yusuke1997/dblp-id-title huggingface dataset:
Leveraging neighborhood distance awareness for entity alignment in temporal knowledge graphs
Accurate on-line v-support vector learning
Counterfactual learning for higher-order relation prediction in heterogeneous information networks
CosELU: An improved activation deep neural network for EEG signal recognition in stroke patients
Vision-guided navigation using SHOSLIF
A generalized feedforward neural network architecture for classification and regression
Stochastic error whitening algorithm for linear filter estimation with noisy data
Hybrid neuro-heuristic methodology for simulation and control of dynamic systems over time interval
MC-HSTA: A multi-source cross-domain hybrid spatio-temporal attention network for traffic flow prediction
Effect of dilution in asymmetric recurrent neural networks
Continual source-free active domain adaptation for nasopharyngeal carcinoma tumor segmentation across multiple hospitals
Kafnets: Kernel-based non-parametric activation functions for neural networks
Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise
Performance metrics for online seizure prediction
A learning scheme for dynamic neural networks: Equilibrium manifold and connective stability
Eigenspace Separation of Autocorrelation Memory Matrices for Capacity Expansion
Fuzzy wavelet plus a quantum neural network as a design base for power system stability enhancement
Creating artificial neural networks that generalize
A methodology to explain neural network classification
Synchronization of neural networks with and without disturbance input via control Lyapunov function
Embedding topological features into convolutional neural network salient object detection
BalanceHRNet: An effective network for bottom-up human pose estimation
Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation
Motion induced transformations of spatial representations: Mapping 3d information onto 2d
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons
Mapping hierarchical neural networks to VLSI hardware
DGCNN: A convolutional neural network over large-scale labeled graphs
Image denoising using self-organizing map-based nonlinear independent component analysis
A high performance k-NN approach using binary neural networks
DEFAnet--A deterministic neural network concept for function approximation
Connectivity and complexity: the relationship between neuroanatomy and brain dynamics
A study of scaling and generalization in neural networks
Align then clip: Refining graph for face clustering
Cross-view discrepancy-driven dynamic weighting for missing view completion in incomplete multi-view clustering
Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks
Estimating Learning Curves of Concept Learning
Geometry-driven self-supervision for 3D human pose estimation
Mathematical analysis of a correlation-based model for orientation map formation
Entropy factor for randomness quantification in neuronal data
Hopfield neural networks with diverse activation functions: impact of variable action gradients and electromagnetic radiation effects
Adversarial attacks and defenses using feature-space stochasticity
Searching the sky with CONFIGR-STARS
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers
Secure impulsive tracking of multi-agent systems with directed hypergraph topologies against hybrid deception attacks
Particle swarm optimization for network-based data classification
Comparing fixed and variable-width Gaussian networks
An integrative theory of the phasic and tonic modes of dopamine modulation in the prefrontal cortex
Unsupervised and semi-supervised domain adaptation networks considering both global knowledge and prototype-based local class information for Motor Imagery Classification
Twin support vector machine with Universum data
Large language modeling of hallucinatory problem mitigation based on the wheel of emotions
Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines
Domain-guided conditional diffusion model for unsupervised domain adaptation
HiMul-LGG: A hierarchical decision fusion-based local-global graph neural network for multimodal emotion recognition in conversation
A model of active visual search with object-based attention guiding scan paths
Storing cycles in Hopfield-type networks with pseudoinverse learning rule: Admissibility and network topology
Parameter Adaptive Contrastive Hashing for multimedia retrieval
ARCNN framework for multimodal infodemic detection
Cortical circuits for top-down control of perceptual grouping
Budget constrained non-monotonic feature selection
Synchronization stability and firing transitions in two types of class I neuronal networks with short-term plasticity
A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers
Mechanisms producing time course of cerebellar long-term depression
Addiction beyond pharmacological effects: The role of environment complexity and bounded rationality
Learning in fully recurrent neural networks by approaching tangent planes to constraint surfaces
Optimization of epilepsy detection method based on dynamic EEG channel screening
Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control
Adaptively trigger memory network with temporal consistency for semi-supervised long video object segmentation
Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs)
Distributed learning for sketched kernel regression
Time series trend detection and forecasting using complex network topology analysis
Graph Neural Network contextual embedding for Deep Learning on tabular data
ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection
Stability of fixed points and periodic orbits and bifurcations in analog neural networks
Weighted contrastive divergence
Studies on object recognition from degraded images using neural networks
