Connectionists: NEURAL NETWORKS, March 2024

[Wang, Deliang]

Neural Networks - Volume 171, March 2024
https://www.journals.elsevier.com/neural-networks


MSEDNet: Multi-scale fusion and edge-supervised network for RGB-T salient object detection
Daogang Peng, Weiyi Zhou, Junzhen Pan, Danhao Wang

Energy controls wave propagation in a neural network with spatial stimuli
Yitong Guo, Mi Lv, Chunni Wang, Jun Ma

Towards performance-maximizing neural network pruning via global channel attention
Yingchun Wang, Song Guo, Jingcai Guo, Jie Zhang, ... Yuanhong Zhang

Uncovering a stability signature of brain dynamics associated with meditation experience using massive time-series feature extraction
Neil W Bailey, Ben D. Fulcher, Bridget Caldwell, Aron T Hill, ... Paul B Fitzgerald

A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study
Yusuke Watanabe, Yuki Miyazaki, Masahiro Hata, Ryohei Fukuma, ... Takufumi Yanagisawa

Top-down generation of low-resolution representations improves visual perception and imagination
Zedong Bi, Haoran Li, Liang Tian

Document-level Relation Extraction with Relation Correlations
Ridong Han, Tao Peng, Benyou Wang, Lu Liu, ... Xiang Wan

Dominating Set Model Aggregation for communication-efficient decentralized deep learning
Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, ... Soumik Sarkar

Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling
Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda

Distributed deep reinforcement learning based on bi-objective framework for multi-robot formation
Jinming Li, Qingshan Liu, Guoyi Chi

Adaptive-weighted deep multi-view clustering with uniform scale representation
Rui Chen, Yongqiang Tang, Wensheng Zhang, Wenlong Feng

Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond
Ronghui Mu, Leandro Marcolino, Qiang Ni, Wenjie Ruan

Position-based anchor optimization for point supervised dense nuclei detection
Jieru Yao, Longfei Han, Guangyu Guo, Zhaohui Zheng, ... Junwei Han

Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization
Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu

Generalized robust loss functions for machine learning
Saiji Fu, Xiaoxiao Wang, Jingjing Tang, Shulin Lan, Yingjie Tian

Beyond multilayer perceptrons: Investigating complex topologies in neural networks
Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi

Optimizing dense feed-forward neural networks
Luis Balderas, Miguel Lastra, José M. Benítez

Joint estimation of pose, depth, and optical flow with a competition–cooperation transformer network
Xiaochen Liu, Tao Zhang, Mingming Liu

Large-Scale Cross-Modal Hashing with Unified Learning and Multi-Object Regional Correlation Reasoning
Bo Li, Zhixin Li

Black-box attacks on dynamic graphs via adversarial topology perturbations
Haicheng Tao, Jie Cao, Lei Chen, Hongliang Sun, ... Xingquan Zhu

Improving domain generalization by hybrid domain attention and localized maximum sensitivity
Wing W.Y. Ng, Qin Zhang, Cankun Zhong, Jianjun Zhang

On the compression of neural networks using ℓ0-norm regularization and weight pruning
Felipe Dennis de Resende Oliveira, Eduardo Luiz Ortiz Batista, Rui Seara

Training multi-source domain adaptation network by mutual information estimation and minimization
Lisheng Wen, Sentao Chen, Mengying Xie, Cheng Liu, Lin Zheng

Meta-structure-based graph attention networks
Jin Li, Qingyu Sun, Feng Zhang, Beining Yang

Gradient-aware learning for joint biases: Label noise and class imbalance
Shichuan Zhang, Chenglu Zhu, Honglin Li, Jiatong Cai, Lin Yang

ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection
Xiaoxia Zhang, Shang Shi, HaiChao Sun, Degang Chen, ... Kesheng Wu

SIA: A sustainable inference attack framework in split learning
Fangchao Yu, Lina Wang, Bo Zeng, Kai Zhao, ... Zhi Pang

Dual-domain strip attention for image restoration
Yuning Cui, Alois Knoll

Deep Isotonic Embedding Network: A flexible Monotonic Neural Network
Jiachi Zhao, Hongwen Zhang, Yue Wang, Yiteng Zhai, Yao Yang

Modular hierarchical reinforcement learning for multi-destination navigation in hybrid crowds
Wen Ou, Biao Luo, Bingchuan Wang, Yuqian Zhao

Hierarchical attention-guided multiscale aggregation network for infrared small target detection
Shunshun Zhong, Haibo Zhou, Zhongxu Zheng, Zhu Ma, ... Ji'an Duan

Asynchronous adaptive event-triggered fault detection for delayed Markov jump neural networks: A delay-variation-dependent approach
Wen-Juan Lin, Qingzhi Wang, Guoqiang Tan

Distributed time-varying optimization control protocol for multi-agent systems via finite-time consensus approach
Haojin Li, Xiaofeng Yue, Sitian Qin

A collective neurodynamic penalty approach to nonconvex distributed constrained optimization
Wenwen Jia, Tingwen Huang, Sitian Qin

On a framework of data assimilation for hyperparameter estimation of spiking neuronal networks
Wenyong Zhang, Boyu Chen, Jianfeng Feng, Wenlian Lu

Self-supervised Learning for DNA sequences with circular dilated convolutional networks
Lei Cheng, Tong Yu, Ruslan Khalitov, Zhirong Yang

Memristor-induced hyperchaos, multiscroll and extreme multistability in fractional-order HNN: Image encryption and FPGA implementation
Xinxin Kong, Fei Yu, Wei Yao, Shuo Cai, ... Hairong Lin

GT-LSTM: A spatio-temporal ensemble network for traffic flow prediction
Yong Luo, Jianying Zheng, Xiang Wang, Yanyun Tao, Xingxing Jiang

Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach
Zhenjie Zhao, Hang Yu, Hang Wu, Xuebo Zhang

Blockwise compression of transformer-based models without retraining
Gaochen Dong, W. Chen

An Online Support Vector Machine Algorithm for Dynamic Social Network Monitoring
Arya Karami, Seyed Taghi Akhavan Niaki

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