yusuke1997/dblp-id-title huggingface dataset:
Communication-efficient federated learning with stagewise training strategy
Improving nonlinear modeling capabilities of functional link adaptive filters
Synapses as dynamic memory buffers
Characteristics of sparsely encoded associative memory
Enhancing node influence prediction in large networks via multi-Level knowledge distillation
SurvNAM: The machine learning survival model explanation
Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets
Discriminant subspace learning constrained by locally statistical uncorrelation for face recognition
Data-free knowledge distillation via generator-free data generation for Non-IID federated learning
Ordinal regression neural networks based on concentric hyperspheres
Reduced-order state estimation of delayed recurrent neural networks
Corrigendum to "Projective synchronization for fractional neural networks"
Local distinguishability aggrandizing network for human anomaly detection
Robustness analysis for connection weight matrices of global exponential stability of stochastic recurrent neural networks
Inverse-free zeroing neural network for time-variant nonlinear optimization with manipulator applications
PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction
Denoising Autoencoder Self-Organizing Map (DASOM)
Resilient asynchronous state estimation of Markov switching neural networks: A hierarchical structure approach
Boundedness, Mittag-Leffler stability and asymptotical ω-periodicity of fractional-order fuzzy neural networks
Luminance gradients and non-gradients as a cue for distinguishing reflectance and illumination in achromatic images: A computational approach
Novel deep learning solutions with layered recurrent neural networks for nonlinear stiff Dahl hysteresis model in piezoelectric actuator
Intrinsic sodium currents and excitatory synaptic transmission influence spontaneous firing in up and down activities
Energy efficiency and sensitivity benefits in a motion processing adaptive recurrent neural network
An adaptive kernel dictionary-based low-rank representation method for subspace clustering
Meta-learning approach to neural network optimization
The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain
On the node complexity of neural networks
Regularization, early-stopping and dreaming: A Hopfield-like setup to address generalization and overfitting
Distributed associative memory network with memory refreshing loss
Biased Dropout and Crossmap Dropout: Learning towards effective Dropout regularization in convolutional neural network
Neural network based control schemes for flexible-link manipulators: simulations and experiments
Motif-aware curriculum learning for node classification
Decentralized neural identifier and control for nonlinear systems based on extended Kalman filter
Parallelizing the cascade-correlation algorithm using time warp
Multilayer Perceptrons to Approximate Quaternion Valued Functions
Adaptive near-optimal neuro controller for continuous-time nonaffine nonlinear systems with constrained input
Deep Isotonic Embedding Network: A flexible Monotonic Neural Network
Input-to-state stability of positive delayed neural networks via impulsive control
Learning performance of cerebellar circuit depends on diversity and chaoticity of spiking patterns in granule cells: A simulation study
A spiking neuron model: applications and learning
Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
Distributed representation of tone frequency in highly decodable spatio-temporal activity in the auditory cortex
Stability and synchronization of memristor-based fractional-order delayed neural networks
Dynamic scale position embedding for cross-modal representation learning
PrediRep: Modeling hierarchical predictive coding with an unsupervised deep learning network
Corrigendum to "Self-Referencing agents for unsupervised reinforcement learning" [Neural Networks Volume 188, August 2025, 107448]
Learning image features with fewer labels using a semi-supervised deep convolutional network
Back propagation with expected source values
An analysis of competing neural network knowledge representation strategies
Two-hidden-layer ReLU neural networks and finite elements
Large Language Model Enhanced Logic Tensor Network for Stance Detection
White noise analysis for the correlation-type elementary motion detectors with half-wave rectifiers
A structure-time parallel implementation of spike-based deep learning
Online sequential class-specific extreme learning machine for binary imbalanced learning
Delay-dependent dynamical analysis of complex-valued memristive neural networks: Continuous-time and discrete-time cases
A note on finite-time and fixed-time stability
Optimal node perturbation in linear perceptrons with uncertain eligibility trace
The contribution of active body movement to visual development in evolutionary robots
Optical flow prompts distractor-aware siamese network for tracking autonomous underwater vehicle with sonar and camera videos
SATCount: A scale-aware transformer-based class-agnostic counting framework
Relationship completion for incomplete multi-view clustering
Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: A gain-scheduled approach
Bounds on the number of hidden units of boltzmann machines
A multi-birth metric learning framework based on binary constraints
Modeling eye movements in visual agnosia with a saliency map approach: Bottom-up guidance or top-down strategy?
