Neural Networks

Article	Citations
DMPP: Differentiable multi-pruner and predictor for neural network pruning	342
Salience Interest Option: Temporal abstraction with salience interest functions	258
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings	258
Editorial Board	257
Learning dynamic graph representations through timespan view contrasts	246
Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild	161
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG	151
Backdoor attacks on unsupervised graph representation learning	146
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals	144
Learning shared template representation with augmented feature for multi-object pose estimation	137
Neural operators for robust output regulation of hyperbolic PDEs	107
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach	107
Towards global neural network abstractions with locally-exact reconstruction	102
Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction	102
Graph convolutional network with tree-guided anisotropic message passing	97
Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks	96
3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision	92
Predictive accuracy of CNN for cortical oscillatory activity in an acute rat model of parkinsonism	92
Reinforced mixture learning	91
A fast saddle-point dynamical system approach to robust deep learning	89
Editorial Board	88
NN/ENNS/JNNS - Membership Applic. Form	83
An efficient encoder–decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data	83
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation	82
Flexibly regularized mixture models and application to image segmentation	80

GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics	80
Event-triggered H∞	80
Deep graph representation learning for influence maximization with accelerated inference	80
DPGCL: Dual pass filtering based graph contrastive learning	78
Editorial Board	77
CURRENT EVENTS	76
Graph anomaly detection based on hybrid node representation learning	75
Nonlinear feature selection for support vector quantile regression	73
Enhancing space–time video super-resolution via spatial–temporal feature interaction	72
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning	71
H∞	70
Deep semi-supervised learning via dynamic anchor graph embedding in latent space	70
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment	67
A CNN model embedded with local feature knowledge and its application to time-varying signal classification	67
Boosting adversarial robustness via self-paced adversarial training	67
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule	66
Explainable hybrid word representations for sentiment analysis of financial news	66
Extracting and inserting knowledge into stacked denoising auto-encoders	65
Dynamic planning in hierarchical active inference	65
RASP: Regularization-based Amplitude Saliency Pruning	64
RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation	64
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber–physical systems under deception attacks	63
Spatial–temporal recurrent reinforcement learning for autonomous ships	62
Partial label learning: Taxonomy, analysis and outlook	62
Sign potential-driven multiplicative optimization for robust deep reinforcement learning	62
Oblique and rotation double random forest	61
SNR: Symbolic network-based rectifiable learning framework for symbolic regression	60
Learning to reweight examples in multi-label classification	60
On the Kolmogorov neural networks	58
Adams-based hierarchical features fusion network for image dehazing	58
ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal	58
Attention-based random forest and contamination model	57
A survey on modern trainable activation functions	57
Early stopping by correlating online indicators in neural networks	56
UTRAD: Anomaly detection and localization with U-Transformer	56
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor	56
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization	55
Continual learning with Bayesian compression for shared and private latent representations	55
Pinning multisynchronization of delayed fractional-order memristor-based neural networks with nonlinear coupling and almost-periodic perturbations	55
Fixed/Preassigned-time synchronization of quaternion-valued neural networks via pure power-law control	55
CURRENT EVENTS	55
Synchronization in finite time for variable-order fractional complex dynamic networks with multi-weights and discontinuous nodes based on sliding mode control strategy	53
Distributional generative adversarial imitation learning with reproducing kernel generalization	53
Mask-Shift-Inference: A novel paradigm for domain generalization	53
Simultaneous neural network approximation for smooth functions	53
Mittag-Leffler stability of fractional-order quaternion-valued memristive neural networks with generalized piecewise constant argument	52
Understanding and mitigating noise in trained deep neural networks	52
Quantization-aware training for low precision photonic neural networks	52
2DHeadPose: A simple and effective annotation method for the head pose in RGB images and its dataset	52
Quality-diversity based semi-autonomous teleoperation using reinforcement learning	52

INN/ENNS/JNNS - Membership Applic. Form	51
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition	51
Heterophilous distribution propagation for Graph Neural Networks	51
On the capacity of deep generative networks for approximating distributions	51
Brain-inspired chaotic backpropagation for MLP	50
Illumination-aware divide-and-conquer network for improperly-exposed image enhancement	50
Combining STDP and binary networks for reinforcement learning from images and sparse rewards	49
Convolutional fusion network for monaural speech enhancement	49
A neuralized feature engineering method for entity relation extraction	49
On the characterization of cognitive tasks using activity-specific short-lived synchronization between electroencephalography channels	49
Inter-participant transfer learning with attention based domain adversarial training for P300 detection	49
Unsupervised multi-sense language models for natural language processing tasks	49
