yusuke1997/dblp-id-title huggingface dataset:
DGMSCL: A dynamic graph mixed supervised contrastive learning approach for class imbalanced multivariate time series classification
Deep neural network-based generalized sidelobe canceller for dual-channel far-field speech recognition
The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data
On global exponential stability of positive neural networks with time-varying delay
BSMART: A Matlab/C
Complex Rotation Quantum Dynamic Neural Networks (CRQDNN) using Complex Quantum Neuron (CQN): Applications to time series prediction
Person Re-Identification with Feature Pyramid Optimization and Gradual Background Suppression
Analog neuron hierarchy
Noise effect on the temporal patterns of neural synchrony
Nonlinear modeling of neural population dynamics for hippocampal prostheses
Finite-time synchronization of fractional-order gene regulatory networks with time delay
Event-triggered hybrid impulsive control for synchronization of fractional-order multilayer signed networks under cyber attacks
Network participation indices: characterizing component roles for information processing in neural networks
Hierarchical self-organization of minicolumnar receptive fields
Dynamic graph consistency and self-contrast learning for semi-supervised medical image segmentation
Collaborate large and small language models for multi-modal emergency rumor detection
Arguments for the unsuitability of convolutional neural networks for non-local tasks
SVM-Boosting based on Markov resampling: Theory and algorithm
Training of deep neural networks for the generation of dynamic movement primitives
A manifold learning approach for gesture recognition from micro-Doppler radar measurements
Auto-associative memory produced by disinhibition in a sparsely connected network
A stochastic variational framework for Recurrent Gaussian Processes models
NeuroLISP: High-level symbolic programming with attractor neural networks
Outlier-trimmed dual-interval smoothing loss for sample selection in learning with noisy labels
Learning non-stationary conditional probability distributions
A neural network model for temporal sequence learning and motor programming
The passive properties of dendrites modulate the propagation of slowly-varying firing rate in feedforward networks
Adaptive receptive field graph neural networks
Hebbian dreaming for small datasets
Gradient-aware knowledge distillation: Tackling gradient insensitivity through teacher guided gradient scaling
A model for the receptive field of retinal ganglion cells
SOMprocessor : A high throughput FPGA-based architecture for implementing Self-Organizing Maps and its application to video processing
Neural principles of associative learning: Reconstruction of ionic currents in the type B photoreceptor
Delay-dependent stability analysis of the QUAD vector field fractional order quaternion-valued memristive uncertain neutral type leaky integrator echo state neural networks
DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning
Learning lightweight super-resolution networks with weight pruning
Human gait recognition via deterministic learning
Deep learning from label proportions with labeled samples
Generalized multiscale radial basis function networks
Non-fragile H ∞ synchronization of memristor-based neural networks using passivity theory
A convergence theorem for Grossberg learning
Enabling efficient low-bit quantization based on matrix product operators for KV cache compression
Joint Dual Feature Distillation and Gradient Progressive Pruning for BERT compression
On the design of artificial auto-associative neuronal networks
Conserving total synaptic weight ensures one-trial sequence learning of place fields in the hippocampus
Intelligent optimal control with dynamic neural networks
Finite-time stability of state-dependent delayed systems and application to coupled neural networks
Dominating Set Model Aggregation for communication-efficient decentralized deep learning
Generalization of backpropagation with application to a recurrent gas market model
A sparse deep belief network with efficient fuzzy learning framework
Representations and rates of approximation of real-valued Boolean functions by neural networks
A variational EM approach to predictive uncertainty
Exploring the role of edge distribution in graph convolutional networks
A recurrent neural network for solving linear projection equations
Consciousness and neural cognizers: a review of some recent approaches
An explainable autoencoder with multi-paradigm fMRI fusion for identifying differences in dynamic functional connectivity during brain development
Fuzzy c-means-based architecture reduction of a probabilistic neural network
Towards consensual representation: Model-agnostic knowledge extraction for dual heterogeneous federated fault diagnosis
Bifurcation and control in a neural network with small and large delays
Learning smooth dendrite morphological neurons by stochastic gradient descent for pattern classification
Complex-valued autoencoders
What is behind the meta-learning initialization of adaptive filter? - A naive method for accelerating convergence of adaptive multichannel active noise control
Correlation-based channel selection and regularized feature optimization for MI-based BCI
Graph structure reforming framework enhanced by commute time distance for graph classification
A bio-inspired positional embedding network for transformer-based models
Approximation in shift-invariant spaces with deep ReLU neural networks
The origins of social impairments in autism spectrum disorder: Studies of infants at risk
Adversarial regularized diffusion model for fair recommendations
An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification
Adaptive filtering with the self-organizing map: A performance comparison
