yusuke1997/dblp-id-title huggingface dataset:
A Review of Vehicle Detection Techniques for Intelligent Vehicles
Fast neural network ensemble learning via negative-correlation data correction
Wavelet-Based Dual-Task Network
Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control
Multiview Variational Sparse Gaussian Processes
Learning Capability of Relaxed Greedy Algorithms
Multistability of discrete-time recurrent neural networks with unsaturating piecewise linear activation functions
Supervised Learning in Neural Networks: Feedback-Network-Free Implementation and Biological Plausibility
Copula Variational LSTM for High-Dimensional Cross-Market Multivariate Dependence Modeling
Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach
View-Invariant Action Recognition Based on Artificial Neural Networks
3-D Laser-Based Multiclass and Multiview Object Detection in Cluttered Indoor Scenes
The effects of quantization on multilayer neural networks
Persistent Excitation of Improved RBF Neural Networks: Neuron Dynamic-Growing Strategy
A neural-network appearance-based 3-D object recognition using independent component analysis
Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions
Efficient Online Globalized Dual Heuristic Programming With an Associated Dual Network
Comments on "Adaptive Neural Control for a Class of Nonlinearly Parametric Time-Delay Systems"
Structured Learning of Tree Potentials in CRF for Image Segmentation
Contrastive Continual Multiview Clustering With Filtered Structural Fusion
Adaptive Synchronization of Reaction-Diffusion Neural Networks With Nondifferentiable Delay via State Coupling and Spatial Coupling
Fast Rates of Gaussian Empirical Gain Maximization With Heavy-Tailed Noise
Network-Based Stochastic Semisupervised Learning
A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training
Combination of artificial neural-network forecasters for prediction of natural gas consumption
Online Robust Low-Rank Tensor Modeling for Streaming Data Analysis
A Two-Layer Recurrent Neural Network for Nonsmooth Convex Optimization Problems
An Adaptive Learning Approach for 3-D Surface Reconstruction From Point Clouds
Filter Pruning by Switching to Neighboring CNNs With Good Attributes
Maximum entropy signal reconstruction with neural networks
Face recognition with radial basis function (RBF) neural networks
Object recognition of one-DOF tools by a back-propagation neural net
Learn to Supervise: Deep Reinforcement Learning-Based Prototype Refinement for Few-Shot Motor Fault Diagnosis
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss
Learning With Mixed Hard/Soft Pointwise Constraints
Distributed Optimization for Two Types of Heterogeneous Multiagent Systems
A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling
Self-Unaware Adversarial Multi-Armed Bandits With Switching Costs
Multiscale Support Vector Learning With Projection Operator Wavelet Kernel for Nonlinear Dynamical System Identification
Robust GRBF Static Neurocontroller With Switch Logic for Control of Robot Manipulators
Partial-Node-Based State Estimation for Delayed Complex Networks Under Intermittent Measurement Outliers: A Multiple-Order-Holder Approach
Kernel Recursive Least-Squares Tracker for Time-Varying Regression
Explicit Duration Recurrent Networks
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering
Object Detection With Physical Prior and AWConv in Foggy Weather for Traffic Scenes
Enhancing Domain Generalization in Medical Image Segmentation With Global and Local Prompts
Neural-Network-Based Event-Triggered Adaptive Control of Nonaffine Nonlinear Multiagent Systems With Dynamic Uncertainties
SIIR: Symmetrical Information Interaction Modeling for News Recommendation
Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniques
Different Complex ZFs Leading to Different Complex ZNN Models for Time-Varying Complex Generalized Inverse Matrices
Embracing Multiheterogeneity and Privacy Security Simultaneously: A Dynamic Privacy-Aware Federated Reinforcement Learning Approach
Delay-Distribution-Dependent Exponential Stability Criteria for Discrete-Time Recurrent Neural Networks With Stochastic Delay
On the Dynamics of Classification Measures for Imbalanced and Streaming Data
Exponential stability and oscillation of Hopfield graded response neural network
Extraordinarily Time- and Memory-Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain: From Shallow to Deep
Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface
Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data
Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route
Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues
Impulsive Control for Existence, Uniqueness, and Global Stability of Periodic Solutions of Recurrent Neural Networks With Discrete and Continuously Distributed Delays
LogDet Metric-Based Domain Adaptation
Dynamic recurrent neural networks: Theory and applications
Multiple View Clustering Using a Weighted Combination of Exemplar-Based Mixture Models
Nonstationary Source Separation Using Sequential and Variational Bayesian Learning
Graph Kernel Neural Networks
Neuroadaptive Control With Given Performance Specifications for MIMO Strict-Feedback Systems Under Nonsmooth Actuation and Output Constraints
A novel normalization technique for unsupervised learning in ANN
Continuous-Time Reinforcement Learning: New Design Algorithms With Theoretical Insights and Performance Guarantees
Semantic-Aware Dynamic Generation Networks for Few-Shot Human-Object Interaction Recognition
Efficient and Effective One-Step Multiview Clustering
Learning Graph Representations With Maximal Cliques
A Hierarchical Attention Network for Cross-Domain Group Recommendation
SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images
Understanding Short-Range Memory Effects in Deep Neural Networks
Effective Value Analysis of Fuzzy Similarity Relation in HQSS for Efficient Granulation
Effect of transmission delay on the rate of convergence of a class of nonlinear contractive dynamical systems
Advanced neural-network training algorithm with reduced complexity based on Jacobian deficiency
Kurtosis-Based CRTRL Algorithms for Fully Connected Recurrent Neural Networks
Joint Projection Learning and Tensor Decomposition-Based Incomplete Multiview Clustering
Vehicle and Person Re-Identification With Support Neighbor Loss
Practical Training Framework for Fitting a Function and Its Derivatives
Value and Policy Iterations in Optimal Control and Adaptive Dynamic Programming
Optoelectronic Systems Trained With Backpropagation Through Time
Input feature selection for classification problems
Information processing using dynamical chaos: neural networks implementation
Topographic map formation by maximizing unconditional entropy: a plausible strategy for "online" unsupervised competitive learning and nonparametric density estimation
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter
Fast Self-Supervised Clustering With Anchor Graph
FedGAMMA: Federated Learning With Global Sharpness-Aware Minimization
Self-Organizing Democratized Learning: Toward Large-Scale Distributed Learning Systems
Reconstruction of Adaptive Leaky Integrate-and-Fire Neuron to Enhance the Spiking Neural Networks Performance by Establishing Complex Dynamics
Multi Pseudo Q-Learning-Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles
Wavelet Probabilistic Neural Networks
Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection
A Robust Subspace Projection Autoassociative Memory Based on the M-Estimation Method
Discriminative Projected Clustering via Unsupervised LDA
Metric Learning-Based Subspace Clustering
Fuzzy auto-associative neural networks for principal component extraction of noisy data
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation
Generalization Bounds of Deep Neural Networks With τ-Mixing Samples
Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data
Tracking Sparse Linear Classifiers
Few-Shot Face Stylization via GAN Prior Distillation
Optimizing Single-Trial EEG Classification by Stationary Matrix Logistic Regression in Brain-Computer Interface
Black-box identification of a class of nonlinear systems by a recurrent neurofuzzy network
Local PCA algorithms
Dynamic neural-based buffer management for queuing systems with self-similar characteristics
Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning
Features Combined From Hundreds of Midlayers: Hierarchical Networks With Subnetwork Nodes
Global and Local Structure Preservation for Feature Selection
Global mu -Synchronization of Linearly Coupled Unbounded Time-Varying Delayed Neural Networks With Unbounded Delayed Coupling
Model-Free Reinforcement Learning by Embedding an Auxiliary System for Optimal Control of Nonlinear Systems
