yusuke1997/dblp-id-title huggingface dataset:
Visual-quality-driven unsupervised image dehazing
Synchronization and state estimation for discrete-time coupled delayed complex-valued neural networks with random system parameters
Multichannel approach to adaptive image restoration using the 2-D least squares algorithm
Loss of a Co-Editor-in-Chief and friend
Broad learning system via adaptive maximum weighted correntropy
Estimating coupling strength between multivariate neural series with multivariate permutation conditional mutual information
Inertial primal-dual projection neurodynamic approaches for constrained convex optimization problems and application to sparse recovery
A brain-inspired network architecture for cost-efficient object recognition in shallow hierarchical neural networks
Multi-view spectral clustering via common structure maximization of local and global representations
Differentiable self-supervised clustering with intrinsic interpretability
Feature flow regularization: Improving structured sparsity in deep neural networks
Balancing Learning Plasticity and Memory Stability: A parameter space strategy for class-incremental learning
Reservoir computing models based on spiking neural P systems for time series classification
Event prediction model combining ordinary differential equation and hypernetworks
Photonic deep residual time-delay reservoir computing
RIVA: Efficient relational inference with variate attention
ClsGAN: Selective Attribute Editing Model based on Classification Adversarial Network
Efficient global maximum likelihood estimation through kernel methods
A lightweight spiking neural network for EEG-based motor imagery classification
Semi-supervised learning for ordinal Kernel Discriminant Analysis
Monostable multivibrators as novel artificial neurons
Deep associative neural network for associative memory based on unsupervised representation learning
Trainable spectral difference learning with spatial starting for hyperspectral image denoising
Stability analysis of recurrent neural networks with piecewise constant argument of generalized type
Consciousness & the small network argument
MSC-transformer-based 3D-attention with knowledge distillation for multi-action classification of separate lower limbs
A modified fuzzy ARTMAP architecture for the approximation of noisy mappings
Predicting the directed acyclic graph based on feature extraction
Multi-level social network alignment via adversarial learning and graphlet modeling
Imbalanced low-rank tensor completion via latent matrix factorization
Adaptive resonance associative map
Precision Requirements for Closed-Loop Kinematic Robotic Control Using Linear Local Mappings
Representation learning using event-based STDP
On joint parameterizations of linear and nonlinear functionals in neural networks
Towards safer robot-assisted surgery: A markerless augmented reality framework
GIU-GANs: Global Information Utilization for Generative Adversarial Networks
EEGMamba: An EEG foundation model with Mamba
Comparing generalization by humans and adaptive networks
Single trial-based prediction of a go/no-go decision in monkey superior colliculus
Adaptive Relation-Aware Network for zero-shot classification
A unified and efficient training framework for open-ended non-transitive games
Graph embedding-based heterogeneous domain adaptation with domain-invariant feature learning and distributional order preserving
Top-down attention based on object representation and incremental memory for knowledge building and inference
Least mean square error reconstruction principle for self-organizing neural-nets
A brain-inspired computational model for spatio-temporal information processing
Cross-modal hashing with missing labels
Deep graph clustering via aligning representation learning
Using a million cell simulation of the cerebellum: Network scaling and task generality
SOM-based algorithms for qualitative variables
A neural network classifier for character recognition
The transfer function of neuron spike
Source-free time series domain adaptation with wavelet-based multi-scale temporal imputation
Computational study of depth completion consistent with human bi-stable perception for ambiguous figures
A practical sub-space adaptive filter
Neurocontrol for fixed-length trajectories in environments with soft barriers
A new Lyapunov functional for stability analysis of neutral-type Hopfield neural networks with multiple delays
A Fast Reduced Kernel Extreme Learning Machine
A two-level Hamming network for high performance associative memory
Neural transition system abstraction for neural network dynamical system models and its application to Computational Tree Logic verification
Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis
Robots, crickets and ants: models of neural control of chemotaxis and phonotaxis
Nine switch-affine neurons suffice for Turing universality
Global exponential estimates of delayed stochastic neural networks with Markovian switching
Are transformer-based models more robust than CNN-based models?