Latent adversarial regularized autoencoder for high-dimensional probabilistic time series prediction
Multiple paired forward and inverse models for motor control
DEFEAT: Decoupled feature attack across deep neural networks
Generalized 2D principal component analysis for face image representation and recognition
SIM-ELM: Connecting the ELM model with similarity-function learning
Exponential synchronization for variable-order fractional discontinuous complex dynamical networks with short memory via impulsive control
Towards effective deep transfer via attentive feature alignment
Some sufficient conditions for global exponential stability of delayed Hopfield neural networks
Neural network-based dynamic target enclosing control for uncertain nonlinear multi-agent systems over signed networks
Adaptive modeling of nonnegative environmental systems based on projectional Differential Neural Networks observer
Learning visual features under motion invariance
A spectral filtering approach to represent exemplars for visual few-shot classification
Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size data
A convexity-based analysis of neural networks
Heterogeneous Graph Neural Network with Adaptive Relation Reconstruction
V4 shape features for contour representation and object detection
Purkinje local circuits with delays: mathematical conditions of stability for learning and retrieval
Structured Ensembles: An approach to reduce the memory footprint of ensemble methods
Flexible multi-view semi-supervised learning with unified graph
Noisy reinforcement training for pRAM nets
Multiple cusp bifurcations
An event-based filtering and weighted enhanced deep learning epileptic seizure prediction method
An information-theoretic approach for heterogeneous differentiable causal discovery
Recognition invariance obtained by extended and invariant features
Nonlinearity of the population activity to transparent motion
Cross-modal distribution alignment embedding network for generalized zero-shot learning
Tacit mechanism: Bridging pre-training of individuality to multi-agent adversarial coordination
Comprehensive mining of information in Weakly Supervised Semantic Segmentation: Saliency semantics and edge semantics
Towards a rigorous analysis of mutual information in contrastive learning
Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout
Two forms of immediate reward reinforcement learning for exploratory data analysis
Memristor-based circuit design of BiLSTM network
An ADMM-LSTM framework for short-term load forecasting
Latent Dirichlet allocation based generative adversarial networks
Properties of incremental projection learning
Constructive higher-order network that is polynomial time
Disturbed Euler-Lagrange-based neurodynamic approach for nonsmooth noncooperative game with communication delay
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
Human-guided deep learning with ante-hoc explainability by convolutional network from non-image data for pregnancy prognostication
Angel or devil: Discriminating hard samples and anomaly contaminations for unsupervised time series anomaly detection
A neural network for pursuit tracking inspired by the fly visual system
Improving robustness by action correction via multi-step maximum risk estimation
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning
Adaptive frequency collaboration for remote sensing change detection
Function Emulation Using Radial Basis Function Networks
Collaborative twin actors framework using deep deterministic policy gradient for flexible batch processes
Neural Networks referees in 2001
Investigating the computational power of spiking neurons with non-standard behaviors
Exponential synchronization of stochastic Cohen-Grossberg neural networks with mixed time-varying delays and reaction-diffusion via periodically intermittent control
A neural network for the estimation of forces acting on radar targets
On equivalent parameter learning in simplified feature space based on Bayesian asymptotic analysis
Neural Engineering: Computation, Representation and Dynamics in Neurobiological Systems: Chris Eliasmith, Charles Anderson; MIT Press (December 2003), ISBN: 0262050714
Adaptive expert fusion model for online wind power prediction
Expertfuse: A huffman tree-based gradual expert integration framework for MoE models
Memristor standard cellular neural networks computing in the flux-charge domain
Effects of spike sorting error on the Granger causality index
Locality preserving score for joint feature weights learning
Here and now: How time segments may become events in the hippocampus
Multistability and attraction basins of discrete-time neural networks with nonmonotonic piecewise linear activation functions
Stability analysis of a three-term backpropagation algorithm
A distributed outstar network for spatial pattern learning
Regularization with a Pruning Prior
An RSVM based two-teachers-one-student semi-supervised learning algorithm
Neural network based tracking control of a flexible macro-micro manipulator system
RepAttn3D: Re-parameterizing 3D attention with spatiotemporal augmentation for video understanding
Iterative improvement of a nearest neighbor classifier
MultiverseAD: Enhancing spatial-temporal synchronous attention networks with causal knowledge for multivariate time series anomaly detection
A second-order accelerated neurodynamic approach for distributed convex optimization
Rapid decision threshold modulation by reward rate in a neural network
Shadow-DETR: Alleviating matching conflicts through shadow queries
Fixed-time synchronization for quaternion-valued memristor-based neural networks with mixed delays
Proper orthogonal decomposition based optimal neurocontrol synthesis of a chemical reactor process using approximate dynamic programming
Improved prediction of behavioral and neural similarity spaces using pruned DNNs
