yusuke1997/dblp-id-title huggingface dataset:
Robust Multiobjective Particle Swarm Optimization With Feedback Compensation Strategy
Dynamic Scene Classification Using Redundant Spatial Scenelets
Synchronization of Switched Neural Networks via Attacked Mode-Dependent Event-Triggered Control and Its Application in Image Encryption
Composite Learning Adaptive Dynamic Surface Control of Fractional-Order Nonlinear Systems
Dual Encoding for Abstractive Text Summarization
Information Space Receding Horizon Control
Learn the Lagrangian: A Vector-Valued RKHS Approach to Identifying Lagrangian Systems
Modified NSGA-II for Solving Continuous Berth Allocation Problem: Using Multiobjective Constraint-Handling Strategy
Coordinated Control of Networked Multiagent Systems With Communication Constraints Using a Proportional Integral Predictive Control Strategy
Predefined-Time Safe Cooperative Control for Multiagent Systems With Privacy Preservation and Unknown Disturbances
Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization
Finite-Time L 2 -Gain Asynchronous Control for Continuous-Time Positive Hidden Markov Jump Systems via T-S Fuzzy Model Approach
Semi-Supervised and Unsupervised Extreme Learning Machines
Robust Consensus Nonlinear Information Filter for Distributed Sensor Networks With Measurement Outliers
Design of a Wireless Control System With Unreliable Nodes and Communication Links
Global Event-Triggered Funnel Control of Switched Nonlinear Systems via Switching Multiple Lyapunov Functions
Good Practices for Learning to Recognize Actions Using FV and VLAD
Semisupervised Multiple Choice Learning for Ensemble Classification
Event-Triggered Adaptive Fuzzy Output-Feedback Control for Nonstrict-Feedback Nonlinear Systems With Asymmetric Output Constraint
A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization
Multiagent Reinforcement Learning With Unshared Value Functions
MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion
Adaptive Impedance Control of a Robotic Orthosis for Gait Rehabilitation
Data-Driven Distributed Output Consensus Control for Partially Observable Multiagent Systems
Prototype Generation Using Multiobjective Particle Swarm Optimization for Nearest Neighbor Classification
Composite Kernel of Mutual Learning on Mid-Level Features for Hyperspectral Image Classification
A Granular Approach to Interval Output Estimation for Rule-Based Fuzzy Models
Motion Control for Autonomous Heterogeneous Multiagent Area Search in Uncertain Conditions
Visual Classification With Multikernel Shared Gaussian Process Latent Variable Model
Reset Event-Triggered Adaptive Fuzzy Consensus for Nonlinear Fractional-Order Multiagent Systems With Actuator Faults
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection
Promoting Interactions Between Humans and Robots Using Robotic Emotional Behavior
Dynamic Coding-Based Control Scheme Under Lossy Digital Network: An Optimized Time-Varying Packet Length Approach
A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance
Objective-Domain Dual Decomposition: An Effective Approach to Optimizing Partially Differentiable Objective Functions
A Probabilistic Niching Evolutionary Computation Framework Based on Binary Space Partitioning
Efficient Shortest-Path-Tree Computation in Network Routing Based on Pulse-Coupled Neural Networks
Continuous-Time Q-Learning for Infinite-Horizon Discounted Cost Linear Quadratic Regulator Problems
Neuroadaptive Admittance Control for Human-Robot Interaction With Human Motion Intention Estimation and Output Error Constraint
Multiobjective Sine Cosine Algorithm for Remote Sensing Image Spatial-Spectral Clustering
Observer-Based State Estimation of Discrete-Time Fuzzy Systems Based on a Joint Switching Mechanism for Adjacent Instants
Robotic Emotional Expression Generation Based on Mood Transition and Personality Model
Cooperative Differential Game-Based Distributed Optimal Synchronization Control of Heterogeneous Nonlinear Multiagent Systems
