yusuke1997/dblp-id-title huggingface dataset:
Groupwise Label Enhancement Broad Learning System for Image Classification
Output-Based Dynamic Event-Triggered Mechanisms for Disturbance Rejection Control of Networked Nonlinear Systems
An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design
Guest Editorial Special Issue on Robust Cooperative Control for Heterogeneous Nonlinear Multiagent Systems
Neural-Network-Based Adaptive Singularity-Free Fixed-Time Attitude Tracking Control for Spacecrafts
Internal/Boundary Control-Based Fixed-Time Synchronization for Spatiotemporal Networks
A New Sampled-Data Output-Feedback Controller Design of Nonlinear Systems via Fuzzy Affine Models
Particle Swarm Optimized Autonomous Learning Fuzzy System
Ensemble Teaching for Hybrid Label Propagation
Predictive Observer-Based Dual-Rate Prescribed Performance Control for Visual Servoing of Robot Manipulators With View Constraints
Automatic Search-and-Replace From Examples With Coevolutionary Genetic Programming
Tube-Based Output Feedback Robust MPC for LPV Systems With Scaled Terminal Constraint Sets
Adjustable Parameter-Based Distributed Fault Estimation Observer Design for Multiagent Systems With Directed Graphs
A Generic Human-Machine Annotation Framework Based on Dynamic Cooperative Learning
Polynomial Controller Synthesis for Uncertain Large-Scale Polynomial T-S Fuzzy Systems
Robust Leaderless Time-Varying Formation Control for Nonlinear Unmanned Aerial Vehicle Swarm System With Communication Delays
Free-Viewpoint Video of Human Actors Using Multiple Handheld Kinects
Deeply Encoding Stable Patterns From Contaminated Data for Scenery Image Recognition
Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation
Adaptive Granularity Learning Distributed Particle Swarm Optimization for Large-Scale Optimization
Achieving Distributed Convex Optimization Within Prescribed Time for High-Order Nonlinear Multiagent Systems
Stabilization of Interval Type-2 Fuzzy-Based Reliable Sampled-Data Control Systems
Extended State Functional Observer-Based Event-Driven Disturbance Rejection Control for Discrete-Time Systems
Multiparty Secure Broad Learning System for Privacy Preserving
Data-Driven Tracking Control With Adaptive Dynamic Programming for a Class of Continuous-Time Nonlinear Systems
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering
Adaptively Adjusted Event-Triggering Mechanism on Fault Detection for Networked Control Systems
Spectrum-Based Kernel Length Estimation for Gaussian Process Classification
Infrared Ship Target Segmentation Based on Spatial Information Improved FCM
Observer-Based Multiagent Bipartite Consensus With Deterministic Disturbances and Antagonistic Interactions
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data
Domain Space Transfer Extreme Learning Machine for Domain Adaptation
System Transformation-Based Neural Control for Full-State-Constrained Pure-Feedback Systems via Disturbance Observer
Locally Weighted Principal Component Analysis-Based Multimode Modeling for Complex Distributed Parameter Systems
Hyperspectral Anomaly Detection by Graph Pixel Selection
Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier
Decentralized Observer-Based Controller Synthesis for a Large-Scale Polynomial T-S Fuzzy System With Nonlinear Interconnection Terms
Quantized Control of Markov Jump Nonlinear Systems Based on Fuzzy Hidden Markov Model
Time-Series Clustering Based on the Characterization of Segment Typologies
Deep Learning Versus Traditional Solutions for Group Trajectory Outliers
Content-Based Visual Landmark Search via Multimodal Hypergraph Learning
Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity
Lifeisgood: Learning Invariant Features via In-Label Swapping for Generalizing Out-of-Distribution in Machine Fault Diagnosis
Multilabel Feature Extraction Algorithm via Maximizing Approximated and Symmetrized Normalized Cross-Covariance Operator
A Multiobjective Genetic Programming-Based Ensemble for Simultaneous Feature Selection and Classification
Necessary and Sufficient Conditions for Consensus of Continuous-Time Multiagent Systems With Markovian Switching Topologies and Communication Noises
Quaternion Locality-Constrained Coding for Color Face Hallucination
User Participation in Collaborative Filtering-Based Recommendation Systems: A Game Theoretic Approach
State Responses of Several Classes of Linear Systems Based on Fundamental Matrices
A Hybrid Level Set With Semantic Shape Constraint for Object Segmentation
A Partial Joint Optimization Algorithm for Autonomous Air Combat Based on Hierarchical Reinforcement Learning
