yusuke1997/dblp-id-title huggingface dataset:
A Three-Domain Fuzzy Support Vector Regression for Image Denoising and Experimental Studies
Efficient and Robust Learning for Sustainable and Reacquisition-Enabled Hand Tracking
Two Fast Complex-Valued Algorithms for Solving Complex Quadratic Programming Problems
Distributed Differential Evolution With Adaptive Resource Allocation
Output Feedback Synthesis for Networked Control Systems With Packet Dropouts and Multiple Probability Sampling Periods: The Stochastic Communication Protocol Case
A Heuristic Distributed Task Allocation Method for Multivehicle Multitask Problems and Its Application to Search and Rescue Scenario
Adaptive Sliding Mode Consensus Tracking for Second-Order Nonlinear Multiagent Systems With Actuator Faults
Weighted Gate Layer Autoencoders
Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation
A Novel Local Community Detection Method Using Evolutionary Computation
Unfalsified Visual Servoing for Simultaneous Object Recognition and Pose Tracking
Inter-Algorithm Multiobjective Cooperation for Phylogenetic Reconstruction on Amino Acid Data
Data-Driven Evolutionary Algorithm With Perturbation-Based Ensemble Surrogates
NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation
Observer-Based Dynamic Event-Triggered Semiglobal Bipartite Consensus of Linear Multi-Agent Systems With Input Saturation
Industrial Metaverse-Based Intelligent PID Optimal Tuning System for Complex Industrial Processes
Set Stabilization of Probabilistic Boolean Control Networks: A Sampled-Data Control Approach
Finite-Time $H_{\infty}$ Filtering for Nonlinear Singular Systems With Nonhomogeneous Markov Jumps
Adaptive Virotherapy Strategy for Organism With Constrained Input Using Medicine Dosage Regulation Mechanism
Learning Flexible Graph-Based Semi-Supervised Embedding
Observer-Based Adaptive Decentralized Control for Interconnected Time-Delay Nonlinear Fully Actuated Systems With Nonsmooth Actuator Dynamics
Policy-Iteration-Based Asynchronous Control of Jump Systems With Hidden Mode Observation and H ∞ Disturbance Attenuation
Event-Triggered Stabilizing Bit Rate Conditions for an n-Dimensional Linear System With i.i.d. Feedback Dropouts
A Novel Scalable and Reliable Control for DC Microgrids With Varying Number of Agents
Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization
Finite-Time Command-Filtered Composite Adaptive Neural Control of Uncertain Nonlinear Systems
Distributed Energy-Based Estimation Over Harvesting-Constrained Sensor Networks
Event-Triggered Nonsingular Terminal Sliding-Mode Control
Structure Sensitive Hashing With Adaptive Product Quantization
A New Aggregation of DNN Sparse and Dense Labeling for Saliency Detection
Deep Correlated Joint Network for 2-D Image-Based 3-D Model Retrieval
New Insights Into Diversification of Hyper-Heuristics
Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search
Communication Security and Stability in NNCSs: Realistic DoS Attacks Model and ISTA-Supervised Adaptive Event-Triggered Controller Design
Discriminative Joint-Feature Topic Model With Dual Constraints for WCE Classification
Seeking Tracking Consensus for General Linear Multiagent Systems With Fixed and Switching Signed Networks
Asymptotic Feedback Stabilization of Boolean Control Networks With Random Impulsive Disturbances
Discrete-Time Control Barrier Function: High-Order Case and Adaptive Case
Adaptive Event-Triggered Finite-Frequency Fault Detection With Zonotopic Threshold Analysis for LPV Systems
GAN-Based Key Secret-Sharing Scheme in Blockchain
Integrating Conventional and Inverse Representation for Face Recognition
Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite
Event-Triggered Adaptive Preassigned Finite-Time Consensus Control for Multiagent Systems With Nonlinear Faults
Combating Negative Transfer From Predictive Distribution Differences
Multitask, Multilabel, and Multidomain Learning With Convolutional Networks for Emotion Recognition
