Neural Networks, Volume 168

Volume 168, November 2023

Erratum

• 
  Chenghui Zhen, Weiwei Zhang, Jian Mo, Ming Ji, Hongbo Zhou, Jianqing Zhu:
  RASP: Regularization-based Amplitude Saliency Pruning. 1-13

Engineering and Applications

• 
  Shike Long, Xuanju Dang, Jia Huang:
  FOESO-Net: A specific neural network for fast sensorless robot manipulator torque estimation. 14-31

Cognitive Science

• 
  Luís Sa-Couto, Andreas Wichert:
  Competitive learning to generate sparse representations for associative memory. 32-43

Learning Systems

• 
  Jin Fan, Zehao Wang, Huifeng Wu, Danfeng Sun, Jia Wu, Xin Lu:
  An Adversarial Time-Frequency Reconstruction Network for Unsupervised Anomaly Detection. 44-56

Erratum

• 
  Riccardo Poli, Ahmet Yilmaz:
  Incorrect Application of Yilmaz-Poli (2022) Initialisation Method in dePater-Mitici 2023 paper entitled "A mathematical framework for improved weight initialization of neural networks using Lagrange multipliers". 57-58

Mathematical and Computational Analysis

• 
  Hong-Li Li, Jinde Cao, Cheng Hu, Long Zhang, Haijun Jiang:
  Adaptive control-based synchronization of discrete-time fractional-order fuzzy neural networks with time-varying delays. 59-73
• 
  Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner:
  An exact mapping from ReLU networks to spiking neural networks. 74-88

Cognitive Science

• 
  Priya Tarigopula, Scott Laurence Fairhall, Anna Bavaresco, Nhut Truong, Uri Hasson:
  Improved prediction of behavioral and neural similarity spaces using pruned DNNs. 89-104

Learning Systems

• 
  Cuiping Shi, Haiyang Wu, Liguo Wang:
  CEGAT: A CNN and enhanced-GAT based on key sample selection strategy for hyperspectral image classification. 105-122

Neuroscience

• 
  Chengdai Huang, Huanan Wang, Heng Liu, Jinde Cao:
  Bifurcations of a delayed fractional-order BAM neural network via new parameter perturbations. 123-142

Learning Systems

• 
  Qi Si, Zhixia Yang, Junyou Ye:
  Symmetric LINEX loss twin support vector machine for robust classification and its fast iterative algorithm. 143-160
• 
  Yuhong Chen, Zhihao Wu, Zhaoliang Chen, Mianxiong Dong, Shiping Wang:
  Joint learning of feature and topology for multi-view graph convolutional network. 161-170
• 
  Xinyu Lei, Longjun Liu, Yi Zhang, Puhang Jia, Haonan Zhang, Nanning Zheng:
  RepCo: Replenish sample views with better consistency for contrastive learning. 171-179
• 
  Haoli Zhao, Zhenni Li, Wensheng Su, Shengli Xie:
  Dynamic sparse coding-based value estimation network for deep reinforcement learning. 180-193
• 
  Haocheng Lei, Anthony Bellotti:
  Reliable prediction intervals with directly optimized inductive conformal regression for deep learning. 194-205

Mathematical and Computational Analysis

• 
  Junhui Wu, Gang Qin, Jun Cheng, Jinde Cao, Huaicheng Yan, Iyad A. Katib:
  Adaptive neural network control for Markov jumping systems against deception attacks. 206-213

Learning Systems

• 
  Qiong Chen, Tianlin Huang, Geren Zhu, Enlu Lin:
  A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition. 214-222

Engineering and Applications

• 
  Xin Qiao, Chenyang Ge, Chaoqiang Zhao, Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
  Self-supervised depth super-resolution with contrastive multiview pre-training. 223-236
• 
  Longxing Yang, Yanxin Fu, Shun Lu, Zihao Sun, Jilin Mei, Wenxiao Zhao, Yu Hu:
  Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search. 237-255

Learning Systems

• 
  Kuai Dai, Xutao Li, Chuyao Luo, Wuqiao Chen, Yunming Ye, Shanshan Feng:
  UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network. 256-271
• 
  Zheng Wang, Bin Wu, Kaoru Ota, Mianxiong Dong, He Li:
  A multi-scale self-supervised hypergraph contrastive learning framework for video question answering. 272-286
• 
  Liao Zhu, Ping Guo, Qinglai Wei:
  Synergetic learning for unknown nonlinear H∞ control using neural networks. 287-299

Mathematical and Computational Analysis

• 
  Yusuke Hamano, Shoko Nagasaka, Hayaru Shouno:
  Exploring the role of texture features in deep convolutional neural networks: Insights from Portilla-Simoncelli statistics. 300-312

Learning Systems

• 
  Ruibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu:
  Single image denoising with a feature-enhanced network. 313-325
• 
  Fangchao Yu, Lina Wang, Bo Zeng, Kai Zhao, Zhi Pang, Tian Wu:
  How to backdoor split learning. 326-336

