yusuke1997/dblp-id-title huggingface dataset:
Payoff Control in Multichannel Games: Influencing Opponent Learning Evolution
LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction
Resilient Finite-Time Consensus Tracking for Nonholonomic High-Order Chained-Form Systems Against DoS Attacks
Quantized Sampled-Data Synchronization of Delayed Reaction-Diffusion Neural Networks Under Spatially Point Measurements
Semisupervised Consistent Projection Metric Learning for Person Reidentification
Locality Adaptive Discriminant Analysis Framework
Optimal Steady-State Regulator Design for a Class of Nonlinear Systems With Arbitrary Relative Degree
Switched Model Predictive Control for Nonholonomic Mobile Robots Under Adaptive Dwell Time
Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces
Convergence Analysis of Value Iteration Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems
Scalable Control of Large-Scale DC Microgrids: A Novel Line-Independent and Mode-Related Scheme
Impulsive Control of Nonlinear Systems With Time-Varying Delay and Applications
A Novel Swarm-Exploring Neurodynamic Network for Obtaining Global Optimal Solutions to Nonconvex Nonlinear Programming Problems
A State Space Approach to Decentralized Fault SE-Coprognosability of Partially Observed Discrete Event Systems
Context-Aware Semantic Inpainting
A Distributed Optimization Problem Subject to Partial-Impact Cost Functions
Hierarchical Type Stability Criteria for Delayed Neural Networks via Canonical Bessel-Legendre Inequalities
Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking
Cooperative Game-Based Approximate Optimal Control of Modular Robot Manipulators for Human-Robot Collaboration
Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures
A Comorbidity Knowledge-Aware Model for Disease Prognostic Prediction
Sliding Mode Control for Markov Jump Singularly Perturbed Systems Under Piecewise Homogeneous Stochastic Communication Protocol
Decentralized Fault Prognosis of Discrete-Event Systems Using State-Estimate-Based Protocols
A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modeling
Fuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Stochastic Systems
Flight and Vibration Control of Flexible Air-Breathing Hypersonic Vehicles Under Actuator Faults
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification
Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas
Fixed-Time Leader-Following Consensus for Multiple Wheeled Mobile Robots
Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks
Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors
Leader-Follower Consensus of Multiagent Systems With Time Delays Over Finite Fields
Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine
Multiple Observer Adaptive Fusion for Uncertainty Estimation and Its Application to Wheel Velocity Systems
Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering
Resilient Asynchronous State Estimation for Markovian Jump Neural Networks Subject to Stochastic Nonlinearities and Sensor Saturations
Uncalibrated and Unmodeled Image-Based Visual Servoing of Robot Manipulators Using Zeroing Neural Networks
H ∞ Synchronization of Networked Master-Slave Oscillators With Delayed Position Data: The Positive Effects of Network-Induced Delays
Neuromorphic Vision-Based Fall Localization in Event Streams With Temporal-Spatial Attention Weighted Network
Adaptive Event-Triggered Consensus Control of a Class of Second-Order Nonlinear Multiagent Systems
Resilient Consensus for Expressed and Private Opinions
Brain EEG Time-Series Clustering Using Maximum-Weight Clique
Semisupervised Learning via Axiomatic Fuzzy Set Theory and SVM
Visual-Inertial-Acoustic Sensor Fusion for Accurate Autonomous Localization of Underwater Vehicles
Hough Forest With Optimized Leaves for Global Hand Pose Estimation With Arbitrary Postures
A Two-Stage Cooperative Evolutionary Algorithm With Problem-Specific Knowledge for Energy-Efficient Scheduling of No-Wait Flow-Shop Problem
Smooth Compositions Made Stabilization of Fuzzy Systems: Easy and More Robust
A Self-Adaptive Sleep/Wake-Up Scheduling Approach for Wireless Sensor Networks
Active Domain Adaptation With Application to Intelligent Logging Lithology Identification
Practical Exponential Stability of Impulsive Stochastic Reaction-Diffusion Systems With Delays
Consensus of Euler-Lagrange Systems Networked by Sampled-Data Information with Probabilistic Time Delays
Model-Free Algorithms for Cooperative Output Regulation of Discrete-Time Multiagent Systems via Q-Learning Method
Event-Triggered Almost Output Regulation for Switched T-S Fuzzy Systems
