yusuke1997/dblp-id-title huggingface dataset:
Addressing Unwanted Traffic on the Internet: A Community Response
PaaS Characteristics for Productive Software Development: An Evaluation Framework
TCP and MP-TCP in 5G mmWave Networks
XML and Data Integration
E-Business: Electronic Marketplaces
The Spectrum Auction: Big Money and Lots of Unanswered Questions
Reliable Multicast: When Many Must Absolutely Positively Receive It
Autonomous Decentralized Community Communication for Information Dissemination
A Portable CPU-Management Framework for Java
MMM: A Web-Based System for Sharing Statistical Computing Modules
Software Engineering in the Internet Age - Guest Editors' Introduction
Priming for Better Performance in Microtask Crowdsourcing Environments
The Raincore API for Clusters of Networking Elements
Transf-ID: Automatic ID and Data Capture for Rail Freight Asset Management
Voice-Quality Monitoring and Control for VoIP
Scalable Multimedia Communication Using IP Multicast and Lightweight Sessions
Adapting Content for Wireless Web Services
Ranking Complex Relationships on the Semantic Web
2005 Annual Index
Digital Toolbox: Shelves from Bits
Digital Toolbox: Controlling Interests
Having One's Head in the Cloud
Adapting Web Content to Mobile User Agents
Infrastructure for E-Government Web Services
Web Metadata: A Matter of Semantics
Cloud Computing: The Limits of Public Clouds for Business Applications
On the Wire: Powerline Communications: Finally Ready for Prime Time?
Perturbed Composite Attention Model for Macular Optical Coherence Tomography Image Classification
An Accurate and Interpretable Framework for Trustworthy Process Monitoring
Maximum Margin-Based Activation Clipping for Posttraining Overfitting Mitigation in DNN Classifiers
Strategic Gradient Transmission With Targeted Privacy-Awareness in Model Training: A Stackelberg Game Analysis
Learning-Observer-Based Adaptive Tracking Control of Multiagent Systems Using Compensation Mechanism
NICASU: Neurotransmitter Inspired Cognitive AI Architecture for Surveillance Underwater
Preference Prediction-Based Evolutionary Multiobjective Optimization for Gasoline Blending Scheduling
Improving 3-D Medical Image Segmentation at Boundary Regions Using Local Self-Attention and Global Volume Mixing
System Neural Network: Evolution and Change Based Structure Learning
Attacking-Distance-Aware Attack: Semi-targeted Model Poisoning on Federated Learning
Seeking Secure Synchronous Tracking of Networked Agent Systems Subject to Antagonistic Interactions and Denial-of-Service Attacks
Multivariate Time-Series Modeling and Forecasting With Parallelized Convolution and Decomposed Sparse-Transformer
Enclose and Track a Target of Mobile Robot With Motion and Field of View Constraints Based on Relative Position Measurement
Auto-Differentiable Transfer Mapping Architecture for Physics-Infused Learning of Acoustic Field
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior
Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network
A Very-Short-Term Online PV Power Prediction Model Based on RAN With Secondary Dynamic Adjustment
Pseudo-shot Learning for Soil Classification With Laser-Induced Breakdown Spectroscopy
No-Reference Image Quality Assessment via Multibranch Convolutional Neural Networks
LSTM-Based Model Compression for CAN Security in Intelligent Vehicles
Inferring Electrocardiography From Optical Sensing Using Lightweight Neural Network
Artificial Intelligence Across Europe: A Study on Awareness, Attitude and Trust
Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation
A Reliable Clinical Decision Support System for Posttraumatic Stress Disorder Using Functional Magnetic Resonance Imaging Data
Accelerating Point-Voxel Representation of 3-D Object Detection for Automatic Driving
Toward Handling Uncertainty-At-Source in AI - A Review and Next Steps for Interval Regression
Procedural Memory Augmented Deep Reinforcement Learning
CH-Net: A Cross Hybrid Network for Medical Image Segmentation
Spherical Linguistic Petri Nets for Knowledge Representation and Reasoning Under Large Group Environment
FairCompass: Operationalizing Fairness in Machine Learning
SleepPrintNet: A Multivariate Multimodal Neural Network Based on Physiological Time-Series for Automatic Sleep Staging
Redefining Real-Time Road Quality Analysis With Vision Transformers on Edge Devices
Advancements in Image Interpretation: Self-Supervised Learning of Object Structures for Enhanced Classification and Segmentation
Edge Intelligence: A Deep Distilled Model for Wearables to Enable Proactive Eldercare
Text-Image Scene Graph Fusion for Multimodal Named Entity Recognition
