yusuke1997/dblp-id-title huggingface dataset:
Towards a Comprehensive Taxonomy of Pointwise Reliability Assessment Techniques for Machine Learning Models
Aggregation of Basic Uncertain Information With Two-Step Aggregation Frame
Collaborative Learning-Based Industrial IoT API Recommendation for Software-Defined Devices: The Implicit Knowledge Discovery Perspective
Semantic Fusion Enhanced Event Detection via Multi-Graph Attention Network with Skip Connection
Tagging Multi-Label Categories to Points of Interest From Check-In Data
Attacking VQA Systems via Adversarial Background Noise
System Network Complexity: Network Evolution Subgraphs of System State Series
Deep Image Feature Learning With Fuzzy Rules
LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling
Three Branches of Negative Representation of Information: A Survey
Wavefront-Based Multiple Rumor Sources Identification by Multi-Task Learning
A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm
Sample-Based Continuous Approximation for Computing Probabilistic Boundary of Future State Trajectory in Uncertain Dynamical Systems
Pedestrian Retrieval Using Generated Samples and Multistream Layer in Sensor Networks
Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation
Parallelizing Under-Determined Inverse Problems for Network Applications
Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios
Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach With Correlation-Driven Refinement
ARC: A Layer Replacement Compression Method Based on Fine-Grained Self-Attention Distillation for Compressing Pre-Trained Language Models
Hyper-Laplacian Regularized Concept Factorization in Low-Rank Tensor Space for Multi-View Clustering
Comparison of Use of a 2000 Qubit D-Wave Quantum Annealer and MCMC for Sampling, Image Reconstruction, and Classification
Time-Sensitive Federated Learning With Heterogeneous Training Intensity: A Deep Reinforcement Learning Approach
Bayesian Inference of Hidden Markov Models Through Probabilistic Boolean Operations in Spiking Neuronal Networks
Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey
STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search
Explainable Artificial Intelligence Approach for Demand-Side Management in a 1-Phase Multi-Type Consumer Base: Enhancing Efficiency and Transparency
A Robust Ranking Method for Intuitionistic Multiplicative Sets Under Crisp, Interval Environments and Its Applications
On Robust Grouping Active Learning
Context-Aware, Adaptive, and Scalable Android Malware Detection Through Online Learning
Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication
A Survey of Computational Intelligence Techniques for Air-Conditioners Energy Management
A Review on Computational Intelligence Techniques in Cloud and Edge Computing
Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease
Information Cartography in Association Rule Mining
Explainable AI for the Choquet Integral
Sparse Hyperspectral Unmixing With Preference-Based Evolutionary Multiobjective Multitasking Optimization
SiamDMU: Siamese Dual Mask Update Network for Visual Object Tracking
Android Malware Detection Methods Based on Convolutional Neural Network: A Survey
Towards Scalable Dynamic Traffic Assignment With Streaming Agents: A Decentralized Control Approach Using Genetic Programming
Integrating SIFT and CNN Feature Matching for Partial-Duplicate Image Detection
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
Motion Expressions Guided Video Segmentation via Effective Motion Information Mining
Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment
Nonconvex Low-Tubal-Rank Tensor Completion With Temporal Regularization for Spatiotemporal Traffic Data Recovery
Self-Consistent Learning of Neural Dynamical Systems From Noisy Time Series
Graph Learning With Riemannian Optimization for Multi-View Integrative Clustering
Switched Neural Networks for Simultaneous Learning of Multiple Functions
Guest Editorial Special Issue on Data-Driven Computational Intelligence for e-Governance, Socio-Political, and Economic Systems
TUCA-HER: An Improved HER for Robot Manipulation Skill Learning via Trajectory Utility and Conservative Advantage
Enhancing Federated Learning Through Differential Privacy: Introducing FedHybrid for Multicenter Diverse Heart Disease Datasets
IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection
Attention Based Cross-Domain Synthesis and Segmentation From Unpaired Medical Images
MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting
Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization
Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions
A New Design Method for Stable IIR Filters With Nearly Linear-Phase Response Based on Fractional Derivative and Swarm Intelligence
Automatic Counting of Planting Microsites via Local Visual Detection and Global Count Estimation
Fast Video-Based Point Cloud Compression Based on Early Termination and Transformer Model
Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization
Minable Data Publication Based on Sensitive Association Rule Hiding
Diversity-Induced Bipartite Graph Fusion for Multiview Graph Clustering
AdptGL-CA: Adaptive Global-Local Metric Fusion With Contrastive Attention for Few-Shot Learning
Energy-Efficient and Interpretable Multisensor Human Activity Recognition via Deep Fused Lasso Net
Frequent Pattern Mining in Big Social Graphs
A Novel Deep Reinforcement Learning Controller Based Type-II Fuzzy System: Frequency Regulation in Microgrids
RFNet: Reverse Fusion Network With Attention Mechanism for RGB-D Indoor Scene Understanding
A Generalized Nesterov's Accelerated Gradient-Incorporated Non-Negative Latent-Factorization-of-Tensors Model for Efficient Representation to Dynamic QoS Data
Self-Supervised Multi-Granularity Graph Attention Network for Vision-Based Driver Fatigue Detection
Neuromorphic Auditory Perception by Neural Spiketrum
The Impact of Perceived Autonomous Agents on Dynamic Team Behaviors
Low-Light Salient Object Detection Meets the Small Size
Detecting Disorders of Consciousness in Brain Injuries From EEG Connectivity Through Machine Learning
Utilizing a DenseSwin Transformer Model for the Classification of Maize Plant Pathology in Early and Late Growth Stages: A Case Study of Its Utilization Among Zambian Farmers
A Quaternion-Valued Neural Network Approach to Nonsmooth Nonconvex Constrained Optimization in Quaternion Domain
Privacy Protection Decentralized Economic Dispatch Over Directed Networks With Accurate Convergence
Distillation-Based Domain Generalization for Cross-Dataset EEG-Based Emotion Recognition
MuralDiff: Diffusion for Ancient Murals Restoration on Large-Scale Pre-Training
Transport Management for Evacuation of Victims
Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach
Reconstructing Heterogeneous Networks via Compressive Sensing and Clustering
E2G-Net: Enhancing Efficiency in Graph Neural Networks With Early-Exit Branches
Recent Advancements in Type-3 Fuzzy Logic Systems: A Comprehensive Review
Modeling of Spiking Neural Network With Optimal Hidden Layer via Spatiotemporal Orthogonal Encoding for Patterns Recognition
Search-Based Algorithm With Scatter Search Strategy for Automated Test Case Generation of NLP Toolkit
DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks
Differentiable Architecture Search With Attention Mechanisms for Generative Adversarial Networks
Handling Uncertainty in Financial Decision Making: A Clustering Estimation of Distribution Algorithm With Simplified Simulation
A Deep 1-D CNN and Bidirectional LSTM Ensemble Model With Arbitration Mechanism for LDDoS Attack Detection
Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations
Closing the Loop in Feedback Driven Learning Environments Using Trust Decision Making and Utility Theory
Guest Editorial Special Issue on Computational Intelligence to Edge AI for Ubiquitous IoT Systems
Swarm Imitation Learning From Observations
Epistasis Based ACO for Regression Test Case Prioritization
Multiagent Reinforcement Learning for Community Energy Management to Mitigate Peak Rebounds Under Renewable Energy Uncertainty
Unsupervised Logo Detection Using Adversarial Learning From Synthetic to Real Images
Robust Soft LVQ With LEML for SPD Matrices
Adaptive Neural Network Optimal Backstepping Control of Strict Feedback Nonlinear Systems via Reinforcement Learning
Learning Uniform Latent Representation via Alternating Adversarial Network for Multi-View Clustering
FLAME: Federated Learning With Masked Autoencoders and Mean-Prototypes Embedding for Sparsely Labeled Medical Images
Event-Sampled Adaptive Fuzzy Control of MASS via Intermittent Position Data
Matrix-Based Evolutionary Computation
3D-IMMC: Incomplete Multi-Modal 3D Shape Clustering via Cross Mapping and Dual Adaptive Fusion
Intensive Class Imbalance Learning in Drifting Data Streams
Leveraging Synergy to Design Neural Differential Distinguishers for Lightweight Block Ciphers