Resilient Consensus of Multiagent Systems Under Malicious Attacks: Appointed-Time Observer-Based Approach
Achieving Constrained Optimization Digraphs Within Preset-Time via Integral Sliding Mode Control
Adaptive Constraint Penalty-Based Multiobjective Operation Optimization of an Industrial Dynamic System With Complex Multiconstraint
Learning Dual Geometric Low-Rank Structure for Semisupervised Hyperspectral Image Classification
Complex and Concurrent Negotiations for Multiple Interrelated e-Markets
Learning to Imbalanced Open Set Generalize: A Meta-Learning Framework for Enhanced Mechanical Diagnosis
Adaptive Neural-Network Boundary Control for a Flexible Manipulator With Input Constraints and Model Uncertainties
An Efficient Multiple Variants Coordination Framework for Differential Evolution
Relational Multimanifold Coclustering
Knowledge Learning-Based Dimensionality Reduction for Solving Large-Scale Sparse Multiobjective Optimization Problems
Data-Driven False Data-Injection Attack Design and Detection in Cyber-Physical Systems
Collective Behaviors of Mobile Robots Beyond the Nearest Neighbor Rules With Switching Topology
Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification
Decentralized Prescribed-Time Control of Robotic Arm-Finger Systems for Grasping and Moving Tasks
Optimal Tracking Control of Unknown Discrete-Time Linear Systems Using Input-Output Measured Data
Ensemble Decision for Spam Detection Using Term Space Partition Approach
Robust H ∞ Control for Nonlinear Hyperbolic PDE Systems Based on the Polynomial Fuzzy Model
Optimal Decentralized Output-Feedback LQG Control With Random Communication Delay
Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation
An Improved Jump Model for Two-Dimensional Markov Jump Roesser Systems and Its H ∞ Control
A Bioinspired Dynamics-Based Adaptive Fuzzy SMC Method for Half-Car Active Suspension Systems With Input Dead Zones and Saturations
Adaptive Output Feedback Fuzzy Fault-Tolerant Control for Nonlinear Full-State-Constrained Switched Systems
H ∞ Control for Stochastic Singular Systems With Time-Varying Delays via Sampled-Data Controller
Fuzzy-Model-Based Output Feedback Reliable Control for Network-Based Semi-Markov Jump Nonlinear Systems Subject to Redundant Channels
T3-ANFIS: Type-3 Adaptive Neuro-Fuzzy Inference System With a Noniterative Learning Algorithm
Industrial Foundation Model
Event-Triggered Recursive Filtering for Shift-Varying Linear Repetitive Processes
A Hierarchical Hand Gesture Recognition Framework for Sports Referee Training-Based EMG and Accelerometer Sensors
Ecological Sampling of Gaze Shifts
An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks
Dually Distribution Pulling Network for Cross-Resolution Person Reidentification
Multiplayer Noncooperative and Cooperative Minimax H ∞ Tracking Game Strategies for Linear Mean-Field Stochastic Systems With Applications to Cyber-Social Systems
Noncooperative Game Strategy Design Over Fading Measurement Channel Under Wiener Type Disturbance: Handling Continuous-Time Time-Varying System
Disturbance Rejection and Robustness of Improved Equivalent-Input-Disturbance-Based System
Observer-Based Adaptive Fixed-Time Sensor Fault Compensation Control for Uncertain Nonlinear Systems
Feature Selection Inspired Classifier Ensemble Reduction
Geospatial Modeling Using Dempster-Shafer Theory
Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer
A Chattering-Free Approach to Consensus Tracking of Nonlinear Multiagent Systems With a Dynamic Exogenous Leader and Input Saturation
Reachable Set Estimation and Synthesis for Periodic Positive Systems
Optimal Transmit Power Allocation for an Energy-Harvesting Sensor in Wireless Cyber-Physical Systems
Distributed Secure Consensus Control With Event-Triggering for Multiagent Systems Under DoS Attacks
Cooperative Pursuit With Multi-Pursuer and One Faster Free-Moving Evader
Hierarchical Model Predictive Image-Based Visual Servoing of Underwater Vehicles With Adaptive Neural Network Dynamic Control
Scene Categorization Using Deeply Learned Gaze Shifting Kernel
An Adaptive Approach to Learning Optimal Neighborhood Kernels
How Much Control Is Enough? Influence of Unreliable Input on User Experience
Memristive Quantized Neural Networks: A Novel Approach to Accelerate Deep Learning On-Chip
Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems
Discrimination Between Native and Non-Native Speech Using Visual Features Only
Dissipativity-Based Control for Fuzzy Systems With Asynchronous Modes and Intermittent Measurements
A Controlled Strengthened Dominance Relation for Evolutionary Many-Objective Optimization
Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints
The Confinement-Escape Problem of a Defender Against an Evader Escaping from a Circular Region
A Hyperheuristic With Q-Learning for the Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem
Efficient Reinforcement Learning With the Novel N-Step Method and V-Network
Consensus of Nonlinear Multiagent Systems With Grouping Via State-Constraint Impulsive Protocols
Appearance-Based Gaze Estimation for ASD Diagnosis
Dendrite Net: A White-Box Module for Classification, Regression, and System Identification
Intelligent Safe Driving Methods Based on Hybrid Automata and Ensemble CART Algorithms for Multihigh-Speed Trains
Toward Flotation Process Operation-State Identification via Statistical Modeling of Biologically Inspired Gabor Filtering Responses
Predefined-Time Formation Control for Multiagent Systems-Based on Distributed Optimization
Correntropy-Based Multiview Subspace Clustering
A Knowledge-Based Two-Population Optimization Algorithm for Distributed Energy-Efficient Parallel Machines Scheduling
Cooperative Output Regulation of Singular Heterogeneous Multiagent Systems
Weighted Optimization-Based Distributed Kalman Filter for Nonlinear Target Tracking in Collaborative Sensor Networks
Novel Multitask Conditional Neural-Network Surrogate Models for Expensive Optimization
A Framework for Biodynamic Feedthrough Analysis - Part II: Validation and Application
Principal Component 2-D Long Short-Term Memory for Font Recognition on Single Chinese Characters
Fuzzy Adaptive Quantized Control for a Class of Stochastic Nonlinear Uncertain Systems
Event-Triggered Adaptive Finite-Time Containment Control for Fractional-Order Nonlinear Multiagent Systems
Cost-Effective Kernel Ridge Regression Implementation for Keystroke-Based Active Authentication System
Consistency-Driven Methodology to Manage Incomplete Linguistic Preference Relation: A Perspective Based on Personalized Individual Semantics
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning
Inverse-Free Extreme Learning Machine With Optimal Information Updating
Observer-Based Adaptive Fuzzy Decentralized Event-Triggered Control of Interconnected Nonlinear System
Data-Driven Backstepping Control for a Class of Unknown Nonlinear Strict-Feedback Systems
A Verification Method for MASOES
Edge-Preserving Depth Map Upsampling by Joint Trilateral Filter
Necessary and Sufficient Conditions of Formation-Containment Control of High-Order Multiagent Systems With Observer-Type Protocols
Adaptive Neural Network Fixed-Time Control Design for Bilateral Teleoperation With Time Delay
Adaptive GSA-Based Optimal Tuning of PI Controlled Servo Systems With Reduced Process Parametric Sensitivity, Robust Stability and Controller Robustness
Performance Evaluation Methodology for Long-Term Single-Object Tracking
Z-Number Generation Model and Its Application in a Rule-Based Classification System
Incipient Fault Diagnosis for High-Speed Train Traction Systems via Stacked Generalization
Distributed H ∞ Estimation in Sensor Networks With Two-Channel Stochastic Attacks
Guest Editorial Special Issue on Industrial Metaverse for Smart Manufacturing
Fuzzy Adaptive Decentralized Optimal Control for Strict Feedback Nonlinear Large-Scale Systems
Robust Commonsense Reasoning Against Noisy Labels Using Adaptive Correction
An Interclass Margin Maximization Learning Algorithm for Evolving Spiking Neural Network
Solver-Critic: A Reinforcement Learning Method for Discrete-Time-Constrained-Input Systems
Security Event-Trigger-Based Distributed Energy Management Of Cyber-Physical Isolated Power System With Considering Nonsmooth Effects
Constructing Multiscroll Memristive Neural Network With Local Activity Memristor and Application in Image Encryption
Evolvable Rough-Block-Based Neural Network and its Biomedical Application to Hypoglycemia Detection System
Distributed Repetitive Learning Control for Cooperative Cadence Tracking in Functional Electrical Stimulation Cycling
A Novel Resilient Control Scheme for a Class of Markovian Jump Systems With Partially Unknown Information
GrCS: Granular Computing-Based Crowd Segmentation
GMP: A Genetic Mission Planner for Heterogeneous Multirobot System Applications
Slow-Varying Dynamics-Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation
Adaptive Output Regulation of Heterogeneous Multiagent Systems Under Markovian Switching Topologies
Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction
A State Space Model for Multiobject Full 3-D Information Estimation From RGB-D Images
Fixed-Time Event-Triggered Output Consensus Tracking of High-Order Multiagent Systems Under Directed Interaction Graphs
