Connectionists: NEURAL NETWORKS, July 2023

[Wang, Deliang]

Neural Networks - Volume 164, July 2023
https://www.journals.elsevier.com/neural-networks


Event-triggered control for robust exponential synchronization of inertial memristive neural networks under parameter disturbance
Wei Yao, Chunhua Wang, Yichuang Sun, Shuqing Gong, Hairong Lin

Input-to-state stability of positive delayed neural networks via impulsive control
Wu-Hua Chen, Xiujuan Li, Shuning Niu, Xiaomei Lu

A survey of sum-product networks structural learning
Riting Xia, Yan Zhang, Xueyan Liu, Bo Yang

Contrast sensitivity function in deep networks
Arash Akbarinia, Yaniv Morgenstern, Karl R. Gegenfurtner

A deep connectome learning network using graph convolution for connectome-disease association study
Yanwu Yang, Chenfei Ye, Ting Ma

Prospective classification of Alzheimer's disease conversion from mild cognitive impairment
Sunghong Park, Chang Hyung Hong, Dong-gi Lee, Kanghee Park, ... Hyunjung Shin

Automatized offline and online exploration to achieve a target dynamics in biohybrid neural circuits built with living and model neurons
Manuel Reyes-Sanchez, Rodrigo Amaducci, Pablo Sanchez-Martin, Irene Elices, ... Pablo Varona

Evolution-communication spiking neural P systems with energy request rules
Liping Wang, Xiyu Liu, Minghe Sun, Yuzhen Zhao

A transformer-based deep neural network model for SSVEP classification
Jianbo Chen, Yangsong Zhang, Yudong Pan, Peng Xu, Cuntai Guan

ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation
Aref Einizade, Samaneh Nasiri, Sepideh Hajipour Sardouie, Gari D. Clifford

Imitating the oracle: Towards calibrated model for class incremental learning
Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Theoretical bounds of generalization error for generalized extreme learning machine and random vector functional link network
Meejoung Kim

TIToK: A solution for bi-imbalanced unsupervised domain adaptation
Yunyun Wang, Quchuan Chen, Yao Liu, Weikai Li, Songcan Chen

Optimal tracking control of nonlinear systems with zero-equilibrium-free via novel adaptive critic designs
Zhinan Peng, Hanqi Ji, Chaobin Zou, Yiqun Kuang, ... Bijoy Kumar Ghosh

Explainable hybrid word representations for sentiment analysis of financial news
Surabhi Adhikari, Surendrabikram Thapa, Usman Naseem, Hai Ya Lu, ... Mukesh Prasad

A novel sequential structure for lightweight multi-scale feature learning under limited available images
Peng Liu, Jie Du, Chi-Man Vong

Long short-term memory with activation on gradient
Chuan Qin, Liangming Chen, Zangtai Cai, Mei Liu, Long Jin

CSAST: Content self-supervised and style contrastive learning for arbitrary style transfer
Yuqi Zhang, Yingjie Tian, Junjie Hou

Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes
Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, ... Ansgar Scherp

Learning defense transformations for counterattacking adversarial examples
Jincheng Li, Shuhai Zhang, Jiezhang Cao, Mingkui Tan

PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning
Beibei Zhang, Lishuang Li

One-shot Federated Learning without server-side training
Shangchao Su, Bin Li, Xiangyang Xue

A novel time series prediction method based on pooling compressed sensing echo state network and its application in stock market
Zijian Wang, Hui Zhao, Mingwen Zheng, Sijie Niu, ... Lixiang Li

Co-attention enabled content-based image retrieval
Zechao Hu, Adrian G. Bors

Growing dendrites enhance a neuron's computational power and memory capacity
William B Levy, Robert A. Baxter

Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion
Qianyu Li, Jiale Yao, Xiaoli Tang, Han Yu, ... Hengjie Song

Multi-teacher knowledge distillation based on joint Guidance of Probe and Adaptive Corrector
Ronghua Shang, Wenzheng Li, Songling Zhu, Licheng Jiao, Yangyang Li

B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning
Xiangmin Han, Bangming Gong, Lehang Guo, Jun Wang, ... Jun Shi

