yusuke1997/dblp-id-title huggingface dataset:
Relaxed conditions for radial-basis function networks to be universal approximators
A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection
On the neural substrates for exploratory dynamics in basal ganglia: A model
Advances in Cognitive Engineering Using Neural Networks
Symbolic function network
The V1-V2-V3 complex: quasiconformal dipole maps in primate striate and extra-striate cortex
Learning a discriminant graph-based embedding with feature selection for image categorization
A neural network approach to speech recognition
Graph transform learning
The recursive deterministic perceptron neural network
Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
An interaction-modeling mechanism for context-dependent Text-to-SQL translation based on heterogeneous graph aggregation
Increased rates of convergence through learning rate adaptation
On minimal representations of shallow ReLU networks
The rise of machine consciousness: Studying consciousness with computational models
Event-based master-slave synchronization of complex-valued neural networks via pinning impulsive control
Probabilistic memory auto-encoding network for abnormal behavior detection in surveillance video
Adaptive coupling of inferior olive neurons in cerebellar learning
Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks
A survey on neuro-mimetic deep learning via predictive coding
Learning to Generate Tips from Song Reviews
Learning to solve combinatorial optimization problems with heterophily
CONet: Crowd and occlusion-aware network for occluded human pose estimation
Davidon least squares-based learning algorithm for feedforward neural networks
Sequential vessel segmentation via deep channel attention network
RL-I2IT: Image-to-image translation with deep reinforcement learning
STARFormer: A novel spatio-temporal aggregation reorganization transformer of FMRI for brain disorder diagnosis
An Efficient Method to Construct a Radial Basis Function Neural Network Classifier
Introduction: Spiking Neurons in Neuroscience and Technology
Open-world semi-supervised relation extraction
DRTN: Dual Relation Transformer Network with feature erasure and contrastive learning for multi-label image classification
Valuation of uncertain and delayed rewards in primate prefrontal cortex
Learning functional brain networks with heterogeneous connectivities for brain disease identification
Clothing-invariant contrastive learning for unsupervised person re-identification
Image-based velocity estimation of rock using Convolutional Neural Networks
Cellular computational generalized neuron network for frequency situational intelligence in a multi-machine power system
An extrapolation-driven network architecture for physics-informed deep learning
Bipartite synchronization of delayed competitive-cooperative inertial neural networks: A sign-compensation plus event-triggered controller
The symmetric adaptive resonance theoretic model (SMART)
Neural mechanisms of selection and control of visually guided eye movements
An efficient learning algorithm for improving generalization performance of radial basis function neural networks
The gamma model--A new neural model for temporal processing
Semantic prioritization in visual counterfactual explanations with weighted segmentation and auto-adaptive region selection
Echo state networks with filter neurons and a delay&sum readout
Dilated memory in hierarchical reinforcement learning for long-horizontal task
A unified dual-view knowledge-guided sentiment interaction networks for aspect-based sentiment analysis
Neural networks for the peak-picking of nuclear magnetic resonance spectra
Exploring unified cross-view hypergraph generation for multi-view semi-supervised classification
Gabor-enhanced physics-informed neural networks for fast simulations of acoustic wavefields
Models for simulation of real neural networks
Mapping neural network derived from the parzen window estimator
On-line Supervised Adaptive Training Using Radial Basis Function Networks
Stochastic sampled-data control for state estimation of time-varying delayed neural networks
Multimodal learning rebalanced: Negative correlation ensembles for improved performance
Synchronization of impulsive coupled complex-valued neural networks with delay: The matrix measure method
Principal whitened gradient for information geometry
Nonlinear neural networks: Principles, mechanisms, and architectures
Structured sparse linear graph embedding
A one-layer recurrent neural network for constrained nonsmooth invex optimization
A neural support vector machine
Iterative fast orthogonal search algorithm for MDL-based training of generalized single-layer networks
A new approach for global controllability of higher order Boolean control network
V4 receptive field dynamics as predicted by a systems-level model of visual attention using feedback from the frontal eye field
Enhancing few-shot image classification through learnable multi-scale embedding and attention mechanisms
Global exponential stability of octonion-valued neural networks with leakage delay and mixed delays
PSD-ELGAN: A pseudo self-distillation based CycleGAN with enhanced local adversarial interaction for single image dehazing
Adaptive exponential synchronization of complex-valued Cohen-Grossberg neural networks with known and unknown parameters
Models of MT and MST areas using wake-sleep algorithm
Oscillatory network controlling six-legged locomotion: Optimization of model parameters
Nonstationary lattice quantization by a self-organizing neural network
PyPIMalDet: A malicious PyPI package detection method combining code features and metadata features
Generalized M-sparse algorithms for constructing fault tolerant RBF networks
Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices
