yusuke1997/dblp-id-title huggingface dataset:
An inertial neural network approach for robust time-of-arrival localization considering clock asynchronization
Quasi-synchronization for variable-order fractional complex dynamical networks with hybrid delay-dependent impulses
Local artifacts amplification for deepfakes augmentation
Image denoising using nonsubsampled shearlet transform and twin support vector machines
Automated tactics planning for cyber attack and defense based on large language model agents
MonoKAN: Certified monotonic Kolmogorov-Arnold network
Deep Tobit networks: A novel machine learning approach to microeconometrics
Adversarial parameter defense by multi-step risk minimization
Logical operation based fuzzy MLP for classification and rule generation
PromptSED: An evolving topic-enhanced prompting framework for incremental social event detection
Analysis and improvement of policy gradient estimation
Hebbian learning in linear-nonlinear networks with tuning curves leads to near-optimal, multi-alternative decision making
LAMSNN: Learnable adaptive modulation for artifact suppression in spiking underwater image enhancement networks
Behaving as or behaving as if? Children's conceptions of personified robots and the emergence of a new ontological category
Pattern storage and recall performance in a Hebb network generalizing the cerebral cortex
Fourier feature decorrelation based sample attention for dense crowd localization
Principal components, minor components, and linear neural networks
FPGA implementation of neuro-fuzzy system with improved PSO learning
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics
Persistent storage capability impairs decision making in a biophysical network model
Uncovering a stability signature of brain dynamics associated with meditation experience using massive time-series feature extraction
Modeling virtual organizations with Latent Dirichlet Allocation: A case for natural language processing
Multielectrode burst pattern feature extraction from mammalian networks in culture
Hybrid independent component analysis by adaptive LUT activation function neurons
Bayesian inverse problems with conditional Sinkhorn generative adversarial networks in least volume latent spaces
Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach
Principles for consciousness in integrated cognitive control
The adaptation of visual and auditory integration in the barn owl superior colliculus with Spike Timing Dependent Plasticity
Convergence of a self-organizing stochastic neural network
Physics guided neural networks for modelling of non-linear dynamics
MS23D: A 3D object detection method using multi-scale semantic feature points to construct 3D feature layer
Graph matching vs mutual information maximization for object detection
STDP-based spiking deep convolutional neural networks for object recognition
Tipping prediction of a class of large-scale radial-ring neural networks
A fast and adaptive automated disease diagnosis method with an innovative neural network model
CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection
General memristor with applications in multilayer neural networks
Channel reflection: Knowledge-driven data augmentation for EEG-based brain-computer interfaces
Sparse random feature maps for the item-multiset kernel
Modeling contextual modulation in the primary visual cortex
A hierarchical ART network for the stable incremental learning of topological structures and associations from noisy data
Image super-resolution with an enhanced group convolutional neural network
An embodied account of serial order: How instabilities drive sequence generation
Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples
Optimal approximation of square integrable functions by a flexible one-hidden-layer neural network of excitatory and inhibitory neuron pairs
On exploring node-feature and graph-structure diversities for node drop graph pooling
Lossless steganographic network via model arithmetic operations
Sinusoidal and monotonic transfer functions: Implications for VC dimension
Noncompact uniform universal approximation
Neural network for solving Nash equilibrium problem in application of multiuser power control
Neurocontroller using dynamic state feedback for compensatory control
Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances
Rule-extraction by backpropagation of polyhedra
Missing data imputation with adversarially-trained graph convolutional networks
Matrix measure based dissipativity analysis for inertial delayed uncertain neural networks
Neural net based MRAC for a class of nonlinear plants
Nonlinear Fisher discriminant analysis using a minimum squared error cost function and the orthogonal least squares algorithm
Pattern completion through phase coding in population neurodynamics
Hybrid interior point training of modular neural networks
Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method
Synchronization of hybrid coupled reaction-diffusion neural networks with time delays via generalized intermittent control with spacial sampled-data
Optimal H∞ tracking control of nonlinear systems with zero-equilibrium-free via novel adaptive critic designs
Improving local minima of Hopfield networks with augmented Lagrange multipliers for large scale TSPs
Gradient flow-based iterative pruning for efficient and high-quality lightweight diffusion models
Central pattern generating and recognizing in olfactory bulb: A correlation learning rule
A scalable second order optimizer with an adaptive trust region for neural networks
Adaptive behavior with stable synapses
Pan-sharpening via Symmetric Multi-Scale Correction-Enhancement Transformers
Person-by-person prediction of intuitive economic choice
Convergence results in an associative memory model
