yusuke1997/dblp-id-title huggingface dataset:
Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning
Privacy-Enhanced Federated GNN Inference Against Adversarial Example Attack
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images
Multi-View Projection Based Joint Geometry and Color Hole Repairing Method for G-PCC Trisoup Encoded Color Point Cloud
Decentralized Opportunistic Channel Access in CRNs Using Big-Data Driven Learning Algorithm
Deep Reinforcement Learning-Based Feature Extraction and Encoding for Finger-Vein Verification
Design and Analysis of Reciprocal Zhang Neuronet Handling Temporally-Variant Linear Matrix-Vector Equations Applied to Mobile Localization
Dendritic Cell Algorithm Applied to Ping Scan Investigation Revisited: Detection Quality and Performance Analysis
A Complex-Valued Variant-Parameter Robust Zeroing Neural Network Model and its Applications
Transfer Optimization for Heterogeneous Drone Delivery and Pickup Problem
WITM: Intelligent Traffic Monitoring Using Fine-Grained Wireless Signal
Path Planning for Unmanned Aerial Vehicle via Off-Policy Reinforcement Learning With Enhanced Exploration
Binary Tree Population Structure-Based Differential Evolution
Reinforcement Learning and Transformer for Fast Magnetic Resonance Imaging Scan
Identity-Preserved Complete Face Recovering Network for Partial Face Image
Adaptive Feature Transfer for Light Field Super-Resolution With Hybrid Lenses
Transfer Learning-Based Region Statistical Data Completion via Double Graphs
Double Fourier Integral Analysis Based Convolutional Neural Network Regression for High-Frequency Energy Disaggregation
Self-Supervised Adaptive Illumination Estimation for Low-Light Image Enhancement
No-Reference Stereoscopic Image Quality Assessment Based on Image Distortion and Stereo Perceptual Information
Indoor WLAN Intelligent Target Intrusion Sensing Using Ray-Aided Generative Adversarial Network
End-to-End Learning for Physics-Based Acoustic Modeling
Angle-Based Multi-Objective Evolutionary Algorithm Based On Pruning-Power Indicator for Game Map Generation
Uncertainty Driven Adaptive Self-Knowledge Distillation for Medical Image Segmentation
Unsupervised Low-Light Image Enhancement via Luminance Mask and Luminance-Independent Representation Decoupling
Recent Advances of Computational Intelligence Techniques for Composing Music
STFNet: Self-Supervised Transformer for Infrared and Visible Image Fusion
Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion
Utility- and Fairness-Based Spectrum Allocation of Cellular Networks by an Adaptive Particle Swarm Optimization Algorithm
Smart Energy Hub Frequency Control-Based Machine Learning
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning
Resource Sharing and Task Offloading in IoT Fog Computing: A Contract-Learning Approach
Multi-Ship Dynamic Weapon-Target Assignment via Cooperative Distributional Reinforcement Learning With Dynamic Reward
Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems
A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective
Half Quadratic Dual Learning for Fuzzy Multiconcepts of Partially-Observed Images
Machine Learning-Backed Planning of Rapid COVID-19 Tests With Autonomous Vehicles With Zero-Day Considerations
A Novel Multi-Source Information Fusion Method Based on Dependency Interval
Evaluating Evolving Structure in Streaming Data With Modified Dunn's Indices
Adaptive Indoor People-Counting System Based on Edge AI Computing
3D-CNN-SPP: A Patient Risk Prediction System From Electronic Health Records via 3D CNN and Spatial Pyramid Pooling
Streamlined and Resource-Efficient Estimation of Epistemic Uncertainty in Deep Ensemble Classification Decision via Regression
Spatio-Temporal Enhancement-Based Spiking Neural Network for Morphological Neuron Classification
Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study
PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer
Non-Negative Sparse PCA: An Intelligible Exact Approach
Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives
FedCGP: Cluster-Based Gradual Personalization for Federated Medical Image Segmentation
CSP-Lite: Real-Time and Efficient Keypoint-Based Pedestrian Detection
Representation-Based Decision-Theoretic Rough Sets for Three-Way Classification
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector
Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and Application
Dynamic Population Structures-Based Differential Evolution Algorithm
Breaking Through the Speed-Power-Accuracy Tradeoff in ADCs Using a Memristive Neuromorphic Architecture
A Survey of Embodied AI: From Simulators to Research Tasks
MENTOR: Guiding Hierarchical Reinforcement Learning With Human Feedback and Dynamic Distance Constraint
Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition
Rating Credits of Online Merchants Using Negative Ranks
Human-in-the-Loop-Aided Privacy-Preserving Scheme for Smart Healthcare
On Privacy Aware Carriers for Value-Possessed e-Invoices Considering Intelligence Mining
Sparse Learning of Higher-Order Statistics for Communications and Sensing
PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time Series
Spatial Temporal Aggregation for Efficient Continuous Sign Language Recognition
Deep Variational Inference Network for Single Image Reflection Removal
Heterogeneity-Aware Clustering and Intra-Cluster Uniform Data Sampling for Federated Learning
Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation
MG-GCN: Multi-Granularity Graph Convolutional Neural Network for Multi-Label Classification in Multi-Label Information System
Evolutionary Large-Scale Multiobjective Optimization via Autoencoder-Based Problem Transformation
Subdomain Adversarial Network for Motor Imagery EEG Classification Using Graph Data
How to Characterize Imprecision in Multi-View Clustering?
