Connectionists: NEURAL NETWORKS, February 2024

[Wang, Deliang]

Neural Networks - Volume 170, February 2024
https://www.journals.elsevier.com/neural-networks


BrainGridNet: A two-branch depthwise CNN for decoding EEG-based multi-class motor imagery
Xingfu Wang, Yu Wang, Wenxia Qi, Delin Kong, Wei Wang

Classification of DBS microelectrode recordings using a residual neural network with attention in the temporal domain
K.A. Ciecierski, T. Mandat

A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG
Giorgio Gosti, Edoardo Milanetti, Viola Folli, Francesco de Pasquale, ... Stefania Della Penna

Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation
Naoko Koide-Majima, Shinji Nishimoto, Kei Majima

AdjointBackMapV2: Precise reconstruction of arbitrary CNN unit's activation via adjoint operators
Qing Wan, Siu Wun Cheung, Yoonsuck Choe

Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing
Alexander Wikner, Joseph Harvey, Michelle Girvan, Brian R. Hunt, ... Edward Ott

LFighter: Defending against the label-flipping attack in federated learning
Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia

MCNet: A multi-level context-aware network for the segmentation of adrenal gland in CT images
Jinhao Li, Huying Li, Yuan Zhang, Zhiqiang Wang, ... Xieping Gao

Teacher-student complementary sample contrastive distillation
Zhiqiang Bao, Zhenhua Huang, Jianping Gou, Lan Du, ... Yunwen Chen

Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks
Guobin Shen, Dongcheng Zhao, Yi Zeng

Unsupervised image enhancement under non-uniform illumination based on paired CNNs
Feng Lin, Huaqing Zhang, Jian Wang, Jun Wang

Grounding spatial relations in text-only language models
Gorka Azkune, Ander Salaberria, Eneko Agirre

A versatile Wavelet-Enhanced CNN-Transformer for improved fluorescence microscopy image restoration
Qinghua Wang, Ziwei Li, Shuqi Zhang, Nan Chi, Qionghai Dai

Human-Object Interaction detection via Global Context and Pairwise-level Fusion Features Integration
Haozhong Wang, Hua Yu, Qiang Zhang

Multi-Adaptive Optimization for multi-task learning with deep neural networks
Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega

MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
Xinyu Fu, Irwin King

Powerful-IoU: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism
Can Liu, Kaige Wang, Qing Li, Fazhan Zhao, ... Hongtu Ma

CT-Net: Asymmetric compound branch Transformer for medical image segmentation
Ning Zhang, Long Yu, Dezhi Zhang, Weidong Wu, ... Min Li

A start-stop points CenterNet for wideband signals detection and time-frequency localization in spectrum sensing
Teng Cheng, Lei Sun, Junning Zhang, Jinling Wang, Zhanyang Wei

Hierarchical attention network with progressive feature fusion for facial expression recognition
Huanjie Tao, Qianyue Duan

Star algorithm for neural network ensembling
Sergey Zinchenko, Dmitrii Lishudi

Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks
Victor R. Barradas, Yasuharu Koike, Nicolas Schweighofer

Boundary uncertainty aware network for automated polyp segmentation
Guanghui Yue, Guibin Zhuo, Weiqing Yan, Tianwei Zhou, ... Tianfu Wang

Learning deep representation and discriminative features for clustering of multi-layer networks
Wenming Wu, Xiaoke Ma, Quan Wang, Maoguo Gong, Quanxue Gao

Boosting semi-supervised learning with Contrastive Complementary Labeling
Qinyi Deng, Yong Guo, Zhibang Yang, Haolin Pan, Jian Chen

Graph embedding-based heterogeneous domain adaptation with domain-invariant feature learning and distributional order preserving
Wenxu Wang, Zhenbo Li, Weiran Li

Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features
Tongfeng Sun, Xiurui Wang, Zhongnian Li, Shifei Ding

Combining external-latent attention for medical image segmentation
Enmin Song, Bangcheng Zhan, Hong Liu

A filter-augmented auto-encoder with learnable normalization for robust multivariate time series anomaly detection
Jiahao Yu, Xin Gao, Baofeng Li, Feng Zhai, ... Chun Xiao

UTDNet: A unified triplet decoder network for multimodal salient object detection
Fushuo Huo, Ziming Liu, Jingcai Guo, Wenchao Xu, Song Guo

SVD-AE: An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection
Yueyue Yao, Jianghong Ma, Shanshan Feng, Yunming Ye

Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning
Chenxin Xu, Yuxi Wei, Bohan Tang, Sheng Yin, ... Yanfeng Wang

Dynamic learning from adaptive neural control for full-state constrained strict-feedback nonlinear systems
Qinchen Yang, Fukai Zhang, Qinghua Sun, Cong Wang

An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control
Delin Guo, Lan Tang, Xinggan Zhang, Ying-chang Liang

CVANet: Cascaded visual attention network for single image super-resolution
Weidong Zhang, Wenyi Zhao, Jia Li, Peixian Zhuang, ... Chongyi Li

OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
Chu Myaet Thwal, Minh N.H. Nguyen, Ye Lin Tun, Seong Tae Kim, ... Choong Seon Hong

Event-triggered impulsive cluster synchronization of coupled reaction-diffusion neural networks and its application to image encryption
Minghao Hui, Xiaoyang Liu, Song Zhu, Jinde Cao

Mean square exponential stabilization analysis of stochastic neural networks with saturated impulsive input
Hao Deng, Chuandong Li, Fei Chang, Yinuo Wang

Markov chain stochastic DCA and applications in deep learning with PDEs regularization
Hoang Phuc Hau Luu, Hoai Minh Le, Hoai An Le Thi

A novel fixed-time error-monitoring neural network for solving dynamic quaternion-valued Sylvester equations
Lin Xiao, Penglin Cao, Zidong Wang, Sai Liu

Sampled-data controller scheme for multi-agent systems and its Application to circuit network
A. Stephen, R. Karthikeyan, C. Sowmiya, R. Raja, Ravi P. Agarwal

A comparative analysis of multi-biometrics performance in human and action recognition using silhouette thermal-face and skeletal data
Onur Can Kurban, Tülay Yildirim

Genetic high-gain controller to improve the position perturbation attenuation and compact high-gain controller to improve the velocity perturbation attenuation in inverted pendulums
José de Jesús Rubio, Mario Alberto Hernandez, Francisco Javier Rosas, Eduardo Orozco, ... Jaime Pacheco

SLAPP: Subgraph-level attention-based performance prediction for deep learning models
Zhenyi Wang, Pengfei Yang, Linwei Hu, Bowen Zhang, ... Quan Wang

LDCNet: Lightweight dynamic convolution network for laparoscopic procedures image segmentation
Yiyang Yin, Shuangling Luo, Jun Zhou, Liang Kang, Calvin Yu-Chian Chen

IoUformer: Pseudo-IoU prediction with transformer for visual tracking
Huayue Cai, Long Lan, Jing Zhang, Xiang Zhang, ... Zhigang Luo

Foreground segmentation network using transposed convolutional neural networks and up sampling for multiscale feature encoding
Vishruth B. Gowda, M.T. Gopalakrishna, J. Megha, Shilpa Mohankumar

Deep Kernel Principal Component Analysis for multi-level feature learning
Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A.K. Suykens



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