Robust exponential stability of discrete-time uncertain impulsive stochastic neural networks with delayed impulses
Safe and accelerated screening framework for support tensor machines
Small networks of empirically derived adaptive elements simulate some higher-order features of classical conditioning
Max-min distance nonnegative matrix factorization
Sign-representation of Boolean functions using a small number of monomials
Limitations of shallow nets approximation
Deep divergence-based approach to clustering
Quantum weighted long short-term memory neural network and its application in state degradation trend prediction of rotating machinery
On spectral bias reduction of multi-scale neural networks for regression problems
An improved Artificial Protozoa Optimizer for CNN architecture optimization
Causal multi-label learning for image classification
Necessary and sufficient condition for absolute stability of normal neural networks
NFN＋: A novel network followed network for retinal vessel segmentation
Construction of confidence intervals for neural networks based on least squares estimation
Event-triggered control for robust exponential synchronization of inertial memristive neural networks under parameter disturbance
Glimpse and focus: Global and local-scale graph convolution network for skeleton-based action recognition
Neural-network-based accelerated safe Q-learning for optimal control of discrete-time nonlinear systems with state constraints
Realization problem of multi-layer cellular neural networks
Spectral embedding network for attributed graph clustering
An optimal control strategy for hybrid actuator systems: Application to an artificial muscle with electric motor assist
Dynamic image clustering from projected coordinates of deep similarity learning
Graph embedded rules for explainable predictions in data streams
PROSE: Predicting Multiple Operators and Symbolic Expressions using multimodal transformers
Dynamics of a random neural network with synaptic depression
Improved deep CNNs based on Nonlinear Hybrid Attention Module for image classification
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification
Existence and finite-time stability of discrete fractional-order complex-valued neural networks with time delays
Neurocomputational approaches to modelling multisensory integration in the brain: A review
Finite-time H∞ output synchronization for DCRDNNs with multiple delayed and adaptive output couplings
ITSEF: Inception-based two-stage ensemble framework for P300 detection
View-shuffled clustering via the modified Hungarian algorithm
Self-organized Operational Neural Networks with Generative Neurons
Performance boost of time-delay reservoir computing by non-resonant clock cycle
Uncertainty modeling for inductive knowledge graph embedding
A biologically motivated visual memory architecture for online learning of objects
Synchronization of stochastic reaction-diffusion neural networks with Dirichlet boundary conditions and unbounded delays
Pattern recognition by a distributed neural network: An industrial application
LVQ algorithm with instance weighting for generation of prototype-based rules
Simulation studies of the CA3 hippocampal subfield modelled as an attractor neural network
Towards efficient network compression via Few-Shot Slimming
Neuro-oscillatory models of cortical speech processing
BrainGridNet: A two-branch depthwise CNN for decoding EEG-based multi-class motor imagery
H-VECTORS: Improving the robustness in utterance-level speaker embeddings using a hierarchical attention model
Neural networks for image transformation, analysis, and compression
Non-homogenous neural networks with chaotic recursive nodes: Connectivity and multi-assemblies structures in recursive processing elements architectures
Echo Memory-Augmented Network for time series classification
Joint moment-matching autoencoders
FDAA: A feature distribution-aware transferable adversarial attack method
Multi-view learning meets state-space model: A dynamical system perspective
A competitive neural model of small number detection
RASP: Regularization-based Amplitude Saliency Pruning
Multi-level Feature Interaction and Efficient Non-Local Information Enhanced Channel Attention for image dehazing
Nonredundant sparse feature extraction using autoencoders with receptive fields clustering
Multi-view learning with enhanced multi-weight vector projection support vector machine
An efficient self-organizing RBF neural network for water quality prediction
Global exponential synchronization of memristor-based recurrent neural networks with time-varying delays
Adversarial rain attack and defensive deraining for DNN perception
Exploring personalized searches using tag-based user profiles and resource profiles in folksonomy
Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning
Observer-based dynamical pattern recognition via deterministic learning
Memory-augmented shuffled meta learning for visible-infrared person re-identification
Discrete particle swarm optimization for identifying community structures in signed social networks
Spike-based VLSI modeling of the ILD system in the echolocating bat
Bitscaling: Streamlining neural network compression via predictive multi-scale growth of mixed-precision networks
Necessary and sufficient knowledge enhanced collaborative logical reasoning in LLMs
A programmable neural virtual machine based on a fast store-erase learning rule
Batch gradient method with smoothing L 1/2 regularization for training of feedforward neural networks
Oscillatory neural network and learning of continuously transformed patterns
Hippocampal LTP Depends on Spatial and Temporal Correlation of Inputs
GSB: Group superposition binarization for vision transformer with limited training samples
Mask-Shift-Inference: A novel paradigm for domain generalization
Dual-learning Multi-hop Nonnegative Matrix Factorization for community detection
Learning Cascade Attention for fine-grained image classification
Episodic task agnostic contrastive training for multi-task learning