Bayesian Transfer Filtering Using Pseudo Marginal Measurement Likelihood
Active Learning for Estimating Reachable Sets for Systems With Unknown Dynamics
Multiobject Tracking by Submodular Optimization
Spectral-Temporal Receptive Field-Based Descriptors and Hierarchical Cascade Deep Belief Network for Guitar Playing Technique Classification
Distributed Predefined-Time Convergent Algorithm for Solving Time-Varying Resource Allocation Problem Over Directed Networks
RRV: A Spatiotemporal Descriptor for Rigid Body Motion Recognition
Adaptive Control of Nonlinear Semi-Markovian Jump T-S Fuzzy Systems With Immeasurable Premise Variables via Sliding Mode Observer
Robust Sliding Mode-Based Learning Control for MIMO Nonlinear Nonminimum Phase System in General Form
Differential Evolution With Auto-Enhanced Population Diversity
Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition
Similar Formation Control via Range and Odometry Measurements
Fuzzy Adaptive Output Feedback Control of Uncertain Nonlinear Systems With Prescribed Performance
Cumulative Capacitated Colored Traveling Salesman Problem
A Benchmark Test Suite for Dynamic Evolutionary Multiobjective Optimization
A Multiobjective Evolutionary Algorithm Based on Objective-Space Localization Selection
Regularized Primal-Dual Subgradient Method for Distributed Constrained Optimization
Robust Multiobjective Competitive Swarm Optimization Based on Evolutionary Trend Prediction
An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems
Adaptive NN Tracking Control of Uncertain Nonlinear Discrete-Time Systems With Nonaffine Dead-Zone Input
Dynamics of Metabolism and Decision Making During Alcohol Consumption: Modeling and Analysis
Feature Selection Based on Neighborhood Self-Information
A Parallel and Incremental Approach for Data-Intensive Learning of Bayesian Networks
Optimal Strategy Estimation of Random Evolutionary Boolean Games
Optimal Robot-Environment Interaction Under Broad Fuzzy Neural Adaptive Control
Graph Learning for Multiview Clustering
Dynamic Output Feedback Linear Quadratic Control for CPSs Under Sparse Attacks
Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation
Real-Time Multimedia Social Event Detection in Microblog
Projection-Based Ensemble Learning for Ordinal Regression
Long-Term Prediction Model for Fuzzy Granular Time Series Based on Trend Filter Decomposition and Ensemble Learning
Resilient Time-Varying Formation Tracking Control for General Linear Multiagent Systems With a Nonautonomous Leader and Adversarial Followers
A Three-Level Radial Basis Function Method for Expensive Optimization
Adaptive Norm Selection for Regularized Image Restoration and Super-Resolution
Real-Time Multiple Human Perception With Color-Depth Cameras on a Mobile Robot
Trans-Causalizing NAT-Modeled Bayesian Networks
Finite-Time Consensus Tracking for Incommensurate Fractional-Order Nonlinear Multiagent Systems With Directed Switching Topologies
A Directionally Selective Small Target Motion Detecting Visual Neural Network in Cluttered Backgrounds
Weighted Joint Sparse Representation for Removing Mixed Noise in Image
Efficient Multidimensional Pipelined Chaotic Bulk-Codewords-Encryption for Cloud Control Systems
Learning a Mahalanobis Distance-Based Dynamic Time Warping Measure for Multivariate Time Series Classification
A Modular Event-Triggered Containment Control Scheme for Nonlinear Heterogeneous Multiagent Systems With Unknown Leaders
Bipartite Consensus for Second-Order Multiagent Systems With Matrix-Weighted Signed Network
A Layered Event-Triggered Consensus Scheme
Scene Categorization by Deeply Learning Gaze Behavior in a Semisupervised Context
Pseudo-Label Guided Collective Matrix Factorization for Multiview Clustering
Distributed Fault-Tolerant Containment Control for Linear Heterogeneous Multiagent Systems: A Hierarchical Design Approach
Contextual Correlation Preserving Multiview Featured Graph Clustering