Correlations in high dimensional or asymmetric data sets: Hebbian neuronal processing
Biologically motivated learning method for deep neural networks using hierarchical competitive learning
Computational intelligence in earth sciences and environmental applications: Issues and challenges
Learning from history for personalized federated learning
Classification of patterns using a self-organizing neural network
A new hyperbox selection rule and a pruning strategy for the enhanced fuzzy min-max neural network
Multi-view projected clustering with graph learning
Consistency of posterior distributions for neural networks
A loss function approach to model selection in nonlinear principal components
Perception through visuomotor anticipation in a mobile robot
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images
DeforT: Deformable transformer for visual tracking
Noise model based v-support vector regression with its application to short-term wind speed forecasting
Common stochastic inputs induce neuronal transient synchronization with partial reset
Bifurcations of a delayed fractional-order BAM neural network via new parameter perturbations
Convergence analysis of AdaBound with relaxed bound functions for non-convex optimization
Bayesian model selection for mining mass spectrometry data
Imitating the oracle: Towards calibrated model for class incremental learning
Addressing unreliable local models in federated learning through unlearning
Grid topologies for the self-organizing map
Fuzzy least squares support vector machines for multiclass problems
Application of an ensemble technique based on singular spectrum analysis to daily rainfall forecasting
Set stabilization of logical control networks: A minimum node control approach
A unified model of rule-set learning and selection
A general framework for neural network models on censored survival data
Unifying complete and incomplete multi-view clustering through an information-theoretic generative model
SAR remote sensing image segmentation based on feature enhancement
Role of Itinerancy Among Attractors as Dynamical Map in Distributed Coding Scheme
Read, Eliminate, and Focus: A reading comprehension paradigm for distant supervised relation extraction
DynamicNet: A time-variant ODE network for multi-step wind speed prediction
FOESO-Net: A specific neural network for fast sensorless robot manipulator torque estimation
Robust auto-weighted projective low-rank and sparse recovery for visual representation
A transformer-based deep neural network model for SSVEP classification
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals
A minimal architecture for joint action
Reducing uncertainties in neural network Jacobians and improving accuracy of neural network emulations with NN ensemble approaches
An accelerated procedure for recursive feature ranking on microarray data
Diffusion-enhancement bilayer: Realizing long-range apparent motion and spatiotemporal grouping in a neural architecture
Graph causal representation learning for out-of-distribution generalization
Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study
ARTSTREAM: a neural network model of auditory scene analysis and source segregation
The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns
Generative subgoal oriented multi-agent reinforcement learning through potential field
Symmetry discovery for different data types
Feature fusion via Deep Random Forest for facial age estimation
Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information
Adaptive balancing of exploration and exploitation around the edge of chaos in internal-chaos-based learning
A new learning paradigm for random vector functional-link network: RVFL+
Sequential recommendation via agent-based irrelevancy skipping
DFCL: Dual-pathway fusion contrastive learning for blind single-image visible watermark removal
Bifurcation analysis on a two-neuron system with distributed delays in the frequency domain
Using top-down modulation to optimally balance shared versus separated task representations
Neural network models for pattern recognition and associative memory
Parameter setting of the Hopfield network applied to TSP
Fast writer adaptation with style extractor network for handwritten text recognition
Salient object detection in low-light RGB-T scene via spatial-frequency cues mining
Neural closure associative processor
An adaptive embedding procedure for time series forecasting with deep neural networks
Span-based few-shot event detection via aligning external knowledge
Reinforcement learning-based consensus control for MASs with intermittent constraints
Realtime cerebellum: A large-scale spiking network model of the cerebellum that runs in realtime using a graphics processing unit
Predefined-time synchronization of competitive neural networks
New passivity criteria for neural networks with time-varying delay
MuDiS-GDA: Multiscale discriminative graph domain adaptation
A novel predefined-time neurodynamic approach for mixed variational inequality problems and applications
Recommendation via Collaborative Autoregressive Flows
Incremental learning for ν-Support Vector Regression
An end-to-end bi-objective approach to deep graph partitioning
A proximal neurodynamic model for solving inverse mixed variational inequalities
Analysis of the Recalling Processes of Associative Memory by an Integral Representation of the Sign Function
A theory of epineuronal memory
CSAST: Content self-supervised and style contrastive learning for arbitrary style transfer
On training networks of monostable multivibrator timer neurons
A CNN model embedded with local feature knowledge and its application to time-varying signal classification
Neural network control for a closed-loop System using Feedback-error-learning
Object class segmentation of RGB-D video using recurrent convolutional neural networks