Introducing Memory and Association Mechanism Into a Biologically Inspired Visual Model
Evolutionary Divide-and-Conquer Algorithm for Virus Spreading Control Over Networks
Genetic Programming for Instance Transfer Learning in Symbolic Regression
Multiple Attacks Detection in Cyber-Physical Systems Using Random Finite Set Theory
Risk Assessment for Mobile Systems Through a Multilayered Hierarchical Bayesian Network
A Memetic Algorithm for the Location-Based Continuously Operating Reference Stations Placement Problem in Network Real-Time Kinematic
Event-Triggered Quantized Quasisynchronization of Uncertain Quaternion-Valued Chaotic Neural Networks With Time-Varying Delay for Image Encryption
Interval MULTIMOORA Method Integrating Interval Borda Rule and Interval Best-Worst-Method-Based Weighting Model: Case Study on Hybrid Vehicle Engine Selection
A Bio-Inspired Safety Control System for UAVs in Confined Environment With Disturbance
Evolutionary Optimization Under Uncertainty: The Strategies to Handle Varied Constraints for Fluid Catalytic Cracking Operation
Co-Learning Bayesian Optimization
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems
Partition Independent Set and Reduction-Based Approach for Partition Coloring Problem
Resilient Adaptive Neural Control for Uncertain Nonlinear Systems With Infinite Number of Time-Varying Actuator Failures
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy
Coupled Dictionary Learning for the Detail-Enhanced Synthesis of 3-D Facial Expressions
Robust Point Set Registration Using Signature Quadratic Form Distance
Robust Collision-Avoidance Formation Navigation of Velocity and Input-Constrained Multirobot Systems
Adaptive Fuzzy Asymptotic Tracking Control of State-Constrained High-Order Nonlinear Time-Delay Systems and Its Applications
Secure Adaptive Event-Triggered Control for Cyber-Physical Power Systems Under Denial-of-Service Attacks
Necessary and Sufficient Conditions for Event-Triggered Set Stabilizability of Markovian Jump Logical Networks
A Robust Vision-Based Sensor Fusion Approach for Real-Time Pose Estimation
Continuous and Periodic Event-Triggered Sliding-Mode Control for Path Following of Underactuated Surface Vehicles
Adaptive Neural Network Fixed-Time Leader-Follower Consensus for Multiagent Systems With Constraints and Disturbances
Increasing Interpretation of Web Topic Detection via Prototype Learning From Sparse Poisson Deconvolution
Composite Particle Swarm Optimizer With Historical Memory for Function Optimization
Memory Shapelet Learning for Early Classification of Streaming Time Series
A Variable Search Space Strategy Based on Sequential Trust Region Determination Technique
Sliding-Mode Control for Sojourn-Probability-Based Switching Systems With Cyber-Attacks
Geographical Topics Learning of Geo-Tagged Social Images
Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains
Secure Control for Markov Jump Cyber-Physical Systems Subject to Malicious Attacks: A Resilient Hybrid Learning Scheme
Daedalus: Breaking Nonmaximum Suppression in Object Detection via Adversarial Examples
Neural Networks for On-Chip Model Predictive Control: A Method to Build Optimized Training Datasets and its Application to Type-1 Diabetes
Adaptive Finite-Time Fuzzy Control of Nonlinear Active Suspension Systems With Input Delay
NMF-Based Image Quality Assessment Using Extreme Learning Machine
Optimized Assistive Human-Robot Interaction Using Reinforcement Learning
H₂-H∞ Composite Control for Singularly Perturbed Systems With Finite-Frequency Performances
Online Signature Verification Based on DCT and Sparse Representation
Granular Fuzzy Rule-Based Modeling With Incomplete Data Representation
Deep Reinforcement Learning Framework-Based Flow Rate Rejection Control of Soft Magnetic Miniature Robots
An Incentive Mechanism-Based Minimum Adjustment Consensus Model Under Dynamic Trust Relationship
Adaptive Task-Space Cooperative Tracking Control of Networked Robotic Manipulators Without Task-Space Velocity Measurements
Block Principal Component Analysis With Nongreedy ℓ 1 -Norm Maximization
Coherence Scaling of Noisy Second-Order Scale-Free Consensus Networks
mi-DS: Multiple-Instance Learning Algorithm
Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification
Novel Fixed-Time Stability Criteria for Discontinuous Nonautonomous Systems: Lyapunov Method With Indefinite Derivative
Q-Learning for Feedback Nash Strategy of Finite-Horizon Nonzero-Sum Difference Games
Formation Learning Control of Multiple Autonomous Underwater Vehicles With Heterogeneous Nonlinear Uncertain Dynamics
Sampled-Data Stabilization for Boolean Control Networks With Infinite Stochastic Sampling
