yusuke1997/dblp-id-title huggingface dataset:
Granular self-organizing map (grSOM) for structure identification
Sliding mode control of neural networks via continuous or periodic sampling event-triggering algorithm
On the systematic development of fast fuzzy vector quantization for grayscale image compression
Brain MRI analysis using a deep learning based evolutionary approach
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings
State-space models are accurate and efficient neural operators for dynamical systems
Dynamic topology representing networks
Deployable mixed-precision quantization with co-learning and one-time search
YOLOv8-G2F: A portable gesture recognition optimization algorithm
Heterogeneous coexisting attractors, large-scale amplitude control and finite-time synchronization of central cyclic memristive neural networks
Unified stabilization approach to principal and minor components extraction algorithms
Mittag-Leffler synchronization of fractional neural networks with time-varying delays and reaction-diffusion terms using impulsive and linear controllers
Sparse signal reconstruction via collaborative neurodynamic optimization
Information complexity of neural networks
Automatic early stopping using cross validation: quantifying the criteria
Networks of anatomical areas controlling visuospatial attention
X-UNet:A novel global context-aware collaborative fusion U-shaped network with progressive feature fusion of codec for medical image segmentation
UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection
A prompt-aware knowledge-tuning framework for histopathology subtype classification with scarce annotation
Using recurrent neural networks to learn the structure of interconnection networks
EHM: Exploring dynamic alignment and hierarchical clustering in unsupervised domain adaptation via high-order moment-guided contrastive learning
Paying more attention on backgrounds: Background-centric attention for UAV detection
Stacked generalization
A neural model of cortico-cerebellar interactions during attentive imitation and predictive learning of sequential handwriting movements
Highly valued subgoal generation for efficient goal-conditioned reinforcement learning
Spiking-PhysFormer: Camera-based remote photoplethysmography with parallel spike-driven transformer
Cortical-subcortical neural networks for motor learning and storing sequence memory
Optimistic reinforcement learning by forward Kullback-Leibler divergence optimization
A functional iterative approach for twin bounded support vector machine with squared pinball loss (Spin-FITBSVM)
Understanding neurodynamical systems via Fuzzy Symbolic Dynamics
Arm-use dependent lateralization of gamma and beta oscillations in primate medial motor areas
Many regression algorithms, one unified model: A review
On the effective initialisation for restricted Boltzmann machines via duality with Hopfield model
A novel two-layer fuzzy neural network for solving inequality-constrained ℓ1-minimization problem with applications
Resonate-and-fire neurons
Modeling and formulating fuzzy knowledge bases using neural networks
Highly parallelized memristive binary neural network
An octonion-based nonlinear echo state network for speech emotion recognition in Metaverse
OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training
Exponential stabilization of delayed recurrent neural networks: A state estimation based approach
Deep-gKnock: Nonlinear group-feature selection with deep neural networks
Uniform Approximation and Gamma Networks
Silicon models of associative learning in Aplysia
Approximation rates for neural networks with encodable weights in smoothness spaces
Beyond Homophily: Class imbalance graph classification via Rewiring Graph of Graphs
Spatiotemporal patterns of current source density in the prefrontal cortex of a behaving monkey
Dynamic event-triggered controller design for nonlinear systems: Reinforcement learning strategy
Towards improving fast adversarial training in multi-exit network
Neural networks & tactile imaging
Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world
Two-hidden-layer feed-forward networks are universal approximators: A constructive approach
Multiple graphs learning with a new weighted tensor nuclear norm
Efficiently updating and tracking the dominant kernel principal components
Multiband task related components enhance rapid cognition decoding for both small and similar objects
AMPL: An adaptive meta-prompt learner for few-shot image classification
MIGP: Metapath Integrated Graph Prompt Neural Network
A novel garment transfer method supervised by distilled knowledge of virtual try-on model
A Hopfield Neural Network for combining classifiers applied to textured images
2D Time-varying functional modeling framework for multi-scale solar irradiance forecasting
A multiscale distributed neural computing model database (NCMD) for neuromorphic architecture
On comparing neural net training paradigms via graded pattern recognition tasks
Shape representation by a network of V4-like cells
Convergence analysis of an augmented algorithm for fully complex-valued neural networks
Preassigned-time projective synchronization of delayed fully quaternion-valued discontinuous neural networks with parameter uncertainties
Combining evolution with credit apportionment: A new learning algorithm for neural nets
ACformer: A unified transformer for arbitrary-frame image exposure correction
Expansion of the editorial team
Semantic Mask Reconstruction and Category Semantic Learning for few-shot image generation
Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence
Brain electroencephalographic segregation as a biomarker of learning
Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of generalized type
Deep belief Markov models for POMDP inference
Online continual decoding of streaming EEG signal with a balanced and informative memory buffer
