yusuke1997/dblp-id-title huggingface dataset:
Intelligent Knowledge Distribution: Constrained-Action POMDPs for Resource-Aware Multiagent Communication
Distributed Pinning Control: Stabilizing Large Boolean Networks Subjected to Perturbations
Dynamic Event-Triggered Platooning Control of Automated Vehicles Under Random Communication Topologies and Various Spacing Policies
Regularizing Knowledge Transfer in Recommendation With Tag-Inferred Correlation
Quasisynchronization of Delayed Neural Networks With Discontinuous Activation Functions on Time Scales via Event-Triggered Control
Consensus for Second-Order Multiagent Systems Under Two Types of Sampling Mechanisms: A Time-Varying Gain Observer Method
MOO-MDP: An Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning
Adaptive Neural Network Control of a Marine Vessel With Constraints Using the Asymmetric Barrier Lyapunov Function
MOEA/D With Linear Programming for Double Row Layout Problem With Center-Islands
Game Design and Analysis for Price-Based Demand Response: An Aggregate Game Approach
Cooperative Adaptive Iterative Learning Fault-Tolerant Control Scheme for Multiple Subway Trains
Robust Pointing Control of Marching Tank Gun With Matched and Mismatched Uncertainty
Handling Dynamic Multiobjective Optimization Environments via Layered Prediction and Subspace-Based Diversity Maintenance
Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization
A Dynamic Path Planning Approach for Multirobot Sensor-Based Coverage Considering Energy Constraints
Distributed Formation Navigation of Constrained Second-Order Multiagent Systems With Collision Avoidance and Connectivity Maintenance
Large-Scale Neural Networks With Asymmetrical Three-Ring Structure: Stability, Nonlinear Oscillations, and Hopf Bifurcation
Finite-Time Consensus of Stochastic Delayed Multiagent Systems Subject to Lévy Noise, Markov Switching, and Actuator Fault Uncertainties
Reservoir Computing for Drone Trajectory Intent Prediction: A Physics Informed Approach
Fuzzy Adaptive Consensus Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults
Designing Hyperchaotic Cat Maps With Any Desired Number of Positive Lyapunov Exponents
Pinning Stabilization of Stochastic Networks With Finite States via Controlling Minimal Nodes
Reaching Synchronization in Networked Harmonic Oscillators With Outdated Position Data
DEC: Dynamically Evolving Clustering and Its Application to Structure Identification of Evolving Fuzzy Models
Scene Parsing From an MAP Perspective
Improved Space Forest: A Meta Ensemble Method
Fuzzy Control of Uncertain Positive Markov Jump Fuzzy Systems With Input Constraint
On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification
Multilevel 2-D Quantum Wavelet Transforms
Dissipativity-Based Fault-Tolerant Control for Stochastic Switched Systems With Time-Varying Delay and Uncertainties
Distributed Dynamic Event-Triggered Control for Multiagent Systems Under FDI Attack via ESN-Based Adaptive Dynamic Programming
Observer-Based Adaptive Fuzzy Fault-Tolerant Optimal Control for SISO Nonlinear Systems
Self-Triggered Impulsive Control for a Class of Nonlinear Systems With Exogenous Disturbances
Adaptive Optimized Backstepping Control-Based RL Algorithm for Stochastic Nonlinear Systems With State Constraints and Its Application
Social Voting Advice Applications - Definitions, Challenges, Datasets and Evaluation
Hybrid Machine Learning Approach for Evapotranspiration Estimation of Fruit Tree in Agricultural Cyber-Physical Systems
Adaptive Inverse Optimal Neuromuscular Electrical Stimulation
A New Framework for Analysis on Stability and Bifurcation in a Class of Neural Networks With Discrete and Distributed Delays
Strip Features for Fast Object Detection
Triple Archives Particle Swarm Optimization
Integral-Type Event-Triggered Model Predictive Control of Nonlinear Systems With Additive Disturbance
