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Publication search results
found 54 matches
- 2023
- Zicheng Cai, Lei Chen, Hai-Lin Liu:
EPC-DARTS: Efficient partial channel connection for differentiable architecture search. Neural Networks 166: 344-353 (2023) - Zefang Chang, Qinbing Fu, Hao Chen, Haiyang Li, Jigen Peng:
A look into feedback neural computation upon collision selectivity. Neural Networks 166: 22-37 (2023) - Zicong Chen, Hui Zhang, Jianqi Liu, Qinruo Wang, Jianhui Wang:
Adaptive prescribed settling time periodic event-triggered control for uncertain robotic manipulators with state constraints. Neural Networks 166: 1-10 (2023) - Fadi Dornaika, Abdullah Baradaaji:
A unified semi-supervised model with joint estimation of graph, soft labels and latent subspace. Neural Networks 166: 248-259 (2023) - Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas Nürnberger:
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction. Neural Networks 166: 704-721 (2023) - Parvin Zarei Eskikand, Artemio Soto-Breceda, Mark J. Cook, Anthony N. Burkitt, David B. Grayden:
Inhibitory stabilized network behaviour in a balanced neural mass model of a cortical column. Neural Networks 166: 296-312 (2023) - Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai N. Suganthan, Kum Fai Yuen:
Online dynamic ensemble deep random vector functional link neural network for forecasting. Neural Networks 166: 51-69 (2023) - Garas Gendy, Nabil Sabor, Guanghui He:
Lightweight image super-resolution based multi-order gated aggregation network. Neural Networks 166: 286-295 (2023) - Dezhi Guo, Zhaowei Liu, Ranran Li:
RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection. Neural Networks 166: 273-285 (2023) - Fengyuan Hao, Xiaodong Li, Chengshi Zheng:
End-to-end neural speaker diarization with an iterative adaptive attractor estimation. Neural Networks 166: 566-578 (2023) - Lin-Chieh Huang, Hung-Hsu Tsai:
Perceptual Contrastive Generative Adversarial Network based on image warping for unsupervised image-to-image translation. Neural Networks 166: 313-325 (2023) - Myeongkyun Kang, Dong Kyu Won, Miguel Luna, Philip Chikontwe, Kyung Soo Hong, June Hong Ahn, Sanghyun Park:
Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation. Neural Networks 166: 722-737 (2023) - Saeed Karami, Farid Saberi-Movahed, Prayag Tiwari, Pekka Marttinen, Sahar Vahdati:
Unsupervised feature selection based on variance-covariance subspace distance. Neural Networks 166: 188-203 (2023) - Fanchao Kong, Quanxin Zhu, Hamid Reza Karimi:
Fixed-time periodic stabilization of discontinuous reaction-diffusion Cohen-Grossberg neural networks. Neural Networks 166: 354-365 (2023) - Gaspard Lambrechts, Florent De Geeter, Nicolas Vecoven, Damien Ernst, Guillaume Drion:
Warming up recurrent neural networks to maximise reachable multistability greatly improves learning. Neural Networks 166: 645-669 (2023) - Yanan Li, Zhimin Wang, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, Yongjian Gu:
Quantum recurrent neural networks for sequential learning. Neural Networks 166: 148-161 (2023) - Jiamin Liu, Wangli Xu, Yue Wang, Heng Lian:
Value iteration for streaming data on a continuous space with gradient method in an RKHS. Neural Networks 166: 437-445 (2023) - Han Long, Jingxuan Ci, Zhenyuan Guo, Shiping Wen, Tingwen Huang:
Synchronization of coupled switched neural networks subject to hybrid stochastic disturbances. Neural Networks 166: 459-470 (2023) - Binglong Lu, Haijun Jiang, Cheng Hu, Abdujelil Abdurahman, Mei Liu:
Adaptive pinning cluster synchronization of a stochastic reaction-diffusion complex network. Neural Networks 166: 524-540 (2023) - Yan Luo, Yangcheng Gao, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu:
Long-range zero-shot generative deep network quantization. Neural Networks 166: 683-691 (2023) - Gehua Ma, Runhao Jiang, Lang Wang, Huajin Tang:
Dual memory model for experience-once task-incremental lifelong learning. Neural Networks 166: 174-187 (2023) - Hossein Moosaei, Milan Hladík:
Sparse solution of least-squares twin multi-class support vector machine using ℓ0 and ℓp-norm for classification and feature selection. Neural Networks 166: 471-486 (2023) - Hamza Mukhtar, Adil Afzal, Sultan Alahmari, Saud Yonbawi:
CCGN: Centralized collaborative graphical transformer multi-agent reinforcement learning for multi-intersection signal free-corridor. Neural Networks 166: 396-409 (2023) - Jing Nie, Jin Xie, Jiale Cao, Yanwei Pang:
Context and detail interaction network for stereo rain streak and raindrop removal. Neural Networks 166: 215-224 (2023) - Sergey Oladyshkin, Timothy Praditia, Ilja Kröker, Farid Mohammadi, Wolfgang Nowak, Sebastian Otte:
The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory. Neural Networks 166: 85-104 (2023) - Bruno Paroli, Gianluca Martini, M. A. C. Potenza, M. Siano, Matteo Mirigliano, Paolo Milani:
Solving classification tasks by a receptron based on nonlinear optical speckle fields. Neural Networks 166: 634-644 (2023) - Ingeborg de Pater, Mihaela Mitici:
A mathematical framework for improved weight initialization of neural networks using Lagrange multipliers. Neural Networks 166: 579-594 (2023) - Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao:
Reconstructing controllable faces from brain activity with hierarchical multiview representations. Neural Networks 166: 487-500 (2023) - Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino:
ATNAS: Automatic Termination for Neural Architecture Search. Neural Networks 166: 446-458 (2023) - Ansh Kumar Sharma, Rahul Kukreja, Mayank Kharbanda, Tanmoy Chakraborty:
Node injection for class-specific network poisoning. Neural Networks 166: 236-247 (2023)
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