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ORCIDNeural Networks, Volume 171
Volume 171, 2024
- Yitong Guo
, Mi Lv, Chun-Ni Wang, Jun Ma:
Energy controls wave propagation in a neural network with spatial stimuli. 1-13 - Ridong Han, Tao Peng, Benyou Wang, Lu Liu, Prayag Tiwari, Xiang Wan:
Document-level Relation Extraction with Relation Correlations. 14-24 - Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar:
Dominating Set Model Aggregation for communication-efficient decentralized deep learning. 25-39 - Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda:
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling. 40-52 - Wen-Juan Lin, Qingzhi Wang, Guoqiang Tan:
Asynchronous adaptive event-triggered fault detection for delayed Markov jump neural networks: A delay-variation-dependent approach. 53-60 - Jinming Li, Qingshan Liu, Guoyi Chi:
Distributed deep reinforcement learning based on bi-objective framework for multi-robot formation. 61-72 - Haojin Li, Xiaofeng Yue, Sitian Qin:
Distributed time-varying optimization control protocol for multi-agent systems via finite-time consensus approach. 73-84 - Xinxin Kong, Fei Yu, Wei Yao, Shuo Cai, Jin Zhang, Hairong Lin:
Memristor-induced hyperchaos, multiscroll and extreme multistability in fractional-order HNN: Image encryption and FPGA implementation. 85-103 - Yingchun Wang, Song Guo, Jingcai Guo, Jie Zhang, Weizhan Zhang, Caixia Yan, Yuanhong Zhang:
Towards performance-maximizing neural network pruning via global channel attention. 104-113 - Rui Chen, Yongqiang Tang, Wensheng Zhang, Wenlong Feng:
Adaptive-weighted deep multi-view clustering with uniform scale representation. 114-126 - Ronghui Mu, Leandro Soriano Marcolino, Qiang Ni, Wenjie Ruan:
Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond. 127-143 - Hao Chen, Yu Guang Wang, Huan Xiong:
Corrigendum to "Lower and upper bounds for numbers of linear regions of graph convolutional networks" [Neural Networks Volume 168, November 2023, Pages 394-404]. 144 - Wenwen Jia, Tingwen Huang, Sitian Qin:
A collective neurodynamic penalty approach to nonconvex distributed constrained optimization. 145-158 - Jieru Yao, Longfei Han, Guangyu Guo, Zhaohui Zheng, Runmin Cong, Xiankai Huang, Jin Ding, Kaihui Yang, Dingwen Zhang, Junwei Han:
Position-based anchor optimization for point supervised dense nuclei detection. 159-170 - Neil W. Bailey, Ben D. Fulcher, Bridget Caldwell, Aron T. Hill, Bernadette M. Fitzgibbon, Hanneke van Dijk, Paul B. Fitzgerald:
Uncovering a stability signature of brain dynamics associated with meditation experience using massive time-series feature extraction. 171-185 - Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu:
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization. 186-199 - Saiji Fu, Xiaoxiao Wang, Jingjing Tang, Shulin Lan, Ying-Jie Tian:
Generalized robust loss functions for machine learning. 200-214 - Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi:
Beyond multilayer perceptrons: Investigating complex topologies in neural networks. 215-228 - Luis Balderas, Miguel Lastra, José Manuel Benítez:
Optimizing dense feed-forward neural networks. 229-241 - Yusuke Watanabe, Yuki Miyazaki, Masahiro Hata, Ryohei Fukuma, Yasunori Aoki, Hiroaki Kazui, Toshihiko Araki, Daiki Taomoto, Yuto Satake, Takashi Suehiro, Shunsuke Sato, Hideki Kanemoto, Kenji Yoshiyama, Ryouhei Ishii, Tatsuya Harada, Haruhiko Kishima, Manabu Ikeda, Takufumi Yanagisawa:
A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study. 242-250 - Yong Luo, Jianying Zheng, Xiang Wang, Yanyun Tao, Xingxing Jiang:
GT-LSTM: A spatio-temporal ensemble network for traffic flow prediction. 251-262 - Xiaochen Liu, Tao Zhang, Mingming Liu:
Joint estimation of pose, depth, and optical flow with a competition-cooperation transformer network. 263-275 - Bo Li, Zhixin Li:
Large-Scale Cross-Modal Hashing with Unified Learning and Multi-Object Regional Correlation Reasoning. 276-292 - Wenyong Zhang, Boyu Chen, Jianfeng Feng, Wenlian Lu:
On a framework of data assimilation for hyperparameter estimation of spiking neuronal networks. 293-307 - Haicheng Tao, Jie Cao, Lei Chen, Hong-Liang Sun, Yong Shi, Xingquan Zhu:
Black-box attacks on dynamic graphs via adversarial topology perturbations. 308-319 - Wing W. Y. Ng, Qin Zhang, Cankun Zhong, Jianjun Zhang:
Improving domain generalization by hybrid domain attention and localized maximum sensitivity. 320-331 - Zhenjie Zhao, Hang Yu, Hang Wu, Xuebo Zhang:
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach. 332-342 - Felipe Dennis de Resende Oliveira, Eduardo Luiz Ortiz Batista, Rui Seara:
On the compression of neural networks using ℓ0-norm regularization and weight pruning. 343-352 - Lisheng Wen, Sentao Chen, Mengying Xie, Cheng Liu, Lin Zheng:
Training multi-source domain adaptation network by mutual information estimation and minimization. 353-361 - Jin Li, Qingyu Sun, Feng Zhang, Beining Yang:
Meta-structure-based graph attention networks. 362-373 - Shichuan Zhang, Chenglu Zhu, Honglin Li, Jiatong Cai, Lin Yang:
Gradient-aware learning for joint biases: Label noise and class imbalance. 374-382 - Xiaoxia Zhang, Shang Shi, Haichao Sun, Degang Chen, Guoyin Wang, Kesheng Wu:
ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection. 383-395 - Fangchao Yu, Lina Wang, Bo Zeng, Kai Zhao, Tian Wu, Zhi Pang:
SIA: A sustainable inference attack framework in split learning. 396-409 - Daogang Peng, Weiyi Zhou, Junzhen Pan, Danhao Wang:
MSEDNet: Multi-scale fusion and edge-supervised network for RGB-T salient object detection. 410-422 - Gaochen Dong, W. Chen:
Blockwise compression of transformer-based models without retraining. 423-428 - Yuning Cui, Alois Knoll:
Dual-domain strip attention for image restoration. 429-439 - Zedong Bi, Haoran Li, Liang Tian:
Top-down generation of low-resolution representations improves visual perception and imagination. 440-456 - Jiachi Zhao, Hongwen Zhang, Yue Wang, Yiteng Zhai, Yao Yang:
Deep Isotonic Embedding Network: A flexible Monotonic Neural Network. 457-465 - Lei Cheng, Tong Yu, Ruslan Khalitov, Zhirong Yang:
Self-supervised Learning for DNA sequences with circular dilated convolutional networks. 466-473 - Wen Ou, Biao Luo, Bingchuan Wang, Yuqian Zhao:
Modular hierarchical reinforcement learning for multi-destination navigation in hybrid crowds. 474-484 - Shunshun Zhong, Haibo Zhou, Zhongxu Zheng, Zhu Ma, Fan Zhang, Ji'an Duan:
Hierarchical attention-guided multiscale aggregation network for infrared small target detection. 485-496 - Arya Karami, Seyed Taghi Akhavan Niaki:
An Online Support Vector Machine Algorithm for Dynamic Social Network Monitoring. 497-511
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