Secure Decentralized Event-Triggered Load Frequency Control Design for Multiarea Power Systems Under Multiple DoS Attacks
Model-Free Adaptive Fault-Tolerant Formation Control for Nonlinear MIMO Multiagent Systems Over Fading Channels
Joint Optimal Transport With Convex Regularization for Robust Image Classification
Context-Aware Deep Spatiotemporal Network for Hand Pose Estimation From Depth Images
Commonality and Individuality-Based Subspace Learning
Local Synchronization of Chaotic Neural Networks With Sampled-Data and Saturating Actuators
A Distributed Fuzzy Associative Classifier for Big Data
Bit-Rate Conditions for the Consensus of Quantized Multiagent Systems With Network-Induced Delays Based on Event Triggering
Distributed Dynamic Event-Triggered Consensus Protocol for General Linear Multiagent Systems Without Accurate System Information
Mathematical and Experimental Analyses of Oppositional Algorithms
Distributed $Q$ -Learning-Based Online Optimization Algorithm for Unit Commitment and Dispatch in Smart Grid
Synchronization of Coupled Neutral-Type Neural Networks With Jumping-Mode-Dependent Discrete and Unbounded Distributed Delays
A Drift Region-Based Data Sample Filtering Method
On Integral Invariants for Effective 3-D Motion Trajectory Matching and Recognition
Novel Extended State Observer Design for Uncertain Nonlinear Systems via Refined Dynamic Event-Triggered Communication Protocol
Hessian Semisupervised Scatter Regularized Classification Model With Geometric and Discriminative Information for Nonlinear Process
A Unified Event-Triggered Control Approach for Uncertain Pure-Feedback Systems With or Without State Constraints
Positivity and Stability Analysis of T-S Fuzzy Descriptor Systems With Bounded and Unbounded Time-Varying Delays
Toward Simultaneous Visual Comfort and Depth Sensation Optimization for Stereoscopic 3-D Experience
Distributed Bilevel Constrained Optimization via Multiagent System Approaches
QUAD-Condition, Synchronization, Consensus of Multiagents, and Anti-Synchronization of Complex Networks
Adaptively Weighted k-Tuple Metric Network for Kinship Verification
Fault Estimation and Control for Unknown Discrete-Time Systems Based on Data-Driven Parameterization Approach
Observed-Based Adaptive Fuzzy Tracking Control for Switched Nonlinear Systems With Dead-Zone
Information-Theory-based Nondominated Sorting Ant Colony Optimization for Multiobjective Feature Selection in Classification
Deep Multiview Union Learning Network for Multisource Image Classification
Stochastic Fixed Point Optimization Algorithm for Classifier Ensemble
Distributed Optimization Design of Continuous-Time Multiagent Systems With Unknown-Frequency Disturbances
A Product Fuzzy Convolutional Network for Detecting Driving Fatigue
Sampled-Data Control for the Synchronization of Boolean Control Networks
Modeling Human Control of Self-Motion Direction With Optic Flow and Vestibular Motion
Transfer Learning Under Conditional Shift Based on Fuzzy Residual
A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem
ECML: An Ensemble Cascade Metric-Learning Mechanism Toward Face Verification
Finite-Time Fuzzy Bounded Control for Semilinear PDE Systems With Quantized Measurements and Markov Jump Actuator Failures
A Novel Adaptive Gain Strategy for Stochastic Learning Control
Graph Convolutional Network-Based Method for Fault Diagnosis Using a Hybrid of Measurement and Prior Knowledge
Texture Classification and Retrieval Using Shearlets and Linear Regression
Massive Maritime Path Planning: A Contextual Online Learning Approach
Multidomain Evolutionary Optimization on Combinatorial Problems in Complex Networks
3-D Rigid Body Tracking Using Vision and Depth Sensors
Multiview Deep Subspace Clustering Networks
Functional Nonlinear Model Predictive Control Based on Adaptive Dynamic Programming
Game-Based Memetic Algorithm to the Vertex Cover of Networks
An Iterated Greedy Heuristic for Mixed No-Wait Flowshop Problems