Parameter-Estimation-Based Gain-Scheduling Control of Weight on Bit in Drilling Process With Uncertain Penetration Resistance Coefficient
Hybrid Dynamic Event-Triggered Load Frequency Control for Power Systems With Unreliable Transmission Networks
Quantitative Evaluation Methodology for Chassis-Domain Dynamics Performance of Automated Vehicles
An Adaptive Stochastic Dominant Learning Swarm Optimizer for High-Dimensional Optimization
Design of Event-Triggered H ∞ Fuzzy Integral Controller for Nonlinear Singularly Perturbed Systems With Parametric Uncertainties
Distributed Generalized Nash Equilibrium Seeking for Monotone Generalized Noncooperative Games by a Regularized Penalized Dynamical System
Pareto-Optimal Strategy for Linear Mean-Field Stochastic Systems With H ∞ Constraint
Formation Control of Multiagent Systems With Communication Noise: A Convex Analysis Approach
Flexible and Generalized Real Photograph Denoising Exploiting Dual Meta Attention
A New Performance Index for the Repetitive Motion of Mobile Manipulators
Estimation and Observability Analysis of Human Motion on Lie Groups
Reduced-Order Observer-Based Output-Feedback Tracking Control for Nonlinear Time-Delay Systems With Global Prescribed Performance
Leader-Following Consensus of Multiple Uncertain Euler-Lagrange Systems via Fully Distributed Event-Triggered Adaptive Fuzzy Control
Laplacian Welsch Regularization for Robust Semisupervised Learning
AdamGraph: Adaptive Attention-Modulated Graph Network for EEG Emotion Recognition
Landmark Image Retrieval by Jointing Feature Refinement and Multimodal Classifier Learning
Containment Control of Asynchronous Discrete-Time General Linear Multiagent Systems With Arbitrary Network Topology
SMAN: Stacked Multimodal Attention Network for Cross-Modal Image-Text Retrieval
Secure Tracking Control of Cyber-Physical Systems Against Hybrid Attacks via FAS Terminal Sliding-Mode Predictive Control
Anthropomorphic Reaching Movement Generating Method for Human-Like Upper Limb Robot
Multiobjective Overtaking Maneuver Planning for Autonomous Ground Vehicles
Coordinated Dynamic Behaviors for Multirobot Systems With Collision Avoidance
Composite Backstepping Consensus Algorithms of Leader-Follower Higher-Order Nonlinear Multiagent Systems Subject to Mismatched Disturbances
Quantized Output-Feedback Control for Unmanned Marine Vehicles With Thruster Faults via Sliding-Mode Technique
Deep-Learning-Based Automatic Selection of Fewest Channels for Brain-Machine Interfaces
Practical Stabilization of Networked Takagi-Sugeno Fuzzy Systems via Improved Jensen Inequalities
A Non-Monte-Carlo Parameter-Free Learning Automata Scheme Based on Two Categories of Statistics
Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection
Learning Linear Representation of Space Partitioning Trees Based on Unsupervised Kernel Dimension Reduction
Transient Bipartite Synchronization for Cooperative-Antagonistic Multiagent Systems With Switching Topologies
Distributed LQR Optimal Protocol for Leader-Following Consensus
Comparing the Performance of Expert User Heuristics and an Integer Linear Program in Aircraft Carrier Deck Operations
Class Incremental Learning With Few-Shots Based on Linear Programming for Hyperspectral Image Classification
On Stabilization of Quantized Sampled-Data Neural-Network-Based Control Systems
Betweenness Centrality-Based Consensus Protocol for Second-Order Multiagent Systems With Sampled-Data
Fully Distributed Adaptive Finite-Time Consensus for Uncertain Nonlinear Multiagent Systems
An Evolutionary Multiobjective Carpool Algorithm Using Set-Based Operator Based on Simulated Binary Crossover
Latent Low-Rank Representation With Weighted Distance Penalty for Clustering
Differential Evolution for Multimodal Optimization With Species by Nearest-Better Clustering
Filtering for Switched T-S Fuzzy Systems With Persistent Dwell Time