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
BAUODNET for Class Imbalance Learning in Underwater Object Detection
Tensor Deep Learning Model for Heterogeneous Data Fusion in Internet of Things
PFPS: Polymerized Feature Panoptic Segmentation Based on Fully Convolutional Networks
WFormer: A Transformer-Based Soft Fusion Model for Robust Image Watermarking
From Concept to Instance: Hierarchical Reinforced Knowledge Graph Reasoning
A Co-Evolutionary Dual Niching Differential Evolution Algorithm for Nonlinear Equation Systems Optimization
A Survey on an Emerging Area: Deep Learning for Smart City Data
Global Bipartite Exact Consensus of Unknown Nonlinear Multi-Agent Systems With Switching Topologies: Iterative Learning Approach
Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems
Enhancing Low-Density EEG-Based Brain-Computer Interfacing With Similarity-Keeping Knowledge Distillation
Fuzzy Composite Learning Control of Uncertain Fractional-Order Nonlinear Systems Using Disturbance Observer
An End-to-End Network for Image De-Hazing and Beyond
An Energy-Efficient Partition-Based Framework With Continuous Ant Colony Optimization for Target Tracking in Mobile Sensor Networks
SynFlowFL: A Dynamic Synaptic Flow Framework for Efficient, Personalized Federated Learning
Analyzing the Expected Hitting Time of Evolutionary Computation-Based Neural Architecture Search Algorithms
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data
Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder
Behavior Recognition Using Multiple Depth Cameras Based on a Time-Variant Skeleton Vector Projection
Unsupervised Representation Disentanglement Using Cross Domain Features and Adversarial Learning in Variational Autoencoder Based Voice Conversion
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-Agnostic Explanations
Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm
A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions
Progressive Feature Enhancement Network for Surface Defect Segmentation
RSTNet: Recurrent Spatial-Temporal Networks for Estimating Depth and Ego-Motion
Data-Driven Type-2 Fuzzy Sets for Tasks Management at the Edge
A Sequential Three-Way Decision-Based Group Consensus Method With Regret Theory Under Interval Multi-Scale Decision Information Systems
Bidirectional Hetero-Associative Memory Network With Flexible Sensors and Cloud Computing for Blood Leakage Detection in Intravenous and Dialysis Therapy
A Distributed Iterative Learning Framework for DC Microgrids: Current Sharing and Voltage Regulation
News-MESI: A Dataset for Multimodal News Excerpt Segmentation and Identification
Self-Supervised Pretraining Based on Noise-Free Motion Reconstruction and Semantic-Aware Contrastive Learning for Human Motion Prediction
Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning
Editorial IEEE Transactions on Emerging Topics in Computational Intelligence
EarlyBirdFL: Leveraging Early Bird Ticket Networks for Enhanced Personalized Learning
minStab: Stable Network Evolution Rule Mining for System Changeability Analysis
An Evolutionary Multitasking Method for High-Dimensional Receiver Operating Characteristic Convex Hull Maximization
Joint Self-Supervised Enhancement and Denoising of Low-Light Images
Compensation Atmospheric Scattering Model and Two-Branch Network for Single Image Dehazing
Transformer and Graph Convolution-Based Unsupervised Detection of Machine Anomalous Sound Under Domain Shifts
Discriminative Learning in the Model Space for Symbolic Sequence Classification
Bi-Level Model Management Strategy for Solving Expensive Multi-Objective Optimization Problems
MASER: Multi-Order Attention and Semantic-Enhanced Representation Model for Complex Text Recommendation
Security and Privacy in Shared HitLCPS Using a GA-Based Multiple-Threshold Sanitization Model
Computationally Efficient Scaled Clustering for Perceptually Invisible Image Intensity Tuning
Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding
Partial Adversarial Training for Neural Network-Based Uncertainty Quantification
Multiobjective Demand Response for Internet Data Centers
Multi-Robot Learning Dynamic Obstacle Avoidance in Formation With Information-Directed Exploration
Visual IoT Sensing Based on Robust Multilabel Discrete Signatures With Self-Topological Regularized Half Quadratic Lifting Functions
Biogeography-Based Optimization: A 10-Year Review
