |
p. 142-153 |
artikel |
32 |
Hierarchical neural network with efficient selection inference
|
Mi, Jian-Xun |
|
|
161 |
C |
p. 535-549 |
artikel |
33 |
Hybrid distributed finite-time neurodynamic optimization of electric vehicle charging schemes management in microgrid considering time-varying factors
|
Qin, Haohao |
|
|
161 |
C |
p. 466-475 |
artikel |
34 |
IASA: An IoU-aware tracker with adaptive sample assignment
|
Yang, Kai |
|
|
161 |
C |
p. 267-280 |
artikel |
35 |
Improving transparency and representational generalizability through parallel continual learning
|
Paknezhad, Mahsa |
|
|
161 |
C |
p. 449-465 |
artikel |
36 |
INN/ENNS/JNNS - Membership Applic. Form
|
|
|
|
161 |
C |
p. II |
artikel |
37 |
Interpretable local flow attention for multi-step traffic flow prediction
|
Huang, Xu |
|
|
161 |
C |
p. 25-38 |
artikel |
38 |
Knowledge-Preserving continual person re-identification using Graph Attention Network
|
Liu, Zhaoshuo |
|
|
161 |
C |
p. 105-115 |
artikel |
39 |
Learning matrix factorization with scalable distance metric and regularizer
|
Wang, Shiping |
|
|
161 |
C |
p. 254-266 |
artikel |
40 |
Learning to Generate Tips from Song Reviews
|
Zang, Jingya |
|
|
161 |
C |
p. 746-756 |
artikel |
41 |
Leveraging joint incremental learning objective with data ensemble for class incremental learning
|
Mazumder, Pratik |
|
|
161 |
C |
p. 202-212 |
artikel |
42 |
Memory-efficient Transformer-based network model for Traveling Salesman Problem
|
Yang, Hua |
|
|
161 |
C |
p. 589-597 |
artikel |
43 |
MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams
|
Peng, Xinyu |
|
|
161 |
C |
p. 525-534 |
artikel |
44 |
MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification
|
Bala, Diponkor |
|
|
161 |
C |
p. 757-775 |
artikel |
45 |
MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults
|
Song, Pengyu |
|
|
161 |
C |
p. 397-417 |
artikel |
46 |
Multi-relational graph convolutional networks: Generalization guarantees and experiments
|
Li, Xutao |
|
|
161 |
C |
p. 343-358 |
artikel |
47 |
Neural network model for imprecise regression with interval dependent variables
|
Tretiak, Krasymyr |
|
|
161 |
C |
p. 550-564 |
artikel |
48 |
Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning
|
Pan, Baicheng |
|
|
161 |
C |
p. 638-658 |
artikel |
49 |
Partial label learning: Taxonomy, analysis and outlook
|
Tian, Yingjie |
|
|
161 |
C |
p. 708-734 |
artikel |
50 |
Quasi-synchronization of drive–response systems with parameter mismatch via event-triggered impulsive control
|
Zheng, Huannan |
|
|
161 |
C |
p. 1-8 |
artikel |
51 |
Rapid learning of spatial representations for goal-directed navigation based on a novel model of hippocampal place fields
|
Alabi, Adedapo |
|
|
161 |
C |
p. 116-128 |
artikel |
52 |
Regularizing transformers with deep probabilistic layers
|
Aguilera, Aurora Cobo |
|
|
161 |
C |
p. 565-574 |
artikel |
53 |
Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations
|
Belomestny, Denis |
|
|
161 |
C |
p. 242-253 |
artikel |
54 |
SP-GNN: Learning structure and position information from graphs
|
Chen, Yangrui |
|
|
161 |
C |
p. 505-514 |
artikel |
55 |
SPIDE: A purely spike-based method for training feedback spiking neural networks
|
Xiao, Mingqing |
|
|
161 |
C |
p. 9-24 |
artikel |
56 |
SuperFormer: Continual learning superposition method for text classification
|
Zeman, Marko |
|
|
161 |
C |
p. 418-436 |
artikel |
57 |
The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data
|
Tsvetkov, Christian |
|
|
161 |
C |
p. 515-524 |
artikel |
58 |
TL-ADA: Transferable Loss-based Active Domain Adaptation
|
Han, Kyeongtak |
|
|
161 |
C |
p. 670-681 |
artikel |
59 |
UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection
|
Zang, Zelin |
|
|
161 |
C |
p. 626-637 |
artikel |
60 |
U-SPDNet: An SPD manifold learning-based neural network for visual classification
|
Wang, Rui |
|
|
161 |
C |
p. 382-396 |
artikel |
61 |
Video summarization for event-centric videos
|
Li, Qingwen |
|
|
161 |
C |
p. 359-370 |
artikel |
62 |
VISAL—A novel learning strategy to address class imbalance
|
S., Sree Rama Vamsidhar |
|
|
161 |
C |
p. 178-184 |
artikel |