Multiplayer Differential Games of Markov Jump Systems via Reinforcement Learning
A Variance-Constrained Approach to Recursive Filtering for Nonlinear 2-D Systems With Measurement Degradations
Pro-Reactive Approach for Project Scheduling Under Unpredictable Disruptions
Data-Driven Inverse Reinforcement Learning for Heterogeneous Optimal Robust Formation Control
Secure Fusion Estimation of Energy-Constrained Multisensor System Against Hybrid Attacks
Predefined-Time Consensus Tracking Control for Multiagent System With Channel Fading
Adaptive Resilient Secondary Control for Microgrids With Communication Faults
Index Tracking via Sparse Bayesian Regression and Collaborative Neurodynamic Optimization
Distributed Active Disturbance Rejection Formation Tracking Control for Quadrotor UAVs
Composite Adaptive Guaranteed Performances Synchronization Control for Bilateral Teleoperation System With Asymmetrical Time-Varying Delays
Prescribed Performance Control of Constrained Euler-Language Systems Chasing Unknown Targets
Multiple Intentional Delays Can Facilitate Fast Consensus and Noise Reduction in a Multiagent System
Many-Objective Particle Swarm Optimization Using Two-Stage Strategy and Parallel Cell Coordinate System
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors
Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties
Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model
3-D Model-Based Tracking for UAV Indoor Localization
Distributed Adaptive Finite-Time Consensus for Second-Order Multiagent Systems With Mismatched Disturbances Under Directed Networks
A Video, Text, and Speech-Driven Realistic 3-D Virtual Head for Human-Machine Interface
Uncertainty Representation of Grey Numbers and Grey Sets
Multilevel Depth and Image Fusion for Human Activity Detection
Adaptive Fault Tolerant Consensus Tracking Control for Flexible Manipulators MASs With Input Quantization and Time-Varying Delay
Multi-Objective Model Selection via Racing
Reachable Set Estimation for Markovian Jump Neutral-Type Neural Networks With Time-Varying Delays
A Scan-Line Forest Growing-Based Hand Segmentation Framework With Multipriority Vertex Stereo Matching for Wearable Devices
WToE: Learning When to Explore in Multiagent Reinforcement Learning
Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction
Stability of a Class of Multiagent Tracking Systems With Unstable Subsystems
Concept Preserving Hashing for Semantic Image Retrieval With Concept Drift
An Improved Topology Identification Method of Complex Dynamical Networks
Distributed Nash Equilibrium Seeking and Disturbance Rejection for High-Order Integrators Over Jointly Strongly Connected Switching Networks
Feedback Pinning Control of Successive Lag Synchronization on a Dynamical Network
Auxiliary Task-Based Deep Reinforcement Learning for Quantum Control
Edge-Based Finite-Time Protocol Analysis With Final Consensus Value and Settling Time Estimations
Motion Adaptation With Motor Invariant Theory
A Two-Phase Learning-Based Swarm Optimizer for Large-Scale Optimization
Erratum to "Distributed Practical Fixed-Time Resource Allocation Algorithm for Disturbed Multiagent Systems: An Integrated Framework"
Adaptive Bi-Weighting Toward Automatic Initialization and Model Selection for HMM-Based Hybrid Meta-Clustering Ensembles
Cooperative Moving-Target Enclosing of Networked Vehicles With Constant Linear Velocities
Bayesian Intent Prediction in Object Tracking Using Bridging Distributions
On Neighbor Information Utilization in Distributed Receding Horizon Control for Consensus-Seeking
An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences
Quasi-Ideal Memory System
Zero-Norm Distance to Controllability of Linear Dynamic Networks
Approximating Dunn's Cluster Validity Indices for Partitions of Big Data
Secure Halftone Image Steganography Based on Feature Space and Layer Embedding
Angle 2DPCA: A New Formulation for 2DPCA