Erratum

• 
  Xiao Shen, Shirui Pan, Kup-Sze Choi, Xi Zhou:
  Corrigendum to " Domain-adaptive Message Passing Graph Neural Network" [Neural Netw. 164 (2023) 439-454]. 337-338

Learning Systems

• 
  Bisheng Tang, Xiaojun Chen, Shaopu Wang, Yuexin Xuan, Zhendong Zhao:
  Generalized heterophily graph data augmentation for node classification. 339-349
• 
  Binhao Ma, Jiahui Wang, Dejun Wang, Bo Meng:
  Multidomain active defense: Detecting multidomain backdoor poisoned samples via ALL-to-ALL decoupling training without clean datasets. 350-362
• 
  Hamza Mukhtar, Muhammad Usman Ghani Khan:
  STMMOT: Advancing multi-object tracking through spatiotemporal memory networks and multi-scale attention pyramids. 363-379
• 
  Huyên Pham, Xavier Warin:
  Mean-field neural networks: Learning mappings on Wasserstein space. 380-393

Mathematical and Computational Analysis

• 
  Hao Chen, Yu Guang Wang, Huan Xiong:
  Lower and upper bounds for numbers of linear regions of graph convolutional networks. 394-404

Learning Systems

• 
  Yunfei Zheng, Shiyuan Wang, Badong Chen:
  Quantized minimum error entropy with fiducial points for robust regression. 405-418
• 
  Dawen Wu, Abdel Lisser:
  Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems. 419-430
• 
  Jikui Wang, Yiwen Wu, Shaobo Li, Feiping Nie:
  A self-training algorithm based on the two-stage data editing method with mass-based dissimilarity. 431-449
• 
  Wei Zhu, Weijian Li, Earl Ray Dorsey, Jiebo Luo:
  Unsupervised anomaly detection by densely contrastive learning for time series data. 450-458
• 
  Liancheng He, Liang Bai, Xian Yang, Zhuomin Liang, Jiye Liang:
  Exploring the role of edge distribution in graph convolutional networks. 459-470

Engineering and Applications

• 
  Yangyang Li, Ruijiao Liu, Xiaobin Hao, Ronghua Shang, Peixiang Zhao, Licheng Jiao:
  EQNAS: Evolutionary Quantum Neural Architecture Search for Image Classification. 471-483

Learning Systems

• 
  Hui Dou, Furao Shen, Jian Zhao, Xinyu Mu:
  Understanding neural network through neuron level visualization. 484-495
• 
  Shuang Zhou, Hongji Xu, Zhiquan Bai, Zhengfeng Du, Jiaqi Zeng, Yang Wang, Yuhao Wang, Shijie Li, Mengmeng Wang, Yiran Li, Jianjun Li, Jie Xu:
  A multidimensional feature fusion network based on MGSE and TAAC for video-based human action recognition. 496-507
• 
  Cunhang Fan, Hongmei Zhang, Andong Li, Wang Xiang, Chengshi Zheng, Zhao Lv, Xiaopei Wu:
  CompNet: Complementary network for single-channel speech enhancement. 508-517
• 
  Jun Dan, Tao Jin, Hao Chi, Shunjie Dong, Haoran Xie, Keying Cao, Xinjing Yang:
  Trust-aware conditional adversarial domain adaptation with feature norm alignment. 518-530
• 
  Jiran Zhu, Jikun Dong, Hongyun Du, Yanfang Geng, Shengyu Fan, Hui Yu, Zengzhen Shao, Xia Wang, Yaping Yang, Weizhi Xu:
  Tell me your position: Distantly supervised biomedical entity relation extraction using entity position marker. 531-538
• 
  Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu:
  Graph structure reforming framework enhanced by commute time distance for graph classification. 539-548
• 
  Azad Deihim, Eduardo Alonso, Dimitra Apostolopoulou:
  STTRE: A Spatio-Temporal Transformer with Relative Embeddings for multivariate time series forecasting. 549-559
• 
  Mingyu Zhao, Weidong Yang, Feiping Nie:
  Deep graph reconstruction for multi-view clustering. 560-568
• 
  Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda:
  Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems. 569-579
• 
  Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski:
  Zero time waste in pre-trained early exit neural networks. 580-601
• 
  Chunmei He, Xianjun Fan, Kang Zhou, Zhengchun Ye:
  Unsupervised Domain Adaptation with Asymmetrical Margin Disparity loss and Outlier Sample Extraction. 602-614

Mathematical and Computational Analysis

• 
  Doris Voina, Eric Shea-Brown, Stefan Mihalas:
  A biologically inspired architecture with switching units can learn to generalize across backgrounds. 615-630

Neuroscience

• 
  Shivam Kalhan, Marta I. Garrido, Robert Hester, A. David Redish:
  Reward prediction-errors weighted by cue salience produces addictive behaviours in simulations, with asymmetrical learning and steeper delay discounting. 631-651

Learning Systems

• 
  Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang:
  LaenNet: Learning robust GCNs by propagating labels. 652-664
• 
  Wilfrido Gómez-Flores, Humberto Sossa:
  Learning smooth dendrite morphological neurons by stochastic gradient descent for pattern classification. 665-676