yusuke1997/dblp-id-title huggingface dataset:
Sampled-data controller scheme for multi-agent systems and its Application to circuit network
Pointwise probability reinforcements for robust statistical inference
Predictive learning with structured (grouped) data
Subgraph-aware graph structure revision for spatial-temporal graph modeling
Enhanced accuracy in first-spike coding using current-based adaptive LIF neuron
Attractor transitions: A basis for sequential processing in neural networks?
Increasing robustness against background noise: Visual pattern recognition by a neocognitron
Combination of deep speaker embeddings for diarisation
Self-organizing ARTMAP rule discovery
Complex and chaotic dynamics in a discrete-time-delayed Hopfield neural network with ring architecture
On extending the complex FastICA algorithms to noisy data
GFANC-RL: Reinforcement Learning-based Generative Fixed-filter Active Noise Control
Local conditions for phase transitions in neural networks with variable connection strengths
A mode-dependent approach to state estimation of recurrent neural networks with Markovian jumping parameters and mixed delays
Improved result on state estimation for complex dynamical networks with time varying delays and stochastic sampling via sampled-data control
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach
Hierarchical Concept Formation in Associative Memory Composed of Neuro-window Elements
From ReLU to GeMU: Activation functions in the lens of cone projection
Semi-supervised disentangled framework for transferable named entity recognition
A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis
Multiple Discrimination and Pairwise CNN for view-based 3D object retrieval
A year of exciting Special Issues!
Initiation and termination of integration in a decision process
Solving inequality constrained combinatorial optimization problems by the hopfield neural networks
Implementation of optical sensory neural networks by simple discrete and monolithic circuits
A DINO-based progressive semantic enhanced infrared and visible image fusion network
Finite-time guarantee-cost H∞ consensus control of second-order multi-agent systems based on sampled-data event-triggered mechanisms
Learning deformable registration of medical images with anatomical constraints
Graph-based normalization and whitening for non-linear data analysis
Hessian-based mixed-precision quantization with transition aware training for neural networks
Design of fuzzy cognitive maps using neural networks for predicting chaotic time series
Methods for estimating neural firing rates, and their application to brain-machine interfaces
Cluster synchronization of fractional-order two-layer networks and application in image encryption/decryption
FPGA-based fast bin-ratio spiking ensemble network for radioisotope identification
The minimum regret path problem on stochastic fuzzy time-varying networks
A novel semi-supervised meta learning method for subject-transfer brain-computer interface
An approximation algorithm for graph partitioning via deterministic annealing neural network
Class distributions on SOM surfaces for feature extraction and object retrieval
Recursive principal components analysis
Further noise rejection in linear associative memories
Domain adaptive object detection with model-agnostic knowledge transferring
Real-time multiple spatiotemporal action localization and prediction approach using deep learning
An inappropriate use of neural networks for forecasting
The combined Lyapunov functionals method for stability analysis of neutral Cohen-Grossberg neural networks with multiple delays
Neural network for radar terrain image recognition
Hierarchical curiosity loops and active sensing
RAFNet: Restricted attention fusion network for sleep apnea detection
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
High capacity pattern recognition associative processors
The role of directed cycles in a directed neural network
A neurodynamical model for working memory
Learning emotions latent representation with CVAE for text-driven expressive audiovisual speech synthesis
Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability
Local analysis of behaviour in the adjusting-delay task for assessing choice of delayed reinforcement
BC-PMJRS: A Brain Computing-inspired Predefined Multimodal Joint Representation Spaces for enhanced cross-modal learning
Inter-class sparsity based discriminative least square regression
BI-FedGNN: Federated graph neural networks framework based on Bayesian inference
Erratum to "An on-line algorithm for creating self-organizing fuzzy neural networks" [Neural Networks 17(10)(2004)1477-1493]
Efficient tensor decomposition-based filter pruning
Detector-based boundary synchronization control of hidden Markov jump reaction-diffusion neural networks
Dimensionality reduction for density ratio estimation in high-dimensional spaces
A novel density-based neural mass model for simulating neuronal network dynamics with conductance-based synapses and membrane current adaptation
Best approximation by Heaviside perceptron networks
Cubic approximation neural network for multivariate functions
A unified analysis of alpha rhythm, fast synchronized oscillations, and flash visual evoked potentials
Application of neural networks to load-frequency control in power systems
A neural net algorithm for multidimensional maximum entropy spectrum estimation
Finite-time synchronization for memristor-based neural networks with time-varying delays
Fixed-time synchronization of coupled memristor-based neural networks with time-varying delays
Dual-head prediction and reconstruction with coarse-to-fine masks for visual reinforcement learning
A physics informed neural network architecture for moving boundary problems in science and engineering
