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Link to original content: https://dblp.org/db/journals/nn/nn167.html

Neural Networks, Volume 167

Volume 167, October 2023

Learning Systems

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  Aiping Yang, Yumeng Liu, Jinbin Wang, Xiaoxiao Li, Jiale Cao, Zhong Ji, Yanwei Pang:
  Visual-quality-driven unsupervised image dehazing. 1-9

Engineering and Applications

• 
  Honggui Han, Qiyu Zhang, Fangyu Li, Yongping Du:
  Spatial oblivion channel attention targeting intra-class diversity feature learning. 10-21

Learning Systems

• 
  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. 22-35

Mathematical and Computational Analysis

• 
  Yuping Liu, Yuzhen Zhao:
  Spiking neural P systems with lateral inhibition. 36-49

Engineering and Applications

• 
  Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Yukihiro Bandoh, Hayaru Shouno:
  Distorted image classification using neural activation pattern matching loss. 50-64
• 
  Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi:
  Subspace distillation for continual learning. 65-79
• 
  Ali Kashefi, Tapan Mukerji:
  Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet. 80-91

Learning Systems

• 
  Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He:
  ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation. 92-103
• 
  Haiyuan Gui, Shanchen Pang, ShiHang Yu, Sibo Qiao, Yufeng Qi, Xiao He, Min Wang, Xue Zhai:
  Cross-domain policy adaptation with dynamics alignment. 104-117
• 
  Bowei Chen, Sen Xu, Heyang Xu, Xuesheng Bian, Naixuan Guo, Xiufang Xu, Xiaopeng Hua:
  Structure-aware deep clustering network based on contrastive learning. 118-128
• 
  Haigang Zhang, Xianglong Meng, Weipeng Cao, Ye Liu, Zhong Ming, Jinfeng Yang:
  Graph embedding based multi-label Zero-shot Learning. 129-140

Engineering and Applications

• 
  Wonjeong Ryoo, Giljoo Nam, Jae-Sang Hyun, Sangpil Kim:
  Event fusion photometric stereo network. 141-158

Learning Systems

• 
  Indro Spinelli, Riccardo Bianchini, Simone Scardapane:
  Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks. 159-167

Mathematical and Computational Analysis

• 
  Fei Wei, Guici Chen, Zhigang Zeng, Nallappan Gunasekaran:
  Finite/fixed-time synchronization of inertial memristive neural networks by interval matrix method for secure communication. 168-182

Neuroscience

• 
  Dongxue Zhang, Huiying Li, Jingmeng Xie, Dajun Li:
  MI-DAGSC: A domain adaptation approach incorporating comprehensive information from MI-EEG signals. 183-198

Engineering and Applications

• 
  Boxiang Zhang, Zunran Wang, Yonggen Ling, Yuanyuan Guan, Shenghao Zhang, Wenhui Li, Lei Wei, Chunxu Zhang:
  ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation. 199-212

Learning Systems

• 
  Youfa Liu, Shufan Tong, Yongyong Chen:
  HMM-GDAN: Hybrid multi-view and multi-scale graph duplex-attention networks for drug response prediction in cancer. 213-222
• 
  Haoran Duan, Cheng Xie, Bin Li, Peng Tang:
  Self-supervised contrastive graph representation with node and graph augmentation. 223-232
• 
  Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon:
  Learning domain invariant representations by joint Wasserstein distance minimization. 233-243

Cognitive Science

• 
  Damiem Rolon-Merette, Thadde Rolon-Merette, Sylvain Chartier:
  A multilayered bidirectional associative memory model for learning nonlinear tasks. 244-265

Learning Systems

• 
  Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee:
  Bridged adversarial training. 266-282
• 
  Yao Lu, Stephen Gould, Thalaiyasingam Ajanthan:
  Bidirectionally self-normalizing neural networks. 283-291
• 
  Yanbin Zhang, Mathias Thor, Nat Dilokthanakul, Zhendong Dai, Poramate Manoonpong:
  Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot. 292-308
• 
  Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti:
  Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details. 309-330
• 
  Danyu Lin, Shan Xue, Derong Liu, Mingming Liang, Yonghua Wang:
  Adaptive dynamic programming-based hierarchical decision-making of non-affine systems. 331-341
• 
  Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu, Baokang Zhao:
  Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection. 342-359
• 
  Sathishkumar Moorthy, Young Hoon Joo:
  Learning dynamic spatial-temporal regularized correlation filter tracking with response deviation suppression via multi-feature fusion. 360-379
• 
  Qinghua Zhou, Shuihua Wang, Hengde Zhu, Xin Zhang, Yudong Zhang:
  Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size data. 380-399
• 
  Amr Farahat, Felix Effenberger, Martin A. Vinck:
  A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations. 400-414
• 
  Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng:
  Information theory-guided heuristic progressive multi-view coding. 415-432
• 
  Jian Xiao, Yiwen Sun, Xiaojun Bi:
  Word self-update contrastive adversarial networks for text-to-image synthesis. 433-444
• 
  Deborah Pereg:
  Information theoretic perspective on sample complexity. 445-449
• 
  Zihan Chen, Biao Luo, Tianmeng Hu, Xiaodong Xu:
  LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning. 450-459
• 
  Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, Joya Chen, Tie Zhang, Enhong Chen:
  Communication-efficient federated learning with stagewise training strategy. 460-472

Neuroscience

• 
  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. 473-488

Engineering and Applications

• 
  Jose L. Salazar-González, Juan Antonio Álvarez-García, Fernando J. Rendón-Segador, Fabio Carrara:
  Conditioned Cooperative training for semi-supervised weapon detection. 489-501