Observer-Based Event-Triggered Adaptive Fuzzy Control for Unmeasured Stochastic Nonlinear Systems With Unknown Control Directions
Logic-Based Fixed-Time Control for Uncertain Nonlinear Systems With Unknown Control Directions
Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts
Adaptive Event-Triggered Sliding-Mode Control for Consensus Tracking of Nonlinear Multiagent Systems With Unknown Perturbations
Finite-Horizon Optimal Consensus Control for Unknown Multiagent State-Delay Systems
Total Variation Regularized RPCA for Irregularly Moving Object Detection Under Dynamic Background
Finite-Time Composite Learning Control of Strict-Feedback Nonlinear System Using Historical Stack
PID Control for Synchronization of Complex Dynamical Networks With Directed Topologies
Tracking Performance Limitations of MIMO Networked Control Systems With Multiple Communication Constraints
Generation of Granular-Balls for Clustering Based on the Principle of Justifiable Granularity
Optimal Bounded Ellipsoid Identification With Deterministic and Bounded Learning Gains: Design and Application to Euler-Lagrange Systems
Quasisynchronization of Heterogeneous Dynamical Networks via Event-Triggered Impulsive Controls
Online Learning Algorithm for Distributed Convex Optimization With Time-Varying Coupled Constraints and Bandit Feedback
A Group-Based Distance Learning Method for Semisupervised Fuzzy Clustering
Alignment-Supervised Bidimensional Attention-Based Recursive Autoencoders for Bilingual Phrase Representation
Joint Sparse Locality-Aware Regression for Robust Discriminative Learning
The Overcomplete Dictionary-Based Directional Estimation Model and Nonconvex Reconstruction Methods
Second-Order Consensus in Multiagent Systems via Distributed Sliding Mode Control
Emotion Recognition From Multimodal Physiological Signals via Discriminative Correlation Fusion With a Temporal Alignment Mechanism
Fully Actuated System Approach for Control: An Overview
Distributed H ∞ State Estimator Design for Time-Delay Periodic Systems Over Scheduling Sensor Networks
Learning From Short Text Streams With Topic Drifts
Local Community Mining on Distributed and Dynamic Networks From a Multiagent Perspective
A Robust Image-Sequence-Based Framework for Visual Place Recognition in Changing Environments
Kullback-Leibler Divergence Metric Learning
Combining Lyapunov Optimization With Evolutionary Transfer Optimization for Long-Term Energy Minimization in IRS-Aided Communications
Personalizing Vision-Language Models With Hybrid Prompts for Zero-Shot Anomaly Detection
Estimation and LQG Control Over Unreliable Network With Acknowledgment Randomly Lost
KAT: A Knowledge Adversarial Training Method for Zero-Order Takagi-Sugeno-Kang Fuzzy Classifiers
Adaptive Gradient Multiobjective Particle Swarm Optimization
An Effective Knowledge Transfer Approach for Multiobjective Multitasking Optimization
Running Time Analysis of MOEA/D on Pseudo-Boolean Functions
Monocular 3-D Gait Tracking in Surveillance Scenes
A Survey on GPU-Based Implementation of Swarm Intelligence Algorithms
Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies
Admittance-Adaptive Model-Based Approach to Mitigate Biodynamic Feedthrough
Noise-Induced Improvement of the Parkinsonian State: A Computational Study
Fault-Tolerant Optimal Control for Discrete-Time Nonlinear System Subjected to Input Saturation: A Dynamic Event-Triggered Approach
Sampled-Data Fuzzy Control for Nonlinear Coupled Parabolic PDE-ODE Systems
Nonrigid Structure From Motion via Sparse Representation
Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments
Distributed Adaptive Algorithms for Intralayer Synchronization of Multiplex Networks
Gesture-Based Human-Machine Interaction: Taxonomy, Problem Definition, and Analysis
An Approximate Approach to Automatic Kernel Selection
Semantic Search-Based Genetic Programming and the Effect of Intron Deletion
Stability Analysis of Time-Delay Neural Networks Subject to Stochastic Perturbations
An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering
Affective State Level Recognition in Naturalistic Facial and Vocal Expressions
Constraint Neighborhood Projections for Semi-Supervised Clustering
Pinning Stabilization of Boolean Control Networks via a Minimum Number of Controllers
Summation Detector for False Data-Injection Attack in Cyber-Physical Systems
Generic Mechanism for Waveform Regulation and Synchronization of Oscillators: An Application for Robot Behavior Diversity Generation
Recurrent Reconstructive Network for Sequential Anomaly Detection
Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer
Diversity Comparison of Pareto Front Approximations in Many-Objective Optimization