Lee-Associator - a chaotic auto-associative network for progressive memory recalling
Modality independent adversarial network for generalized zero shot image classification
Algebraic transformations of objective functions
Weighing up the benefits of work: Behavioral and neural analyses of effort-related decision making
Pruning the ensemble of convolutional neural networks using second-order cone programming
MIEF-Net: multimodal image-enhanced fusion network for intelligent fall risk prediction
Multiple Mittag-Leffler stability of fractional-order competitive neural networks with Gaussian activation functions
Fixed-time adaptive neural network compensation control for uncertain nonlinear systems
Vulnerability of classifiers to evolutionary generated adversarial examples
Learning invariant object recognition from temporal correlation in a hierarchical network
One-step bipartite graph cut: A normalized formulation and its application to scalable subspace clustering
Predicting progression of Alzheimer's disease using forward-to-backward bi-directional network with integrative imputation
LFighter: Defending against the label-flipping attack in federated learning
Unsupervised distribution-aware keypoints generation from 3D point clouds
Learning and Approximation Capabilities of Adaptive Spline Activation Function Neural Networks
Zero time waste in pre-trained early exit neural networks
Adaptive control of dynamic systems by back propagation network
Multi-scale graph harmonies: Unleashing U-Net's potential for medical image segmentation through contrastive learning
Deep unsupervised feature selection by discarding nuisance and correlated features
A comparative study of autoregressive neural network hybrids
A novel nonlinear adaptive filter using a pipelined second-order Volterra recurrent neural network
A neural system as a dynamical model for early vision
New exponential synchronization criteria for time-varying delayed neural networks with discontinuous activations
AMHGCN: Adaptive multi-level hypergraph convolution network for human motion prediction
A neural model of timed response learning in the cerebellum
Dynamic Plasticity Influences the Emergence of Function in a Simple Cortical Array
Attention-based random forest and contamination model
Asynchronous dissipative stabilization for stochastic Markov-switching neural networks with completely- and incompletely-known transition rates
Multidomain active defense: Detecting multidomain backdoor poisoned samples via ALL-to-ALL decoupling training without clean datasets
Polyp image segmentation based on parallel dilated convolution and dual attention mechanisms
Structural deep multi-view clustering with integrated abstraction and detail
Computational model for neural representation of multiple disparities
Zonal function network frames on the sphere
An evaluation of standard retrieval algorithms and a binary neural approach
The MindGame: A P300-based brain-computer interface game
Divergence measures and a general framework for local variational approximation
GTC: GNN-Transformer co-contrastive learning for self-supervised heterogeneous graph representation
Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification
A super-resolution network for medical imaging via transformation analysis of wavelet multi-resolution
Consistency of HDP applied to a simple reinforcement learning problem
On motion detection through a multi-layer neural network architecture
Handling missing values in support vector machine classifiers
Fixed/Preassigned-time synchronization of quaternion-valued neural networks via pure power-law control
Pinning bipartite synchronization for coupled reaction-diffusion neural networks with antagonistic interactions and switching topologies
Reduced multivariate polynomial-based neural network for automated traffic incident detection
Self-paced regularized adaptive multi-view unsupervised feature selection
EBM-WGF: Training energy-based models with Wasserstein gradient flow
Towards more effective skill discovery in reinforcement learning by incorporating state reachability
A coordinate descent margin based-twin support vector machine for classification
Training high-performance and large-scale deep neural networks with full 8-bit integers
Improving the robustness of graph contrastive learning against adversarial attacks via hierarchical medoid-based contrasting
Face anti-spoofing with cross-stage relation enhancement and spoof material perception
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence
Low rank updated LS-SVM classifiers for fast variable selection
The impact of encoding-decoding schemes and weight normalization in spiking neural networks
Learning to learn with active adaptive perception
MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets
Rigid propagation of visual motion in the insect's neural system
Effects of infinite occurrence of hybrid impulses with quasi-synchronization of parameter mismatched neural networks
Multi-way backpropagation for training compact deep neural networks
"Artificial humans": Psychology and neuroscience perspectives on embodiment and nonverbal communication
Foundations of Wavelet Networks and Applications: S. Sitharama Iyengar, E. C. Cho, Vir V. Phoho; Chapman and Hall/CRC
Bayesian hypernetwork collaborates with time-difference evolutional network for temporal knowledge prediction
A decentralized training algorithm for Echo State Networks in distributed big data applications
Estimating the correlation between bursty spike trains and local field potentials
On the relationship between deterministic and probabilistic directed Graphical models: From Bayesian networks to recursive neural networks
Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality
Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks
Performance/price estimates for cortex-scale hardware: A design space exploration
Task guided representation learning using compositional models for zero-shot domain adaptation
Image and geometry processing with Oriented and Scalable Map
A Reinforcement Meta-Learning framework of executive function and information demand
Synchronization of nonidentical chaotic neural networks with time delays
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks
Towards efficient and accurate spiking neural networks via adaptive bit allocation
A novel learning algorithm which improves the partial fault tolerance of multilayer neural networks
A neural model of working memory processes in normal subjects, Parkinson's disease and schizophrenia for fMRI design and predictions
A theory of local learning, the learning channel, and the optimality of backpropagation
SDI applications of neural network technology
Quasi-projective and complete synchronization of fractional-order complex-valued neural networks with time delays
Fuzzy spatiotemporal event-triggered control for the synchronization of IT2 T-S fuzzy CVRDNNs with mini-batch machine learning supervision
MSDCNN: A multiscale dilated convolution neural network for fine-grained 3D shape classification
Online kernel selection for online multi-label classification
Learning the consensus and complementary information for large-scale multi-view clustering
Incremental acquisition of multiple nonlinear forward models based on differentiation process of schema model
Quantization Friendly MobileNet (QF-MobileNet) Architecture for Vision Based Applications on Embedded Platforms
Embedding and approximation theorems for echo state networks
State bounding for discrete-time switched genetic regulatory networks with time delay and exogenous disturbances
An information theoretic approach for combining neural network process models
Neural regulator design
Enhancing text-centric fake news detection via external knowledge distillation from LLMs
SpikeBERT: A language spikformer learned from BERT with knowledge distillation
Towards representation of a perceptual color manifold using associative memory for color constancy
Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment
Learning and inference in the brain
Deep self-supervised spatial-variant image deblurring
Impulsive synchronization of stochastic reaction-diffusion neural networks with mixed time delays
LGN-CNN: A biologically inspired CNN architecture
Global and multi-partition local network analysis of scalp EEG in West syndrome before and after treatment
Neural network operators: Constructive interpolation of multivariate functions
Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning
Adaptive estimation of instance-dependent noise transition matrix for learning with instance-dependent label noise
Simulation of signal flow in 3D reconstructions of an anatomically realistic neural network in rat vibrissal cortex
Learning in a competitive network
Learning multi-level topology representation for multi-view clustering with deep non-negative matrix factorization
Topographic map formation of factorized Edgeworth-expanded kernels
FPGA implementation of a stochastic neural network for monotonic pseudo-Boolean optimization
Double actor-critic with TD error-driven regularization in reinforcement learning
Self-organizing semantic maps and its application to word alignment in Japanese-Chinese parallel corpora
Multiple-input and multiple-output encoders with DNA-based winner-take-all neural Networks
Sequential processing by overlap and fatigue of memories
Commentary on the 'small network' argument
Biologically motivated cross-modality sensory fusion system for automatic target recognition
BDM-YOLOv8n: A high-performance model for accurate fire detection in aerial imagery
Unifying cost and information in information-theoretic competitive learning
To spike or not to spike: A probabilistic spiking neuron model
Consistent and robust determination of border ownership based on asymmetric surrounding contrast
An online trajectory guidance framework via imitation learning and interactive feedback in robot-assisted surgery
State evaluation functions and Lyapunov functions for neural networks
ART 3: Hierarchical search using chemical transmitters in self-organizing pattern recognition architectures
Optimal and robust design of brain-state-in-a-box neural associative memories
Improved fractional-order gradient descent method based on multilayer perceptron
Raw event-based adversarial attacks for Spiking Neural Networks with configurable latencies
Pairwise learning problems with regularization networks and Nyström subsampling approach
An improved Lyapunov functional with application to stability of Cohen-Grossberg neural networks of neutral-type with multiple delays
Spiking Neural Networks applied to the classification of motor tasks in EEG signals
Straight monotonic embedding of data sets in Euclidean spaces
RBP-DIP: Residual back projection with deep image prior for ill-posed CT reconstruction
Memory in linear recurrent neural networks in continuous time
Self-training EEG discrimination model with weakly supervised sample construction: An age-based perspective on ASD evaluation
A general analog solver of linear and quadratic programming in one step
Parallel orthogonal deep neural network
PhyTransformer: A unified framework for learning spatial-temporal representation from physiological signals
Learning coefficient dependence on training set size
Ionic current and metabolism for brain scanners (a three state-model of modular activation)
Implicit incremental natural actor critic algorithm
Self-organizing maps and clustering methods for matrix data
Analysis and visualization of gene expression data using Self-Organizing Maps