Decentralized adaptive neural control for high-order interconnected stochastic nonlinear time-delay systems with unknown system dynamics
ClickAttention: Click region similarity guided interactive segmentation
Convergence of the RMSProp deep learning method with penalty for nonconvex optimization
Temporal knowledge graphs forecasting based on explainable temporal relation tree-graph
Bipartite secure synchronization criteria for coupled quaternion-valued neural networks with signed graph
Enculturing brains through patterned practices
Partially multi-view clustering via re-alignment
Image denoising using deep CNN with batch renormalization
Data-free knowledge distillation via text-noise fusion and dynamic adversarial temperature
Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems
Subset-based training and pruning of sigmoid neural networks
Semi-supervised deep embedded clustering with pairwise constraints and subset allocation
Learning defense transformations for counterattacking adversarial examples
Delay-dependent multistability in recurrent neural networks
Fast synchronization of perceptual grouping in laminar visual cortical circuits
Conditioned Cooperative training for semi-supervised weapon detection
Post-training quantization for efficient ANN-SNN conversion
Three Centuries of Category Errors in Studies of the Neural Basis of Consciousness and Intentionality
Position-based anchor optimization for point supervised dense nuclei detection
A novel dynamic prescribed performance fuzzy-neural backstepping control for PMSM under step load
Training sparse least squares support vector machines by the QR decomposition
Learning in PINNs: Phase transition, diffusion equilibrium, and generalization
A deterministic annealing algorithm for approximating a solution of the linearly constrained nonconvex quadratic minimization problem
Asymptotic optimality of pattern recognition by regression analysis
Spatial context-aware user mention behavior modeling for mentionee recommendation
Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements
Neurodynamics of pattern recognition in biological neural networks
Boundary Mittag-Leffler stabilization of fractional reaction-diffusion cellular neural networks
Face image-sketch synthesis via generative adversarial fusion
Binocular robot vision emulating disparity computation in the primary visual cortex
A neurodynamic optimization approach to distributed nonconvex optimization based on an HP augmented Lagrangian function
ARAE: Adversarially robust training of autoencoders improves novelty detection
InfraNet: Accurate forehead temperature measurement framework for people in the wild with monocular thermal infrared camera
The role of coupling connections in a model of the cortico-basal ganglia-thalamocortical neural loop for the generation of beta oscillations
Investigation of the Crick-Mitchison reverse-learning dream sleep hypothesis in a dynamical setting
Toward generating neural network structures for function approximation
Explicit estimation of magnitude and phase spectra in parallel for high-quality speech enhancement
S3H: Long-tailed classification via spatial constraint sampling, scalable network, and hybrid task
D-MONA: A dilated mixed-order non-local attention network for speaker and language recognition
Neural operators for robust output regulation of hyperbolic PDEs
Micro-level dynamics of the online information propagation: A user behavior model based on noisy spiking neurons
Inference of hidden common driver dynamics by anisotropic self-organizing neural networks
Multi-scale locality preserving projection for partial multi-view incomplete multi-label learning
Learning to imitate stochastic time series in a compositional way by chaos
Self-association in multilayer linear networks with limited connectivity
Federated graph-level clustering network with adaptive knowledge compensation
Stability of discrete time recurrent neural networks and nonlinear optimization problems
Chaotic hopping between attractors in neural networks
Sparse solution of least-squares twin multi-class support vector machine using ℓ0 and ℓp-norm for classification and feature selection
When is approximation by Gaussian networks necessarily a linear process?
Fuzzy competitive learning
Gated dipoles for operant conditioning
Federated learning with randomized alternating direction method of multipliers and application in training neural networks
Effective metric learning with co-occurrence embedding for collaborative recommendations
Iterative improvement of a Gaussian classifier
Consensus multi-view spectral clustering network with unified similarity
Unsupervised visual learning of three-dimensional objects using a modular network architecture
Structural learning with forgetting
A collaborative neurodynamic approach with two-timescale projection neural networks designed via majorization-minimization for global optimization and distributed global optimization
Pulse-type hardware chaotic neuron model and its bifurcation phenomena
Constrained topological mapping for nonparametric regression analysis
Adaptive prescribed settling time periodic event-triggered control for uncertain robotic manipulators with state constraints
SCL: Self-supervised contrastive learning for few-shot image classification
A robust method for distinguishing between learned and spurious attractors
A review of evidence of health benefit from artificial neural networks in medical intervention
Learning deep representation and discriminative features for clustering of multi-layer networks
Control of a redundant articulated system by neural networks
PRformer: Pyramidal recurrent transformer for multivariate time series forecasting
The functional localization of neural networks using genetic algorithms
All by Myself: Learning individualized competitive behavior with a contrastive reinforcement learning optimization
Fast multi-view clustering via correntropy-based orthogonal concept factorization
BASeg: Boundary aware semantic segmentation for autonomous driving
Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors
Two fast and accurate heuristic RBF learning rules for data classification
HG2P: Hippocampus-inspired high-reward graph and model-free Q-gradient penalty for path planning and motion control