NL-CoWNet: A Deep Convolutional Encoder-Decoder Architecture for OCT Speckle Elimination Using Nonlocal and Subband Modulated DT-CWT Blocks
Exemplar-Based Continual Learning via Contrastive Learning
Dynamic Broad Metric Learning
Optimal Trajectory-Based Control of 3-D Dual Rotary Cranes for Payload Dynamic Regulation in Complex Environments
Enhance Adversarial Robustness via Geodesic Distance
Complexity-Driven Model Compression for Resource-Constrained Deep Learning on Edge
Model-Free Quantum Gate Design and Calibration Using Deep Reinforcement Learning
Exploring the Predictive Capabilities of AlphaFold Using Adversarial Protein Sequences
Distilled Gradual Pruning With Pruned Fine-Tuning
Context-Aware Self-Supervised Learning of Whole Slide Images
Adaptive Perception for Unified Visual Multimodal Object Tracking
Learning Multitask Commonness and Uniqueness for Multimodal Sarcasm Detection and Sentiment Analysis in Conversation
Model-Heterogeneous Federated Graph Learning With Prototype Propagation
On a Sparse Shortcut Topology of Artificial Neural Networks
A Cervical Cell Classification Framework Based on Multiview Supervised Contrastive Learning
A Semisupervised Aircraft Fuselage Defect Detection Network With Dynamic Attention and Class-Aware Adaptive Pseudolabel Assignment
The Different Faces of AI Ethics Across the World: A Principle-to-Practice Gap Analysis
Bagging and Boosting Fine-Tuning for Ensemble Learning
Evolutionary Multilabel Adversarial Examples: An Effective Black-Box Attack
Constrained Multiobjective Optimization via Relaxations on Both Constraints and Objectives
Performance Assessment of Fuzzy Logic Control Approach for MR-Damper Based-Transfemoral Prosthetic Leg
Tensorial Evolutionary Computation for Spatial Optimization Problems
Multiparticipant Federated Feature Selection Algorithm With Particle Swarm Optimization for Imbalanced Data Under Privacy Protection
Recording Behaviors of Artificial Intelligence in Blockchains
Continual Unsupervised Domain Adaptation in Data-Constrained Environments
A Temporal Type-2 Fuzzy System for Time-Dependent Explainable Artificial Intelligence
Dual-Enhanced High-Order Self-Learning Tensor Singular Value Decomposition for Robust Principal Component Analysis
Toward Deep Generation of Guided Wave Representations for Composite Materials
Safe Multiagent Reinforcement Learning With Bilevel Optimization in Autonomous Driving
Random Sharing Parameters in the Global Region of Convolutional Neural Network
Unsupervised Domain Adaptation on Point Clouds via High-Order Geometric Structure Modeling
Reinforcement Learning for Efficient Multiagent Task Allocation in Potential Game Model
Federated Multitask Learning for Complaint Identification Using Graph Attention Network
Contrastive-Enhanced Domain Generalization With Federated Learning
Deep Transfer Learning for Detecting Electric Vehicles Highly Correlated Energy Consumption Parameters
FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models
Understanding Connection Between PMP and HJB Equations from the Perspective of Hamilton Dynamics
A Review of Text Style Transfer Using Deep Learning
Emergency Scheduling of Aerial Vehicles via Graph Neural Neighborhood Search
Graph-Based Knowledge Acquisition With Convolutional Networks for Distribution Network Patrol Robots
Cross-Modal and Cross-Level Attention Interaction Network for Salient Object Detection
Delve Into Neural Activations: Toward Understanding Dying Neurons
Feature-Guided Perturbation for Facial Attribute Classification
Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection
GOAL: Generalized Jointly Sparse Linear Discriminant Regression for Feature Extraction
Structure-Sensitive Graph Dictionary Embedding for Graph Classification
HWEFIS: A Hybrid Weighted Evolving Fuzzy Inference System for Nonstationary Data Streams
MLRP-KG: Mine Landslide Risk Prediction Based on Knowledge Graph
SpinalNet: Deep Neural Network With Gradual Input
Neuro-Symbolic AI for Military Applications
Continual Learning: A Review of Techniques, Challenges, and Future Directions
A Multimodal Multiobjective Evolutionary Algorithm for Filter Feature Selection in Multilabel Classification
Robotic Control in Adversarial and Sparse Reward Environments: A Robust Goal-Conditioned Reinforcement Learning Approach
CS-Mixer: A Cross-Scale Vision Multilayer Perceptron With Spatial-Channel Mixing
Variable Curvature Gabor Convolution and Multibranch Structures for Finger Vein Recognition
Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey
Prototype Enhancement-Based Incremental Evolution Learning for Urban Garbage Classification
Automated Surface Classification System Using Vibration Patterns - A Case Study With Wheelchairs