Fully corrective boosting with arbitrary loss and regularization
Hypergraph node representation learning with one-stage message passing
Passivity and robust passivity of inertial memristive neural networks with time-varying delays via non-reduced order method
End-to-end neural speaker diarization with an iterative adaptive attractor estimation
Result constraint behavior cloning for offline reinforcement learning
Dual-stream interactive networks with pearson-mask awareness for multivariate time series forecasting
A prompt regularization approach to enhance few-shot class-incremental learning with Two-Stage Classifier
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project
Using small multilayer networks to search real hyperspaces
Generative character of perception: a neural architecture for sensorimotor anticipation
Advertising or adversarial? AdvSign: Artistic advertising sign camouflage for target physical attacking to object detector
A hybrid quantum-classical neural network with deep residual learning
Convergence Suppression and Divergence Facilitation: Minimum and Joint Use of Hidden Units by Multiple Outputs
Theory of deep convolutional neural networks: Downsampling
Weight discretization in backward error propagation neural networks
Domain-informed graph neural networks: A quantum chemistry case study
An H ∞ control approach to robust learning of feedforward neural networks
Neural learning of embodied interaction dynamics
Personalized multi-head self-attention network for news recommendation
Learnable Heterogeneous Convolution: Learning both topology and strength
Finite-time synchronization of stochastic coupled neural networks subject to Markovian switching and input saturation
Attention-guided CNN for image denoising
Strictly intermittent quantized control for fixed/predefined-time cluster lag synchronization of stochastic multi-weighted complex networks
MGML: A plug-and-play meta-guided multi-modal learning framework for incomplete multimodal brain tumor segmentation
Modeling place cells and grid cells in multi-compartment environments: Entorhinal-hippocampal loop as a multisensory integration circuit
Efficient streaming text clustering
Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks
Image steganalysis based on space-frequency domain interaction and collaborative enhancement
Delay-distribution-dependent state estimation for discrete-time stochastic neural networks with random delay
MDWConv:CNN based on multi-scale atrous pyramid and depthwise separable convolution for long time series forecasting
SDR-Former: A Siamese Dual-Resolution Transformer for liver lesion classification using 3D multi-phase imaging
Self-organized operational neural networks for severe image restoration problems
Time dependent neural network models for detecting changes of state in complex processes: Applications in earth sciences and astronomy
Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities
Robustness and perturbation analysis of a class of artificial neural networks
F-norm distance metric based robust 2DPCA and face recognition
A self-organizing short-term dynamical memory network
Low-degree term first in ResNet, its variants and the whole neural network family
The N-N-N conjecture in ART1
A weighted prior tensor train decomposition method for community detection in multi-layer networks
Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection
Complex dynamics in winner-take-all neural nets with slow inhibition
Trust-aware conditional adversarial domain adaptation with feature norm alignment
Global exponential stability of generalized recurrent neural networks with discrete and distributed delays
Semi-supervised learning based on high density region estimation
Stereo boundary fusion by cortical complex cells: A system of maps, filters, and feedback networks for multiplexing distributed data
Adaptive neural network control for Markov jumping systems against deception attacks
Modeling structured data learning with Restricted Boltzmann machines in the teacher-student setting
Associative memories based on continuous-time cellular neural networks designed using space-invariant cloning templates
Unsupervised feature selection based on variance-covariance subspace distance
Nucleo-olivary inhibition balances the interaction between the reactive and adaptive layers in motor control
Intra-class progressive and adaptive self-distillation
PanoGen++: Domain-adapted text-guided panoramic environment generation for vision-and-language navigation
Modeling neuropathologies as disruption of normal sequence generation in working memory networks
Noise-boosted bidirectional backpropagation and adversarial learning
A hybrid neural network model in handwritten word recognition
Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks
Hierarchical matching and reasoning for multi-query image retrieval
FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing
Correcting and combining time series forecasters
Online spike sorting via deep contractive autoencoder
Consistent stabilizability of switched Boolean networks
Synthetic brain imaging: grasping, mirror neurons and imitation
Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations
Hybrid distributed finite-time neurodynamic optimization of electric vehicle charging schemes management in microgrid considering time-varying factors
Model of biological pattern recognition with spatially chaotic dynamics
From artificial neural networks to spiking neuron populations and back again
Conferences on neural networks and related topics
A conversational model for eliciting new chatting topics in open-domain conversation
Distributed ARTMAP: a neural network for fast distributed supervised learning
