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Publication search results
found 67 matches
- 2023
- Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon:
Learning domain invariant representations by joint Wasserstein distance minimization. Neural Networks 167: 233-243 (2023) - Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu, Baokang Zhao:
Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection. Neural Networks 167: 342-359 (2023) - Micha Burkhardt, Julia Bergelt, Lorenz Gönner, Helge Ulo Dinkelbach, Frederik Beuth, Alex Schwarz, Andrej Bicanski, Neil Burgess, Fred H. Hamker:
A large-scale neurocomputational model of spatial cognition integrating memory with vision. Neural Networks 167: 473-488 (2023) - Wei Chen, Chen Li, Dan Chen, Xin Luo:
A knowledge-based learning framework for self-supervised pre-training towards enhanced recognition of biomedical microscopy images. Neural Networks 167: 810-826 (2023) - Zihan Chen, Biao Luo, Tianmeng Hu, Xiaodong Xu:
LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning. Neural Networks 167: 450-459 (2023) - Bowei Chen, Sen Xu, Heyang Xu, Xuesheng Bian, Naixuan Guo, Xiufang Xu, Xiaopeng Hua:
Structure-aware deep clustering network based on contrastive learning. Neural Networks 167: 118-128 (2023) - Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, Joya Chen, Tie Zhang, Enhong Chen:
Communication-efficient federated learning with stagewise training strategy. Neural Networks 167: 460-472 (2023) - Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He:
ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation. Neural Networks 167: 92-103 (2023) - Haoran Duan, Cheng Xie, Bin Li, Peng Tang:
Self-supervised contrastive graph representation with node and graph augmentation. Neural Networks 167: 223-232 (2023) - Amr Farahat, Felix Effenberger, Martin A. Vinck:
A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations. Neural Networks 167: 400-414 (2023) - Parham Faraji, Mohammad Bagher Khodabakhshi:
CollectiveNet-AltSpec: A collective concurrent CNN architecture of alternate specifications for EEG media perception and emotion tracing aided by multi-domain feature-augmentation. Neural Networks 167: 502-516 (2023) - Xuehao Gao, Shaoyi Du, Yang Yang:
Glimpse and focus: Global and local-scale graph convolution network for skeleton-based action recognition. Neural Networks 167: 551-558 (2023) - Haiyuan Gui, Shanchen Pang, ShiHang Yu, Sibo Qiao, Yufeng Qi, Xiao He, Min Wang, Xue Zhai:
Cross-domain policy adaptation with dynamics alignment. Neural Networks 167: 104-117 (2023) - Honggui Han, Qiyu Zhang, Fangyu Li, Yongping Du:
Spatial oblivion channel attention targeting intra-class diversity feature learning. Neural Networks 167: 10-21 (2023) - Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu:
Boosting adversarial robustness via self-paced adversarial training. Neural Networks 167: 706-714 (2023) - Shaobo He, Vignesh Dhakshinamoorthy, Lamberto Rondoni, Santo Banerjee:
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor. Neural Networks 167: 572-587 (2023) - Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti:
Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details. Neural Networks 167: 309-330 (2023) - Ali Kashefi, Tapan Mukerji:
Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet. Neural Networks 167: 80-91 (2023) - Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee:
Bridged adversarial training. Neural Networks 167: 266-282 (2023) - Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng:
Information theory-guided heuristic progressive multi-view coding. Neural Networks 167: 415-432 (2023) - Guangfei Li, Quanxue Gao, Ming Yang, Xinbo Gao:
Active learning based on similarity level histogram and adaptive-scale sampling for very high resolution image classification. Neural Networks 167: 22-35 (2023) - Zhaohui Li, Xinyan Wang, Yanyu Xing, Xi Zhang, Tao Yu, Xiaoli Li:
Measuring multivariate phase synchronization with symbolization and permutation. Neural Networks 167: 838-846 (2023) - Danyu Lin, Shan Xue, Derong Liu, Mingming Liang, Yonghua Wang:
Adaptive dynamic programming-based hierarchical decision-making of non-affine systems. Neural Networks 167: 331-341 (2023) - Chengmin Lin, Pengfei Yang, Quan Wang, Zeyu Qiu, Wenkai Lv, Zhenyi Wang:
Efficient and accurate compound scaling for convolutional neural networks. Neural Networks 167: 787-797 (2023) - Youfa Liu, Shufan Tong, Yongyong Chen:
HMM-GDAN: Hybrid multi-view and multi-scale graph duplex-attention networks for drug response prediction in cancer. Neural Networks 167: 213-222 (2023) - Yuping Liu, Yuzhen Zhao:
Spiking neural P systems with lateral inhibition. Neural Networks 167: 36-49 (2023) - Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu:
On exploring node-feature and graph-structure diversities for node drop graph pooling. Neural Networks 167: 559-571 (2023) - Yao Lu, Stephen Gould, Thalaiyasingam Ajanthan:
Bidirectionally self-normalizing neural networks. Neural Networks 167: 283-291 (2023) - Rui Luo, Zhinan Peng, Jiangping Hu, Bijoy Kumar Ghosh:
Adaptive optimal control of affine nonlinear systems via identifier-critic neural network approximation with relaxed PE conditions. Neural Networks 167: 588-600 (2023) - Abolfazl Mirkazemy, Peyman Adibi, Seyed Mohhamad Saied Ehsani, Alireza Darvishy, Hans-Peter Hutter:
Mathematical expression recognition using a new deep neural model. Neural Networks 167: 865-874 (2023)
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