A Unified Conditional Diffusion Framework for Dual Protein Targets-Based Bioactive Molecule Generation
An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT
Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations
Bilateral-Head Region-Based Convolutional Neural Networks: A Unified Approach for Incremental Few-Shot Object Detection
Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations
Maximum Probability Theorem: A Framework for Probabilistic Machine Learning
Learning From Mistakes: A Multilevel Optimization Framework
ANIMC: A Soft Approach for Autoweighted Noisy and Incomplete Multiview Clustering
An Overview of Swarm Coordinated Control
Learning Counterfactual Explanation of Graph Neural Networks via Generative Flow Network
One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning
Responsible AI: Portraits With Intelligent Bibliometrics
Adaptive Iterative Learning Control for Nonlinear Multiagent Systems With Initial Error Compensation
Adaptive Learning for Soil Classification in Laser-Induced Breakdown Spectroscopy Streaming
An Unbiased Fuzzy Weighted Relative Error Support Vector Machine for Reverse Prediction of Concrete Components
Ownership Infringement Detection for Generative Adversarial Networks Against Model Stealing
Deep-Learning-Based Uncertainty-Estimation Approach for Unknown Traffic Identification
Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
A Knowledge Flow Empowered Cognitive Framework for Decision Making With Task-Agnostic Data Regulation
Efficient Few-Shot Classification via Contrastive Pretraining on Web Data
Energy Efficient Quantum-Informed Ant Colony Optimization Algorithms for Industrial Internet of Things
An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection
Generative Adversarial Networks for Dynamic Malware Behavior: A Comprehensive Review, Categorization, and Analysis
A Decade Survey of Transfer Learning (2010-2020)
An Evolutionary Multitasking Algorithm for Efficient Multiobjective Recommendations
Robust Vehicle Detection in High-Resolution Aerial Images With Imbalanced Data
Unsupervised Action Recognition Using Spatiotemporal, Adaptive, and Attention-Guided Refining-Network
Deep Feature Unsupervised Domain Adaptation for Time-Series Classification
Time-Aware and Context-Sensitive Ensemble Learning for Sequential Data
Multiperson Activity Recognition and Tracking Based on Skeletal Keypoint Detection
360° High-Resolution Depth Estimation via Uncertainty-Aware Structural Knowledge Transfer
Go Beyond End-to-End Training: Boosting Greedy Local Learning With Context Supply
An Adaptive Federated Relevance Framework for Spatial-Temporal Graph Learning
An Overview of Emotion in Artificial Intelligence
Efficient Transformer Inference Through Hybrid Dynamic Pruning
t-SNVAE: Deep Probabilistic Learning With Local and Global Structures for Industrial Process Monitoring
An Attention Augmented Convolution-Based Tiny-Residual UNet for Road Extraction
DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease
Cooperative Advantage Actor-Critic Reinforcement Learning for Multiagent Pursuit-Evasion Games on Communication Graphs
Consistent Counterfactual Explanations via Anomaly Control and Data Coherence
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks
Association Hierarchical Representation Learning for Plant-Wide Process Monitoring by Using Multilevel Knowledge Graph
MTECC: A Multitask Learning Framework for Esophageal Cancer Analysis
An Improved Explainable Point Cloud Classifier (XPCC)
Deep Reinforcement Learning With Reward Design for Quantum Control
CSNAS: Contrastive Self-Supervised Learning Neural Architecture Search Via Sequential Model-Based Optimization
A Transistor Operations Model for Deep Learning Energy Consumption Scaling Law
MLCNN-LSTM-COV: A Multilabel Convolutional Neural Network and Long Short-Term Memory-Based Framework for Predicting Adverse COVID Drug Reactions
A New Causal Inference Framework for SAR Target Recognition
Two-Order Deep Learning for Generalized Synthesis of Radiation Patterns for Antenna Arrays
Decoupling Dark Knowledge via Block-Wise Logit Distillation for Feature-Level Alignment
Multiobjective Dynamic Flexible Job Shop Scheduling With Biased Objectives via Multitask Genetic Programming
Ensemble Image Explainable AI (XAI) Algorithm for Severe Community-Acquired Pneumonia and COVID-19 Respiratory Infections
Evaluating Negative Sampling Approaches for Neural Topic Models
Robust Identification of Figurative Language in Personal Health Mentions on Twitter
Fair Machine Learning in Healthcare: A Survey
Stable Learning via Triplex Learning
Universal Transfer Framework for Urban Spatiotemporal Knowledge Based on Radial Basis Function