Learning Systems

• 
  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. 502-516
• 
  Laszlo Papp, David Haberl, Boglarka Ecsedi, Clemens P. Spielvogel, Denis Krajnc, Marko Grahovac, Sasan Moradi, Wolfgang Drexler:
  DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters. 517-532

Engineering and Applications

• 
  Rui Ye, Baoquan Zhang, Xutao Li, Yunming Ye:
  PEPNet: A barotropic primitive equations-based network for wind speed prediction. 533-550

Learning Systems

• 
  Xuehao Gao, Shaoyi Du, Yang Yang:
  Glimpse and focus: Global and local-scale graph convolution network for skeleton-based action recognition. 551-558
• 
  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. 559-571

Mathematical and Computational Analysis

• 
  Shaobo He, Vignesh Dhakshinamoorthy, Lamberto Rondoni, Santo Banerjee:
  Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor. 572-587
• 
  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. 588-600

Learning Systems

• 
  Chang Wu, Gang He, Xinquan Lai, Yunsong Li:
  MPCNet: Compressed multi-view video restoration via motion-parallax complementation network. 601-614
• 
  Chunpeng Zhou, Haishuai Wang, Sheng Zhou, Zhi Yu, Danushka Bandara, Jiajun Bu:
  Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning. 615-625
• 
  Yingjie Tian, Kunlong Bai, Xiaotong Yu, Siyu Zhu:
  Causal multi-label learning for image classification. 626-637

Mathematical and Computational Analysis

• 
  Jiayuan Xie, Jiali Chen, Wenhao Fang, Yi Cai, Qing Li:
  Visual question generation for explicit questioning purposes based on target objects. 638-647

Learning Systems

• 
  Wenhui Zhao, Quanxue Gao, Shikun Mei, Ming Yang:
  Contrastive self-representation learning for data clustering. 648-655
• 
  Xunyu Zhu, Jian Li, Yong Liu, Weiping Wang:
  Improving Differentiable Architecture Search via self-distillation. 656-667
• 
  Xiaona Song, Peng Sun, Choon Ki Ahn, Shuai Song:
  Switching ETM-based neural adaptive output feedback control for nonaffine stochastic MIMO nonlinear systems subject to deferred constraint. 668-679

Mathematical and Computational Analysis

• 
  Jia-Rui Zhang, Jun-Guo Lu, Xiao-Chuang Jin, Xing-Yu Yang:
  Novel results on asymptotic stability and synchronization of fractional-order memristive neural networks with time delays: The 0δ≤1 case. 680-691

Engineering and Applications

• 
  Donghee Yang, Junhyun Cho, Sungchul Lee:
  A scalable second order optimizer with an adaptive trust region for neural networks. 692-705

Learning Systems

• 
  Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu:
  Boosting adversarial robustness via self-paced adversarial training. 706-714
• 
  Federico Succetti, Antonello Rosato, Massimo Panella:
  An adaptive embedding procedure for time series forecasting with deep neural networks. 715-729

Engineering and Applications

• 
  Dian Zhang, Yunwei Dong:
  Adv-BDPM: Adversarial attack based on Boundary Diffusion Probability Model. 730-740

Learning Systems

• 
  Xi Zhou, Wei Xiang, Tao Huang:
  A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data. 741-750
• 
  Jiangyu Wang, Ding Wang, Xin Li, Junfei Qiao:
  Dichotomy value iteration with parallel learning design towards discrete-time zero-sum games. 751-762

Mathematical and Computational Analysis

• 
  Wenqing Zhao, Guoliang Chen, Xiangpeng Xie, Jianwei Xia, Ju H. Park:
  Sampled-data exponential consensus of multi-agent systems with Lipschitz nonlinearities. 763-774

Learning Systems

• 
  Qian Zhou, Quanxue Gao, Qianqian Wang, Ming Yang, Xinbo Gao:
  Sparse discriminant PCA based on contrastive learning and class-specificity distribution. 775-786

Engineering and Applications

• 
  Chengmin Lin, Pengfei Yang, Quan Wang, Zeyu Qiu, Wenkai Lv, Zhenyi Wang:
  Efficient and accurate compound scaling for convolutional neural networks. 787-797

Mathematical and Computational Analysis

• 
  Dan Wang, Xin-Wei Liu:
  A varying-parameter fixed-time gradient-based dynamic network for convex optimization. 798-809

Learning Systems

• 
  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. 810-826

Neuroscience

• 
  Nebras M. Warsi, Simeon M. Wong, Jürgen Germann, Alexandre Boutet, Olivia N. Arski, Ryan Anderson, Lauren Erdman, Han Yan, Hrishikesh Suresh, Flavia Venetucci Gouveia, Aaron Loh, Gavin J. B. Elias, Elizabeth Kerr, Mary Lou Smith, Ayako Ochi, Hiroshi Otsubo, Roy Sharma, Puneet Jain, Elizabeth Donner, Andres M. Lozano, O. Carter Snead, George M. Ibrahim:
  Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography. 827-837

Mathematical and Computational Analysis

• 
  Zhaohui Li, Xinyan Wang, Yanyu Xing, Xi Zhang, Tao Yu, Xiaoli Li:
  Measuring multivariate phase synchronization with symbolization and permutation. 838-846

Learning Systems

• 
  Lihua Zhang, Quan Liu, Fei Zhu, Zhigang Huang:
  Addressing implicit bias in adversarial imitation learning with mutual information. 847-864

Engineering and Applications

• 
  Abolfazl Mirkazemy, Peyman Adibi, Seyed Mohhamad Saied Ehsani, Alireza Darvishy, Hans-Peter Hutter:
  Mathematical expression recognition using a new deep neural model. 865-874
• 
  Jumpei Ukita, Kenichi Ohki:
  Adversarial attacks and defenses using feature-space stochasticity. 875-889