Relative Attribute SVM+ Learning for Age Estimation
Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes
Stability of Time-Varying Hybrid Stochastic Delayed Systems With Application to Aperiodically Intermittent Stabilization
Infinite-Horizon Optimal Control of Switched Boolean Control Networks With Average Cost: An Efficient Graph-Theoretical Approach
Event-Based Consensus for Linear Multiagent Systems Without Continuous Communication
Rigidity-Based Multiagent Layered Formation Control
Learning Scale-Adaptive Tight Correlation Filter for Object Tracking
RBDF: Reciprocal Bidirectional Framework for Visible Infrared Person Reidentification
Dissipativity Analysis for T-S Fuzzy System Under Memory Sampled-Data Control
Guaranteeing Performance Robust Control for Human-Machine Systems With Optimal Human Decision
Visual Words Assignment Via Information-Theoretic Manifold Embedding
Regret-Theoretic Multiattribute Decision-Making Model Using Three-Way Framework in Multiscale Information Systems
Facilitating Image Search With a Scalable and Compact Semantic Mapping
Random Walk-Based Solution to Triple Level Stochastic Point Location Problem
A Multirobot Person Search System for Finding Multiple Dynamic Users in Human-Centered Environments
Differential Graphical Games for Constrained Autonomous Vehicles Based on Viability Theory
Adaptive Sensor Fault Accommodation for Vehicle Active Suspensions via Partial Measurement Information
Discriminative Geometric-Structure-Based Deep Hashing for Large-Scale Image Retrieval
Fixed-Time Fault Estimation and Prescribed Performance Fault-Tolerant Control for Interconnected Systems
A Generalized Methodology for Data Analysis
Security Control of Safety-Critical Systems
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation
Convergence of Evolutionary Algorithms on the $n$ -Dimensional Continuous Space
Automatic Facial Expression Recognition System Using Deep Network-Based Data Fusion
An Embedded Hamiltonian Graph-Guided Heuristic Algorithm for Two-Echelon Vehicle Routing Problem
Adaptive Neural Network-Based Finite-Time Online Optimal Tracking Control of the Nonlinear System With Dead Zone
A Semi-Supervised Method for Surveillance-Based Visual Location Recognition
Dynamic Regret of Quantized Distributed Online Bandit Optimization in Zero-Sum Games
Cooperative Global Robust Practical Output Regulation of Nonlinear Lower Triangular Multiagent Systems via Event-Triggered Control
Decentralized Adaptive Secure Control of Uncertain Nonlinear Time-Varying Interconnected Systems Against Sensor and Actuator Attacks
Automatic 2.5-D Facial Landmarking and Emotion Annotation for Social Interaction Assistance
Force-Based Algorithm for Motion Planning of Large Agent
Visual Servoing of Flexible-Link Manipulators by Considering Vibration Suppression Without Deformation Measurements
Prespecified-Performance-Driven Triggering Consensus of Nonlinear Multiagent Systems With Unknown Actuator Faults
Finite-Level Quantized Min-Consensus Control Based on Encoding-Decoding
Distributed Randomized Gradient-Free Optimization Protocol of Multiagent Systems Over Weight-Unbalanced Digraphs
Event-Triggered Data-Driven Security Formation Control for Quadrotors Under Denial-of-Service Attacks and Communication Faults
Cooperative Output Regulation of LTI Plant via Distributed Observers With Local Measurement
Local Community Detection Algorithm Based on Alternating Strategy of Strong Fusion and Weak Fusion
Finite-Time Stabilizers for Large-Scale Stochastic Boolean Networks
Fisher Discriminant Analysis With L1-Norm
Distributed Partial Quantum Consensus of Qubit Networks With Connected Topologies
Distributed and Time-Delayed -Winner-Take-All Network for Competitive Coordination of Multiple Robots
Leveraged Matrix Completion With Noise
Online and Unsupervised Anomaly Detection for Streaming Data Using an Array of Sliding Windows and PDDs