Modeling inferior olive neuron dynamics
Capped L2, p-norm metric based robust least squares twin support vector machine for pattern classification
MWTP: A heterogeneous multiplex representation learning framework for link prediction of weak ties
Evolutionary neurocontrollers for autonomous mobile robots
State estimation for stochastic delayed neural networks with diffusion terms: A two-step estimation method
Intelligent initialization of resource allocating RBF networks
End-to-end novel visual categories learning via auxiliary self-supervision
A regularization path algorithm for support vector ordinal regression
Improving model selection by nonconvergent methods
Attention modeled as information in learning multisensory integration
FedPD: Defending federated prototype learning against backdoor attacks
Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels
A visually guided collision warning system with a neuromorphic architecture
Attention-augmented multi-domain cooperative graph representation learning for molecular interaction prediction
A model of evolution and learning
End-to-end keyword search system based on attention mechanism and energy scorer for low resource languages
ARTMAP neural networks for information fusion and data mining: map production and target recognition methodologies
A spatial-spectral fusion convolutional transformer network with contextual multi-head self-attention for hyperspectral image classification
Measuring the usefulness of hidden units in Boltzmann machines with mutual information
Episodic Memory-Double Actor-Critic Twin Delayed Deep Deterministic Policy Gradient
Node injection for class-specific network poisoning
FDC: Feature Dropout Consistency for unsupervised domain adaptation semantic segmentation
Lie-Poisson Neural Networks (LPNets): Data-based computing of Hamiltonian systems with symmetries
A survey on few-shot class-incremental learning
Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations
Distributed multi-timescale algorithm for nonconvex optimization problem: A control perspective
On computational algorithms for real-valued continuous functions of several variables
Neural networks with ReLU powers need less depth
Learning to play Go using recursive neural networks
Reinforcement learning for automatic quadrilateral mesh generation: A soft actor-critic approach
Towards unified frameworks for fair and privacy-preserving graph neural networks
Continuous learning of spiking networks trained with local rules
BAT: Block and token self-attention for speech emotion recognition
Tensor wheel completion for visual data with sparsity and smoothness on latent space
Dual extended Kalman filtering in recurrent neural networks
A robust self-supervised image hashing method for content identification with forensic detection of content-preserving manipulations
Exploration and exploitation in continual learning
Complexity of brain-like signals in self-organised nanoscale networks
Convergence analysis of online gradient method for BP neural networks
Neural network emulator for atmospheric chemical ODE
Global exponential almost periodicity of a delayed memristor-based neural networks
Hybrid feedback feedforward: An efficient design of adaptive neural network control
Adaptation in spiking neurons based on the noise shaping neural coding hypothesis
Boundedness and stability for nonautonomous cellular neural networks with delay
Asymmetric Hopfield-type networks: Theory and applications
Spatial view cells in the hippocampus, and their idiothetic update based on place and head direction
Unified auxiliary restoration network for robust multimodal 3D object detection in adverse conditions
Adversarial purification with one-step guided diffusion model
Few-shot event-based action recognition
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective
Graph vector function architecture
Adaptive perceptual pattern recognition by self-organizing neural networks: Context, uncertainty, multiplicity, and scale
Multi-view clustering via multi-manifold regularized non-negative matrix factorization
Adaptive neural oscillator using continuous-time back-propagation learning
HFFTrack: Transformer tracking via hybrid frequency features
TSVR: An efficient Twin Support Vector Machine for regression
An invisible, robust copyright protection method for DNN-generated content
Semi-supervised classification and projection with adaptive flexible structure optimal graph
Extended Dynamic Mode Decomposition with Invertible Dictionary Learning
Event-triggered adaptive neural networks control for fractional-order nonstrict-feedback nonlinear systems with unmodeled dynamics and input saturation
Fourier-based adaptive counterfactual intervention for object re-identification
GDVIFNet: A generated depth and visible image fusion network with edge feature guidance for salient object detection
Working memory and response selection: A computational account of interactions among cortico-basalganglio-thalamic loops
Approximate kernel competitive learning
Separability of internal representations in multilayer perceptrons with application to learning
Measuring multivariate phase synchronization with symbolization and permutation
Nondeterministic adaptive automata that play matching pennies
Adaptive topological tree structure for document organisation and visualisation
Deterministic Autoencoder using Wasserstein loss for tabular data generation
Boosting the transferability of adversarial examples via stochastic serial attack
Hierarchical neural network with efficient selection inference
A computational model of conditioning inspired by Drosophila olfactory system
A boundedness result for the direct heuristic dynamic programming
"Collective coding": A mechanism to improve the signal/noise ratio of the retinal ganglion cell
Almost periodic quasi-projective synchronization of delayed fractional-order quaternion-valued neural networks
GFAM: Evolving Fuzzy ARTMAP neural networks
S3NN: Time step reduction of spiking surrogate gradients for training energy efficient single-step spiking neural networks
Goal-oriented robot navigation learning using a multi-scale space representation
Attentional states and the degree of visual adaptation to gratings
Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training
Accelerating backpropagation through dynamic self-adaptation
A dynamical model of visual motion processing for arbitrary stimuli including type II plaids
Multi-output parameter-insensitive kernel twin SVR model
Principal Component Analysis based on Nuclear norm Minimization
CSA-Kansformer : Cross-scale aggregation and Kansformer network for hyperspectral image classification
Sudoku associative memory
Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification
Fading memory echo state networks are universal
Joint feature selection and optimal bipartite graph learning for subspace clustering
Neural networks for robotic control
G-NeuroDAVIS: A generative model for data visualization through a generalized embedding
Deep learning based spectral CT imaging
A neural network model for the development of simple and complex cell receptive fields within cortical maps of orientation and ocular dominance
How to make sigma-pi neural networks perform perfectly on regular training sets
S-YOLO: An enhanced small object detection method based on adaptive gating strategy and dynamic multi-scale focus module
A syntactic evidence network model for fact verification
Sequence generation in arbitrary temporal patterns from theta-nested gamma oscillations: a model of the basal ganglia-thalamo-cortical loops
An asymptotic statistical analysis of support vector machines with soft margins
Fractional-order leaky integrate-and-fire model with long-term memory and power law dynamics
An interactive cortical architecture for perceptual organization by accentuation
Computational aspects of Kolmogorov's superposition theorem
Fixed-time synchronization of complex-valued neural networks for image protection and 3D point cloud information protection
A lightweight and gradient-stable neural layer
On neural architecture search and hyperparameter optimization: A max-flow based approach
Quantifying the reproducibility of graph neural networks using multigraph data representation
Regularization mechanisms of spiking-bursting neurons
An online supervised learning method based on gradient descent for spiking neurons
ST-FlowNet: An efficient Spiking Neural Network for event-based optical flow estimation
From modulated Hebbian plasticity to simple behavior learning through noise and weight saturation
Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation
Linkage on security, privacy and fairness in federated learning: New balances and new perspectives
BPGAN: Bidirectional CT-to-MRI prediction using multi-generative multi-adversarial nets with spectral normalization and localization
Broad learning system based on maximum multi-kernel correntropy criterion
Data-sampled time-varying formation for singular multi-agent systems with multiple leaders
Approximation bounds for convolutional neural networks in operator learning
A method for analysing neural computation using receptive fields in state space
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network
A generalized neural network for distributed nonsmooth optimization with inequality constraint
Novel conditions on exponential stability of a class of delayed neural networks with state-dependent switching
The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support
Cholinergic modulation of sensory representations in the olfactory bulb
Stability of generalized topographic mappings between cell layers through correlational learning
How to evaluate uncertainty estimates in machine learning for regression?
Hippocampal theta rhythms from a computational perspective: Code generation, mood regulation and navigation
Generation and annihilation of localized persistent-activity states in a two-population neural-field model
Pinning bipartite synchronization for inertial coupled delayed neural networks with signed digraph via non-reduced order method
Multistability of neural networks with discontinuous non-monotonic piecewise linear activation functions and time-varying delays
SHFormer: Dynamic spectral filtering convolutional neural network and high-pass kernel generation transformer for adaptive MRI reconstruction
Object Generation with Neural Networks (When Spurious Memories are Useful)
Random field and tonotopy: Simulation of an auditory neural network
Neural network formation in an aggregate of dissociate hydra cells
Hamiltonian dynamics of neural networks
Global Mittag-Leffler stability and synchronization of discrete-time fractional-order complex-valued neural networks with time delay
Real-time object tracking based on scale-invariant features employing bio-inspired hardware
Theoretical bounds of generalization error for generalized extreme learning machine and random vector functional link network
AAPMatcher: Adaptive attention pruning matcher for accurate local feature matching
Self-grouping convolutional neural networks
Kick-out learning algorithm to reduce the oscillation of weights
A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem
An LMI approach to global asymptotic stability of the delayed Cohen-Grossberg neural network via nonsmooth analysis
Adaptive learning via selectionism and Bayesianism, Part II: The sequential case
Delay-dependent stability analysis for continuous-time BAM neural networks with Markovian jumping parameters
Response to the letter by Li and Cao
Hierarchical classification of dynamically varying radar pulse repetition interval modulation patterns
When are two multi-layer cellular neural networks the same?
LU-mamba: LiDAR upsampling via bidirectional state space modeling on range images
SAMSnake: A generic contour-based instance segmentation network assisted by Efficient Segment Anything Model
Improving importance estimation in pool-based batch active learning for approximate linear regression
SIA: A sustainable inference attack framework in split learning
Empirical strategy for stretching probability distribution in neural-network-based regression
Regularized least squares locality preserving projections with applications to image recognition
Grasping detection of dual manipulators based on Markov decision process with neural network
Unfolding preprocessing for meaningful time series clustering