Noise Robust Projection Rule for Hyperbolic Hopfield Neural Networks
Log-domain implementation of complex dynamics reaction-diffusion neural networks
A combinatorial approach to understanding perceptron capabilities
DC Proximal Newton for Nonconvex Optimization Problems
Frames for Exact Inversion of the Rank Order Coder
An adaptive resource-allocating network for automated detection, segmentation, and classification of breast cancer nuclei topic area: image processing and recognition
3-D Quantum-Inspired Self-Supervised Tensor Network for Volumetric Segmentation of Medical Images
Neural Network Boundary Approximation for Uncertain Nonlinear Spatiotemporal Systems and Its Application of Tracking Control
Neuromorphic Excitable Maps for Visual Processing
Explainable Graph Wavelet Denoising Network for Intelligent Fault Diagnosis
A Novel Rotate-and-Fire Digital Spiking Neuron and its Neuron-Like Bifurcations and Responses
A Neural Model for Compensation of Sensory Abnormalities in Autism Through Feedback From a Measure of Global Perception
DR-GAN: Distribution Regularization for Text-to-Image Generation
Recognition and pose estimation of unoccluded three-dimensional objects from a two-dimensional perspective view by banks of neural networks
Further Results on Optimal Tracking Control for Nonlinear Systems With Nonzero Equilibrium via Adaptive Dynamic Programming
Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback
Neural-network construction and selection in nonlinear modeling
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations
Enhancing Multiparty Dialog Discourse Parsing With Dynamic Task-Adaptive Graph Transformer and Difficulty-Aware Task Scheduling
Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks
Robust Adaptive Observer Design for Uncertain Systems With Bounded Disturbances
On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation
Recursive training of neural networks for classification
Optimizing for Measure of Performance in Max-Margin Parsing
Tensor Learning Meets Dynamic Anchor Learning: From Complete to Incomplete Multiview Clustering
DEs-Inspired Accelerated Unfolded Linearized ADMM Networks for Inverse Problems
Finite-Time and Fixed-Time Synchronization of Quaternion-Valued Neural Networks With/Without Mixed Delays: An Improved One-Norm Method
Global Exponential Stability of Multitime Scale Competitive Neural Networks With Nonsmooth Functions
Event-Triggered State Estimation for Discrete-Time Multidelayed Neural Networks With Stochastic Parameters and Incomplete Measurements
Neuroadaptive Performance Guaranteed Control for Multiagent Systems With Power Integrators and Unknown Measurement Sensitivity
Network-Based High Level Data Classification
Synchronization Analysis and Design of Coupled Boolean Networks Based on Periodic Switching Sequences
Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach
Beyond the Hype: A Dispassionate Look at Vision-Language Models in Medical Scenario
Second-order bounds on the domain of attraction and the rate of convergence of nonlinear dynamical systems and neural networks
eFSM: a novel online neural-fuzzy semantic memory model
CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification
Data-Based Virtual Unmodeled Dynamics Driven Multivariable Nonlinear Adaptive Switching Control
Fuzzy neural network with general parameter adaptation for modeling of nonlinear time-series
Class 1 neural excitability, conventional synapses, weakly connected networks, and mathematical foundations of pulse-coupled models
Multiview Temporal Graph Clustering
Integral Reinforcement Learning for Continuous-Time Input-Affine Nonlinear Systems With Simultaneous Invariant Explorations
Neural approximations for infinite-horizon optimal control of nonlinear stochastic systems
Robust Stability Analysis for Interval Cohen-Grossberg Neural Networks With Unknown Time-Varying Delays
Prototype Bayesian Meta-Learning for Few-Shot Image Classification
Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback
A Real-Time Global Inference Network for One-Stage Referring Expression Comprehension
A Fast Tracking Algorithm for Generalized LARS/LASSO
An analysis of high-capacity discrete exponential BAM
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence
Model Compression for Communication Efficient Federated Learning
Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances
Computational Model Based on Neural Network of Visual Cortex for Human Action Recognition
Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction
Multiview Clustering via Proximity Learning in Latent Representation Space
An Effective Hybrid Learning Model for Real-Time Event Summarization
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks
Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem
Robust and Efficient Boosting Method Using the Conditional Risk
Approximate Policy-Based Accelerated Deep Reinforcement Learning
Pinning-Based Neural Control for Multiagent Systems With Self-Regulation Intermediate Event-Triggered Method
Glove-talk II - a neural-network interface which maps gestures to parallel formant speech synthesizer controls
Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications
Elementary function generators for neural-network emulators
SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold
Self-Organizing Map With Time-Varying Structure to Plan and Control Artificial Locomotion
An ILC-Based Adaptive Control for General Stochastic Systems With Strictly Decreasing Entropy
Binary classification by stochastic neural nets
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration
Unsupervised Domain Adaptation With Class-Aware Memory Alignment
MCTAN: A Novel Multichannel Temporal Attention-Based Network for Industrial Health Indicator Prediction
Multi-View Knowledge Ensemble With Frequency Consistency for Cross-Domain Face Translation
Sparse Uncorrelated Linear Discriminant Analysis for Undersampled Problems
Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition
On the Compressive Power of Boolean Threshold Autoencoders
Pinning Distributed Synchronization of Stochastic Dynamical Networks: A Mixed Optimization Approach
Feature Noise Boosts DNN Generalization Under Label Noise
Singularities in complete bipartite graph-type Boltzmann machines and upper bounds of stochastic complexities
Robust Reward-Free Actor-Critic for Cooperative Multiagent Reinforcement Learning
Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network
An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy
Condition monitoring of 3G cellular networks through competitive neural models
Separating Points by Parallel Hyperplanes - Characterization Problem
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion
Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks
Neural Preassigned Performance Control for State-Constrained Nonlinear Systems Subject to Disturbances
Noise-Tolerant Discrimination Indexes for Fuzzy γ Covering and Feature Subset Selection
Chaotic simulated annealing with decaying chaotic noise
Random Signals and Systems
Neural-Fitted TD-Leaf Learning for Playing Othello With Structured Neural Networks
Comparative analysis of fuzzy ART and ART-2A network clustering performance
Global Model Selection for Semi-Supervised Support Vector Machine via Solution Paths
AutoGMap: Learning to Map Large-Scale Sparse Graphs on Memristive Crossbars
Fully Distributed Adaptive NN-Based Consensus Protocol for Nonlinear MASs: An Attack-Free Approach
An Overview of the Stability Analysis of Recurrent Neural Networks With Multiple Equilibria
Adaptive Neural Network Control of a Flexible Spacecraft Subject to Input Nonlinearity and Asymmetric Output Constraint
A topological and temporal correlator network for spatiotemporal pattern learning, recognition, and recall
Learning Smooth Representation for Unsupervised Domain Adaptation
A discrete-time neural network for optimization problems with hybrid constraints
Lower Bounds on the Proportion of Leaders Needed for Expected Consensus of 3-D Flocks
DeepKeyGen: A Deep Learning-Based Stream Cipher Generator for Medical Image Encryption and Decryption
Effective Active Learning Method for Spiking Neural Networks
DMESH: A Structure-Preserving Diffusion Model for 3-D Mesh Denoising
Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning
Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval
Quaternion-Valued Twin-Multistate Hopfield Neural Networks With Dual Connections
Latent Attention Network With Position Perception for Visual Question Answering
Neuroadaptive Impulsive Control on Consensus of Uncertain Multiagent Systems Using Continuous and Sampled Information
A Two-Stage Selective Fusion Framework for Joint Intent Detection and Slot Filling
High-order MS CMAC neural network