ComCo: Complementary supervised contrastive learning for complementary label learning	49
Editorial Board	48
A framework for controllable Pareto front learning with completed scalarization functions and its applications	48
Current Events	48
Current Events	47
INN/ENNS/JNNS - Membership Applic. Form	47
Modeling learnable electrical synapse for high precision spatio-temporal recognition	47
Editorial Board	47
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion	46
Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment	46
G2BFNN: Genera	46
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers	46
UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network	46
HirMTL: Hierarchical Multi-Task Learning for dense scene understanding	46
Impact of axonal delay on structure development in a multi-layered network	45
Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding	45
Capped L2,<	45
INN/ENNS/JNNS - Membership Applic. Form	45
Basic theorem and global exponential stability of differential–algebraic neural networks with delay	45
Backpropagation Neural Tree	45
Understanding the message passing in graph neural networks via power iteration clustering	44
A novel two-layer fuzzy neural network for solving inequality-constrained	44
Long-range zero-shot generative deep network quantization	44
Information theory-guided heuristic progressive multi-view coding	44
Joint weight optimization for partial domain adaptation via kernel statistical distance estimation	44
Set stabilization of logical control networks: A minimum node control approach	44
An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control	44
Self-adaptive label discovery and multi-view fusion for complementary label learning	43
Enriching query semantics for code search with reinforcement learning	43
Towards understanding theoretical advantages of complex-reaction networks	42
Return of the normal distribution: Flexible deep continual learning with variational auto-encoders	42
Possibilistic classification by support vector networks	41
Fixed-time synchronization of delayed memristive neural networks with impulsive effects via novel fixed-time stability theorem	41
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection	41
Neural network surgery: Combining training with topology optimization	41
Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis	41
Modeling limit order trading with a continuous action policy for deep reinforcement learning	41
Towards a unified framework for graph-based multi-view clustering	40
Energy controls wave propagation in a neural network with spatial stimuli	40
A survey on few-shot class-incremental learning	40
Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks	39
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots	39
psoResNet: An improved PSO-based residual network search algorithm	39
Cosine convolutional neural network and its application for seizure detection	39
Self-guided disentangled representation learning for single image dehazing	38
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks	38
Medical image segmentation network based on multi-scale frequency domain filter	38
An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment	38
CT-Net: Asymmetric compound branch Transformer for medical image segmentation	38
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks	38
Effects of impulse on prescribed-time synchronization of switching complex networks	38
Multi-scale graph harmonies: Unleashing U-Net’s potential for medical image segmentation through contrastive learning	38
A general framework for robust stability analysis of neural networks with discrete time delays	38
LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning	37
Complete synchronization of discrete-time fractional-order BAM neural networks with leakage and discrete delays	37
Distributed adaptive robust containment control for reaction–diffusion neural networks with external disturbances under directed graphs	37
Recurrent neural network pruning using dynamical systems and iterative fine-tuning	37
TFRS: A task-level feature rectification and separation method for few-shot video action recognition	37
Revisiting graph neural networks from hybrid regularized graph signal reconstruction	37
Stochastic configuration network ensembles with selective base models	37
Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication	37
FastTalker: A neural text-to-speech architecture with shallow and group autoregression	37
An event-triggered collaborative neurodynamic approach to distributed global optimization	37
Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction–diffusion terms	37
Continual learning with attentive recurrent neural networks for temporal data classification	36
A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks	36
ProMask: Probability mask representation for skeleton detection	36
TF-BERT: Tensor-based fusion BERT for multimodal sentiment analysis	36

Detecting slender objects with uncertainty based on keypoint-displacement representation	36
A new pipeline with ultimate search efficiency for neural architecture search	35
Sequential safe static and dynamic screening rule for accelerating support tensor machine	35
Contrastive learning of graphs under label noise	35
Efficient learning rate adaptation based on hierarchical optimization approach	35
SCMEA: A stacked co-enhanced model for entity alignment based on multi-aspect information fusion and bidirectional contrastive learning	35
M2	35
Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning	35
Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering	35
SCADA securing system using deep learning to prevent cyber infiltration	35
Unsupervised domain adaptive building semantic segmentation network by edge-enhanced contrastive learning	34
FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning	34
Self-balancing Incremental Broad Learning System with privacy protection	34
Bifurcations of a delayed fractional-order BAM neural network via new parameter perturbations	34
ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints	33
Structured Ensembles: An approach to reduce the memory footprint of ensemble methods	33