Associative learning in early vision
Exploring dual-view graph structures: Contrastive learning with graph and hypergraph for multivariate time series classification
IPCT-Net: Parallel information bottleneck modality fusion network for obstructive sleep apnea diagnosis
What is the doggest dog? Examination of typicality perception in ImageNet-trained networks
PLEASING: Exploring the historical and potential events for temporal knowledge graph reasoning
Tackling higher-order relations and heterogeneity: Dynamic heterogeneous hypergraph network for spatiotemporal activity prediction
ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism
Advancing interconnect density for spiking neural network hardware implementations using traffic-aware adaptive network-on-chip routers
A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality
Learning of associative memory networks based upon cone-like domains of attraction
The frustrated and compositional nature of chaos in small Hopfield networks
Embedding recurrent neural networks into predator-prey models
Common Optimization of Adaptive Preprocessing Units and a Neural Network during the Learning Period. Application in EEG Pattern Recognition
2DHeadPose: A simple and effective annotation method for the head pose in RGB images and its dataset
FFTNet: fNIRS-based frequency-enhanced patch network for driving fatigue detection
CompNet: Complementary network for single-channel speech enhancement
Progressive discretization for generative retrieval: A self-supervised approach to high-quality DocID generation
What has been learned from computational models of attention
Approximation of smooth functionals using deep ReLU networks
Identification of motifs with insertions and deletions in protein sequences using self-organizing neural networks
A pixel-based color image segmentation using support vector machine and fuzzy C -means
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks
Multi-view subspace clustering via adaptive graph learning and late fusion alignment
Blockwise compression of transformer-based models without retraining
Global asymptotical ω-periodicity of a fractional-order non-autonomous neural networks
GQEO: Nearest neighbor graph-based generalized quadrilateral element oversampling for class-imbalance problem
An Adversarial Time-Frequency Reconstruction Network for Unsupervised Anomaly Detection
SS-KAN: Self-supervised Kolmogorov-Arnold networks for limited data remote sensing semantic segmentation
Learning to reweight examples in multi-label classification
On the momentum term in gradient descent learning algorithms
A novel interactive deep cascade spectral graph convolutional network with multi-relational graphs for disease prediction
A nonnegative matrix factorization algorithm based on a discrete-time projection neural network
Motor contagion in young children: Exploring social influences on perception-action coupling
A framework for controllable Pareto front learning with completed scalarization functions and its applications
A discriminative multi-modal adaptation neural network model for video action recognition
Unsupervised Sentence Representation Learning with Frequency-induced Adversarial tuning and Incomplete sentence filtering
Neural memory plasticity for medical anomaly detection
Experimental demonstration of associative memory with memristive neural networks
On the global output convergence of a class of recurrent neural networks with time-varying inputs
Reply to the Comments on the "No-Prop" algorithm
Dual-decoder neural architecture with uncertainty-based task weighting for named entity recognition in injection molding defect diagnosis
Real-time synthesis of sparsely interconnected neural associative memories
How does the brain represent the semantic content of an image?
Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain-computer interface algorithms
Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation
Reply to Letter to the Editor
Building connectome analysis tools with representation learning on neuronal skeleton and circuit topology
Optimal approximation of piecewise smooth functions using deep ReLU neural networks
AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images
Developmental metaplasticity in neural circuit codes of firing and structure
A dual-stream deep attractor network with multi-domain learning for speech dereverberation and separation
Complexity distribution as a measure for assembly size and temporal precision
Dynamics of neural networks with a central element
Corrigendum to "MultiverseAD: Enhancing Spatial-Temporal Synchronous Attention Networks with Causal Knowledge for Multivariate Time Series Anomaly Detection" [Neural Networks 192 (2025) 107903]
A fully digital architecture for multi-state neural networks
New H∞ state estimation criteria of delayed static neural networks via the Lyapunov-Krasovskii functional with negative definite terms
A computational model of perceptual grouping and 3D surface completion in the mime effect
Spiking neural networks for handwritten digit recognition - Supervised learning and network optimization
Multilogistic regression by means of evolutionary product-unit neural networks
Premature Saturation in Backpropagation Networks: Mechanism and Necessary Conditions
Graph neural networks for fMRI functional brain networks: A survey
Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging
Fast Second Order Learning Algorithm for Feedforward Multilayer Neural Networks and its Applications
Mean-square stabilization of impulsive neural networks with mixed delays by non-fragile feedback involving random uncertainties
Pinning-controlled synchronization of delayed neural networks with distributed-delay coupling via impulsive control
Generalized neuron: Feedforward and recurrent architectures