Contrastive representation learning on dynamic networks
Enhancing consistency and mitigating bias: A data replay approach for incremental learning
Reservoir computing with 3D nanowire networks
Hierarchical random cellular neural networks for system-level brain-like signal processing
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition
Towards a configurable and non-hierarchical search space for NAS
Continual learning with attentive recurrent neural networks for temporal data classification
Cross-modal dual subspace learning with adversarial network
Deconvolution using a CMAC neural network
Novel methods to global Mittag-Leffler stability of delayed fractional-order quaternion-valued neural networks
A digital neuromorphic system for working memory based on spiking neuron-astrocyte network
Performance Bounds for Single Layer Threshold Networks when Tracking a Drifting Adversary
G2BFNN: Generalized geodesic basis function neural network
Sample-efficient and occlusion-robust reinforcement learning for robotic manipulation via multimodal fusion dualization and representation normalization
Global exponential stability of impulsive complex-valued neural networks with both asynchronous time-varying and continuously distributed delays
Stochastic complexities of reduced rank regression in Bayesian estimation
Chaos-based reinforcement learning with TD3
Effects of Learning Parameters on Learning Procedure and Performance of a BPNN
The power of connectivity: Identity preserving transformations on visual streams in the spike domain
Contrastive cross-domain sequential recommendation via emphasized intention features
Evaluation of atmospheric Poaceae pollen concentration using a neural network applied to a coastal Atlantic climate region
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Physics-informed multi-output Gaussian process for dynamical system modeling
GMNI: Achieve good data augmentation in unsupervised graph contrastive learning
Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information
Modeling learned categorical perception in human vision
Adaptive dendritic plasticity in brain-inspired dynamic neural networks for enhanced multi-timescale feature extraction
MEGE: A mixed emotion graph model for empathetic dialogue generation
Nonlinear multi-view clustering for non-negative matrix factorization
Dominant preference decoupling and guided perturbed preference injection for cross-domain sequence recommendation
Corrigendum to "The unimodal model for the classification of ordinal data" [Neural Networks 21 (2008) 78-79]
Efficient construction of sparse radial basis function neural networks using L 1 -regularization
Image manipulation with natural language using Two-sided Attentive Conditional Generative Adversarial Network
Data-driven optimal tracking control for nonlinear systems with performance constraints via adaptive dynamic programming
An analysis of exponential stability of delayed neural networks with time varying delays
Recognizing emotions expressed by body pose: A biologically inspired neural model
An Analysis of Craniocentric and Oculocentric Coding Stages in a Neural Network Model of the Saccadic System
The interaction of attention and emotion
Explorations on artificial time perception
Network properties of a computational model of the dorsal raphe nucleus
Multi-site brain disease identification based on tensor decomposition and personalized federated learning
Superresolution with compound Markov random fields via the variational EM algorithm
Reversed and forward buffering of behavioral spike sequences enables retrospective and prospective retrieval in hippocampal regions CA3 and CA1
Neural network interpolation operators optimized by Lagrange polynomial
Computation of temporal pattern primitives in a neural net for speech recognition
Cardinality-constrained portfolio selection based on collaborative neurodynamic optimization
TV-Net: Temporal-Variable feature harmonizing Network for multivariate time series classification and interpretation
On the match tracking anomaly of the ARTMAP neural network
Kolmogorov n-widths for multitask physics-informed machine learning (PIML) methods: Towards robust metrics
A model of surround suppression through cortical feedback
Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results
Two-dimensional neural network model of the primate saccadic system
Generation, division and training: A promising method for source-free unsupervised domain adaptation
Deep Rival Penalized Competitive Learning for low-resolution face recognition
Relating Boltzmann machines to conventional models of computation
Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks
Prescribed-rate target tracking for time-delayed systems using output measurements
A border-ownership model based on computational electromagnetism
Recall of memory sequences by interaction of the dentate and CA3: A revised model of the phase precession
Incremental multi-view spectral clustering with sparse and connected graph learning
MSG: Stealing data from pruned neural networks via malicious sparsity guidance
Maximum likelihood optimal and robust Support Vector Regression with lncosh loss function
Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding
BalancerGNN: Balancer Graph Neural Networks for imbalanced datasets: A case study on fraud detection
Cortical circuits for perceptual inference
Learning from label proportions on high-dimensional data
An incremental community detection method for social tagging systems using locality-sensitive hashing
Expedited review process
FPANet: Frequency-based video demoiréing using frame-level post alignment
Fast computation of optimal paths in two- and higher-dimension maps