Maximum margin and global criterion based-recursive feature selection
Multivariate time-series classification with hierarchical variational graph pooling
MoGL: A mixture of heterogeneous experts for collaborative graph learning
Improved weight initialization for deep and narrow feedforward neural network
Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences
Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition
PointCore: An efficient framework for unsupervised point cloud anomaly detection using joint local-global features
Multi-representation adaptation network for cross-domain image classification
Unsupervised feature extraction by low-rank and sparsity preserving embedding
Some neural networks compute, others don't
Biomimetic gaze stabilization based on feedback-error-learning with nonparametric regression networks
A novel network for nonlinear modeling of neural systems with arbitrary point-process inputs
Synchrony: A spiking-based mechanism for processing sensory stimuli
TD-HCN: A trend-driven hypergraph convolutional network for stock return prediction
Response to letter by N. Weymaere
A generative adversarial network approach to (ensemble) weather prediction
Concept-enhanced heterogeneous graph network for fact verification
CILF-CIAE: CLIP-driven image-language fusion for correcting inverse age estimation
Modular learning models in forecasting natural phenomena
Support vector machine with Dirichlet feature mapping
A scaled conjugate gradient algorithm for fast supervised learning
PSAR-SR: Patches separation and artifacts removal for improving super-resolution networks
Multi-scale multi-reception attention network for bone age assessment in X-ray images
Equivalence relation between the back propagation learning process of an FNN and that of an FNNG
Analog VLSI neuromorphic image acquisition and pre-processing systems
Learning in neural networks by using tangent planes to constraint surfaces
Collaborative-guided spectral abundance learning with bilinear mixing model for hyperspectral subpixel target detection
Learning matrix factorization with scalable distance metric and regularizer
A versatile Wavelet-Enhanced CNN-Transformer for improved fluorescence microscopy image restoration
Preserving specificity in federated graph learning for fMRI-based neurological disorder identification
Depth-consistent 3D Gaussian Splatting via physical defocus modeling and multi-view geometric supervision
Small sphere and large margin support tensor machines for imbalanced tensor data classification
Evolving neural networks to identify bent-double galaxies in the FIRST survey
FA-GCL: Feature-augmented graph contrastive learning method
Exponential stability of state-dependent impulsive Hopfield neural networks with beating phenomena
A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints
Causal importance of low-level feature selectivity for generalization in image recognition
Stability analysis of switched stochastic neural networks with time-varying delays
The KIV model of intentional dynamics and decision making
Neuroinformatics - Introduction
Propagation and control of stochastic signals through universal learning networks
Stable behavior in a recurrent neural network for a finite state machine
Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker
Redundancy-Adaptive Multimodal Learning for imperfect data
Coordinating Multi-Agent Reinforcement Learning via Dual Collaborative Constraints
Tf-GCZSL: Task-free generalized continual zero-shot learning
Novelty detection using products of simple experts--a potential architecture for embedded systems
Integrating support vector machines and neural networks
Intellectual assessment of amyotrophic lateral sclerosis using deep resemble forward neural network
Continual learning: A systematic literature review
Gradient aware adaptive quantization: Locally uniform quantization with learnable clipping thresholds for globally non-uniform weights
Developmental learning of complex syntactical song in the Bengalese finch: A neural network model
Functional multi-layer perceptron: a non-linear tool for functional data analysis
Programming neural networks
Intracortical functional connectivity during deep sleep reveals prosocial preferences
FedADMM-InSa: An inexact and self-adaptive ADMM for federated learning
Modelling multivariate spatio-temporal data with identifiable variational autoencoders
Cogent confabulation
Interaction-knowledge semantic alignment for recommendation
A Hierarchical Mixture-Of-Experts Framework for Few Labeled Node Classification
Multi-stage network for single image deblurring based on dual-domain window mamba
Complexity estimates based on integral transforms induced by computational units
An Adaptive Structure Neural Networks with Application to EEG Automatic Seizure Detection
Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning
Incorporating conditional random fields and active learning to improve sentiment identification
Deep brain stimulation and lag synchronization in a memristive two-neuron network
Two k-winners-take-all networks with discontinuous activation functions
Temporal spiking generative adversarial networks for heading direction decoding
Editorial for 2002: A Time of Exuberant Development
A large-scale neurocomputational model of spatial cognition integrating memory with vision
Investigation of color constancy with a neural network
Brain pathways for cognitive-emotional decision making in the human animal
Online sequential echo state network with sparse RLS algorithm for time series prediction
A life-long learning vector quantization approach for interactive learning of multiple categories
Synth-CLIP: Synthetic data make CLIP generalize better in data-limited scenarios
Self-spectral learning with GAN based spectral-spatial target detection for hyperspectral image