Synchronization Analysis for Complex Dynamical Networks With Coupling Delay via Event-Triggered Delayed Impulsive Control
Cooperative Hierarchical PSO With Two Stage Variable Interaction Reconstruction for Large Scale Optimization
Accurate Markov Boundary Discovery for Causal Feature Selection
On Nonstationary Gaussian Process Model for Solving Data-Driven Optimization Problems
Asymmetric Cooperation Control of Dual-Arm Exoskeletons Using Human Collaborative Manipulation Models
KE-RCNN: Unifying Knowledge-Based Reasoning Into Part-Level Attribute Parsing
Adaptive Event-Triggered Control for Uncertain Nonlinear Full-State Constrained CPSs Under Deception Attacks
Rule-Based Modeling With DBSCAN-Based Information Granules
Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation
Mathematical Biodynamic Feedthrough Model Applied to Rotorcraft
Road Disturbance Estimation and Cloud-Aided Comfort-Based Route Planning
Adaptive Neural Event-Triggered Control for Discrete-Time Strict-Feedback Nonlinear Systems
Multiscale Amplitude Feature and Significance of Enhanced Vocal Tract Information for Emotion Classification
Granular Computing for Machine Learning: Pursuing New Development Horizons
Many-to-Many Superpixel Matching for Robust Tracking
Radial Basis Function Based Neural Network for Motion Detection in Dynamic Scenes
Asynchronous Distributed Event-Triggered Coordination for Multiagent Coverage Control
Quasi-Projective Synchronization of Discrete-Time Fractional-Order Delayed Memristive Neural Networks With Uncertainties
Admissibility Analysis for Interval Type-2 Fuzzy Descriptor Systems Based on Sliding Mode Control
A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems
View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
Stability and Stabilization for Fuzzy Systems With Time Delay by Applying Polynomial Membership Function and Iteration Algorithm
Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning
Data-Driven Discovery of Block-Oriented Nonlinear Models Using Sparse Null-Subspace Methods
Evolutionary Fractional-Order Extended Kalman Filter of Cyber-Physical Power Systems
Finite-Time Event-Triggered Output Consensus of Heterogeneous Fractional-Order Multiagent Systems With Intermittent Communication
Multirobot Exploration While Building Power-Efficient Sensor Networks in Three Dimensions
Classifying Discriminative Features for Blur Detection
Intelligent-Critic-Based Tracking Control of Discrete-Time Input-Affine Systems and Approximation Error Analysis With Application Verification
Input-to-State Stability of Impulsive Systems via Event-Triggered Impulsive Control
A Switched System Approach to Exponential Stabilization of Sampled-Data T-S Fuzzy Systems With Packet Dropouts
Decentralized Output Sliding-Mode Fault-Tolerant Control for Heterogeneous Multiagent Systems
Bilateral Cooperative Control of Nonlinear Multiagent Systems With State and Output Quantification
Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems
An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization
Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process
Bio-Inspired Representation Learning for Visual Attention Prediction
A Graph-Based Time-Frequency Two-Stream Network for Multistep Prediction of Key Performance Indicators in Industrial Processes
Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread
Observer-Based Event-Triggered Containment Control for MASs Under DoS Attacks
Perturbation Analysis for Finite-Time Stability and Stabilization of Probabilistic Boolean Networks
Fuzzy Clustering Guided by Spectral Rotation and Scaling
Observer-Based Consensus Control for Discrete-Time Multiagent Systems With Coding-Decoding Communication Protocol
Adaptive Coordinated Formation Control of Heterogeneous Vertical Takeoff and Landing UAVs Subject to Parametric Uncertainties
Discriminative Cross-Modal Transfer Learning and Densely Cross-Level Feedback Fusion for RGB-D Salient Object Detection