NetPlacer+: Model Parallelism Based on Load Balance in Distributed Deep Learning
An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution
A Novel Portfolio Optimization Model Based on Trend Ratio and Evolutionary Computation
A New Perspective on Stabilizing GANs Training: Direct Adversarial Training
Super Neurons
On Location and Trace Privacy of the Moving Object Using the Negative Survey
Learning From Crowds by Class-Specific Instance Weighting
A Lightweight Self Attention Based Multi-Task Deep Learning Model for Industrial Solar Panel and Environmental Monitoring
Multilingual Program Code Classification Using $n$-Layered Bi-LSTM Model With Optimized Hyperparameters
Optimization of Infectious Disease Prevention and Control Policies Using Artificial Life
Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization
Guiding Solution Based Local Search for Obstacle-Avoiding Rectilinear Steiner Minimal Tree Problem
Matching Algorithms: Fundamentals, Applications and Challenges
Mutual Retinex: Combining Transformer and CNN for Image Enhancement
3D Object Detection and Tracking Based on Lidar-Camera Fusion and IMM-UKF Algorithm Towards Highway Driving
Outlier-Robust Moving Object and Background Decomposition via Structured ${\ell }_p$-Regularized Low-Rank Representation
Hierarchical Multivariate Representation Learning for Face Sketch Recognition
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization
Synchronized Video and EEG Based Childhood Epilepsy Seizure Detection
Research on Motion Capture and Phase Segmentation Based on Wireless Body Sensor Networks in Competitive Equestrian
Adaptive Context Exploration Network for Polyp Segmentation in Colonoscopy Images
EEG Sleep Stages Analysis and Classification Based on Weighed Complex Network Features
Coarse-to-Fine Low-Light Image Enhancement With Light Restoration and Color Refinement
Toward Autonomous Distributed Clustering
Efficient Low-Light Light Field Enhancement With Progressive Feature Interaction
Predicting Side Effect of Drug Molecules Using Recurrent Neural Networks
Multi-modal Authentication Model for Occluded Faces in a Challenging Environment
Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory
Efficient Multi-View Clustering via Essential Tensorized Bipartite Graph Learning
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems
Physical Fitness Assessment for Cancer Patients Using Multi-Model Decision Fusion Based on Multi-Source Data
Deep Learning Quantitative Susceptibility Mapping With Reduced Training Time Based on Local Field Transformation
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game
3D Skeleton-Based Non-Autoregressive Human Motion Prediction Using Encoder-Decoder Attention-Based Model
DeRL: Coupling Decomposition in Action Space for Reinforcement Learning Task
Adversarial Examples Detection With Bayesian Neural Network
TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation
Forecasting Fluctuations in the Financial Index Using a Recurrent Neural Network Based on Price Features
Improved Differentiable Architecture Search With Multi-Stage Progressive Partial Channel Connections
Fine-Tuning LLMs for Anesthesiology via Compositional Data Generation
Entropy4Cloud: Using Entropy-Based Complexity to Optimize Cloud Service Resource Management
Regime Change Detection Using Directional Change Indicators in the Foreign Exchange Market to Chart Brexit
An Enhanced Stacked LSTM Method With No Random Initialization for Malware Threat Hunting in Safety and Time-Critical Systems
A Many-Objective Diversity-Guided Differential Evolution Algorithm for Multi-Label Feature Selection in High-Dimensional Datasets
STMemAE: An Instance-Level Based Spatio-Temporal Memory Autoencoder for Unsupervised Vision-Based Seizure Detection
Two ZNN-Based Unified SMC Schemes for Finite/Fixed/Preassigned-Time Synchronization of Chaotic Systems
Domain Adaptation for In-Air to Underwater Image Enhancement via Deep Learning
Generalization-Enhanced Feature-Wise and Correlation Attentions for Cross-Database Facial Expression Recognition
Generative Adversarial Neural Machine Translation for Phonetic Languages via Reinforcement Learning
Learning EEG Motor Characteristics via Temporal-Spatial Representations
Privacy-Preserving Learning Model Using Lightweight Encryption for Visual Sensing Industrial IoT Devices
Parameter-Free Similarity-Aware Attention Module for Medical Image Classification and Segmentation
Optimal Cooperative Control of Multi-Agent Systems Through Event-Triggered Model-Free Reinforcement Learning