A novel fractional-order memristive Hopfield neural network for traveling salesman problem and its FPGA implementation
Topological biclustering ARTMAP for identifying within bicluster relationships
Neurodynamic approaches for multi-agent distributed optimization
Neocognitron and the Map Transformation Cascade
Two Strategies to Avoid Overfitting in Feedforward Networks
Finite-time consensus control for multi-agent systems with full-state constraints and actuator failures
A dual-region speech enhancement method based on voiceprint segmentation
Periodic event-triggered adaptive tracking control design for nonlinear discrete-time systems via reinforcement learning
Synchronization of recurrent neural networks with unbounded delays and time-varying coefficients via generalized differential inequalities
A neural network for enhancing boundaries and surfaces in synthetic aperture radar images
Investigation on Amari's dynamical neural field with global constant inhibition
Energy controls wave propagation in a neural network with spatial stimuli
Dataset-free weight-initialization on restricted Boltzmann machine
Progressive multi-branch video style transfer network via confidence reweighted projection
Bruno Breitmeyer and Haluk Ögmen, Visual Masking: Time Slices Through Conscious and Unconscious Vision, Oxford University Press (2006) ISBN 0-19-853067-6 $89.50
A Multi-Level Relation-Aware Transformer model for occluded person re-identification
A neural network model of Borderline Personality Disorder
Introduction to the special issue on 'Brain & Attention'
Experimental analysis of chaotic neural network models for combinatorial optimization under a unifying framework
ℓ1-gain filter design of discrete-time positive neural networks with mixed delays
Intelligence in the brain: A theory of how it works and how to build it
Correct reaction neural network
Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection
Synchronization of memristive neural networks with unknown parameters via event-triggered adaptive control
A smoothing neural network for minimization l1-lp in sparse signal reconstruction with measurement noises
Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis
Integrated Bayesian models of learning and decision making for saccadic eye movements
A fractional-order multi-delayed bicyclic crossed neural network: Stability, bifurcation, and numerical solution
Multistability of complex-valued neural networks with discontinuous activation functions
Hypergraph neural diffusion networks
Approximation of a function and its derivative with a neural network
Efficient information theoretic strategies for classifier combination, feature extraction and performance evaluation in improving false positives and false negatives for spam e-mail filtering
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization
Mitigating spectral bias in neural operators via high-frequency scaling for physical systems
Low precision decentralized distributed training over IID and non-IID data
Learning robot actions based on self-organising language memory
The capacity of k-gridgraphs as associative memory
3D graph neural network with few-shot learning for predicting drug-drug interactions in scaffold-based cold start scenario
Neural networks with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs
SCFMUNet: A fusion architecture based on multi-scale state space model and channel attention for medical image segmentation
Oriented principal component analysis for large margin classifiers
Two storage mechanisms in random network system: Probabilistic model of memory
Noiseless Diffusion-GAN: Scaling-based data augmentation for generative models
LIMA: Towards building a non-invasive and stealthy real-world adversarial attack model for traffic sign recognition systems
Enhancing partition distinction: A contrastive policy to recommendation unlearning
SCAN: A Scalable Model of Attentional Selection
LGS-KT: Integrating logical and grammatical skills for effective programming knowledge tracing
Semantic-guided compositional scene representation framework
Neurodynamics-driven portfolio optimization with targeted performance criteria
A simple cell model with dominating opponent inhibition for robust image processing
Synchronization control of memristor-based recurrent neural networks with perturbations
Pseudo-distribution elite critics: Enhancing accuracy in reinforcement learning value estimation
Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing
Decoding self-motion from visual image sequence predicts distinctive features of reflexive motor responses to visual motion
Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data
A functions localized neural network with branch gates
Topology-conserving maps for motor control
A model of task-specific focal dystonia
Joint learning of feature and topology for multi-view graph convolutional network
Automatic selection of spoken language biomarkers for dementia detection
Estimates on compressed neural networks regression
Burst denoising transformer with multi-task optical flow estimation
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images
Stability analysis of some delay differential inequalities with small time delays and its applications
Sequential safe static and dynamic screening rule for accelerating support tensor machine
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance
Finite-time synchronization of uncertain coupled switched neural networks under asynchronous switching
Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results
Robust kernel principal component analysis with optimal mean
Physiological interpretation of the Self-Organizing Map algorithm
Coexistence and local μ-stability of multiple equilibrium points for memristive neural networks with nonmonotonic piecewise linear activation functions and unbounded time-varying delays