Neural-Network-Based Consensus Control for Multiagent Systems With Input Constraints: The Event-Triggered Case
Model-Based and Data-Driven Control of Event- and Self-Triggered Discrete-Time Linear Systems
Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation
A Generalized Udwadia-Kalaba Control Design With Speed Inequality Constraints
Adaptive Neural Safe Tracking Control Design for a Class of Uncertain Nonlinear Systems With Output Constraints and Disturbances
Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning
Variability Analysis on Gestures for People With Quadriplegia
Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering
Visual Tracking via Random Walks on Graph Model
Explicit Linear Left-and-Right 5-Step Formulas With Zeroing Neural Network for Time-Varying Applications
Hybridization of Decomposition and Local Search for Multiobjective Optimization
Deep Learning for Ocean Forecasting: A Comprehensive Review of Methods, Applications, and Datasets
Dynamic Event-Triggering Neural Learning Control for Partially Unknown Nonlinear Systems
On the Impact of Prior Experiences in Car-Following Models: Model Development, Computational Efficiency, Comparative Analyses, and Extensive Applications
Matsuoka's CPG With Desired Rhythmic Signals for Adaptive Walking of Humanoid Robots
Asynchronous Distributed Algorithms for Seeking Generalized Nash Equilibria Under Full and Partial-Decision Information
Event-Triggered Finite-Time Consensus of Second-Order Leader-Follower Multiagent Systems With Uncertain Disturbances
Mechanism and Data-Driven Dual Estimation of Coupling Hydraulic-Thermal States for Steam Heating Networks Considering Multi-Time-Scale Characteristics
Stabilization and Data-Rate Condition for Stability of Networked Control Systems With Denial-of-Service Attacks
$M$-Matrix Strategies for Pinning-Controlled Leader-Following Consensus in Multiagent Systems With Nonlinear Dynamics
Odometry-Vision-Based Ground Vehicle Motion Estimation With SE(2)-Constrained SE(3) Poses
Incremental Learning for Video-Based Gait Recognition With LBP Flow
Importance of Vertices in Complex Networks Applied to Texture Analysis
Co-Training Broad Siamese-Like Network for Coupled-View Semi-Supervised Learning
Distributed Formation Control: Asymptotic Stabilization Results Under Local Noisy Information
Norm Monitoring Under Partial Action Observability
Reinforcement Learning for Port-Hamiltonian Systems
An Extreme Learning Machine Approach to Density Estimation Problems
Nyström Approximated Temporally Constrained Multisimilarity Spectral Clustering Approach for Movie Scene Detection
Optimal Adaptive Robust Control Based on Cooperative Game Theory for a Class of Fuzzy Underactuated Mechanical Systems
Optimal Data Injection Attacks in Cyber-Physical Systems
Modeling and Analysis of Group Dynamics in Alcohol-Consumption Environments
Improved Conditions for Passivity of Neural Networks With a Time-Varying Delay
Pose-Guided Hierarchical Graph Reasoning for 3-D Hand Pose Estimation From a Single Depth Image
Event-Triggered Optimal Control for Temperature Field of Roller Kiln Based on Adaptive Dynamic Programming
Laplacian Eigenmap With Temporal Constraints for Local Abnormality Detection in Crowded Scenes
A New Surrogate-Assisted Interactive Genetic Algorithm With Weighted Semisupervised Learning
A Sampling-Based Bayesian Approach for Cooperative Multiagent Online Search With Resource Constraints
Consensus of Discrete-Time Multiagent Systems With Input Delays by Truncated Pseudo-Predictor Feedback
On Designing the Event-Triggered Multistep Model Predictive Control for Nonlinear System Over Networks With Packet Dropouts and Cyber Attacks
A Mixed Representation-Based Multiobjective Evolutionary Algorithm for Overlapping Community Detection
Multi-Instant Observer Design of Discrete-Time Fuzzy Systems via An Enhanced Gain-Scheduling Mechanism
Fast Sound Source Localization Using Two-Level Search Space Clustering
Hybrid k-Nearest Neighbor Classifier
Error Estimation for Quasi-Synchronization of Multilayer Dynamical Networks: A Pinning Delayed Impulsive Control Scheme
Point-to-Point Learning Tracking Control via Fading Communication Using Reference Update Strategy
Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning
Bilateral Teleoperation of Single-Master Multislave Systems With Semi-Markovian Jump Stochastic Interval Time-Varying Delayed Communication Channels
Fixed-Time Prescribed Tracking Control for Stochastic Nonlinear Systems With Unknown Measurement Sensitivity
Distributed Information-Theoretic Semisupervised Learning for Multilabel Classification