Event-Triggered Consensus of Linear Multiagent Systems With Time-Varying Communication Delays
An Efficient Variable Projection Formulation for Separable Nonlinear Least Squares Problems
Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning
Inner-Imaging Networks: Put Lenses Into Convolutional Structure
Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization
Safety-Based Speed Control of a Wheelchair Using Robust Adaptive Model Predictive Control
EV Hosting Capacity Enhancement in a Community Microgrid Through Dynamic Price Optimization-Based Demand Response
Robust Formation Control for Multiple Quadrotors With Nonlinearities and Disturbances
Guest Editorial From Intelligent Control to Smart Management of Cyber-Physical-Social Systems: A Celebration of 70th Anniversary of Cybernetics by Norbert Wiener
Robust H∞ Pinning Synchronization for Multiweighted Coupled Reaction-Diffusion Neural Networks
A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems
Composite Observer-Based Optimal Attitude-Tracking Control With Reinforcement Learning for Hypersonic Vehicles
Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes
A Multipopulation-Based Multiobjective Evolutionary Algorithm
A Physics-Guided Coordinated Distributed MPC Method for Shape Control of an Antenna Reflector
Static and Dynamic Synthesis of Bengali and Devanagari Signatures
Multiobjective Integrated Optimal Control for Nonlinear Systems
Enhanced Reduced-Order Extended State Observer for Motion Control of Differential Driven Mobile Robot
Fusing Visual and Behavioral Cues for Modeling User Experience in Games
A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery
Partial Label Learning via Gaussian Processes
Cooperative Finitely Excited Learning for Dynamical Games
Event-Based Rendezvous Control for a Group of Robots With Asynchronous Periodic Detection and Communication Time Delays
Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection
WaSR - A Water Segmentation and Refinement Maritime Obstacle Detection Network
Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine
Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification
A Degree-Dependent Polynomial-Based Reciprocally Convex Matrix Inequality and Its Application to Stability Analysis of Delayed Neural Networks
Fixed-Time Fuzzy Control for a Class of Nonlinear Systems
RL-Based Adaptive Fuzzy Optimized Tracking Control for Constrained Switched Stochastic Nonlinear Systems: A Modified AED-ADT Method
Cooperative Control of Multiple Nonlinear Benchmark Systems Perturbed by Second-Order Moment Processes
Robust Audio-Visual Speech Recognition Under Noisy Audio-Video Conditions
Dynamic-Memory Event-Based Asynchronous Attack Detection Filtering for a Class Of Nonlinear Cyber-Physical Systems
A Multimodal Data Processing System for LiDAR-Based Human Activity Recognition
Weak Monotonicity With Trend Analysis for Unsupervised Feature Evaluation
Prescribed-Time Event-Triggered Bipartite Consensus of Multiagent Systems
Addi-Reg: A Better Generalization-Optimization Tradeoff Regularization Method for Convolutional Neural Networks
A Novel Protocol-Free Bandage-Cover Cryptographer
Variance-Constrained State Estimation for Nonlinearly Coupled Complex Networks
Performance-Based Hierarchical Fault-Tolerant Control for Closed-Loop Systems With Multiplicative Faults: A Data-Driven Design Method
Multiple Mittag-Leffler Stability of Delayed Fractional-Order Cohen-Grossberg Neural Networks via Mixed Monotone Operator Pair
FingHV: Efficient Sharing and Fine-Grained Scheduling of Virtualized HPU Resources
Data-Driven Event-Triggered Adaptive Dynamic Programming Control for Nonlinear Systems With Input Saturation
Distributed Bounds on the Algebraic Connectivity of Graphs With Application to Agent Networks
Key Point Detection by Max Pooling for Tracking
Consensus Control of Second-Order Time-Delayed Multiagent Systems in Noisy Environments Using Absolute Velocity and Relative Position Measurements
MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans
Retarded Sampled-Data Control Design for Interconnected Power System With DFIG-Based Wind Farm: LMI Approach
Decentralized Adaptive Secure Control of Nonlinear NCSs Under Hybrid Attacks via Event-Triggering
Reliable Mixed H ∞ and Passivity-Based Control for Fuzzy Markovian Switching Systems With Probabilistic Time Delays and Actuator Failures
Distributed Dynamic Event-Triggered Control for Cooperative Output Regulation of Linear Multiagent Systems
AIA-Net: Adaptive Interactive Attention Network for Text-Audio Emotion Recognition
Metaverse for the Energy Industry: Technologies, Applications, and Solutions