ShadowMaskFormer: Mask Augmented Patch Embedding for Shadow Removal
From Behavior to Natural Language: Generative Approach for Unmanned Aerial Vehicle Intent Recognition
Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations
Alternating Excitation-Inhibition Dendritic Computing for Classification
Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems
Improving String Stability in Cooperative Adaptive Cruise Control Through Multiagent Reinforcement Learning With Potential-Driven Motivation
An Improved Continuous-Encoding-Based Multiobjective Evolutionary Algorithm for Community Detection in Complex Networks
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review
Modeling Tradeoffs Using Preference-Based Feedback in Session-Based Recommender Systems
Adaptive Decentralized Policies With Attention for Large-Scale Multiagent Environments
Tailor-Made Reinforcement Learning Approach With Advanced Noise Optimization for Soft Continuum Robots
Defending Against Poisoning Attacks in Federated Learning With Blockchain
Impulsive Consensus of One-Sided Lipschitz Multi-Agent Systems With Deception Attacks and Stochastic Perturbation
CTRL: Clustering Training Losses for Label Error Detection
Robot Path Planning via Neural-Network-Driven Prediction
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement
High-Resolution Urban Flows Forecasting With Coarse-Grained Spatiotemporal Data
G-Mix: A Generalized Mixup Learning Framework Toward Flat Minima
Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning
The New Generation Brain-Inspired Sparse Learning: A Comprehensive Survey
quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method
Multiagent Actor-Critic Generative AI for Query Resolution and Analysis
On Skull-Closed Machine Thinking Based on Emergent Turing Machines
Few-Shot Learning Network for Out-of-Distribution Image Classification
Traded Control of Human-Machine Systems for Sequential Decision-Making Based on Reinforcement Learning
Collision-Free Grasp Detection From Color and Depth Images
Frequency Attacks Based on Invertible Neural Networks
Performance Analysis and Design of a Weighted Personalized Quantum Federated Learning
Enabling Efficient and Interpretable Cybersecurity Reasoning Through Hyperdimensional Computing
Fair Server Selection in Edge Computing With $Q$-Value-Normalized Action-Suppressed Quadruple Q-Learning
Delayed Reward Bernoulli Bandits: Optimal Policy and Predictive Meta-Algorithm PARDI
Data-Driven Soft Sensing for Batch Processes Using Neural Network-Based Deep Quality-Relevant Representation Learning
A Type-2 Fuzzy-Based Explainable AI System for Predictive Maintenance Within the Water Pumping Industry
MRI Joint Superresolution and Denoising Based on Conditional Stochastic Normalizing Flow
Analysis of An Intellectual Mechanism of a Novel Crop Recommendation System Using Improved Heuristic Algorithm-Based Attention and Cascaded Deep Learning Network
An Explainable Intellectual Property Protection Method for Deep Neural Networks Based on Intrinsic Features
A Hardware-Aware Network for Real-World Single Image Super-Resolutions
Weighted Concept Factorization Based Incomplete Multi-view Clustering
Transfer-Learning-Aided Fault Detection for Traction Drive Systems of High-Speed Trains
A Neural State Pushdown Automata
Learning Visual Representation for Autonomous Drone Navigation via a Contrastive World Model
A Membership Inference and Adversarial Attack Defense Framework for Network Traffic Classifiers
Projective Fisher Information for Natural Gradient Descent
Absorb and Repel: Pseudo-Label Refinement for Intra-Camera Supervised Person Re-Identification
Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning
Kullback-Leibler Divergence-Based Regularized Normalization for Low-Resource Tasks
ContentDM: A Layout Diffusion Model for Content-Aware Layout Generation
OAFuser: Toward Omni-Aperture Fusion for Light Field Semantic Segmentation
Hedge-Embedded Linguistic Fuzzy Neural Networks for Systems Identification and Control
IN-GFD: An Interpretable Graph Fraud Detection Model for Spam Reviews
Text-Guided Portrait Image Matting
A Novel Incentive Mechanism for Federated Learning Over Wireless Communications
An Online Unsupervised Streaming Features Selection Through Dynamic Feature Clustering
Adaptive-Critic-Based Event-Triggered Intelligent Cooperative Control for a Class of Second-Order Constrained Multiagent Systems
A Novel Angular-Based Unsupervised Domain Adaptation Framework for Image Classification
Adaptive Intelligent Resilient Bipartite Formation Control for Nonlinear Multiagent Systems With False Data Injection Attacks on Actuators and Sensors