Distributed Neural-Network-Based Cooperation Control for Teleoperation of Multiple Mobile Manipulators Under Round-Robin Protocol
Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Event-Triggered Nonzero-Sum Games
Web mining in soft computing framework: relevance, state of the art and future directions
Dual Balanced Class-Incremental Learning With im-Softmax and Angular Rectification
Memorizing binary vector sequences by a sparsely encoded network
A Target-Driven Planning Approach for Goal-Directed Dialog Systems
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks
Guest Editorial White Box Nonlinear Prediction Models
Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation
Observer-Based Impulsive Synchronization for Neural Networks With Uncertain Exchanging Information
Incremental communication for multilayer neural networks: error analysis
Continuously Constructive Deep Neural Networks
Task-Oriented GAN for PolSAR Image Classification and Clustering
Face Recognition Using Total Margin-Based Adaptive Fuzzy Support Vector Machines
Self-organizing potential field network: a new optimization algorithm
Randomness in generalization ability: a source to improve it
Federated Learning With Taskonomy for Non-IID Data
A Distributed Neural Hybrid System Learning Framework in Modeling Complex Dynamical Systems
Realization of Spatial Sparseness by Deep ReLU Nets With Massive Data
Bayesian Matrix Factorization for Semibounded Data
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays
L 1 -Norm Low-Rank Matrix Decomposition by Neural Networks and Mollifiers
Multicolumn RBF Network
A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold
Hyperparameter Learning Under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization
Learning With Stochastic Guidance for Robot Navigation
Power prediction in mobile communication systems using an optimal neural-network structure
A Fixed-Time Noise-Tolerance ZNN Model for Time-Variant Inequality-Constrained Quaternion Matrix Least-Squares Problem
SCE: A Manifold Regularized Set-Covering Method for Data Partitioning
Domain-Adaptive Graph Attention-Supervised Network for Cross-Network Edge Classification
Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration
Convergence and Rate Analysis of Neural Networks for Sparse Approximation
A massively parallel architecture for self-organizing feature maps
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Gradient Correction for White-Box Adversarial Attacks
A norm selection criterion for the generalized delta rule
Organizational Data Classification Based on the Importance Concept of Complex Networks
Neighbor-layer updating in MBDS for the recall of pure bipolar patterns in gray-scale noise
On Representation Knowledge Distillation for Graph Neural Networks
Preassigned Time Adaptive Neural Tracking Control for Stochastic Nonlinear Multiagent Systems With Deferred Constraints
Storage capacity diverges with synaptic efficiency in an associative memory model with synaptic delay and pruning
Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection
Agglomerative Neural Networks for Multiview Clustering
Using radial basis functions to approximate a function and its error bounds
Reinforcement Learning With Task Decomposition for Cooperative Multiagent Systems
Output feedback control of nonlinear systems using RBF neural networks
Global Neural Dynamic Surface Tracking Control of Strict-Feedback Systems With Application to Hypersonic Flight Vehicle
Distributed Adaptive Forwarding Finite-Time Output Consensus of High-Order Multiagent Systems via Immersion and Invariance-Based Approximator
Local Causal Discovery in Multiple Manipulated Datasets
ϵ-Approximation of Adaptive Leaning Rate Optimization Algorithms for Constrained Nonconvex Stochastic Optimization
Dense Semantic Forecasting in Video by Joint Regression of Features and Feature Motion
Guided Cooperation in Hierarchical Reinforcement Learning via Model-Based Rollout
Clustering Spatially Correlated Functional Data With Multiple Scalar Covariates
Visualizing and Understanding Patch Interactions in Vision Transformer
Improved Stability Analysis Results of Generalized Neural Networks With Time-Varying Delays
Sequential neural text compression
Application of IFT and SPSA to Servo System Control
Fast and robust fixed-point algorithms for independent component analysis
Positive Consensus of Fractional-Order Multiagent Systems Over Directed Graphs