Fully Distributed Adaptive Consensus Control of a Class of High-Order Nonlinear Systems With a Directed Topology and Unknown Control Directions
Adversarial Learning for Multiscale Crowd Counting Under Complex Scenes
Adaptive Fuzzy Output-Constrained Fault-Tolerant Control of Nonlinear Stochastic Large-Scale Systems With Actuator Faults
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition
Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns
An Augmented Game Approach for Design and Analysis of Distributed Learning Dynamics in Multiagent Games
Safe Reinforcement Learning: Optimal Formation Control With Collision Avoidance of Multiple Satellite Systems
Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection
Symmetric All Convolutional Neural-Network-Based Unsupervised Feature Extraction for Hyperspectral Images Classification
Index Tracking via Temporally Weighted Least Squares and Gaussian Process Regressions
Multilayer Online Sequential Reduced Kernel Extreme Learning Machine-Based Modeling for Time-Varying Distributed Parameter Systems
Stronger Convergence Results for the Center-Based Fuzzy Clustering With Convex Divergence Measure
Adaptive Neural Network Control Using Nonlinear Information Gain for Permanent Magnet Synchronous Motors
Scaled Position Consensus of High-Order Uncertain Multiagent Systems Over Switching Directed Graphs
MGRCDA: Metagraph Recommendation Method for Predicting CircRNA-Disease Association
Critic Learning-Based Control for Robotic Manipulators With Prescribed Constraints
Reinforcement Learning for H∞ Optimal Control of Unknown Continuous-Time Linear Systems
Predicting Citation Count of Scientists as a Link Prediction Problem
Optimal Fully Actuated System Approach-Based Trajectory Tracking Control for Robot Manipulators
A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis
Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming
Finite-Time and Fixed-Time Synchronization of Coupled Memristive Neural Networks With Time Delay
Motor-Imagery-Based Brain-Computer Interface Using Signal Derivation and Aggregation Functions
Finite-Time Output Synchronization and H ∞ Output Synchronization of Coupled Neural Networks With Multiple Output Couplings
Variational Information Inference: An Interpretable Disentangled Transfer Learning Quality Prediction for Multirate Industrial Processes
Nonconvex Structural Sparsity Residual Constraint for Image Restoration
Plug-and-Play Distributed Control of Large-Scale Nonlinear Systems
Analysis and Pinning Control for Output Synchronization and $\mathcal{H}_{\infty}$ Output Synchronization of Multiweighted Complex Networks
Guest Editorial Special Issue on Monitoring and Control in Cyber-Physical Systems: Security, Resilience, and Privacy
Some Novel Results on Stability Analysis of Generalized Neural Networks With Time-Varying Delays via Augmented Approach
Learning Performance of Weighted Distributed Learning With Support Vector Machines
Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems
An ACP-Based Parallel Approach for Color Image Encryption Using Redundant Blocks
High-Level Decision Making in a Hierarchical Control Framework: Integrating HMDP and MPC for Autonomous Systems
Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles
Cooperative Coevolutionary Bare-Bones Particle Swarm Optimization With Function Independent Decomposition for Large-Scale Supply Chain Network Design With Uncertainties
Observer-Based Adaptive Fuzzy Control for Nonlinear State-Constrained Systems Without Involving Feasibility Conditions
Neural Network-Based Sliding Mode Control for Semi-Markov Jumping Systems With Singular Perturbation
Boundary Sampled-Data Synchronization of Delayed Reaction-Diffusion Neural Networks
Observer-Based Optimal Backstepping Security Control for Nonlinear Systems Using Reinforcement Learning Strategy
Solvability and Normalization of General Singular Boolean Networks via Admissible and Normal Initial State Sets
Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points
Learning With Selected Features
Automatic Symmetry Detection From Brain MRI Based on a 2-Channel Convolutional Neural Network
A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals - Part I
Popularity Modeling for Mobile Apps: A Sequential Approach
An Implicit Function-Based Adaptive Control Scheme for Noncanonical-Form Discrete-Time Neural-Network Systems
Distributed Secure Cooperative Control Under Denial-of-Service Attacks From Multiple Adversaries
Active Learning for Object Detection With Vectorized Dual Pseudo Loss and Multiple Instance Offset Constraint
Remote State Estimation for Nonlinear Systems via a Fading Channel: A Risk-Sensitive Approach