Mixture Density Function Estimation in Shape Clustering
A Two-Level Neural-RL-Based Approach for Hierarchical Multiplayer Systems Under Mismatched Uncertainties
Privacy and Fairness in Machine Learning: A Survey
PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels
On the Role of Priors in Bayesian Causal Learning
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
Event-Triggered Adaptive Bipartite Asymptotic Tracking Control Using Intelligent Technique for Stochastic Nonlinear Multiagent Systems
Brain-Inspired Evolutionary Architectures for Spiking Neural Networks
Empirical Analysis of Squeeze and Excitation-Based Densely Connected CNN for Chili Leaf Disease Identification
Adaptive Multidimensional Dual Attentive DCNN for Detecting Cardiac Morbidities Using Fused ECG-PPG Signals
CheckSelect: Online Checkpoint Selection for Flexible, Accurate, Robust, and Efficient Data Valuation
Data-Driven Event-Triggered Control for Discrete-Time Neural Networks Subject to Actuator Saturation
A Distributed Conditional Wasserstein Deep Convolutional Relativistic Loss Generative Adversarial Network With Improved Convergence
Migrant Resettlement by Evolutionary Multiobjective Optimization
Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm
Weakly Correlated Multimodal Domain Adaptation for Pattern Classification
Broad Siamese Network for Facial Beauty Prediction
ImageNet Classification Using WordNet Hierarchy
Evolution of Web API Cooperation Network via Exploring Community Structure and Popularity
A Novel Approach for Fair Principal Component Analysis Based on Eigendecomposition
Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation
GeoDCL: Weak Geometrical Distortion-Based Contrastive Learning for Fine-Grained Fashion Image Retrieval
ResNet-Based Parkinson's Disease Classification
Multiadvisor Reinforcement Learning for Multiagent Multiobjective Smart Home Energy Control
Can Shallow Neural Networks Beat the Curse of Dimensionality? A Mean Field Training Perspective
Artificial-Intelligence-Based Quantitative Fault Diagnosability Analysis of Spacecraft: An Information Geometry Perspective
Neural Network Output-Feedback Distributed Formation Control for NMASs Under Communication Delays and Switching Network
Multiobjective Multiverse Optimizer for Multirobotic U-Shaped Disassembly Line Balancing Problems
AutoKE: An Automatic Knowledge Embedding Framework for Scientific Machine Learning
Deep Learning-Based Dual Watermarking for Image Copyright Protection and Authentication
Adaptive Operator Selection for Meta-Heuristics: A Survey
Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs
Two-Dimensional Broad Learning System for Data Analytic
A Reinforcement Learning System for Generating Instantaneous Quality Random Sequences
Consistency-Heterogenity Balanced Fake News Detection via Cross-Modal Matching
Neural Network-Based Ensemble Learning Model to Identify Antigenic Fragments of SARS-CoV-2
Long-Term Prediction on Graph Data With Causal Network Construction
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Optimizing Multidocument Summarization by Blending Reinforcement Learning Policies
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges
FastSlowMo: Federated Learning With Combined Worker and Aggregator Momenta
Learning Multipursuit Evasion for Safe Targeted Navigation of Drones
A Novel Grades Prediction Method for Undergraduate Students by Learning Explicit Conditional Distribution
Optimal Tracking Neuro-Control of Continuous Stirred Tank Reactor Systems: A Dynamic Event-Driven Approach
Event-Triggered Fuzzy Adaptive Stabilization of Parabolic PDE-ODE Systems
K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers
Adaptive Multiparticle Swarm Neural Architecture Search for High-Incidence Cancer Prediction
Masked Siamese Prompt Tuning for Few-Shot Natural Language Understanding
Bidirectional Influence and Interaction for Multiagent Reinforcement Learning
Degradation-Trend-Aware Deep Neural Network With Attention Mechanism for Bearing Remaining Useful Life Prediction
Learning to Play Koi-Koi Hanafuda Card Games With Transformers
A Dense Multicross Self-Attention and Adaptive Gated Perceptual Unit Method for Few-Shot Semantic Segmentation
Constraint Preserving Score for Automatic Hyperparameter Tuning of Dimensionality Reduction Methods for Visualization
A Comprehensive Survey on Diagnostic Microscopic Imaging Modalities, Challenges, Taxonomy, and Future Directions for Cervical Abnormality Detection and Grading
Temporal Knowledge Graph for Food Risk Prediction
Fuzzy Observer Based Constraint Control for Switched Systems With Actuator Failures and Partially Unstable Subsystems