Joint generative and alignment adversarial learning for robust incomplete multi-view clustering
Constructive function-approximation by three-layer artificial neural networks
Spatially-enhanced Spiking neural network for efficient point cloud analysis
Fuzzy symbolic convergent cross mapping: A causal coupling measure for EEG signals in disorders of consciousness patients
Spatio-temporal associative memory and a high-order correlation neuronal network
A subgraph-representation-based method for answering complex questions over knowledge bases
A deep connectome learning network using graph convolution for connectome-disease association study
Neuronal population oscillations of rat hippocampus during epileptic seizures
Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem
CSCL: Bridging the plasticity-stability gap in continuous supervised contrastive learning
Any region can be perceived equally and effectively on rotation pretext task using full rotation and weighted-region mixture
Multi-spectral attention and graph smoothness enhancement for generalized node classification
Enhanced automatic artifact detection based on independent component analysis and Renyi's entropy
CEGAT: A CNN and enhanced-GAT based on key sample selection strategy for hyperspectral image classification
Genetic high-gain controller to improve the position perturbation attenuation and compact high-gain controller to improve the velocity perturbation attenuation in inverted pendulums
Linear programming algorithm for neural networks
A new switching design to finite-time stabilization of nonlinear systems with applications to neural networks
Evolution and generalization of a single neurone: : II. Complexity of statistical classifiers and sample size considerations
Time series modeling by a regression approach based on a latent process
Neocognitron with dual C-cell layers
Efficient Perturbation Inference and Expandable Network for continual learning
Dynamic sparse coding-based value estimation network for deep reinforcement learning
Multimodal communication in animals, humans and robots: An introduction to perspectives in brain-inspired informatics
Fuzzy bifocal disambiguation for partial multi-label learning
Event-based 3D reconstruction from neuromorphic retinas
Zero-lag synchronous dynamics in triplets of interconnected cortical areas
Self-organizing maps with dynamic learning for signal reconstruction
Global eponential stability of cellular neural networks with time-varying coefficients and delays
Evolving artificial neural networks with feedback
Statistical pattern recognition with neural networks
Architecture and dynamics of the primate prefrontal cortical circuit for spatial working memory
Analysis of hidden units in a layered network trained to classify sonar targets
Robust synchronization of reaction-diffusion memristive neural networks with parameter uncertainties and general couplings
Recurrent neural network modeling of nearshore sandbar behavior
ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network
Bifurcating neuron: computation and learning
Learning fuzzy decision trees
Special issue on echo state networks and liquid state machines
Neural classifier construction using regularization, pruning and test error estimation
Memory-efficient Transformer-based network model for Traveling Salesman Problem
LCA-Med: A lightweight cross-modal adaptive feature processing module for detecting imbalanced medical image distribution
GT-LSTM: A spatio-temporal ensemble network for traffic flow prediction
Disentangled contrastive learning for fair graph representations
A model of contextual interactions and contour detection in primary visual cortex
Approximations of Functions by a Multilayer Perceptron: a New Approach
Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators
2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism
Predictive hierarchical reinforcement learning for path-efficient mapless navigation with moving target
Biologically relevant neural network architectures for support vector machines
Adaptive control of dynamic systems by back propagation networks
Enhanced robust spatial feature selection and correlation filter learning for UAV tracking
Enhancing target speaker extraction with Hierarchical Speaker Representation Learning
Multistability and multiperiodicity in impulsive hybrid quaternion-valued neural networks with mixed delays
A network model for the optic flow computation of the MST neurons
Cycle contrastive adversarial learning with structural consistency for unsupervised high-quality image deraining transformer
Short-term synaptic plasticity expands the operational range of long-term synaptic changes in neural networks
A comparative analysis of support vector machines and extreme learning machines
A mathematical analysis of the development of oriented receptive fields in Linsker's model
Stability analysis of Cohen-Grossberg neural networks of neutral-type: Multiple delays case
Stationary points of a single-layer perceptron for nonseparable data models
Leveraging joint incremental learning objective with data ensemble for class incremental learning
MDSFD-Net: Alzheimer's disease diagnosis with missing modality via disentanglement learning and feature distillation
Back propagation for perspective-invariant pattern recognition in sar imagery
Physics-informed neural wavefields with Gabor basis functions
Adaptive critic designs for optimal control of uncertain nonlinear systems with unmatched interconnections
Research on a learning rate with energy index in deep learning
Architectural and Markovian factors of echo state networks
Bipartite synchronization for inertia memristor-based neural networks on coopetition networks
Robust stability of stochastic delayed additive neural networks with Markovian switching
Tensor neural networks for high-dimensional Fokker-Planck equations