On the problem of consciousness
Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model
Improved multi-view GEPSVM via Inter-View Difference Maximization and Intra-view Agreement Minimization
Robust min-max optimal control design for systems with uncertain models: A neural dynamic programming approach
Complexity of spatiotemporal activity of a neural network model which depends on the degree of synchronization
Generalization ability of fractional polynomial models
An enhanced approach to the robust discriminant analysis and class sparsity based embedding
Convergence-Zone Episodic Memory: Analysis and Simulations
Fractally configured neural networks
Attention in natural scenes: Neurophysiological and computational bases
On using the Poincaré polynomial for calculating the VC dimension of neural networks
Central loss guides coordinated Transformer for reliable anatomical landmark detection
Disentangled Active Learning on Graphs
ST-FlowNet: A lightweight framework for long-term spatio-temporal flow field prediction
Convergence behavior of delayed discrete cellular neural network without periodic coefficients
Response prediction of nonlinear hysteretic systems by deep neural networks
Approximate spectral decomposition of Fisher information matrix for simple ReLU networks
Redesigning deep neural networks: Bridging game theory and statistical physics
Image compression with back propagation: Improvement of the visual restoration using different cost functions
WiMTI: A multitask learning model for WiFi-based identity and posture recognition
A Cortical-type Modular Neural Network for Hypothetical Reasoning
Finite-time cluster synchronization for complex dynamical networks under FDI attack: A periodic control approach
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Improved approach to the problem of the global Mittag-Leffler synchronization for fractional-order multidimension-valued BAM neural networks based on new inequalities
ELAI-SGCN: An explainable lightweight adaptive information-perceiving spiking graph convolutional network for EEG-based emotion recognition
Soft vector quantization and the EM algorithm
Survey and experimental study on metric learning methods
UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network
Structured pruning of recurrent neural networks through neuron selection
Generalized attention-weighted reinforcement learning
A comparison of deep networks with ReLU activation function and linear spline-type methods
Focusing on pedestrians like human for clothes changing person re-identification
Centralized and decentralized neuro-adaptive robot controllers
Modeling visual recognition from neurobiological constraints
Distributed synchrony in a cell assembly of spiking neurons
Word self-update contrastive adversarial networks for text-to-image synthesis
Identification of mediator specific cardiovascular waveforms using a back propagation neural network
Global collaboration through local interaction in competitive learning
Asymptotic behavior of exchange ratio in exchange Monte Carlo method
Robust facial landmark detection by cross-order cross-semantic deep network
Zero-Hopf Bifurcation of a memristive synaptic Hopfield neural network with time delay
Attentional feature pyramid network for small object detection
A phase plane analysis of neuron-astrocyte interactions
Closed-loop control of nonlinear neural networks: The estimate of control time and energy cost
Comparing two Bayes methods based on the free energy functions in Bernoulli mixtures
Lightweight real-time speech enhancement: State-space models and multi-spectral scanning techniques
Preassigned-time synchronization for complex-valued memristive neural networks with reaction-diffusion terms and Markov parameters
Recent advances in brain-machine interfaces
Mutual GNN-MLP distillation for robust graph adversarial defense
New results on anti-synchronization of switched neural networks with time-varying delays and lag signals
Cost-effective stochastic MAC circuits for deep neural networks
Improving large models with small models: Lower costs and better performance
Encoding uncertainty in the hippocampus
How to backdoor split learning
Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets
Dual-stage feedback network for lightweight color image compression artifact reduction
Learning on manifolds without manifold learning
Multi-parametric bifurcations of a fractional neural network with multiple delays and inertial terms
Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors
A neurodynamic model of the interaction between color perception and color memory
The breaking of a delayed ring neural network contributes to stability: The rule and exceptions
LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction
Instance elimination strategy for non-convex multiple-instance learning using sparse positive bags
A scalable multi-signal approach for the parallelization of self-organizing neural networks
Knowledge-Guided Semantically Consistent Contrastive Learning for sequential recommendation
Dynamic planning in hierarchical active inference
Parallel neural network simulation machine: Neuman
Combining Hebbian and reinforcement learning in a minibrain model
Intensity encoding in unsupervised neural nets
Classification of 2-dimensional array patterns: Assembling many small neural networks is better than using a large one
Using Features for the Storage of Patterns in a Fully Connected Net
Saturated impulsive control for synchronization of coupled delayed neural networks
A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data
Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm
CoSD: Balancing behavioral consistency and diversity in unsupervised skill discovery
Constraining an Unconstrained Multi-agent Policy with offline data