Adaptive Compressive Tracking via Online Vector Boosting Feature Selection
Output Reachable Set-Based Leader-Following Consensus of Positive Agents Over Switching Networks
Development of a Real-Time Objective Gas-Liquid Flow Regime Identifier Using Kernel Methods
Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization
Neural Network-Based Adaptive Boundary Control of a Flexible Riser With Input Deadzone and Output Constraint
A Progressive Semi-Distillation Model for Dual-Source Remote Sensing Image Classification
Recent Development in Big Data Analytics for Business Operations and Risk Management
Neural-Network-Based Adaptive Tracking Control for Nonlinear Multiagent Systems: The Observer Case
Flexible Performance-Based Control for Nonlinear Systems Under Strong External Disturbances
Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates
Zonotopic Distributed Fusion Over Binary Sensor Networks With Bit Rate Allocation: A Coding-Decoding Approach
Lifelong Learning-Based Optimal Trajectory Tracking Control of Constrained Nonlinear Affine Systems Using Deep Neural Networks
Data-Based Tampered-Data Recovery Strategy With Encoding Against Stealthy Attack for Unknown Discrete-Time Systems
Announcing a Name Change and New Scope
Robust Camera Translation Estimation via Rank Enforcement
Segment-Based Predominant Learning Swarm Optimizer for Large-Scale Optimization
Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection
Deep Network Embedding for Graph Representation Learning in Signed Networks
A Quasi-Dense Matching Approach and its Calibration Application with Internet Photos
Limited Rationality and Its Quantification Through the Interval Number Judgments With Permutations
Energy-Efficient and Robust In-Network Inference in Wireless Sensor Networks
A Generalized Supertwisting Algorithm
A Hybrid Controller for Musculoskeletal Robots Targeting Lifting Tasks in Industrial Metaverse
Roto-Translation Invariant Formation of Multiple Underactuated Planar Rigid Bodies
Generalized Learning Vector Quantization With Log-Euclidean Metric Learning on Symmetric Positive-Definite Manifold
Observer-Based Output Feedback MPC for T-S Fuzzy System With Data Loss and Bounded Disturbance
A Memetic Algorithm for Global Optimization of Multimodal Nonseparable Problems
Scheduling-Guided Automatic Processing of Massive Hyperspectral Image Classification on Cloud Computing Architectures
Cooperative Differential Evolution Framework for Constrained Multiobjective Optimization
Wavelet Frame-Based Fuzzy C-Means Clustering for Segmenting Images on Graphs
A Probabilistic Model of Social Working Memory for Information Retrieval in Social Interactions
A Nonaugmented Method for the Minimal Observability of Boolean Networks
Event-Triggered Communication-Based Control for Strict-Feedback Nonlinear Systems
Improving the Generalization Capacity of Cascade Classifiers
The Graphical Conditions for Controllability of Multiagent Systems Under Equitable Partition
Adaptive Finite-Time Controller Design for T-S Fuzzy Systems
Simultaneous Obstacle Avoidance and Target Tracking of Multiple Wheeled Mobile Robots With Certified Safety
Robust Stability of Recurrent Neural Networks With Time-Varying Delays and Input Perturbation
Hybrid Adaptive Classifier Ensemble
Real-Time H ∞ Control of Networked Inverted Pendulum Visual Servo Systems
Multisurrogate-Assisted Multitasking Particle Swarm Optimization for Expensive Multimodal Problems
Hazard Detection for Motorcycles via Accelerometers: A Self-Organizing Map Approach
Visual-Tactile Fused Graph Learning for Object Clustering
A New Evolutionary Algorithm with Structure Mutation for the Maximum Balanced Biclique Problem
Network Formation: Neighborhood Structures, Establishment Costs, and Distributed Learning
Distributed Robust Kalman Filtering for Markov Jump Systems With Measurement Loss of Unknown Probabilities
