Neural Networks

Papers
(The TQCC of Neural Networks is 12. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Editorial Board351
Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild269
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG267
Backdoor attacks on unsupervised graph representation learning265
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals256
Towards global neural network abstractions with locally-exact reconstruction171
Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction158
Graph convolutional network with tree-guided anisotropic message passing156
Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks149
Predictive accuracy of CNN for cortical oscillatory activity in an acute rat model of parkinsonism140
Reinforced mixture learning108
Editorial Board107
A fast saddle-point dynamical system approach to robust deep learning107
Editorial Board102
NN/ENNS/JNNS - Membership Applic. Form102
Distributed multi-timescale algorithm for nonconvex optimization problem: A control perspective99
Enhancing space–time video super-resolution via spatial–temporal feature interaction98
Deep semi-supervised learning via dynamic anchor graph embedding in latent space93
Learning to reweight examples in multi-label classification92
RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation92
SNR: Symbolic network-based rectifiable learning framework for symbolic regression90
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment88
A CNN model embedded with local feature knowledge and its application to time-varying signal classification88
Oblique and rotation double random forest85
Nonlinear feature selection for support vector quantile regression85
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach83
CURRENT EVENTS81
Neural operators for robust output regulation of hyperbolic PDEs81
Partial label learning: Taxonomy, analysis and outlook79
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics77
Spatial–temporal recurrent reinforcement learning for autonomous ships77
Deep graph representation learning for influence maximization with accelerated inference77
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation75
Salience Interest Option: Temporal abstraction with salience interest functions74
Learning dynamic graph representations through timespan view contrasts73
DPGCL: Dual pass filtering based graph contrastive learning72
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings71
DMPP: Differentiable multi-pruner and predictor for neural network pruning70
Learning shared template representation with augmented feature for multi-object pose estimation69
Graph anomaly detection based on hybrid node representation learning69
H69
On the Kolmogorov neural networks67
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule67
UTRAD: Anomaly detection and localization with U-Transformer66
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor66
Adams-based hierarchical features fusion network for image dehazing66
Boosting adversarial robustness via self-paced adversarial training65
An efficient encoder–decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data63
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber–physical systems under deception attacks63
ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal62
Fixed/Preassigned-time synchronization of quaternion-valued neural networks via pure power-law control62
Event-triggered H61
3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision61
Early stopping by correlating online indicators in neural networks61
RASP: Regularization-based Amplitude Saliency Pruning60
Explainable hybrid word representations for sentiment analysis of financial news59
Attention-based random forest and contamination model58
A survey on modern trainable activation functions57
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning57
CURRENT EVENTS57
Dynamic planning in hierarchical active inference57
Flexibly regularized mixture models and application to image segmentation57
Inter-participant transfer learning with attention based domain adversarial training for P300 detection56
Quality-diversity based semi-autonomous teleoperation using reinforcement learning56
INN/ENNS/JNNS - Membership Applic. Form56
Combining STDP and binary networks for reinforcement learning from images and sparse rewards56
Heterophilous distribution propagation for Graph Neural Networks56
ComCo: Complementary supervised contrastive learning for complementary label learning55
Synchronization in finite time for variable-order fractional complex dynamic networks with multi-weights and discontinuous nodes based on sliding mode control strategy54
A novel two-layer fuzzy neural network for solving inequality-constrained 54
On the characterization of cognitive tasks using activity-specific short-lived synchronization between electroencephalography channels54
Unsupervised multi-sense language models for natural language processing tasks54
Fixed-time synchronization of delayed memristive neural networks with impulsive effects via novel fixed-time stability theorem54
Editorial Board53
Information theory-guided heuristic progressive multi-view coding53
Current Events53
Editorial Board52
INN/ENNS/JNNS - Membership Applic. Form52
Current Events51
Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding51
Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment51
HirMTL: Hierarchical Multi-Task Learning for dense scene understanding51
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion51
INN/ENNS/JNNS - Membership Applic. Form51
Basic theorem and global exponential stability of differential–algebraic neural networks with delay50
Impact of axonal delay on structure development in a multi-layered network50
Joint weight optimization for partial domain adaptation via kernel statistical distance estimation50
Self-adaptive label discovery and multi-view fusion for complementary label learning49
Set stabilization of logical control networks: A minimum node control approach49
Enriching query semantics for code search with reinforcement learning49
Understanding the message passing in graph neural networks via power iteration clustering49