Generative Probabilistic Meta-Learning for Few-Shot Image Classification
Multi-Crop Convolutional Neural Networks for Fast Lung Nodule Segmentation
Unbalanced Incomplete Multi-View Clustering Via the Scheme of View Evolution: Weak Views are Meat; Strong Views Do Eat
Inter-Class and Intra-Class Re-Weighting for Topological-Imbalance Graph Neural Networks
Joint Multi-View Unsupervised Feature Selection and Graph Learning
AdaD-FNN for Chest CT-Based COVID-19 Diagnosis
Optimal Searching Time Allocation for Information Collection Under Cooperative Path Planning of Multiple UAVs
Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction Sites
A Novel Fuzzy Feature Generation Approach for Happiness Prediction
Adaptive Evolution Strategies for Stochastic Zeroth-Order Optimization
Cross-Device OCTA Generation by Patch-Based 3D Multi-Scale Feature Adaption
RACFIS: A New Rapid Adaptive Complex Fuzzy Inference System for Regression Modelling
Consistency and Diversity Induced Tensorized Multi-View Subspace Clustering
Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability
Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data
Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints
Resilient Learning of Computational Models With Noisy Labels
HGRL-S: Towards Heterogeneous Graph Representation Learning With Optimized Structures
Efficient Direct Aperture Optimization via Evolutionary Computation With Customized Variation Operators
DeepPCC: Learned Lossy Point Cloud Compression
Passivity-Based Formation Control for Fractional-Order Multiagent Systems With and Without Communication Delay
Optimal Navigation of an Automatic Guided Vehicle With Obstacle Constraints: A Broad Learning-Based Approach
Modulating STDP With Back-Propagated Error Signals to Train SNNs for Audio Classification
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data
A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction
Hierarchical Multimodal Graph Learning for Outfit Compatibility Modelling
Feature Autonomous Screening and Sequence Integration Network for Medical Image Classification
Time-Varying Weights in Multi-Reward Architecture for Deep Reinforcement Learning
Multi-Label Classification Using Binary Tree of Classifiers
Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem
Memristive Fully Convolutional Network: An Accurate Hardware Image-Segmentor in Deep Learning
CC-GBLS: Collaborative-Competitive Representation-Based Graph Regularized Broad Learning System for Osteoporosis Diagnosis
End-to-End Clustering Enhanced Contrastive Learning for Radiology Reports Generation
LGABL: UHD Multi-Exposure Image Fusion via Local and Global Aware Bilateral Learning
On the Reconstruction Method For Negative Surveys with Application to Education Surveys
Obtaining Fuzzy Membership Function of Clusters With the Memristor Hardware Implementation and On-Chip Learning
A Robust Multilabel Method Integrating Rule-Based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance
A Swarm Intelligence Assisted IoT-Based Activity Recognition System for Basketball Rookies
Granular Symmetric Implicational Method
Computational Intelligence for Information Security: A Survey
Event-Based Deep Reinforcement Learning for Quantum Control
A Multi-Task Deep Learning Framework Integrating Segmentation and Reconstruction for Lensless Imaging
PointNu-Net: Keypoint-Assisted Convolutional Neural Network for Simultaneous Multi-Tissue Histology Nuclei Segmentation and Classification
GLR-SEI: Green and Low Resource Specific Emitter Identification Based on Complex Networks and Fisher Pruning
An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots
A Bi-Search Evolutionary Algorithm for High-Dimensional Bi-Objective Feature Selection
Learning the Color Space for Effective Fabric Defect Detection
Machine Unlearning: Solutions and Challenges
A Click Conversion Rate Model of E-Commerce Platforms Aiming at Effective Data Sparse
Causal Feature Selection With Imbalanced Data
Adaptive Q-Learning Based Model-Free $H_{\infty }$ Control of Continuous-Time Nonlinear Systems: Theory and Application
Spatio-Temporal Fusion Spiking Neural Network for Frame-Based and Event-Based Camera Sensor Fusion
CMOA-Net: Competent Multi-Observant Attention Network for Single-Image Super-Resolution