Cross-modal and scale-free action representations through enaction
Prospective classification of Alzheimer's disease conversion from mild cognitive impairment
Multi-view spectral clustering algorithm based on bipartite graph and multi-feature similarity fusion
Quasi-projective synchronization of fractional-order complex-valued recurrent neural networks
Development in a biologically inspired spinal neural network for movement control
OS-SSVEP: One-shot SSVEP classification
Dual channel and dual feedback loop self-learning memristive neural network circuit and its application
An incomplete multiview clustering approach considering missing data recovery based on consistency
Passivity and stability analysis of neural networks with time-varying delays via extended free-weighting matrices integral inequality
Constructing a generalizer superior to NETtalk via a mathematical theory of generalization
Energy-based diffusion generator for efficient sampling of Boltzmann distributions
Biomimetic FPGA-based spatial navigation model with grid cells and place cells
Tensor network decomposition for data recovery: Recent advancements and future prospects
A New Neural Model for Invariant Pattern Recognition
Dynamical systems and cognitive linguistics: toward an active morphodynamical semantics
Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling
Convergence of deep convolutional neural networks
Error estimation in the neural network solution of ordinary differential equations
Integral reinforcement learning based event-triggered control with input saturation
A divide-and-combine method for large scale nonparallel support vector machines
Announcement of the Neural Networks Best Paper Award
A model for navigation in unknown environments based on a reservoir of hippocampal sequences
Standard representation and unified stability analysis for dynamic artificial neural network models
Neocognitron: A hierarchical neural network capable of visual pattern recognition
Text compression via alphabet re-representation
Discretely-constrained deep network for weakly supervised segmentation
DTGBA: A stronger graph backdoor attack with dual triggers
Enhancing urban flow prediction via mutual reinforcement with multi-scale regional information
Contrastive learning unlocks geometric insights for dataset pruning
Command-filter-based adaptive neural tracking control for a class of nonlinear MIMO state-constrained systems with input delay and saturation
Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution
A hybrid random field model for scalable statistical learning
Riemannian manifold-based disentangled representation learning for multi-site functional connectivity analysis
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment
A Competitive Layer Model for Cellular Neural Networks
Cluster network for recognition of handwritten, cursive script characters
ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases
Interactive image-to-video transfer learning
Dimension independent bounds for general shallow networks
Global exponential stability of inertial memristor-based neural networks with time-varying delays and impulses
A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks
Online dimensionality reduction using competitive learning and Radial Basis Function network
Bayesian deep matrix factorization network for multiple images denoising
Cortical computational maps for auditory imaging
Guiding exploration by pre-existing knowledge without modifying reward
Spectral integrated neural networks (SINNs) for solving forward and inverse dynamic problems
EMAT: Efficient feature fusion network for visual tracking via optimized multi-head attention
Textual emotion classification using MPNet and cascading broad learning
A novel type of activation function in artificial neural networks: Trained activation function
Threshold disorder as a source of diverse and complex behavior in random nets
Bidirectionally self-normalizing neural networks
Universality of gradient descent neural network training
Reinforcement learning and its connections with neuroscience and psychology
Reducing ambient noise diffusion model for underwater acoustic target
Event-triggered ADP-based tracking controller for partially unknown nonlinear uncertain systems with input and state constraints
Three-dimensional visual feature representation in the primary visual cortex
Counting with ease: Class-agnostic counting via one-shot detection across diverse domains
A novel feature representation: Aggregating convolution kernels for image retrieval
The exact asymptotic form of Bayesian generalization error in latent Dirichlet allocation
Interactive data analysis and clustering of genomic data
A hierarchy of macrodynamical equations for associative memory
Enabling generalized zero-shot learning towards unseen domains by intrinsic learning from redundant LLM semantics
A novel deep learning model combining 3DCNN-CapsNet and hierarchical attention mechanism for EEG emotion recognition
Emergence of hierarchical structure mirroring linguistic composition in a recurrent neural network
Quasi-projective and complete synchronization of discrete-time fractional-order delayed neural networks
Emotion recognition in human-computer interaction
A local Vapnik-Chervonenkis complexity
Neural networks that learn to predict probabilities: Global models of nuclear stability and decay
CDGT: Constructing diverse graph transformers for emotion recognition from facial videos
Learning the parts of objects by auto-association
Federated learning with workload-aware client scheduling in heterogeneous systems
A recurrent model of transformation invariance by association
Neural network training via an affine scaling quadratic optimization algorithm
Equivalence between dropout and data augmentation: A mathematical check