Long-range zero-shot generative deep network quantization48
Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis48
Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks48
Return of the normal distribution: Flexible deep continual learning with variational auto-encoders48
Effects of impulse on prescribed-time synchronization of switching complex networks48
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection48
Towards understanding theoretical advantages of complex-reaction networks48
Distributional generative adversarial imitation learning with reproducing kernel generalization47
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers47
Illumination-aware divide-and-conquer network for improperly-exposed image enhancement47
2DHeadPose: A simple and effective annotation method for the head pose in RGB images and its dataset46
Convolutional fusion network for monaural speech enhancement46
G2BFNN: Genera46
UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network46
Modeling limit order trading with a continuous action policy for deep reinforcement learning46
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization46
Understanding and mitigating noise in trained deep neural networks46
Pinning multisynchronization of delayed fractional-order memristor-based neural networks with nonlinear coupling and almost-periodic perturbations45
Simultaneous neural network approximation for smooth functions45
Backpropagation Neural Tree45
Neural network surgery: Combining training with topology optimization44
Modeling learnable electrical synapse for high precision spatio-temporal recognition44
Energy controls wave propagation in a neural network with spatial stimuli44
On the capacity of deep generative networks for approximating distributions44
An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment43
Mittag-Leffler stability of fractional-order quaternion-valued memristive neural networks with generalized piecewise constant argument43
Quantization-aware training for low precision photonic neural networks43
A neuralized feature engineering method for entity relation extraction43
A general framework for robust stability analysis of neural networks with discrete time delays42
psoResNet: An improved PSO-based residual network search algorithm42
Mask-Shift-Inference: A novel paradigm for domain generalization42
Brain-inspired chaotic backpropagation for MLP42
A framework for controllable Pareto front learning with completed scalarization functions and its applications42
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition41
A survey on few-shot class-incremental learning41
Self-guided disentangled representation learning for single image dehazing41
Medical image segmentation network based on multi-scale frequency domain filter40
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks40
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots40
CT-Net: Asymmetric compound branch Transformer for medical image segmentation40
Cosine convolutional neural network and its application for seizure detection39
Multi-scale graph harmonies: Unleashing U-Net’s potential for medical image segmentation through contrastive learning39
Capped L2,<39
Continual learning with Bayesian compression for shared and private latent representations39
Possibilistic classification by support vector networks39
An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control39
Towards a unified framework for graph-based multi-view clustering39
Event-centric multi-modal fusion method for dense video captioning38
Revisiting graph neural networks from hybrid regularized graph signal reconstruction38
ProMask: Probability mask representation for skeleton detection38
Stability and passivity analysis of delayed neural networks via an improved matrix-valued polynomial inequality38
Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction–diffusion terms38
Simignore: Exploring and enhancing multimodal large model complex reasoning via similarity computation38
FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning38
Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication38
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks38
Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning37
Combining various training and adaptation algorithms for ensemble few-shot classification37
INN/ENNS/JNNS - Membership Applic. Form37
Recurrent neural network pruning using dynamical systems and iterative fine-tuning37
Temporal multi-modal knowledge graph generation for link prediction37
Complete synchronization of discrete-time fractional-order BAM neural networks with leakage and discrete delays37
A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency37
ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints37
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index37
LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning37
Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings36
INN/ENNS/JNNS - Membership Applic. Form36
Corrigendum to “Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data” [Neural Networks 163 (2023) 272–285]36
Generation, division and training: A promising method for source-free unsupervised domain adaptation36
Editorial Board36
Sparse factorization of square matrices with application to neural attention modeling35
CNN-Transformer and Channel-Spatial Attention based network for hyperspectral image classification with few samples35
Iterative neural networks for improving memory capacity35
Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors35
Functional loops: Monitoring functional organization of deep neural networks using algebraic topology35
Credit assignment with predictive contribution measurement in multi-agent reinforcement learning35
Informative pairs mining based adaptive metric learning for adversarial domain adaptation34
UMS2-ODNet: Un34
Neural Networks Referees in 202434
Bio-inspired two-stage network for efficient RGB-D salient object detection34
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning34
Online continual decoding of streaming EEG signal with a balanced and informative memory buffer34
Deep one-class probability learning for end-to-end image classification34
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control34
FastTalker: A neural text-to-speech architecture with shallow and group autoregression33
A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem33
Detecting slender objects with uncertainty based on keypoint-displacement representation33
A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks33
Contrastive learning of graphs under label noise33
Meta attention for Off-Policy Actor-Critic33
An event-triggered collaborative neurodynamic approach to distributed global optimization32
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks32
Event-triggered impulsive cluster synchronization of coupled reaction–diffusion neural networks and its application to image encryption32
Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models32
Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering32
Combining external-latent attention for medical image segmentation32
ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation31
A new pipeline with ultimate search efficiency for neural architecture search31
Sequential safe static and dynamic screening rule for accelerating support tensor machine31
SCMEA: A stacked co-enhanced model for entity alignment based on multi-aspect information fusion and bidirectional contrastive learning31
M231
Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design31
Bifurcations of a delayed fractional-order BAM neural network via new parameter perturbations31
Self-balancing Incremental Broad Learning System with privacy protection31
TF-BERT: Tensor-based fusion BERT for multimodal sentiment analysis31
Structured Ensembles: An approach to reduce the memory footprint of ensemble methods31
Deep brain stimulation and lag synchronization in a memristive two-neuron network31
Joint learning of feature and topology for multi-view graph convolutional network31
Unsupervised domain adaptive building semantic segmentation network by edge-enhanced contrastive learning31
Integral representations of shallow neural network with rectified power unit activation function30
Graph Neural Network contextual embedding for Deep Learning on tabular data30
SCADA securing system using deep learning to prevent cyber infiltration30
Efficient learning rate adaptation based on hierarchical optimization approach30
DCDLN: A densely connected convolutional dynamic learning network for malaria disease diagnosis30
INN/ENNS/JNNS - Membership Applic. Form30
Editorial Board30
A novel semi-supervised meta learning method for subject-transfer brain–computer interface30
Continual learning with attentive recurrent neural networks for temporal data classification30
EMAT: Efficient feature fusion network for visual tracking via optimized multi-head attention30
LCFFNet: A Lightweight Cross-scale Feature Fusion Network for human pose estimation30
INN/ENNS/JNNS - Membership Applic. Form30
Distributed adaptive robust containment control for reaction–diffusion neural networks with external disturbances under directed graphs30
Causal Disentanglement Domain Generalization for time-series signal fault diagnosis30
TFRS: A task-level feature rectification and separation method for few-shot video action recognition30
Editorial Board29
Decoupling visual and identity features for adversarial palm-vein image attack29
Uncertainty-aware hierarchical segment-channel attention mechanism for reliable and interpretable multichannel signal classification29
Revisiting the fragility of influence functions29
Cross-modality interaction for few-shot multispectral object detection with semantic knowledge29
Dual-stage feedback network for lightweight color image compression artifact reduction29
Deep learning in random neural fields: Numerical experiments via neural tangent kernel29
Feature flow regularization: Improving structured sparsity in deep neural networks29
Cluster synchronization of fractional-order two-layer networks and application in image encryption/decryption29
A statistical framework for non-negative matrix factorization based on generalized dual divergence29
A multiscale distributed neural computing model database (NCMD) for neuromorphic architecture29
Enabling deformation slack in tracking with temporally even correlation filters29
User preference interaction fusion and swap attention graph neural network for recommender system29
Generative Adversarial Network with Multi-branch Discriminator for imbalanced cross-species image-to-image translation29
Distance metric learning based on the class center and nearest neighbor relationship29
Endpoint-aware audio-visual speech enhancement utilizing dynamic weight modulation based on SNR estimation28
Stochastic momentum methods for non-convex learning without bounded assumptions28
Salient object detection in low-light RGB-T scene via spatial-frequency cues mining28
A novel density-based neural mass model for simulating neuronal network dynamics with conductance-based synapses and membrane current adaptation28
H28
Federated learning meets Bayesian neural network: Robust and uncertainty-aware distributed variational inference28
SVD-AE: An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection28
Video summarization for event-centric videos28
Domain-informed graph neural networks: A quantum chemistry case study27
Unifying emotion-oriented and cause-oriented predictions for emotion-cause pair extraction27
SCL: Self-supervised contrastive learning for few-shot image classification27
Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision27
Dynamic graph consistency and self-contrast learning for semi-supervised medical image segmentation27
Multi-level feature fusion and joint refinement for simultaneous object pose estimation and camera localization27
Aggregating intrinsic information to enhance BCI performance through federated learning27
Learning feature relationships in CNN model via relational embedding convolution layer27
Learning a discriminative SPD manifold neural network for image set classification27
Toward a cerebello-thalamo-cortical computational model of spinocerebellar ataxia27
Understanding the role of pathways in a deep neural network27
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