Joint feature selection and optimal bipartite graph learning for subspace clustering
Shikun Mei, Wenhui Zhao, Quanxue Gao, Ming Yang, Xinbo Gao

A reinforcement learning algorithm acquires demonstration from the training agent by dividing the task space
Lipeng Zu, Xiao He, Jia Yang, Lianqing Liu, Wenxue Wang

Domain-adaptive message passing graph neural network
Xiao Shen, Shirui Pan, Kup-Sze Choi, Xi Zhou

An accelerated end-to-end method for solving routing problems
Tianyu Zhu, Xinli Shi, Xiangping Xu, Jinde Cao

Generating post-hoc explanations for Skip-gram-based node embeddings by identifying important nodes with bridgeness
Hogun Park, Jennifer Neville

A spectral graph convolution for signed directed graphs via magnetic Laplacian
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim

Continual learning with invertible generative models
Jary Pomponi, Simone Scardapane, Aurelio Uncini

Multi-granularity knowledge distillation and prototype consistency regularization for class-incremental learning
Yanyan Shi, Dianxi Shi, Ziteng Qiao, Zhen Wang, ... Chunping Qiu

Distance metric learning based on the class center and nearest neighbor relationship
Yifeng Zhao, Liming Yang

Credit assignment with predictive contribution measurement in multi-agent reinforcement learning
Renlong Chen, Ying Tan

Collaborative bi-aggregation for directed graph embedding
Linsong Liu, Ke-Jia Chen, Zheng Liu

LoyalDE: Improving the performance of Graph Neural Networks with loyal node discovery and emphasis
Haotong Wei, Yinlin Zhu, Xunkai Li, Bin Jiang

Basis operator network: A neural network-based model for learning nonlinear operators via neural basis
Ning Hua, Wenlian Lu

Aperiodic switching event-triggered stabilization of continuous memristive neural networks with interval delays
Yaning Wang, Huan Tuo, Huiping Lyu, Zunshui Cheng, Youming Xin

Stability analysis of stochastic gradient descent for homogeneous neural networks and linear classifiers
Alexandre Lemire Paquin, Brahim Chaib-draa, Philippe Giguère

Tree-structured neural networks: Spatiotemporal dynamics and optimal control
Jiajin He, Min Xiao, Jing Zhao, Zhengxin Wang, ... Jinde Cao

A direct discretization recurrent neurodynamics method for time-variant nonlinear optimization with redundant robot manipulators
Yang Shi, Wangrong Sheng, Shuai Li, Bin Li, ... Dimitrios K. Gerontitis

Quasi-projective and complete synchronization of discrete-time fractional-order delayed neural networks
Xiao-Li Zhang, Hong-Li Li, Yongguang Yu, Long Zhang, Haijun Jiang

Event-triggered fault-tolerant control for input-constrained nonlinear systems with mismatched disturbances via adaptive dynamic programming
Heng Zhao, Huanqing Wang, Ben Niu, Xudong Zhao, Khalid H. Alharbi

Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors
Norikazu Takahashi, Tsuyoshi Yamakawa, Yasuhiro Minetoma, Tetsuo Nishi, Tsuyoshi Migita

Approximate spectral decomposition of Fisher information matrix for simple ReLU networks
Yoshinari Takeishi, Masazumi Iida, Jun'ichi Takeuchi

Self-supervision assisted multimodal remote sensing image classification with coupled self-looping convolution networks
Shivam Pande, Biplab Banerjee

Semi-supervised deep embedded clustering with pairwise constraints and subset allocation
Yalin Wang, Jiangfeng Zou, Kai Wang, Chenliang Liu, Xiaofeng Yuan

SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses
Chuanqing Wang, Chaoming Fang, Yong Zou, Jie Yang, Mohamad Sawan

A multi-view co-training network for semi-supervised medical image-based prognostic prediction
Hailin Li, Siwen Wang, Bo Liu, Mengjie Fang, ... Jie Tian

An adaptive reinforcement learning-based multimodal data fusion framework for human-robot confrontation gaming
Wen Qi, Haoyu Fan, Hamid Reza Karimi, Hang Su


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