Local fields in optimal perceptrons with correlated patterns
Adaptive learning via selectionism and Bayesianism, Part I: Connection between the two
NIRS: Large scale ART-1 neural architectures for engineering design retrieval
HyperComm: Hypergraph-based communication in multi-agent reinforcement learning
Stochastic models of decisions about motion direction: Behavior and physiology
Learning algorithms for probabilistic neural nets
An Efficient EM-based Training Algorithm for Feedforward Neural Networks
An approach to inferring gene regulatory networks via boolean modeling and feature selection
Evolving neural networks to follow trajectories of arbitrary complexity
Finite time stabilization of delayed neural networks
Neural Network Model of Spatial Memory: Associative Recall of Maps
Bio-inspired computational memory model of the Hippocampus: An approach to a neuromorphic spike-based Content-Addressable Memory
Effect of delay on the boundary of the basin of attraction in a system of two neurons
Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples
The computational role of dopamine D1 receptors in working memory
S2AF: An action framework to self-check the Understanding Self-Consistency of Large Language Models
An analog VLSI implementation of the marr-poggio stereo correspondence algorithm
Predictive Modular Neural Networks for Time Series Classification
Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity
Elimination of spiral waves in a locally connected chaotic neural network by a dynamic phase space constraint
Online sensorimotor learning and adaptation for inverse dynamics control
Cortext: A columnar model of bottom-up and top-down processing in the neocortex
Statistical foundation of Variational Bayes neural networks
Improving generalization of deep neural networks by leveraging margin distribution
Effects of self-coupling and asymmetric output on metastable dynamical transient firing patterns in arrays of neurons with bidirectional inhibitory coupling
Neural associative memories and sparse coding
Iterative multi-channel coherence analysis with applications
VPT: Video portraits transformer for realistic talking face generation
A perturbative approach for enhancing the performance of time series forecasting
Combining external-latent attention for medical image segmentation
FPWT: Filter pruning via wavelet transform for CNNs
A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem
l2-l∞ state estimation for delayed artificial neural networks under high-rate communication channels with Round-Robin protocol
Using neural networks to improve classification: Application to brain maturation
Ideal regularization for learning kernels from labels
Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization
Few-shot link prediction for temporal knowledge graphs based on time-aware translation and attention mechanism
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection
Frequency-dependent synaptic potentiation, depression and spike timing induced by Hebbian pairing in cortical pyramidal neurons
MSB-VQA: Overcoming multiple source biases for robust visual question answering
Hierarchical attention network with progressive feature fusion for facial expression recognition
Learning from pairwise constraints by Similarity Neural Networks
Parameter identification for a local field potential driven model of the Parkinsonian subthalamic nucleus spike activity
A mathematical model for Cantor coding in the hippocampus
Decentralized ADMM with compressed and event-triggered communication
2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction
Digital neural networks - A distributed architecture with self-evolving capabilities
Compressing speaker extraction model with ultra-low precision quantization and knowledge distillation
A comparison study of binary feedforward neural networks and digital circuits
Counterfactual generation with joint causal representation for generative adversarial networks
Discovering Parametric Activation Functions
Nonlinear feature selection for support vector quantile regression
On the approximate realization of continuous mappings by neural networks
CSITime: Privacy-preserving human activity recognition using WiFi channel state information
Neuroanatomical database of normal Japanese brains
Designing a layered network for context sensitive pattern classification
Goal-directed learning of features and forward models
Finite-time synchronization of fractional-order memristor-based neural networks with time delays
Neuronal maps for sensory-motor control in the barn owl
Maximum margin semi-supervised learning with irrelevant data
Optimizing conductance parameters of cortical neural models via electrotonic partitions
Margined winner-take-all: New learning rule for pattern recognition
SeBIR: Semantic-guided burst image restoration
MPGM:Multi-prompt generation model with self-supervised contrastive learning for aspect sentiment triplet extraction
Hippocampus, microcircuits and associative memory
Training Spatially Homogeneous Fully Recurrent Neural Networks in Eigenvalue Space
Simultaneously learning affinity matrix and data representations for machine fault diagnosis
Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks
CONFIGR: A vision-based model for long-range figure completion
A computational model of familiarity detection for natural pictures, abstract images, and random patterns: Combination of deep learning and anti-Hebbian training
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment
A direct approach for function approximation on data defined manifolds
An efficient training algorithm for dynamic synapse neural networks using trust region methods
Promoting Further Developments of Neural Networks
Post-boosting of classification boundary for imbalanced data using geometric mean
A multi-scale self-supervised hypergraph contrastive learning framework for video question answering
On stability of nonlinear continuous-time neural networks with delays
FastGAE: Scalable graph autoencoders with stochastic subgraph decoding
Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems
IC neuron: An efficient unit to construct neural networks
Chain-of-Detection enables robust and efficient jailbreak defense
Neural network modeling of central auditory dysfunction in Alzheimer's disease
Machine learning approach to color constancy
Pointwise and uniform approximation by multivariate neural network operators of the max-product type
Boosting feature selection for Neural Network based regression
Federated learning via multi-attention guided UNet for thyroid nodule segmentation of ultrasound images
A new neural network model for line drawing texture segmentation
Accuracy of a Deep Learning Method for Heart Sound Analysis is Unrealistic
Active Dynamic Weighting for multi-domain adaptation
Multiple model-based reinforcement learning explains dopamine neuronal activity
Small universal spiking neural P systems with dendritic/axonal delays and dendritic trunk/feedback
Attention guided learnable time-domain filterbanks for speech depression detection
Aperiodic switching event-triggered stabilization of continuous memristive neural networks with interval delays
New conditions for global stability of neutral-type delayed Cohen-Grossberg neural networks
John Gerald Taylor 1931-2012
Explainable hybrid word representations for sentiment analysis of financial news
Lifelong 3D object recognition and grasp synthesis using dual memory recurrent self-organization networks
Learning-based minimum cost strategies for set reachability of Boolean control networks under data injection attacks
Smoothing inertial neurodynamic approach for sparse signal reconstruction via Lp-norm minimization
MSCViT: A small-size ViT architecture with multi-scale self-attention mechanism for tiny datasets
A counterexample regarding "New study on neural networks: The essential order of approximation"
A computational model for recognizing objects and planning hand shapes in grasping movements
Dynamical Cell Assembly Hypothesis -- Theoretical Possibility of Spatio-temporal Coding in the Cortex
Structural adaptation of parsimonious higher-order neural classifiers
New synchronization criteria for memristor-based networks: Adaptive control and feedback control schemes
An inertial neural network approach for loco-manipulation trajectory tracking of mobile robot with redundant manipulator
Complexity in a brain-inspired agent-based model
Exponential consensus of discrete-time non-linear multi-agent systems via relative state-dependent impulsive protocols
Adaptive complex-valued stepsize based fast learning of complex-valued neural networks
Guaranteed approximation error estimation of neural networks and model modification
Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification
Successfully and efficiently training deep multi-layer perceptrons with logistic activation function simply requires initializing the weights with an appropriate negative mean
An operationally adaptive system for rapid acoustic transmission loss prediction
A Causal Validation augmented Temporal Convolutional Framework for Brain Effective Connectivity Networks Estimation
Noise-robust acoustic signature recognition using nonlinear Hebbian learning
Star algorithm for neural network ensembling
Neural dynamics of emotion and cognition: From trajectories to underlying neural geometry
Molecular correlates of neural network mediating touch sensitivity in
Robot navigation as hierarchical active inference
Spatiotemporal information storage in a content addressable memory using realistic neurons
Matrix completion by deep matrix factorization
Inner-product optical neural processing and supervised learning
A batch ensemble approach to active learning with model selection
Hierarchical cognitive maps
Computation in the Cerebellum
Modeling and classification of shape using a Kohonen associative memory with selective multiresolution
Best estimated inverse versus inverse of the best estimator
Selective information enhancement learning for creating interpretable representations in competitive learning
Biological convolutions improve DNN robustness to noise and generalisation
Corrigendum to: "Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature" [Neural Netw. 21(2-3) (2008) 193-203]
Training Dynamics and Neural Network Performance
Stability and bifurcations in an associative memory model
Improving transparency and representational generalizability through parallel continual learning
On energy complexity of fully-connected layers
Generalization and differentiation of affective associative memory circuit based on memristive neural network with emotion transfer
DynMat, a network that can learn after learning
A complementary learning approach for expertise transference of human-optimized controllers
A coded block adaptive neural network system with a radical-partitioned structure for large-volume Chinese characters recognition
SCMEA: A stacked co-enhanced model for entity alignment based on multi-aspect information fusion and bidirectional contrastive learning
D3HRL: A distributed hierarchical reinforcement learning approach based on causal discovery and spurious correlation detection
Interfering with a memory without erasing its trace
Neural Network Model of the Visual System: Binding Form and Motion
Quantum federated learning with pole-angle quantum local training and trainable measurement
A kernel-based framework to tensorial data analysis
Modelling the insect Mushroom Bodies: Application to sequence learning
Sparse random networks with LTP learning rules approximate Bayes classifiers via Parzen's method
Recognition of words from brain-generated signals of speech-impaired people: Application of autoencoders as a neural Turing machine controller in deep neural networks
Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays
Improved latent diffusion-based IC-DGAN framework for high-resolution multi-feature and expression manipulation
Invariant body kinematics: II. Reaching and neurogeometry
Neural network for regression problems with reduced training sets