Event-Triggered ILC for Optimal Consensus at Specified Data Points of Heterogeneous Networked Agents With Switching Topologies
Connectivity-Preserving Approach for Distributed Adaptive Synchronized Tracking of Networked Uncertain Nonholonomic Mobile Robots
Hybrid Event-Triggered Cooperative Output Regulation of Multiagent Systems With Unreliable Communication Link
Robust Perturbed Output Regulation and Synchronization of Nonlinear Heterogeneous Multiagents
Learning-Based Adaptive Attitude Control of Spacecraft Formation With Guaranteed Prescribed Performance
SR-EM: Episodic Memory Aware of Semantic Relations Based on Hierarchical Clustering Resonance Network
Learning Stylometric Representations for Authorship Analysis
p Components of Cluster-Lag Consensus for Second-Order Multiagent Systems With Adaptive Controller on Cooperative-Competitive Networks
ADG-Net: A Sim2Real Multimodal Learning Framework for Adaptive Dexterous Grasping
A Decentralized Control and Task Allocation Framework for Heterogeneous Redundant Multiagent Systems
A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System
Modified Tracking Performance of NCSs Over Erasure Channel and Its Applications in Vehicle Control
Fine-Grained Interactive Transformers for Continuous Dynamic Link Prediction
Approximation of Fuzzy Sets by Interval Type-2 Trapezoidal Fuzzy Sets
Lateralized Learning to Solve Complex Boolean Problems
Group-Wise Learning for Aurora Image Classification With Multiple Representations
Purely Contrastive Multiview Subspace Clustering
Distributed Model Reference Adaptive Optimization of Disturbed Multiagent Systems With Intermittent Communications
Adaptive Bearing-Only Formation Tracking Control for Nonholonomic Multiagent Systems
Finite-Time Synchronization of Complex Dynamical Networks With Input Saturation
An Efficient Method for Traffic Sign Recognition Based on Extreme Learning Machine
Trajectory Tracking and Obstacle Avoidance for Wheeled Mobile Robots Based on EMPC With an Adaptive Prediction Horizon
Predictor-Based Feedback Control for Discrete-Time Time-Variant Linear State-Delayed Systems With Distinct Input Delays via State Transition Matrices
Delta Divergence: A Novel Decision Cognizant Measure of Classifier Incongruence
Many-Objective Job-Shop Scheduling: A Multiple Populations for Multiple Objectives-Based Genetic Algorithm Approach
Analysis of the Compressed Distributed Kalman Filter Over Markovian Switching Topology
Event-Triggered Distributed Hypothesis Testing for Multiagent Networks Based on Observations Cumulation
Hierarchical Distributed Control for Global Network Integrity Preservation in Multirobot Systems
Semisupervised Bayesian Gaussian Mixture Models for Non-Gaussian Soft Sensor
Robust Estimation of Upscaling Factor on Double JPEG Compressed Images
A Route Clustering and Search Heuristic for Large-Scale Multidepot-Capacitated Arc Routing Problem
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification
Machine-Made Synthesis of Stabilization System by Modified Cartesian Genetic Programming
Boosting for Multi-Graph Classification
Observer Design of Discrete-Time Fuzzy Systems Based on an Alterable Weights Method
A Novel Interval Type-2 Fuzzy System Identification Method Based on the Modified Fuzzy C-Regression Model
Automatically Generating Natural Language Descriptions of Images by a Deep Hierarchical Framework
Scaled Group Consensus in Multiagent Systems With First/Second-Order Continuous Dynamics
Distributed Time-Varying Optimization - An Output Regulation Approach
Fault Estimation for Fuzzy Delay Systems: A Minimum Norm Least Squares Solution Approach
Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering
Expertise Finding in Bibliographic Network: Topic Dominance Learning Approach
Fast and Robust Attribute Reduction Based on the Separability in Fuzzy Decision Systems
Variational Bayesian Approach for Causality and Contemporaneous Correlation Features Inference in Industrial Process Data