Distributed Set-Membership Fusion Filtering for Nonlinear 2-D Systems Over Sensor Networks: An Encoding-Decoding Scheme
On Pinning Linear and Adaptive Synchronization of Multiple Fractional-Order Neural Networks With Unbounded Time-Varying Delays
Information Granulation-Based Fuzzy Clustering of Time Series
Output-Feedback Self-Synchronization of Directed Lur'e Networks via Global Connectivity
Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing
An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States
Dynamic Boundary Fuzzy Control Design of Semilinear Parabolic PDE Systems With Spatially Noncollocated Discrete Observation
Locally Weighted Ensemble Clustering
Synchronization of Multiple Reaction-Diffusion Neural Networks With Heterogeneous and Unbounded Time-Varying Delays
Modal Regression-Based Atomic Representation for Robust Face Recognition and Reconstruction
Hierarchical Feature Extraction With Local Neural Response for Image Recognition
Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images
Robust Model Predictive Control of a Gait Rehabilitation Exoskeleton With Whole Body Motion Planning and Neuro-Dynamics Optimization
Collectively Rotating Formation and Containment Deployment of Multiagent Systems: A Polar Coordinate-Based Finite Time Approach
An Adaptive Multipopulation Differential Evolution With Dynamic Population Reduction
Reinforced Extreme Learning Machines for Fast Robust Regression in the Presence of Outliers
Observer-Based Self-Triggered Resilient Control for Multiagent Systems: A k-Connected Graph Construction Approach
Cooperative Output Regulation Quadratic Control for Discrete-Time Heterogeneous Multiagent Markov Jump Systems
Unified Fuzzy Control of High-Order Nonlinear Systems With Multitype State Constraints
Data-Based Optimal Control of Multiagent Systems: A Reinforcement Learning Design Approach
MAS-Based Distributed Resilient Control for a Class of Cyber-Physical Systems With Communication Delays Under DoS Attacks
Progressive Learning Strategy for Few-Shot Class-Incremental Learning
Distributed Algorithm Design for Nonsmooth Resource Allocation Problems
Dynamic Hybrid Models With Active Sampling and Adaptive Selection of Double-Domain Features for the Tuning of Microwave Cavity Filters
Elastic-Net Prefiltering for Two-Class Classification
Autocorrelation Feature Analysis for Dynamic Process Monitoring of Thermal Power Plants
Design of Hybrid Event-Triggered Containment Controllers for Homogeneous and Heterogeneous Multiagent Systems
SnapVideo: Personalized Video Generation for a Sightseeing Trip
Reliable Filtering With Strict Dissipativity for T-S Fuzzy Time-Delay Systems
Vibration Control for Flexible Manipulators With Event-Triggering Mechanism and Actuator Failures
Group Reidentification with Multigrained Matching and Integration
An Efficient Matching Game Approach to Association Formation in UAV-Enabled Hierarchical Distributed Learning
S-CoEA: Subproblems Co-Solving Evolutionary Algorithm for Uncertain Optimization
Source Aware Deep Learning Framework for Hand Kinematic Reconstruction Using EEG Signal
Active Learning of Regular Expressions for Entity Extraction
Nonsmooth Continuous-Time Distributed Algorithms for Seeking Generalized Nash Equilibria of Noncooperative Games via Digraphs
Formation Tracking Control for Heterogeneous Multiagent Systems With Multiple Nonautonomous Leaders via Dynamic Event-Triggered Mechanisms
A New Predefined Time Zeroing Neural Network With Drop Conservatism for Matrix Flows Inversion and Its Application
Nonlinear Dynamic Model for Visual Object Tracking on Grassmann Manifolds With Partial Occlusion Handling
Distributed Robust Optimization in Networked System
Fixed-Time Neural Adaptive Control for Nonlinear Asymmetric Constrained Systems Subject to Time-Varying Input Delay
Key Nodes Selection in Controlling Complex Networks via Convex Optimization
Semi-Global and Global Fixed-Time Stability for Nonlinear Impulsive Systems