Basic theorem and global exponential stability of differential-algebraic neural networks with delay
CNER-Omni: A unified dynamic modality learning framework for Chinese named entity recognition across text and speech
Tree-structured neural networks: Spatiotemporal dynamics and optimal control
The Artificial Neural Twin - Process optimization and continual learning in distributed process chains
Representation properties of multilayer feedforward networks
Roughness prediction of asphalt pavement using FGM(1,1 - sin) model optimized by swarm intelligence and Markov chain
Relationship between orientation sensitivity and spatiotemporal receptive field structures of neurons in the cat lateral geniculate nucleus
Mathematical analysis of the Accordion Grating illusion: A differential geometry approach to introduce the 3D aperture problem
STMMOT: Advancing multi-object tracking through spatiotemporal memory networks and multi-scale attention pyramids
No mystery intended
Subject-independent mental state classification in single trials
Global exponential stability of interval general BAM neural networks with reaction-diffusion terms and multiple time-varying delays
Visual question generation for explicit questioning purposes based on target objects
ST-Tree with interpretability for multivariate time series classification
Acquisition and decay rates in synaptically coded memory
New conditions for global exponential stability of cellular neural networks with delays
Adaptive dynamic spatial-temporal graph convolutional neural network for traffic flow prediction
Spiking neural P systems with lateral inhibition
Optimization of space structures by neural dynamics
A novel one-layer neural network for solving quadratic programming problems
Gradient-aware learning for joint biases: Label noise and class imbalance
A model-based neural network for transient signal processing
Microcircuits - Their structure, dynamics and role for brain function
Metamodeling and the Critic-based approach to multi-level optimization
On-line learning in changing environments with applications in supervised and unsupervised learning
A biologically inspired auto-associative network with sparse temporal population coding
Implementing eigenvector methods/probabilistic neural networks for analysis of EEG signals
Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay
Adaptive neural-network-based sliding mode control of switching distributed delay systems with Markov jump parameters
Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel
A morphological perceptron with gradient-based learning for Brazilian stock market forecasting
Fluorescent pipettes for optically targeted patch-clamp recordings
Finite time convergence of pinning synchronization with a single nonlinear controller
Multi-scale Attention Convolutional Neural Network for time series classification
PDE-GANet: Partial differential equation discovery powered by adversarial learning
Synchronization of memristive neural networks with leakage delay and parameters mismatch via event-triggered control
Classification of clustered microcalcifications using a Shape Cognitron neural network
Neural speech enhancement with unsupervised pre-training and mixture training
A comprehensive assessment benchmark for rigorously evaluating deep learning image classifiers
Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO
Tensor SOM and tensor GTM: Nonlinear tensor analysis by topographic mappings
Deep temporal representation learning for language identification
A deep belief network with PLSR for nonlinear system modeling
Coordinated machine learning and decision support for situation awareness
Simignore: Exploring and enhancing multimodal large model complex reasoning via similarity computation
Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay
Multilayer cluster neural network for totally unconstrained handwritten numeral recognition
Containment control for fractional-order networked system with intermittent sampled position communication
Key role of voltage-dependent properties of synaptic currents in robust network synchronization
A simple and reliable instance selection for fast training support vector machine: Valid Border Recognition
Computer simulation of cortical polymaps: A proto-column algorithm
Spreading activation layers, visual saccades, and invariant representations for neural pattern recognition systems
A feature refinement and adaptive generative adversarial network for thermal infrared image colorization
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game
An information-theoretic analysis of return maximization in reinforcement learning
Dynamic behaviour of a model of the muscle stretch reflex
Emergence of sequence sensitivity in a hippocampal CA3-CA1 model
EEG based multi-class seizure type classification using convolutional neural network and transfer learning
Minimal neuroanatomy for a conscious brain: Homing in on the networks constituting consciousness
Adaptive set-level metric for few-Shot image classification
Approximation of continuous functions on R d by linear combinations of shifted rotations of a sigmoid function with and without scaling
Meta-structure-based graph attention networks
Mapping of neural networks onto the memory-processor integrated architecture
Chemical synaptic and gap junctional interactions between principal neurons: Partners in epileptogenesis
A unified algorithm for principal and minor components extraction
R n + -global stability of a Cohen-Grossberg neural network system with nonnegative equilibria
Solving the non-submodular network collapse problems via Decision Transformer
Dual self-paced multi-view clustering
Unsupervised Bidirectional Contrastive Reconstruction and Adaptive Fine-Grained Channel Attention Networks for image dehazing