Electroencephalogram Based Reaction Time Prediction With Differential Phase Synchrony Representations Using Co-Operative Multi-Task Deep Neural Networks
Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning
Electrode Domain Adaptation Network: Minimizing the Difference Across Electrodes in Single-Source to Single-Target Motor Imagery Classification
COT: A Generative Approach for Hate Speech Counter-Narratives via Contrastive Optimal Transport
Exploiting CNNs for Improving Acoustic Source Localization in Noisy and Reverberant Conditions
SODSR: A Three-Stage Small Object Detection via Super-Resolution Using Optimizing Combination
Circuit Implementation of Memristive Fuzzy Logic for Blood Pressure Grading Quantification
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming
DPPNet: An Efficient and Robust Deep Learning Network for Land Cover Segmentation From High-Resolution Satellite Images
A New-Type Zeroing Neural Network Model and Its Application in Dynamic Cryptography
MSE-GCN: A Multiscale Spatiotemporal Feature Aggregation Enhanced Efficient Graph Convolutional Network for Dynamic Sign Language Recognition
A Mechanics-Based Similarity Measure for Text Classification in Machine Learning Paradigm
Deep Gaussian Mixture-Hidden Markov Model for Classification of EEG Signals
Cooperative Coevolution Design of Multilevel Fuzzy Logic Controllers for Media Access Control in Wireless Body Area Networks
Accelerating Evolutionary Multitasking Optimization With a Generalized GPU-Based Framework
Workload-Balanced Pruning for Sparse Spiking Neural Networks
Viewpoint-Based Kernel Fuzzy Clustering With Weight Information Granules
Deep Reinforcement Learning Based Pricing Strategy of Aggregators Considering Renewable Energy
A Lightweight Multimode Medical Image Fusion Method Using Similarity Measure Between Intuitionistic Fuzzy Sets Joint Laplacian Pyramid
A Hypersphere Information Granule-Based Fuzzy Classifier Embedded With Fuzzy Cognitive Maps for Classification of Imbalanced Data
Training a Quantum Annealing Based Restricted Boltzmann Machine on Cybersecurity Data
Emerging Scientific Topic Discovery by Analyzing Reliable Patterns of Infrequent Synonymous Biterms
Technology Aware Training in Memristive Neuromorphic Systems for Nonideal Synaptic Crossbars
Toward Efficient Self-Motion-Based Memory Representation for Visuomotor Navigation of Embodied Robot
From Bag-of-Words to Transformers: A Comparative Study for Text Classification in Healthcare Discussions in Social Media
On the Computational Power of Asynchronous Axon Membrane Systems
Local Visual and Global Deep Features Based Blind Stitched Panoramic Image Quality Evaluation Using Ensemble Learning
Supervised Reconstruction for High-Dimensional Expensive Multiobjective Optimization
Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges
Scheduling for Time-Constrained Big-File Transfer Over Multiple Paths in Cloud Computing
Growing Neural Gas Network for Offspring Generation in Evolutionary Constrained Multi-Objective Optimization
Convert Cross-Domain Classification Into Few-Shot Learning: A Unified Prompt-Tuning Framework for Unsupervised Domain Adaptation
Attention-Based Methods for Emotion Categorization From Partially Covered Faces
Leveraging Neural Networks and Calibration Measures for Confident Feature Selection
Attend to Where and When: Cascaded Attention Network for Facial Expression Recognition
Second-Order Structure Optimization of Fully Complex-Valued Neural Networks
Computational Intelligence Enabled Cybersecurity for the Internet of Things
IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning
VTFR-AT: Adversarial Training With Visual Transformation and Feature Robustness
Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks
Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot
Deep Learning in Physics: A Study of Dielectric Quasi-Cubic Particles in a Uniform Electric Field
Aspect-Aware Graph Interaction Attention Network for Aspect Category Sentiment Analysis
A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm
Latent Object Embedding for Self-Supervised Monocular Depth Estimation
A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting
A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis
Quaternion Dendritic Neuron Model for Multivariate Financial Time Series Prediction
Multi-Graph Contrastive Learning for Community Detection in Multi-Layer Networks
Self-Attention Over Tree for Relation Extraction With Data-Efficiency and Computational Efficiency
Efficient Message Passing Algorithm and Architecture Co-Design for Graph Neural Networks
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data
A Collaborative Neurodynamic Algorithm for Quadratic Unconstrained Binary Optimization
Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients
Data-Driven Fault-Tolerant Reinforcement Learning Containment Control for Nonlinear Multiagent Systems
A Surrogate-Assisted Multiobjective Evolutionary Algorithm for Large-Scale Task-Oriented Pattern Mining
Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration
A Computationally Fast Convergence Measure and Implementation for Single-, Multiple-, and Many-Objective Optimization
HJB-Equation-Based Optimal Learning Scheme for Neural Networks With Applications in Brain-Computer Interface
Optimization for Deep Convolutional Neural Networks: How Slim Can It Go?
Low-Bit Mixed-Precision Quantization and Acceleration of CNN for FPGA Deployment
Multi-Objective Data Placement for Workflow Management in Cloud Infrastructure Using NSGA-II
Guest Editorial Special Issue on Computational Intelligence for Perception and Decision-Making of Autonomous Systems
GAMR: Revolutionizing Multi-Objective Routing in SDN Networks With Dynamic Genetic Algorithms
Open-Space Emergency Guiding With Individual Density Prediction Based on Internet of Things Localization
MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer's Disease
FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks
Attention Deep Model With Multi-Scale Deep Supervision for Person Re-Identification
Alternating-Direction-Method of Multipliers-Based Adaptive Nonnegative Latent Factor Analysis
Generating Style-Specific Chinese Tang Poetry With a Simple Actor-Critic Model
A Generalized Deep Neural Network Approach for Digital Watermarking Analysis
Adaptive Weight-Based Self Reconfiguration of Smart Distribution Network With Intelligent Agents
Event-Based ADP Tracking Control of Complex-Valued Nonlinear Systems
A Buffer-Based Ant Colony System Approach for Dynamic Cold Chain Logistics Scheduling
Isolating Features of Object and Its State for Compositional Zero-Shot Learning
A Primal-Dual Forward-Backward Splitting Algorithm for Distributed Convex Optimization
Data-Driven Container Marking Detection and Recognition System With an Open Large-Scale Scene Text Dataset
Evolutionary Neural Architecture Search for Facial Expression Recognition
Density Peaks Clustering Based on Label Propagation and K-Mutual-Nearest Neighbors
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging
Decoding Neural Correlates of Cognitive States to Enhance Driving Experience
On Complex Fuzzy S-Implications
Leaders and Collaborators: Addressing Sparse Reward Challenges in Multi-Agent Reinforcement Learning
Sparse Learning-Based Feature Selection in Classification: A Multi-Objective Perspective
Incentivized Federated Learning: A Survey
TDM: Trustworthy Decision-Making Via Interpretability Enhancement
Swarm Optimization With Intra- and Inter-Hierarchical Competition for Large-Scale Berth Allocation and Crane Assignment
Hierarchical Semantic Knowledge-Based Object Search Method for Household Robots
A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours Using Different Modalities
Mutual Information Guided Financial Report Generation With Domain Adaption
MSDT: Multiscale Diffusion Transformer for Multimodality Image Fusion
WLR-Net: An Improved YOLO-V7 With Edge Constraints and Attention Mechanism for Water Leakage Recognition in the Tunnel
Complex-Order Quantum-Behaved Particle Swarm Optimization With Double Jump-Out Strategy
Binary Classification From $M$-Tuple Similarity-Confidence Data
FSNet: A Hybrid Model for Seasonal Forecasting
Parameter-Efficient Transfer Learning for Medical Visual Question Answering
An Evolutionary Framework for Modelling Unknown Behaviours of Other Agents
Discovering Interpretable Latent Space Directions for 3D-Aware Image Generation