Optimal Modality Selection for Cooperative Human-Robot Task Completion
Learning Optimized Structure of Neural Networks by Hidden Node Pruning With L 1 Regularization
Dual-Environmental Particle Swarm Optimizer in Noisy and Noise-Free Environments
PageRank Tracker: From Ranking to Tracking
Improved Stability Criteria for Discrete-Time Delayed Neural Networks via Novel Lyapunov-Krasovskii Functionals
Distributed Fault Estimation and Fault-Tolerant Control of Interconnected Systems
A Novel Bipartite Consensus Tracking Control for Multiagent Systems Under Sensor Deception Attacks
Synchronization and Adaptive Control of an Array of Linearly Coupled Reaction-Diffusion Neural Networks With Hybrid Coupling
Stochastic Synchronization of Markovian Jump Neural Networks With Time-Varying Delay Using Sampled Data
Deep Reinforcement Learning Framework for Category-Based Item Recommendation
An Iterative Greedy Algorithm for Solving a Multiobjective Distributed Assembly Flexible Job Shop Scheduling Problem With Fuzzy Processing Time
Adaptive Robust Formation Control of Connected and Autonomous Vehicle Swarm System Based on Constraint Following
Integrated Channel-Aware Scheduling and Packet-Based Predictive Control for Wireless Cloud Control Systems
Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images
Neural Network-Based Control of Networked Trilateral Teleoperation With Geometrically Unknown Constraints
Stability Analysis of Sampled-Data Systems Based on Sawtooth-Characteristic-Based Hierarchical Integral Inequality
Helper and Equivalent Objectives: Efficient Approach for Constrained Optimization
Scale and Orientation Invariant Text Segmentation for Born-Digital Compound Images
Optimal Control-Based Adaptive NN Design for a Class of Nonlinear Discrete-Time Block-Triangular Systems
Distributed Synchronization Control of Multiagent Systems With Unknown Nonlinearities
Learning High-Dimensional Evolving Data Streams With Limited Labels
The Roles of Feedback and Feedforward as Humans Learn to Control Unknown Dynamic Systems
Adaptive Synchronization for Neutral-Type Neural Networks with Stochastic Perturbation and Markovian Switching Parameters
Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach
Output Feedback Control and Stabilization for Networked Control Systems With Packet Losses
Multiagent Adversarial Collaborative Learning via Mean-Field Theory
Genetic-Algorithm-Assisted Sliding-Mode Control for Networked State-Saturated Systems Over Hidden Markov Fading Channels
Spectral-Spatial Shared Linear Regression for Hyperspectral Image Classification
Multivehicle Flocking With Collision Avoidance via Distributed Model Predictive Control
A Subspace Search-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization and Application
Global-and-Local Collaborative Learning for Co-Salient Object Detection
How to Predict Bifurcations Induced by Fractional Order in Delayed Large-Scale Neural Networks
A Multiform Optimization Framework for Constrained Multiobjective Optimization
New Fixed-Time Stability Analysis of Delayed Discontinuous Systems via an Augmented Indefinite Lyapunov-Krasovskii Functional
Robust Adaptive Leader-Following Formation Control of Nonlinear Multiagents Using Three-Layer Neural Networks
Discrete-Time Optimal Control via Local Policy Iteration Adaptive Dynamic Programming
Improving the Critic Learning for Event-Based Nonlinear H ∞ Control Design
Learning With ℓ 1 -Regularizer Based on Markov Resampling
A Hierarchical Data-Driven Predictive Control of Image-Based Visual Servoing Systems With Unknown Dynamics
Learning Human Behavior in Shared Control: Adaptive Inverse Differential Game Approach
ModuleNet: Knowledge-Inherited Neural Architecture Search
Fast-RCM: Fast Tree-Based Unsupervised Rare-Class Mining
Adaptive Predefined-Time Bipartite Consensus Tracking Control of Constrained Nonlinear MASs: An Improved Nonlinear Mapping Function Method