FedPPD: Towards effective subgraph federated learning via pseudo prototype distillation
Hypothesis spaces for deep learning
Extreme neural machines
Derivation of the multilayer perceptron weight constraints for direct network interpretation and knowledge discovery
Rescaled three-mode principal component analysis: An approach to subspace recovery
On impulsive autoassociative neural networks
ExGAT: Context extended graph attention neural network
A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer's Disease involving data synthesis
Light-adaptive architectures for regularization vision chips
Low-variance Forward Gradients using Direct Feedback Alignment and momentum
Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering
A reliable anchor regenerative-based transformer model for x-small and dense objects recognition
Response to letter by Q. Hu and D. B. Hertz
Temporal multi-modal knowledge graph generation for link prediction
Entity replacement strategy for temporal knowledge graph query relaxation
Theory of deep convolutional neural networks II: Spherical analysis
Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors
Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography
Error-correcting neural networks
Machine learning approaches for estimation of prediction interval for the model output
A systematic study of the class imbalance problem in convolutional neural networks
A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction
Efficient perceptron learning using constrained steepest descent
Combining various training and adaptation algorithms for ensemble few-shot classification
Dilated projection correction network based on autoencoder for hyperspectral image super-resolution
Three-Dimensional target recognition via sonar: A neural network model
Model-wise and point-wise random sample consensus for robust regression and outlier detection
α -stability and α -synchronization for fractional-order neural networks
State estimation for a class of artificial neural networks with stochastically corrupted measurements under Round-Robin protocol
Neurolinguistic approach to natural language processing with applications to medical text analysis
Adversarial orthogonal regression: Two non-linear regressions for causal inference
Stability analysis for uncertain switched neural networks with time-varying delay
Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization
The performance verification of an evolutionary canonical particle swarm optimizer
DDGC: A diffusion-based approach for dynamic graph clustering
Novel deep neural network based pattern field classification architectures
Joint computation offloading and resource allocation for end-edge collaboration in internet of vehicles via multi-agent reinforcement learning
Optimization of population decoding with distance metrics
A general debiasing framework with counterfactual reasoning for multimodal public speaking anxiety detection
Optimal synchronization with L2-gain performance: An adaptive dynamic programming approach
Oscillatory model of attention-guided object selection and novelty detection
Fast computation of a gated dipole field
Multi-scale feature selection network for lightweight image super-resolution
Sampled-data synchronization of complex network based on periodic self-triggered intermittent control and its application to image encryption
State-space modeling in long sequence processing: a survey on recurrence in the transformer era
Ternary spike-based neuromorphic signal processing system
Extracting cardiac dynamics within ECG signal for human identification and cardiovascular diseases classification
A knowledge-based learning framework for self-supervised pre-training towards enhanced recognition of biomedical microscopy images
Low-power and lightweight spiking transformer for EEG-based auditory attention detection
A Continuous-Time Asynchronous Boltzmann Machine
The Growing Curvilinear Component Analysis (GCCA) neural network
Mining core information by evaluating semantic importance for unpaired image captioning
Prototypes as Anchors: Tackling Unseen Noise for online continual learning
Center-enhanced video captioning model with multimodal semantic alignment
Passivity analysis of delayed reaction-diffusion memristor-based neural networks
The stability of sustained oscillations in symmetric cooperative-competitive networks
Semi-supervised segmentation on medical images with pseudo label calibration and neural process
Self-organization in the one-dimensional SOM with a decreasing neighborhood
Imaging and neural modelling in episodic and working memory processes
Uni-image: Universal image construction for robust neural model
Multi-agent based optimal equilibrium selection with resilience constraints for traffic flow
Finite-time resilient H∞ state estimation for discrete-time delayed neural networks under dynamic event-triggered mechanism
Performance analysis of LVQ algorithms: A statistical physics approach
Homeostatic synaptic scaling in self-organizing maps
LLM-augmented entity alignment: an unsupervised and training-free framework
Domain adaptive underwater object detection via complementary style-aware learning
Single-trial classification of vowel speech imagery using common spatial patterns
Defining a neural network controller structure for a rubbertuator robot
Periodicity and stability for variable-time impulsive neural networks
Democratizing large language model-based graph data augmentation via latent knowledge graphs
Heterogeneous Graph Embedding with Dual Edge Differentiation
PSA-GNN: An augmented GNN framework with priori subgraph knowledge
SuperFormer: Continual learning superposition method for text classification
Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDP
Lag H∞ synchronization in coupled reaction-diffusion neural networks with multiple state or derivative couplings