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                             53 gevonden resultaten
nr titel auteur tijdschrift jaar jaarg. afl. pagina('s) type
1 A comprehensive and reliable feature attribution method: Double-sided remove and reconstruct (DoRaR) Qin, Dong
173 C p.
 artikel
2 A Comprehensive Survey on Deep Graph Representation Learning Ju, Wei
173 C p.
 artikel
3 A feature refinement and adaptive generative adversarial network for thermal infrared image colorization Chen, Yu
173 C p.
 artikel
4 An ADMM-LSTM framework for short-term load forecasting Liu, Shuo
173 C p.
 artikel
5 A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning Ahmadian, Sajad
173 C p.
 artikel
6 A regularized orthogonal activated inverse-learning neural network for regression and classification with outliers Zhang, Zhijun
173 C p.
 artikel
7 A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data Tian, Jinghui
173 C p.
 artikel
8 CeCR: Cross-entropy contrastive replay for online class-incremental continual learning Sun, Guanglu
173 C p.
 artikel
9 CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection Asif, Sohaib
173 C p.
 artikel
10 Confounder balancing in adversarial domain adaptation for pre-trained large models fine-tuning Jiang, Shuoran
173 C p.
 artikel
11 Cross-modality interaction for few-shot multispectral object detection with semantic knowledge Huang, Lian
173 C p.
 artikel
12 CURRENT EVENTS
173 C p.
 artikel
13 Data-driven learning of chaotic dynamical systems using Discrete-Temporal Sobolev Networks Kennedy, Connor
173 C p.
 artikel
14 DDK: Dynamic structure pruning based on differentiable search and recursive knowledge distillation for BERT Zhang, Zhou
173 C p.
 artikel
15 Defense against adversarial attacks based on color space transformation Wang, Haoyu
173 C p.
 artikel
16 Delay-dependent Lurie–Postnikov type Lyapunov–Krasovskii functionals for stability analysis of discrete-time delayed neural networks Xie, Ke-You
173 C p.
 artikel
17 Editorial Board
173 C p.
 artikel
18 Efficient spiking neural network design via neural architecture search Yan, Jiaqi
173 C p.
 artikel
19 Enhancing adversarial attacks with resize-invariant and logical ensemble Shao, Yanling
173 C p.
 artikel
20 Enhancing and improving the performance of imbalanced class data using novel GBO and SSG: A comparative analysis Ahsan, Md Manjurul
173 C p.
 artikel
21 Expansion of the editorial team Wang, DeLiang
173 C p.
 artikel
22 Extended Dynamic Mode Decomposition with Invertible Dictionary Learning Jin, Yuhong
173 C p.
 artikel
23 Fading memory as inductive bias in residual recurrent networks Dubinin, Igor
173 C p.
 artikel
24 Fast multi-view clustering via correntropy-based orthogonal concept factorization Wu, Jinghan
173 C p.
 artikel
25 Graph-based social relation inference with multi-level conditional attention Yu, Xiaotian
173 C p.
 artikel
26 Graph Neural Network contextual embedding for Deep Learning on tabular data Villaizán-Vallelado, Mario
173 C p.
 artikel
27 Hebbian dreaming for small datasets Agliari, Elena
173 C p.
 artikel
28 Hierarchical matching and reasoning for multi-query image retrieval Ji, Zhong
173 C p.
 artikel
29 Higher-order neurodynamical equation for simplex prediction Wang, Zhihui
173 C p.
 artikel
30 How to evaluate uncertainty estimates in machine learning for regression? Sluijterman, Laurens
173 C p.
 artikel
31 INN/ENNS/JNNS - Membership Applic. Form
173 C p.
 artikel
32 Knowledge distillation under ideal joint classifier assumption Li, Huayu
173 C p.
 artikel
33 Lie–Poisson Neural Networks (LPNets): Data-based computing of Hamiltonian systems with symmetries Eldred, Christopher
173 C p.
 artikel
34 Methodology based on spiking neural networks for univariate time-series forecasting Lucas, Sergio
173 C p.
 artikel
35 Mode combinability: Exploring convex combinations of permutation aligned models Csiszárik, Adrián
173 C p.
 artikel
36 MSRMNet: Multi-scale skip residual and multi-mixed features network for salient object detection Liu, Xinlong
173 C p.
 artikel
37 Multi-level multilingual semantic alignment for zero-shot cross-lingual transfer learning Gui, Anchun
173 C p.
 artikel
38 Multi-node knowledge graph assisted distributed fault detection for large-scale industrial processes based on graph attention network and bidirectional LSTMs Li, Qing
173 C p.
 artikel
39 Node-personalized multi-graph convolutional networks for recommendation Zhou, Tiantian
173 C p.
 artikel
40 Noncompact uniform universal approximation van Nuland, Teun D.H.
173 C p.
 artikel
41 One-step Bayesian example-dependent cost classification: The OsC-MLP method Mediavilla-Relaño, Javier
173 C p.
 artikel
42 Priors-assisted dehazing network with attention supervision and detail preservation Yi, Weichao
173 C p.
 artikel
43 PSA-GNN: An augmented GNN framework with priori subgraph knowledge Xue, Guotong
173 C p.
 artikel
44 Quasi-synchronization for variable-order fractional complex dynamical networks with hybrid delay-dependent impulses Wei, Chen
173 C p.
 artikel
45 Robust noise-aware algorithm for randomized neural network and its convergence properties Xiao, Yuqi
173 C p.
 artikel
46 SCMEA: A stacked co-enhanced model for entity alignment based on multi-aspect information fusion and bidirectional contrastive learning Zhou, Yunfeng
173 C p.
 artikel
47 Spatial multi-attention conditional neural processes Bao, Li-Li
173 C p.
 artikel
48 TCDformer: A transformer framework for non-stationary time series forecasting based on trend and change-point detection Wan, Jiashan
173 C p.
 artikel
49 Towards a better negative sampling strategy for dynamic graphs Gao, Kuang
173 C p.
 artikel
50 Towards a unified framework for graph-based multi-view clustering Dornaika, F.
173 C p.
 artikel
51 Triplet-constrained deep hashing for chest X-ray image retrieval in COVID-19 assessment Wang, Linmin
173 C p.
 artikel
52 Unsupervised distribution-aware keypoints generation from 3D point clouds Wu, Yiqi
173 C p.
 artikel
53 Weisfeiler–Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs Beddar-Wiesing, Silvia
173 C p.
 artikel
                             53 gevonden resultaten
 
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