A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals - Part II
Robust Tensor SVD and Recovery With Rank Estimation
Quantized Adaptive Finite-Time Bipartite NN Tracking Control for Stochastic Multiagent Systems
A Multistage Approach for Image Registration
Transductive Zero-Shot Learning With a Self-Training Dictionary Approach
Discriminating Power of Centrality Measures in Complex Networks
Differential Evolution With Ranking-Based Mutation Operators
Learning Heuristics With Different Representations for Stochastic Routing
Fuzzy Intermittent Control for Nonlinear Coupled Delayed PDE-ODE Systems
Balance Preferences with Performance in Group Role Assignment
Consensus Problem Over High-Order Multiagent Systems With Uncertain Nonlinearities Under Deterministic and Stochastic Topologies
Exploiting Global Low-Rank Structure and Local Sparsity Nature for Tensor Completion
Nonfragile Sampled-Data Control for Uncertain Networked Control Systems With Additive Time-Varying Delays
Optimal Output-Feedback Control of Unknown Continuous-Time Linear Systems Using Off-policy Reinforcement Learning
Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis
Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder
Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data
The Generalization Ability of SVM Classification Based on Markov Sampling
Nonlinear Systems Modeling Based on Self-Organizing Fuzzy-Neural-Network With Adaptive Computation Algorithm
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
Constraint Co-Projections for Semi-Supervised Co-Clustering
Decentralized Time-Delay Control Using Partial Variables With Measurable States for a Class of Interconnected Systems With Time Delays
New Decentralized H ∞ Filter Design for Nonlinear Interconnected Systems Based on Takagi-Sugeno Fuzzy Models
A Consistency and Consensus-Based Goal Programming Method for Group Decision-Making With Interval-Valued Intuitionistic Multiplicative Preference Relations
Distributed Q-Learning Algorithm for Dynamic Resource Allocation With Unknown Objective Functions and Application to Microgrid
Minimum-Cost State-Flipped Control for Reachability of Boolean Control Networks Using Reinforcement Learning
Bayesian-Stackelberg-Game-Based Finite-Time Sliding Mode Fault-Tolerant Secure Control for Cyber-Physical Systems Under Jamming Attacks and Multiple Physical Faults
Periodic Event-Triggered Model Predictive Control for Networked Nonlinear Uncertain Systems With Disturbances
Large-Scale linguistic Z-Number Belief Rule Base Methodology for Multidimensional and Unreliable Knowledge Representation and Learning
Memristor-Based Neural Network Circuit of Full-Function Pavlov Associative Memory With Time Delay and Variable Learning Rate
A Fuzzy Clustering Validity Index Induced by Triple Center Relation
Escape Analysis on the Confinement-Escape Problem of a Defender Against an Evader Escaping From a Circular Region
Active Fault-Tolerant and Attack-Resilient Control for a Renewable Microgrid Against Power-Loss Faults and Data Integrity Attacks
Cooperative Time-Varying Formation Fuzzy Tracking Control of Multiple Heterogeneous Uncertain Marine Surface Vehicles With Actuator Failures
Popov-Type Criterion for Consensus in Nonlinearly Coupled Networks
Adaptive Granulation-Based Prediction for Energy System of Steel Industry
H∞ Control for Observer-Based Non-Negative Edge Consensus of Discrete-Time Networked Systems
Improved Safe Tracking Error-Constrained Control for Unknown Interconnected Time-Delay Nonlinear Systems With Discontinuous References
D-BIN: A Generalized Disentangling Batch Instance Normalization for Domain Adaptation
Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis
Global Finite-Time Stabilization for Uncertain Systems With Unknown Measurement Sensitivity
Expressive Body Movement Responses to Music Are Coherent, Consistent, and Low Dimensional