Understand Me, if You Refer to Aspect Knowledge: Knowledge-Aware Gated Recurrent Memory Network
Multiparty Multiobjective Optimization for Dynamic Multimodal Optimization Problems
Clustering-Based Short-Term Wind Speed Interval Prediction With Multi-Objective Ensemble Learning
Clickbait Detection via Prompt-Tuning With Titles Only
Intuitionistic Fuzzy Logit Model of Discrete Choice
Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means
Constrained Multi-Objective Optimization With Constraint Priority
Image Manipulation Localization Using Dual-Shallow Feature Pyramid Fusion and Boundary Contextual Incoherence Enhancement
Memristive Neural Networks: A Neuromorphic Paradigm for Extreme Learning Machine
Global Convolutional Self-Action Module for Fast Brain Tumor Image Segmentation
LoCATe-GAT: Modeling Multi-Scale Local Context and Action Relationships for Zero-Shot Action Recognition
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking
Game of Drones: Intelligent Online Decision Making of Multi-UAV Confrontation
Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks
WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking
A Novel Doubly Reweighting Multisource Transfer Learning Framework
FLARE: Fuzzy Local Agnostic Rule-Based Explanations for Closed Box Classifiers
Class Discriminative Knowledge Distillation
An All-Memristor Deep Spiking Neural Computing System: A Step Toward Realizing the Low-Power Stochastic Brain
K-Core Structure Feature Encoding-Based Enhanced Federated Graph Learning Framework
Interval-Valued Intuitionistic Fuzzy Decision With Graph Pattern in Big Graph
From Discrete Representation to Continuous Modeling: A Novel Audio-Visual Saliency Prediction Model With Implicit Neural Representations
Symbolic Sequence Classification in the Fractal Space
Hardening Random Forest Cyber Detectors Against Adversarial Attacks
Guest Editorial: Special Issue on Human-Machine Symbiosis
Benchmarking Medical LLMs on Anesthesiology: A Comprehensive Dataset in Chinese
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning
Effective Quality-Aware Sensor Data Management
Object-Aware Image Augmentation for Audio-Visual Zero-Shot Learning
Collaborative Energy Management for a Residential Community: A Non-Cooperative and Evolutionary Approach
Broad Graph Convolutional Neural Network and Its Application in Hyperspectral Image Classification
Targeted Mining Precise-Positioning Episode Rules
Evolutionary Multitasking via Reinforcement Learning
Denial of Service Attack on Tie-Line Bias Control in a Power System With PV Plant
Task Intelligence of Robots: Neural Model-Based Mechanism of Thought and Online Motion Planning
FCPFS: Fuzzy Granular Ball Clustering-Based Partial Multilabel Feature Selection With Fuzzy Mutual Information
FedLaw: Value-Aware Federated Learning With Individual Fairness and Coalition Stability
A Hub-Based Self-Organizing Algorithm for Feedforward Small-World Neural Network
An Efficient Federated Genetic Programming Framework for Symbolic Regression
Differential Privacy-Preserving of Multi-Party Collaboration Under Federated Learning in Data Center Networks
SMOD: An Accurate and Efficient Segmentation-Based Medical Object Detector
Privacy-Preserving Context-Based Electric Vehicle Dispatching for Energy Scheduling in Microgrids: An Online Learning Approach
Effective Single-Step Adversarial Training With Energy-Based Models
Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer
A Cross-Domain Recommendation Model Based on Asymmetric Vertical Federated Learning and Heterogeneous Representation
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network
Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems
The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging
Balancing Security and Correctness in Code Generation: An Empirical Study on Commercial Large Language Models
Optimal Actor-Critic Policy With Optimized Training Datasets
Reducing Parameter Value Uncertainty in Discrete Bayesian Network Learning: A Semantic Fuzzy Bayesian Approach
Explicit and Implicit Box Equivariance Learning for Weakly-Supervised Rotated Object Detection
Partitioning of Intelligent Buildings for Distributed Contaminant Detection and Isolation