Simignore: Exploring and enhancing multimodal large model complex reasoning via similarity computation	33
Event-centric multi-modal fusion method for dense video captioning	33
Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models	33
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks	32
A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency	32
Temporal multi-modal knowledge graph generation for link prediction	32
Meta attention for Off-Policy Actor-Critic	32
INN/ENNS/JNNS - Membership Applic. Form	32
Editorial Board	32
INN/ENNS/JNNS - Membership Applic. Form	32
Corrigendum to “Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data” [Neural Networks 163 (2023) 272–285]	32
Deep one-class probability learning for end-to-end image classification	32
Combining various training and adaptation algorithms for ensemble few-shot classification	32
Functional loops: Monitoring functional organization of deep neural networks using algebraic topology	31
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index	31
A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem	31
Generation, division and training: A promising method for source-free unsupervised domain adaptation	31
Bio-inspired two-stage network for efficient RGB-D salient object detection	31
EMAT: Efficient feature fusion network for visual tracking via optimized multi-head attention	31
Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings	31
Sparse factorization of square matrices with application to neural attention modeling	30
Credit assignment with predictive contribution measurement in multi-agent reinforcement learning	30
UMS2-ODNet: Un	30
Informative pairs mining based adaptive metric learning for adversarial domain adaptation	30
Iterative neural networks for improving memory capacity	30
Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors	30
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning	30
Online continual decoding of streaming EEG signal with a balanced and informative memory buffer	29
Joint learning of feature and topology for multi-view graph convolutional network	29
Deep brain stimulation and lag synchronization in a memristive two-neuron network	29
Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design	29
Domain-informed graph neural networks: A quantum chemistry case study	29
INN/ENNS/JNNS - Membership Applic. Form	29
Combining external-latent attention for medical image segmentation	29
Event-triggered impulsive cluster synchronization of coupled reaction–diffusion neural networks and its application to image encryption	29
DCDLN: A densely connected convolutional dynamic learning network for malaria disease diagnosis	29
Causal Disentanglement Domain Generalization for time-series signal fault diagnosis	29
Adaptive pinning cluster synchronization of a stochastic reaction–diffusion complex network	29
Graph Neural Network contextual embedding for Deep Learning on tabular data	29
Neural Networks Referees in 2024	29
Stability and passivity analysis of delayed neural networks via an improved matrix-valued polynomial inequality	29
ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation	29
Understanding the role of pathways in a deep neural network	29
A novel semi-supervised meta learning method for subject-transfer brain–computer interface	29
Evolutionary architecture search for generative adversarial networks using an aging mechanism-based strategy	29
Editorial Board	28
Dual-stage feedback network for lightweight color image compression artifact reduction	28
Integral representations of shallow neural network with rectified power unit activation function	28
INN/ENNS/JNNS - Membership Applic. Form	28
Neurodynamics-driven portfolio optimization with targeted performance criteria	28
Editorial Board	28
Learning a discriminative SPD manifold neural network for image set classification	28
LCFFNet: A Lightweight Cross-scale Feature Fusion Network for human pose estimation	28
Endpoint-aware audio-visual speech enhancement utilizing dynamic weight modulation based on SNR estimation	27
Decoupling visual and identity features for adversarial palm-vein image attack	27
Multi-level feature fusion and joint refinement for simultaneous object pose estimation and camera localization	27
Feature flow regularization: Improving structured sparsity in deep neural networks	27
Unifying emotion-oriented and cause-oriented predictions for emotion-cause pair extraction	27
Video summarization for event-centric videos	27
Learning feature relationships in CNN model via relational embedding convolution layer	27
Deep learning in random neural fields: Numerical experiments via neural tangent kernel	27
Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning	27
Reducing bias to source samples for unsupervised domain adaptation	27
H∞	27
Federated learning meets Bayesian neural network: Robust and uncertainty-aware distributed variational inference	27
A multiscale distributed neural computing model database (NCMD) for neuromorphic architecture	27
Enabling deformation slack in tracking with temporally even correlation filters	27
Uncertainty-aware hierarchical segment-channel attention mechanism for reliable and interpretable multichannel signal classification	27
Salient object detection in low-light RGB-T scene via spatial-frequency cues mining	27
A novel density-based neural mass model for simulating neuronal network dynamics with conductance-based synapses and membrane current adaptation	26
Cluster synchronization of fractional-order two-layer networks and application in image encryption/decryption	26
Wasserstein task embedding for measuring task similarities	26
Uncertainty-aware prototypical learning for anomaly detection in medical images	26
On the value of label and semantic information in domain generalization	26
Deep learning based spectral CT imaging	26
Aggregating intrinsic information to enhance BCI performance through federated learning	26
User preference interaction fusion and swap attention graph neural network for recommender system	26
Asymmetric double networks mutual teaching for unsupervised person Re-identification	26
An effective knowledge graph entity alignment model based on multiple information	26