Combining STDP and binary networks for reinforcement learning from images and sparse rewards
dFasArt: Dynamic neural processing in FasArt model
Modeling the role of frontal lobes in sequential task performance. I. Basic structure and primacy effects
Periodicity and finite-time periodic synchronization of discontinuous complex-valued neural networks
Remix: Towards the transferability of adversarial examples
Characteristic Functions and Process Identification by Neural Networks
Global Mittag-Leffler stability and synchronization analysis of fractional-order quaternion-valued neural networks with linear threshold neurons
Comprehensive analysis of fixed-time stability and energy cost for delay neural networks
CNN-Informer: A hybrid deep learning model for seizure detection on long-term EEG
Extracting algorithms from pattern classification neural networks
Synchronization of time-delay dynamical networks via hybrid delayed impulses
On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size
Improved object recognition using neural networks trained to mimic the brain's statistical properties
An efficient neural network approach to dynamic robot motion planning
An incremental regression method for graph structured data
Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees
Radial basis function network configuration using genetic algorithms
The process of learning in neural net models with Poisson and Gauss connectivities
Randomized sketches for kernel CCA
Discrete time leaky integrator network with synaptic noise
Safe screening rules for multi-view support vector machines
Fuzzylot: a novel self-organising fuzzy-neural rule-based pilot system for automated vehicles
TACN: A Topical Adversarial Capsule Network for textual network embedding
Cueing, feature discovery, and one-class learning for synthetic aperture radar automatic target recognition
Dual-channel hierarchical interactive learning for the prediction of Protein-Ligand binding affinity
A theoretical study of multisensory integration in the superior colliculus by a neural network model
Iterative feedback-based time-series anomaly detection with adaptive diffusion models
Looking inside self-organizing map ensembles with resampling and negative correlation learning
Price-aware debiased learning model for recommendation
Data prioritization aware resource allocation in internet of vehicles using multi-agent deep reinforcement learning
Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers
Corrigendum to "Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems" [Neural Networks 187 (2025) 107412]
On the role of feedback in image recognition under noise and adversarial attacks: A predictive coding perspective
Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics
Modulations of dendritic Ca2+ spike with weak electric fields in layer 5 pyramidal cells
Training the max-margin sequence model with the relaxed slack variables
Disentangled representation learning for multi-view clustering via von Mises-Fisher hyperspherical embedding
Stabilities in optimal cluster separation networks
Consensus analysis of networks with time-varying topology and event-triggered diffusions
Back-propagation is not Efficient
Strongly concealed adversarial attack against text classification models with limited queries
D4A: An efficient and effective defense across agnostic adversarial attacks
Non-parametric Data Selection for Neural Learning in Non-stationary Time Series
Matrix measure method for global exponential stability of complex-valued recurrent neural networks with time-varying delays
Delayed state-feedback control for stabilization of neural networks with leakage delay
A survey of sum-product networks structural learning
A classificatory network based on a study of the neocortex
DFA-mode-dependent stability of impulsive switched memristive neural networks under channel-covert aperiodic asynchronous attacks
Linear redundancy reduction learning
HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning
Singular-continuous nowhere-differentiable attractors in neural systems
TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks
IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control
Information processing in dendrites: I. Input pattern generalisation
Robust BMPM training based on second-order cone programming and its application in medical diagnosis
Training Lp norm multiple kernel learning in the primal
Computational advantages of higher order neural networks
An efficient framework based on local multi-representatives and noise-robust synthetic example generation for self-labeled semi-supervised classification
Deep graph representation learning influence maximization with accelerated inference
Deep prior embedding method for Electrical Impedance Tomography
Density codes and shape spaces
The more, the merrier: Detecting categorical emotions from texts with cross-modal insights
Quantum-inspired neural network with hierarchical entanglement embedding for matching
Unified analysis of stability and dissipativity for inertial memristive multidimensional-valued neural networks with time-varying delays via non-reduced order method
MNet: A multi-scale network for visible watermark removal
A novel approach to neuro-fuzzy classification
Region-aware network: Model human's Top-Down visual perception mechanism for crowd counting
Artificial neural networks for modeling discrete dynamic systems
Effect of inhibitory spike-timing-dependent plasticity on fast sparsely synchronized rhythms in a small-world neuronal network
Bio-inspired homogeneous multi-scale place recognition
Skin & muscles: The basic wet-ware for sensory-motor control
Orientation-selective aVLSI spiking neurons
Metastability, instability, and state transition in neocortex