WPDA: frequency-based backdoor attack with wavelet packet decomposition
Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions
Block-term tensor neural networks
Building blocks for electronic spiking neural networks
Multi-scale signed graph convolutional network based on framelet
Multiple µ-stability of neural networks with unbounded time-varying delays
On-chip visual perception of motion: A bio-inspired connectionist model on FPGA
H∞ control for fractional order neural networks with uncertainties subject to deception attacks via Improved memory-event-triggered scheme and Its application
Discrete Memristive Hopfield Neural Network with Grid-Polyhedral Hyperchaos for FPGA-Based Pseudorandom Number Generator
Deterministic dynamics emerging from a cortical functional architecture
CVANet: Cascaded visual attention network for single image super-resolution
A unified approach for neural network-like approximation of non-linear functionals
Self-tuning Optimal Regulation of Respiratory Motor Output by Hebbian Covariance Learning
An NN-based approach for tuning servocontrollers
Mittag-Leffler stability and application of delayed fractional-order competitive neural networks
Visual reasoning in object-centric deep neural networks: A comparative cognition approach
Towards correlation-based time window selection method for motor imagery BCIs
Interpolating vectors for robust pattern recognition
Fault-tolerant nonlinear adaptive flight control using sliding mode online learning
Fast 2-step regularization on style optimization for real face morphing
Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks
DCS-RISR: Dynamic channel splitting for efficient real-world image super-resolution
Information storage and effective data retrieval in sparse matrices
Trajectory estimation from place cell data
Generic modeling of chemotactic based self-wiring of neural networks
EEG decoding method based on multi-feature information fusion for spinal cord injury
Deep MCANC: A deep learning approach to multi-channel active noise control
Optimal wide-area monitoring and nonlinear adaptive coordinating neurocontrol of a power system with wind power integration and multiple FACTS devices
A sparsity-based stochastic pooling mechanism for deep convolutional neural networks
Accuracy of Loopy belief propagation in Gaussian models
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning
Pattern separation and synchronization in spiking associative memories and visual areas
Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition
Generalized pinning synchronization of delayed Cohen-Grossberg neural networks with discontinuous activations
Joint sparse graph and flexible embedding for graph-based semi-supervised learning
PSL: Prototype swapping learning for modality imbalance
New neural multiprocess memory model for adaptively regulating associative learning
Dual-structure community preserving network embedding
Object and spatial discrimination makes weakly supervised local feature better
Fixed-time synchronization of inertial memristor-based neural networks with discrete delay
Cluster synchronization of delayed coupled neural networks: Delay-dependent distributed impulsive control
Generative Restricted Kernel Machines: A framework for multi-view generation and disentangled feature learning
The dynamics of hebbian synapses can be stabilized by a nonlinear decay term
Towards an intelligent framework for multimodal affective data analysis
Extracting and inserting knowledge into stacked denoising auto-encoders
The first anniversary of INNS : presented to the First annual meeting of the international neural network society by Stephen Grossberg INNS Founder and President September 6, 1988 Park Plaza Hotel Boston, Massachusett
The learning vector quantization algorithm applied to automatic text classification tasks
Mitigate forgetting in few-shot class-incremental learning using different image views
A modular neural model of motor synergies
Classes of efficiently computable linear neural nets
Three Methods to Speed up the Training of Feedforward and Feedback Perceptrons
Introduction to the special issue on deep reinforcement learning: An editorial
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks
Feedforward shunting: The role of 3rd order correlations in neural synchroneity
Sensory-motor gating and cognitive control by the brainstem cholinergic system
Robust multi-view subspace clustering based on consensus representation and orthogonal diversity
A comment on "Global stability analysis in delayed Hopfield neural network models"
Neural network learning of optimal Kalman prediction and control
Hybrid intelligent methodology to design translation invariant morphological operators for Brazilian stock market prediction
A new nonlinear similarity measure for multichannel signals
Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation
Exploitation of image statistics with sparse coding in the case of stereo vision
A global neural network learning machine: Coupled integer and fractional calculus operator with an adaptive learning scheme
Convergent adaptive control based prescribed-time synchronization of switched fuzzy competitive network systems with time-varying delays
Handwritten numeral recognition using a small number of fuzzy rules with optimized defuzzification parameters
Time-series domain adaptation via sparse associative structure alignment: Learning invariance and variance
Pavlovian-based neurofeedback enhances meta-awareness of mind-wandering
Multi-Aspect enhanced Graph Neural Networks for recommendation
A biologically inspired computational model of human ventral temporal cortex
PMOG: The projected mixture of Gaussians model with application to blind source separation
Stochastic style perturbation modelling for visible-Infrared person re-Identification with severely modality imbalance