Supervisory Nonlinear State Observers for Adversarial Sparse Attacks
A Regularization Approach for Instance-Based Superset Label Learning
Weak Disambiguation for Partial Structured Output Learning
Lifelong Dual Generative Adversarial Nets Learning in Tandem
On the Crossroad of Artificial Intelligence: A Revisit to Alan Turing and Norbert Wiener
Hierarchical Ensemble of Background Models for PTZ-Based Video Surveillance
On Two Sensors Scheduling for Remote State Estimation With a Shared Memory Channel in a Cyber-Physical System Environment
Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling
A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts
Attack Detection for Multisensor Cyber-Physical Systems With Unknown-But-Bounded Noises: A Zonotopic Approach
Distributed Optimization of Multiagent Systems Subject to Inequality Constraints
Hybrid Variable Monitoring Mixture Model for Anomaly Detection in Industrial Processes
Automated Adjustment of Region-Based Active Contour Parameters Using Local Image Geometry
Learning Graph Embedding With Adversarial Training Methods
Adaptive Consensus Control for Nonlinear Multiagent Systems With Unknown Control Directions Using Event-Triggered Communication
Maximum Likelihood Estimation for Multiple Camera Target Tracking on Grassmann Tangent Subspace
Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods
An Iterative Co-Saliency Framework for RGBD Images
Reinforcement-Learning-Based Finite Time Fault Tolerant Control for a Manipulator With Actuator Faults
Adaptive Fuzzy Tracking Control for Strict-Feedback Markov Jumping Nonlinear Systems With Actuator Failures and Unmodeled Dynamics
Event-Triggered Adaptive Fuzzy Tracking Control With Guaranteed Transient Performance for MIMO Nonlinear Uncertain Systems
TS-DM: A Time Segmentation-Based Data Stream Learning Method for Concept Drift Adaptation
Fault-Tolerant Control of Stochastic High-Order Fully Actuated Systems
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning
Fuzzy Output Tracking Control and Filtering for Nonlinear Discrete-Time Descriptor Systems Under Unreliable Communication Links
Achieving Convex Optimization Within Prescribed Time for Networked Euler-Lagrange Systems: A Novel Adaptive Distributed Approach With Small-Gain Conditions
Memory-Based Event-Triggered Output Regulation for Networked Switched Systems With Unstable Switching Dynamics
Sampled-Data Stochastic Stabilization of Markovian Jump Systems via an Optimizing Mode-Separation Method
Sampled Memory-Event-Triggered Fuzzy Load Frequency Control for Wind Power Systems Subject to Outliers and Transmission Delays
RecapNet: Action Proposal Generation Mimicking Human Cognitive Process
Adaptive Neural Network-Based Asynchronous Control for Switching Cyber-Physical Systems With Unknown Dead Zone
The Future of Process Industry: A Cyber-Physical-Social System Perspective
Distributed Fuzzy Adaptive Output-Feedback Control of Unknown Nonlinear Multiagent Systems in Strict-Feedback Form
Necessary and Sufficient Conditions for Consensus of Second-Order Multiagent Systems Under Directed Topologies Without Global Gain Dependency
Active Multitask Learning With Trace Norm Regularization Based on Excess Risk
Distributed Optimal Consensus Problem of Input Constrained Nonlinear Discrete-Time MASs: A Mode-Free Reinforcement Learning Approach
Minimal-Approximation-Based Decentralized Backstepping Control of Interconnected Time-Delay Systems
Thermal Augmented Expression Recognition
Fully-Distributed Neural-Network-Based Approaches for Monotonic Game With Finite-Time Disturbance Rejection
Robust Second-Order Consensus Using a Fixed-Time Convergent Sliding Surface in Multiagent Systems
Privacy Masking Stochastic Subgradient-Push Algorithm for Distributed Online Optimization
An Arbitrarily Predefined-Time Convergent RNN for Dynamic LMVE With Its Applications in UR3 Robotic Arm Control and Multiagent Systems