Dual Differential Grouping: A More General Decomposition Method for Large-Scale Optimization
Semi-Supervised Linear Discriminant Clustering
Reinforcement Learning-Based Optimal Sensor Placement for Spatiotemporal Modeling
Pricing Mechanism With Noncooperative Game and Revenue Sharing Contract in Electricity Market
Key Frame Extraction in the Summary Space
Integrated Modular Neural Control for Versatile Locomotion and Object Transportation of a Dung Beetle-Like Robot
Blind Domain Adaptation With Augmented Extreme Learning Machine Features
Variational Bayesian Student's-t Mixture Model With Closed-Form Missing Value Imputation for Robust Process Monitoring of Low-Quality Data
Adaptive Bipartite Tracking Control of Nonlinear Multiagent Systems With Input Quantization
FLeAC: A Human-Centered Associative Classifier Using the Validity Concept
Memristor Neural Networks for Linear and Quadratic Programming Problems
Transferable Adaptive Differential Evolution for Many-Task Optimization
Deep Citywide Multisource Data Fusion-Based Air Quality Estimation
Critical Classes and Samples Discovering for Partial Domain Adaptation
Locally Linear Approximation Approach for Incomplete Data
An Efficient Leave-One-Out Cross-Validation-Based Extreme Learning Machine (ELOO-ELM) With Minimal User Intervention
An Evolutionary Algorithm Based on Minkowski Distance for Many-Objective Optimization
Multiple Mittag-Leffler Stability of Fractional-Order Complex-Valued Memristive Neural Networks With Delays
Pinning Synchronization of Multiplex Delayed Networks With Stochastic Perturbations
Cooperative Exploration and Networking While Preserving Collision Avoidance
Abstract Convex Underestimation Assisted Multistage Differential Evolution
A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data
Flexibility Degree of Fuzzy Numbers and its Implication to a Group-Decision-Making Model
Convex Non-Negative Matrix Factorization With Adaptive Graph for Unsupervised Feature Selection
Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications
Loop-Box: Multiagent Direct SLAM Triggered by Single Loop Closure for Large-Scale Mapping
Iterative Learning Control With Data-Driven-Based Compensation
Synchronization of a Group of Mobile Agents With Variable Speeds Over Proximity Nets
Optimization Landscape of Policy Gradient Methods for Discrete-Time Static Output Feedback
Memetic Search for Identifying Critical Nodes in Sparse Graphs
Principal Predictor Analysis With Application to Dynamic Process Monitoring
H∞ Filtering for 2-D Discrete-Time Periodic Markov Jump Systems With Multiplicative Noise: A Periodic HMM Approach
Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
Active Event-Triggered Control for Nonlinear Networked Control Systems With Communication Constraints
Multistep Q-Learning-Based Optimal Consensus Control of Linear Discrete-Time Multiagent Systems
Observer-Based Event-Triggering Consensus Control for Multiagent Systems With Lossy Sensors and Cyber-Attacks
GrpAvoid: Multigroup Collision-Avoidance Control and Optimization for UAV Swarm
Structure Learning of Deep Gaussian and Non-Gaussian Information Fusion Framework for Automated Predictive Data Analytics
Distributed Task Rescheduling With Time Constraints for the Optimization of Total Task Allocations in a Multirobot System
Unsupervised Eyeglasses Removal in the Wild
FM-3DFR: Facial Manipulation-Based 3-D Face Reconstruction
OligoIS: Scalable Instance Selection for Class-Imbalanced Data Sets
A Novel AdaBoost Framework With Robust Threshold and Structural Optimization
Uncertainty-Aware Management of Smart Grids Using Cloud-Based LSTM-Prediction Interval
Weakly Supervised Low-Rank Representation for Hyperspectral Anomaly Detection
A Generic Deep-Learning-Based Approach for Automated Surface Inspection
Class-Specific Kernel Discriminant Analysis Revisited: Further Analysis and Extensions
A Large-Scale Multiobjective Particle Swarm Optimizer With Enhanced Balance of Convergence and Diversity