Neighborhood structure enhancement and denoising method for multi-behavior recommendation
Neuromorphic Regulation of Dynamic Systems Using Back Propagation Networks
Experiments with Safe muARTMAP : Effect of the network parameters on the network performance
AGNER: Agile governance-oriented unified named entity recognition for continual learning with diffusion adaptation
Blind signal processing by the adaptive activation function neurons
Unsupervised multi-domain multimodal image-to-image translation with explicit domain-constrained disentanglement
Separable integral neural networks
Color constancy and the functional significance of McCollough effects
Facial expression recognition based on multi-domain norm-referenced encoding
Characterization of periodic attractors in neural ring networks
Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods
Hierarchical fine-grained multi-behavior recommendation with behavior-aware contrastive learning
Reducing bias to source samples for unsupervised domain adaptation
Continuous attractors and oculomotor control
Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild
An Infomax-based learning rule that generates cells similar to visual cortical neurons
Delay for the capacity-simplicity dilemma in associative memory attractor networks
Novel optimal trajectory tracking for nonlinear affine systems with an advanced critic learning structure
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics
Integrating contextual information to enhance SOM-based text document clustering
Probabilistic lower bounds for approximation by shallow perceptron networks
On the capacity of deep generative networks for approximating distributions
Efficient offline-to-online reinforcement learning with pre-reduced out-of-distribution Q-values
Personalized response generation by Dual-learning based domain adaptation
A novel deep learning algorithm for incomplete face recognition: Low-rank-recovery network
Online estimation of objective function for continuous-time deterministic systems
A consensus algorithm based on collective neurodynamic system for distributed optimization with linear and bound constraints
Event management for large scale event-driven digital hardware spiking neural networks
Few-shot learning in deep networks through global prototyping
Multi-graph learning with adaptive graph-bag mapping
Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation
A reinforcement learning algorithm acquires demonstration from the training agent by dividing the task space
Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing
Noise tolerance in a Neocognitron-like network
Analysis of global exponential stability and periodic solutions of neural networks with time-varying delays
Causal Disentanglement Domain Generalization for time-series signal fault diagnosis
Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations
Recurrent networks with soft-thresholding nonlinearities for lightweight coding
A self-supervised learning system for pattern recognition by sensory integration
GARAT: Generative Adversarial Learning for Robust and Accurate Tracking
Decoding natural visual scenes via learnable representations of neural spiking sequences
The general inefficiency of batch training for gradient descent learning
Self-organizing maps with recursive neighborhood adaptation
MSRMNet: Multi-scale skip residual and multi-mixed features network for salient object detection
Neural Network Models of Strategy Development in Children
Stability of stochastic impulsive reaction-diffusion neural networks with S-type distributed delays and its application to image encryption
Multi-scale full spike pattern for semantic segmentation
Editorial introduction to the Neural Networks special issue on Deep Learning of Representations
Interactive attack-defense for generalized person re-identification
The general regression neural network - Rediscovered
MIMO transmit scheme based on morphological perceptron with competitive learning
Learn the global prompt in the low-rank tensor space for heterogeneous federated learning
Embodying meaning: Insights from primates, autism, and Brentano
Improved switching condition for reachable set estimation of discrete-time switched delayed neural networks
Robust Bayesian clustering
The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization
Classwise-CRF: Category-specific fusion for enhanced semantic segmentation of remote sensing imagery
A mixed analog/digital chaotic neuro-computer system for quadratic assignment problems
Corrigendum to "Multi-view Spectral Clustering Algorithm Based on Bipartite Graph and Multi-feature Similarity Fusion" [Neural Networks, 194 (2026), 108177]
Human attention guided explainable artificial intelligence for computer vision models
Synchronization of multi-cluster complex networks
Comments on the "No-Prop" algorithm
Neocognitron trained with winner-kill-loser rule
Quantum Neural Networks and Topological Quantum Field Theories
Composition of biosonar images for target recognition by echolocating bats
Local contour features contribute to figure-ground segregation in monkey V4 neural populations and human perception
A universal strategy for smoothing deceleration in deep graph neural networks
Joint estimation of pose, depth, and optical flow with a competition-cooperation transformer network
Hybrid contrastive multi-scenario learning for multi-task sequential-dependence recommendation
Learning to recognize objects on the fly: A neurally based dynamic field approach
Design, analysis and verification of noise-tolerant and overshoot-free recurrent neural network
Asymptotic accuracy of Bayesian estimation for a single latent variable
Celebrating the Year with a Special Issue for IJCNN'03
Fat neural network for recognition of position-normalised objects
SCADA securing system using deep learning to prevent cyber infiltration