Nonsmooth finite-time stabilization of neural networks with discontinuous activations
Improving the convergence of the back-propagation algorithm
MCNet: A multi-level context-aware network for the segmentation of adrenal gland in CT images
Self-organization in distributed operating system
A computational neural model of goal-directed utterance selection
A novel model on improving Chinese dialogue summarization with multi-perspective information enhancement
Context Sensitive Network for weakly-supervised fine-grained temporal action localization
Modeling the grid cell activity on non-horizontal surfaces based on oscillatory interference modulated by gravity
Transfer-RLS method and transfer-FORCE learning for simple and fast training of reservoir computing models
Representation learning for continuous action spaces is beneficial for efficient policy learning
Global exponential stability of delayed Hopfield neural networks
Quantum inspired PSO for the optimization of simultaneous recurrent neural networks as MIMO learning systems
Myopotential denoising of ECG signals using wavelet thresholding methods
MFC-ACL: Multi-view fusion clustering with attentive contrastive learning
Static pinning synchronization control of self-triggered coupling dynamical networks
The misbehavior of value and the discipline of the will
Novel criteria for global robust stability of dynamical neural networks with multiple time delays
Smooth dendrite morphological neurons
Balance guided incomplete multi-view spectral clustering
Label propagation via local geometry preserving for deep semi-supervised image recognition
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor
Adaptive indefinite kernels in hyperbolic spaces
The fifth anniversary of neural networks
Reinforcement learning-based funnel control and privacy preservation for multi-agent systems with input dead-zone
Recurrent neural networks as kinematics estimator and controller for redundant manipulators subject to physical constraints
Federated learning meets Bayesian neural network: Robust and uncertainty-aware distributed variational inference
Time-optimal open-loop set stabilization of Boolean control networks
An improved robust stability result for uncertain neural networks with multiple time delays
Intrinsic generalization analysis of low dimensional representations
Illumination-Guided progressive unsupervised domain adaptation for low-light instance segmentation
Self-attention fusion and adaptive continual updating for multimodal federated learning with heterogeneous data
Pinning impulsive synchronization for stochastic reaction-diffusion dynamical networks with delay
Discriminative multimodal learning via conditional priors in generative models
DDK: Dynamic structure pruning based on differentiable search and recursive knowledge distillation for BERT
Cross-situational learning of object-word mapping using Neural Modeling Fields
Stochastic resonance in noisy spiking retinal and sensory neuron models
eLoom and Flatland: specification, simulation and visualization engines for the study of arbitrary hierarchical neural architectures
Non parametric, self organizing, scalable modeling of spatiotemporal inputs: The sign language paradigm
Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning
A model study on the circuit mechanism underlying decision-making in Drosophila
A Fine-grained Hemispheric Asymmetry Network for accurate and interpretable EEG-based emotion classification
asKAN: Active subspace embedded Kolmogorov-Arnold network
Low dimensional approximation and generalization of multivariate functions on smooth manifolds using deep ReLU neural networks
Denoising cosine similarity: A theory-driven approach for efficient representation learning
IDMM-IDS: An efficient and robust intrusion detection system for the IoT based on the inverted Dirichlet mixture model
One or two minds? Neural network modeling of decision making by the unified self
A semi-supervised zero-shot image classification method based on soft-target
Compressed classification learning with Markov chain samples
A cascade associative memory model with a hierarchical memory structure
A fast conformal predictive system with regularized extreme learning machine
DiffMixer: A prediction model based on mixing different frequency features
LDCNet: Lightweight dynamic convolution network for laparoscopic procedures image segmentation
RKF-PCA: Robust kernel fuzzy PCA
Accelerating neural network training using weight extrapolations
Buried Plant Detection: A Volterra Series Modelling Approach Using Artificial Neural Networks
Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles
Generation of temporal sequences using local dynamic programming
Asynchronous dissipative filtering for nonhomogeneous Markov switching neural networks with variable packet dropouts
Stacked attention hourglass network based robust facial landmark detection
The hippocampo-cortical loop: Spatio-temporal learning and goal-oriented planning in navigation
A neural model of the mechanisms underlying infant perception of voice-onset time
GIMS: Image matching system based on adaptive graph construction and graph neural network
Spatial attention in area V4 is mediated by circuits in primary visual cortex
Adaptive pessimism via target Q-value for offline reinforcement learning
Genetic algorithm pruning of probabilistic neural networks in medical disease estimation
Contrastive message passing for robust graph neural networks with sparse labels
Generating post-hoc explanations for Skip-gram-based node embeddings by identifying important nodes with bridgeness
Learning from leading indicators to predict long-term dynamics of hourly electricity generation from multiple resources