Symmetrical Hierarchical Stochastic Searching on the Line in Informative and Deceptive Environments
Toward Safer Navigation of Heterogeneous Mobile Robots in Distributed Scheme: A Novel Time-to-Collision-Based Method
Layered Affine Formation Control of Networked Uncertain Systems: A Fully Distributed Approach Over Directed Graphs
Accelerometer-Based Gait Recognition by Sparse Representation of Signature Points With Clusters
Real-Time Posture Reconstruction for Microsoft Kinect
Denoising Hyperspectral Image With Non-i.i.d. Noise Structure
WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory
Sparsity-Constrained Invariant Risk Minimization for Domain Generalization With Application to Machinery Fault Diagnosis Modeling
Event-Triggered Fault Detection Filter Design for Discrete-Time Memristive Neural Networks With Time Delays
Highly Efficient Framework for Predicting Interactions Between Proteins
Multiobjective Genome-Wide RNA-Binding Event Identification From CLIP-Seq Data
Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning
Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence
Accelerating Convolutional Neural Networks by Removing Interspatial and Interkernel Redundancies
Marginally Stable Triangular Recurrent Neural Network Architecture for Time Series Prediction
Adapting Decomposed Directions for Evolutionary Multiobjective Optimization
Robust Hashing With Local Models for Approximate Similarity Search
Full Representation Data Embedding via Nonoverlapping Historical Features
Toward Bridging Microexpressions From Different Domains
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification
Model-Free Cooperative Adaptive Sliding-Mode-Constrained-Control for Multiple Linear Induction Traction Systems
An Interpretable Unsupervised Unrolling Network for Hyperspectral Pansharpening
Event-Triggered Attitude Consensus of Multiple Rigid Body Systems With Prescribed Performance
Two New Discrete-Time Neurodynamic Algorithms Applied to Online Future Matrix Inversion With Nonsingular or Sometimes-Singular Coefficient
Event-Triggered Control for Markov Jump Systems Subject to Mismatched Modes and Strict Dissipativity
Learning Self-Triggered Controllers With Gaussian Processes
Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies
Neural PID Control of Robot Manipulators With Application to an Upper Limb Exoskeleton
Two-Level LSTM for Sentiment Analysis With Lexicon Embedding and Polar Flipping
Event-Triggered Distributed Secondary Control With Model-Free Predictive Compensation in AC/DC Networked Microgrids Under DoS Attacks
Necessary and Sufficient Conditions for Consensus of Fractional-Order Multiagent Systems via Sampled-Data Control
A Stabilized Feedback Episodic Memory (SF-EM) and Home Service Provision Framework for Robot and IoT Collaboration
An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems
Experimental Evaluation of a Game-Theoretic Human Driver Steering Control Model
Combining Reflexes and External Sensory Information in a Neuromusculoskeletal Model to Control a Quadruped Robot
Cancellation-Based Nonquadratic Controller Design for Nonlinear Systems via Takagi-Sugeno Models
Energy-Efficient Distributed Formation Control of Sampled-Data Multiagent Systems With Packet Losses
Approximate Dynamic Programming for Nonlinear-Constrained Optimizations
Optimal Robust Output Containment of Unknown Heterogeneous Multiagent System Using Off-Policy Reinforcement Learning
Novel Discretized Weak Estimators Based on the Principles of the Stochastic Search on the Line Problem
Solving Potential Games With Dynamical Constraint
Weakly Supervised Human Fixations Prediction
End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables
Communication and Interaction With Semiautonomous Ground Vehicles by Force Control Steering
Stabilization of Discrete-Time Stochastic Delayed Neural Networks by Intermittent Control
Object Activity Scene Description, Construction, and Recognition