Trajectory-Based Scene Understanding Using Dirichlet Process Mixture Model
IT2 Fuzzy-Rough Sets and Max Relevance-Max Significance Criterion for Attribute Selection
Output Consensus of Heterogeneous Linear Discrete-Time Multiagent Systems With Structural Uncertainties
Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks
Complementary Attributes: A New Clue to Zero-Shot Learning
Toward Generalization of Automated Temporal Abstraction to Partially Observable Reinforcement Learning
Data-Based Optimal Synchronization Control for Discrete-Time Nonlinear Heterogeneous Multiagent Systems
Secure Event-Triggered Consensus Control of Linear Multiagent Systems Subject to Sequential Scaling Attacks
ALSA: Adversarial Learning of Supervised Attentions for Visual Question Answering
Image and Video Restorations via Nonlocal Kernel Regression
Fixed-Time Adaptive Fuzzy Control for Nonstrict Feedback High-Order Stochastic Nonlinear Systems With State Constraints
Partial Tubal Nuclear Norm-Regularized Multiview Subspace Learning
Compensation-Based Output Feedback Control for Fuzzy Markov Jump Systems With Random Packet Losses
Intermittent Discrete Observation Control for Synchronization of Stochastic Neural Networks
Robust Weighted-Average Continuous-Time Consensus With Communication Time Delay
Corrections to "Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation"
Continuous Stabilization Controller for Nonlinear Systems With Two Piecewise Controllers and Its Application to Underactuated Ships
Distributed Event-Triggered Consensus of Multiagent Systems With Communication Delays: A Hybrid System Approach
Robust Inverse Q-Learning for Continuous-Time Linear Systems in Adversarial Environments
Perspective on Wearable Systems for Human Underwater Perceptual Enhancement
Image Pair Analysis With Matrix-Value Operator
A Hierarchical Security Control Framework of Nonlinear CPSs Against DoS Attacks With Application to Power Sharing of AC Microgrids
Dissipativity-Based Reliable Control for Fuzzy Markov Jump Systems With Actuator Faults
Particle Swarm Optimization With Interswarm Interactive Learning Strategy
Distributed LMMSE Estimation for Large-Scale Systems Based on Local Information
Hierarchical Spatiotemporal Graph Regularized Discriminative Correlation Filter for Visual Object Tracking
Discrete-Time Non-Zero-Sum Games With Completely Unknown Dynamics
Prescribed Performance Adaptive Fuzzy Containment Control for Nonlinear Multiagent Systems Using Disturbance Observer
Robust Filtering for Nonlinear Nonhomogeneous Markov Jump Systems by Fuzzy Approximation Approach
A Novel Mean-Field-Game-Type Optimal Control for Very Large-Scale Multiagent Systems
Distributed Event-Based Control for Thermostatically Controlled Loads Under Hybrid Cyber Attacks
Multiobjective Multifactorial Optimization in Evolutionary Multitasking
A Genetic-Algorithm-Based Explicit Description of Object Contour and its Ability to Facilitate Recognition
Sampled-Data-Based Event-Triggered Active Disturbance Rejection Control for Disturbed Systems in Networked Environment
Discounted Inverse Reinforcement Learning for Linear Quadratic Control
Robust Packetized MPC for Networked Systems Subject to Packet Dropouts and Input Saturation With Quantized Feedback
Preview-Based Discrete-Time Dynamic Formation Control Over Directed Networks via Matrix-Valued Laplacian
An Evolutionary Algorithm With Constraint Relaxation Strategy for Highly Constrained Multiobjective Optimization
Attribute Selection for Partially Labeled Categorical Data By Rough Set Approach
Half-Face Dictionary Integration for Representation-Based Classification
Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation
Adaptive Bipartite Hybrid Event-Triggered Output Consensus of Heterogeneous Uncertain Multiagent Systems Under Fixed and Switching Topologies
New Criteria on Stability of Dynamic Memristor Delayed Cellular Neural Networks
Task-Driven Reinforcement Learning With Action Primitives for Long-Horizon Manipulation Skills
Inaccurate-Supervised Learning With Generative Adversarial Nets
Multiobjective Differential Evolution for Feature Selection in Classification
Cooperative Robots to Observe Moving Targets: Review
A Localized Event-Driven Resilient Mechanism for Cooperative Microgrid Against Data Integrity Attacks
Mayer-Type Optimal Control of Probabilistic Boolean Control Network With Uncertain Selection Probabilities
Speeding-Up Association Rule Mining With Inverted Index Compression
On Ordered Weighted Averaging Operator and Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems
Evolving and Incremental Value Iteration Schemes for Nonlinear Discrete-Time Zero-Sum Games