Unified and Tensorized Incomplete Multi-View Kernel Subspace Clustering
Learning Inter and Intra Class Variation With Deep Frequency Factorization Network for Face Anti-Spoofing
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation
Intelligent Cache Pollution Attacks Detection for Edge Computing Enabled Mobile Social Networks
Unlocking the Potential of Two-Point Cells for Energy-Efficient and Resilient Training of Deep Nets
Multi-Objective Hole-Making Sequence Optimization by Genetic Algorithm Based on Q-Learning
Prototype Combination for Multi-Source Unsupervised Domain Adaptation
An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization
Adaptive Error-Related Zeroing Neurodynamics Models for Handling Temporally-Varying System of Linear Equation and Inequation With Applications
YOLO-SM: A Lightweight Single-Class Multi-Deformation Object Detection Network
Construction of Polar Codes Based on Memetic Algorithm
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification
Joint Spectrum and Power Allocation in Wireless Network: A Two-Stage Multi-Agent Reinforcement Learning Method
Random Walks: A Review of Algorithms and Applications
Multipath Ensemble Convolutional Neural Network
Efficient Online Planning and Robust Optimal Control for Nonholonomic Mobile Robot in Unstructured Environments
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection
Dynamic Node Embeddings From Edge Streams
A Diversified Population Migration-Based Multiobjective Evolutionary Algorithm for Dynamic Community Detection
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-Supervised Medical Image Classification
Guest Editorial Special Issue on Adversarial Learning in Computational Intelligence
EMODMI: A Multi-Objective Optimization Based Method to Identify Disease Modules
Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach
Observer-Based Event-Triggered Optimal Control for Nonlinear Multiagent Systems With Input Delay via Reinforcement Learning Strategy
Exploiting High Performance Spiking Neural Networks With Efficient Spiking Patterns
BFTNet: Boundary-Induced Four-Phase Transformer Network for RGB-Thermal Urban Road Scene Parsing
Multi-Directional Pixel Array Computation for Efficient Pupil Localization in Gaze Estimation
Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning
Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning
Ant Colony Technique for Optimizing the Order of Cascaded SVM Classifier for Sunflower Seed Classification
An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification
Deep Contrastive Representation Learning With Self-Distillation
Multi-Level Medical Image Segmentation Network Based on Multi-Scale and Context Information Fusion Strategy
Topic Integrated Opinion-Based Drug Recommendation With Transformers
A Small Object Real-Time Detection Method for Power Line Inspection in Low-Illuminance Environments
Robust Learning-Based Gain-Scheduled Path Following Controller Design for Autonomous Ground Vehicles
Dynamic Network Structure: Doubly Stacking Broad Learning Systems With Residuals and Simpler Linear Model Transmission
AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems
Dense Vector Embedding Based Approach to Identify Prominent Disseminators From Twitter Data Amid COVID-19 Outbreak
Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints
Evolutionary Multitasking With Solution Space Cutting for Point Cloud Registration
Accurate Content Push for Content-Centric Social Networks: A Big Data Support Online Learning Approach
Human-Machine Synergism in High-Level Cognitive Functioning: The Human Component
Evolutionary Multitasking Optimization Enhanced by Geodesic Flow Kernel
PSNet: Parallel Symmetric Network for Video Salient Object Detection
Finger Vein Image Deblurring Using Neighbors-Based Binary-GAN (NB-GAN)
Chance-Constrained Abnormal Data Cleaning for Robust Classification With Noisy Labels
Hybrid Memetic Search for Electric Vehicle Routing With Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges
Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach
Local Dimming for Video Based on an Improved Surrogate Model Assisted Evolutionary Algorithm
Dual-Population Evolution Based Dynamic Constrained Multiobjective Optimization With Discontinuous and Irregular Feasible Regions
A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization
Semi-CLMT: A Semi-Supervised Framework for Medical Image Segmentation