Finite-Time Fault-Tolerant Control via Fully Actuated System Approaches
Distributed Finite-Time Containment Control for Nonlinear Multiagent Systems With Mismatched Disturbances
Trajectory Planning and Optimized Adaptive Control for a Class of Wheeled Inverted Pendulum Vehicle Models
Fault Detection for a Class of Uncertain Sampled-Data Systems Using Deterministic Learning
A Framework of Camera Source Identification Bayesian Game
Fault Reconstruction Algorithm for Fractional-Order Nonlinear Switching Systems Based on Optimal Fault-Tolerant Control
Robust Formation Tracking Control for Noncooperative Heterogeneous Multiagent Systems
Zero-Error Tracking Control Under Unified Quantized Iterative Learning Framework via Encoding-Decoding Method
SpaSSA: Superpixelwise Adaptive SSA for Unsupervised Spatial-Spectral Feature Extraction in Hyperspectral Image
A Discriminative Cross-Aligned Variational Autoencoder for Zero-Shot Learning
Learning Saliency by MRF and Differential Threshold
Intelligent Visual Acuity Estimation System With Hand Motion Recognition
Disturbance Observer-Based Adaptive Chainlike Filter Approach for Prescribed-Time Consensus Tracking of Nonlinear Multiagent Systems via Dynamic State and Input Triggering
Iterative Learning Control of Minimum Energy Path Following Tasks for Second-Order MIMO Systems: An Indirect Reference Update Framework
A Robust Semi-Supervised Broad Learning System Guided by Ensemble-Based Self-Training
Consensus-Based Odor Source Localization by Multiagent Systems
Coordination Between Unmanned Aerial and Ground Vehicles: A Taxonomy and Optimization Perspective
Stability Analysis for Cyber-Physical Systems Under Denial-of-Service Attacks
Neuroadaptive Finite-Time Control for Nonlinear MIMO Systems With Input Constraint
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments
Detection of Moving Objects Using Multi-channel Kernel Fuzzy Correlogram Based Background Subtraction
NOSEP: Nonoverlapping Sequence Pattern Mining With Gap Constraints
PRDP: Person Reidentification With Dirty and Poor Data
Alternating Direction Method of Multipliers for Convolutive Non-Negative Matrix Factorization
Output Containment Control of Linear Heterogeneous Multi-Agent Systems Using Internal Model Principle
Adaptive Component Embedding for Domain Adaptation
A Punishment Mechanism-Combined Recurrent Neural Network to Solve Motion-Planning Problem of Redundant Robot Manipulators
AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications
Geometric Hypergraph Learning for Visual Tracking
Appropriate Learning Rates of Adaptive Learning Rate Optimization Algorithms for Training Deep Neural Networks
General Dimensional Multiple-Output Support Vector Regressions and Their Multiple Kernel Learning
Absent Multiview Semisupervised Classification
Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression
Prescribed Performance Fault-Tolerant Control of Strict-Feedback Systems via Error Shifting
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach
Distributed Adaptive Fault-Tolerant Formation-Containment Control With Prescribed Performance for Heterogeneous Multiagent Systems
Image Search Reranking With Hierarchical Topic Awareness
Multistep Intent Estimation Guided Adaptive Passive Control for Safety-Aware Physical Human-Robot Collaboration
No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization
A Novel DoS-Attack-Aware Event-Triggered Synchronization Control for Discrete-Time Fuzzy Complex Networks Under Round-Robin Protocol
Delay-Dependent Stability for Load Frequency Control System via Linear Operator Inequality
A Clustering-Based Approach to Enriching Code Foraging Environment
Adaptive Fuzzy Collision-Free Formation Control for Nonlinear MASs Under Communication Delays
A Driving Performance Forecasting System Based on Brain Dynamic State Analysis Using 4-D Convolutional Neural Networks
Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm