yusuke1997/dblp-id-title huggingface dataset:
GPA: Grover Policy Agent for Generating Optimal Quantum Sensor Circuits
APR-Net: Defense Against Adversarial Examples Based on Universal Adversarial Perturbation Removal Network
Visual-Semantic Fuzzy Interaction Network for Zero-Shot Learning
Human Cognitive Learning in Shared Control via Differential Game With Bounded Rationality and Incomplete Information
A Novel Framework for Improved Grasping of Thin and Stacked Objects
Deep Learning-Based Method for Irrigation Status Detection in Tomato Using Plant Leaves
A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks
Adaptive Finite-Time Neural Constrained Control for Nonlinear Active Suspension Systems Based on the Command Filter
A Hybrid Lane Detection Model for Wild Road Conditions
Manipulation Attacks on Learned Image Compression
How Artificial Intelligence Helped the Humanity During the COVID-19 Pandemic: A Review
Toward the Development of Versatile Brain-Computer Interfaces
Deep Q-Learning-Based Molecular Graph Generation for Chemical Structure Prediction From Infrared Spectra
Prototype-Based Interpretable Graph Neural Networks
Incomplete Graph Learning via Partial Graph Convolutional Network
SBP-GCA: Social Behavior Prediction via Graph Contrastive Learning With Attention
Nonoverlapping Feature Projection Convolutional Neural Network With Differentiable Loss Function
Fuzzy Neural Network-Based Adaptive Asymmetric Constraint Control in Wastewater Treatment Process
Quantization-Based 3D-CNNs Through Circular Gradual Unfreezing for DeepFake Detection
Is Perceptual Encryption Secure? A Security Benchmark for Perceptual Encryption Methods
Condition-Based Maintenance for Performance Degradation Under Nonperiodic Unreliable Inspections
Design of Observer-Based Control With Residual Generator Using Actor-Critic Reinforcement Learning
Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials
A Deep Learning-Based Method for Crowd Counting Using Shunting Inhibition Mechanism
Multimodal Fusion Induced Attention Network for Industrial VOCs Detection
Remaining Useful Life Prediction via Frequency Emphasizing Mix-Up and Masked Reconstruction
Enhanced Broad Siamese Network for Facial Emotion Recognition in Human-Robot Interaction
Vector Detection Network: An Application Study on Robots Reading Analog Meters in the Wild
Privacy-Preserving Human Activity Recognition System for Assisted Living Environments
Evaluation Methods and Measures for Causal Learning Algorithms
MalaNet: A Small World Inspired Neural Network for Automated Malaria Diagnosis
A Self-Labeling Method for Adaptive Machine Learning by Interactive Causality
Predicting Nash Equilibria in Bimatrix Games Using a Robust Bichannel Convolutional Neural Network
Adaptation: Blessing or Curse for Higher Way Meta-Learning
A Support Vector Neural Network for P300 EEG Signal Classification
ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System Combining Deep and Broad Representations
Decomposing Visual and Semantic Correlations for Both Fully Supervised and Few-Shot Image Classification
An Intelligent Fingerprinting Technique for Low-Power Embedded IoT Devices
Curriculum Guided Domain Adaptation in the Dark
Graph Learning: A Survey
Adaptive Intelligent Control-Based Consensus Tracking for a Class of Switched Nonstrict Feedback Nonlinear Multiagent Systems With Unmodeled Dynamics
Designing New Blood-Brain Barrier Penetrating Molecules Using Novel Hybridized Gravitational Search Algorithm and Explainable AI
Fuzzy Information Quantity Measurement and Feature Selection by Macrogranular Entropy
Result-Based Re-computation for Error-Tolerant Classification by a Support Vector Machine
Image Super-Resolution With Content-Aware Feature Processing
Fuzzy Logic Strikes Back: Fuzzy ODEs for Dynamic Modeling and Uncertainty Quantification
Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving
AugDiff: Diffusion-Based Feature Augmentation for Multiple Instance Learning in Whole Slide Image
Industrial Process Monitoring Based on Deep Gaussian and Non-Gaussian Information Fusion Framework
Machine Learning for Smart Agriculture: A Comprehensive Survey
A Comprehensive Survey on Graph Summarization With Graph Neural Networks
Modified ResNet-152 Network With Hybrid Pyramidal Pooling for Local Change Detection
Capacity Abuse Attack of Deep Learning Models Without Need of Label Encodings
Flexible Constraints-Based Adaptive Intelligent Event-Triggered Control for Slowly Switched Nonlinear Systems Using Reinforcement Learning
A Supervised-Learning Assisted Computation Method for Power System Planning
Scaling the Inference of Digital Pathology Deep Learning Models Using CPU-Based High-Performance Computing
HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification
Adversarial Masked Autoencoders Are Robust Vision Learners
An Extreme Gradient Boosting Aided Fault Diagnosis Approach: A Case Study of Fuse Test Bench
Approaches and Applications of Early Classification of Time Series: A Review
Broadcast Gossip Algorithm for Nash Equilibrium Seeking of Nonaggregative Games
Vision Intelligence Assisted Lung Function Estimation Based on Transformer Encoder-Decoder Network With Invertible Modeling
Symmetry-Informed Reinforcement Learning and its Application to Low-Level Attitude Control of Quadrotors
Improving Source Tracking Accuracy Through Learning-Based Estimation Methods in SH Domain: A Comparative Study
Dynamic Instance-Wise Classification in Correlated Feature Spaces
A Trustworthy AIoT-Enabled Localization System via Federated Learning and Blockchain
ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement
Meta-XAI for Explaining the Explainer: Unveiling Image Features Driving Deep Learning Decisions
Feature Selection for Unbalanced Distribution Hybrid Data Based on ${k}$-Nearest Neighborhood Rough Set
Learning Neural Network Classifiers by Distributing Nearest Neighbors on Adaptive Hypersphere
Lightweight Convolutional-iConformer for Sound Event Detection
Enhancing Aerial Object Detection With Selective Frequency Interaction Network
Mining Sequential Alarm Pattern Based on the Incremental Causality PrefixSpan Algorithm
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup
AI-Generated Versus Human Text: Introducing a New Dataset for Benchmarking and Analysis
Reinforcement Learning-Based Time-Synchronized Optimized Control for Affine Systems
Low-Quality Deepfake Detection via Unseen Artifacts
A Transfer Learning Model for Gesture Recognition Based on the Deep Features Extracted by CNN
Domain-Centroid-Guided Progressive Teacher-Based Knowledge Distillation for Source-Free Domain Adaptation of Histopathological Images
Offline-Online Actor-Critic
Learning Multiresolution Features for Unsupervised Anomaly Localization on Industrial Textured Surfaces
Malicious Clients and Contribution Co-Aware Federated Unlearning
Ethical Decision-Making for the Inside of Autonomous Buses Moral Dilemmas
A Quantum Multimodal Neural Network Model for Sentiment Analysis on Quantum Circuits
Multimodality Consistency for Point Cloud Completion via Differentiable Rendering
Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning
Boundary-Aware Uncertainty Suppression for Semi-Supervised Medical Image Segmentation
Bellman Neural Networks for the Class of Optimal Control Problems With Integral Quadratic Cost
Sector-Based Pairs Trading Strategy With Novel Pair Selection Technique
A Nonparametric Split and Kernel-Merge Clustering Algorithm
Enhancing Generalization of Offline RL in Data-Limited Settings With Heuristic Rules
Developing a Reliable Shallow Supervised Learning for Thermal Comfort Using Multiple ASHRAE Databases
Audio Representation Learning by Distilling Video as Privileged Information
A Survey on Siamese Network: Methodologies, Applications, and Opportunities
Residual Tensor Train: A Quantum-Inspired Approach for Learning Multiple Multilinear Correlations
Att 2 CPC: Attention-Guided Lossy Attribute Compression of Point Clouds
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing
Margin-Aware Adaptive-Weighted-Loss for Deep Learning Based Imbalanced Data Classification
Nudging Toward Responsible Recommendations: A Graph-Based Approach to Mitigate Belief Filter Bubbles
Thermodynamics-Informed Graph Neural Networks
A Systematic Review on the Use of AI and ML for Fighting the COVID-19 Pandemic
Incremental Semisupervised Learning With Adaptive Locality Preservation for High-Dimensional Data
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally
A Global-Local Attentive Relation Detection Model for Knowledge-Based Question Answering
Query Attack by Multi-Identity Surrogates
Interpreting the Latent Space of GANs via Measuring Decoupling
Stand-Alone Composite Attention Network for Concrete Structural Defect Classification
Multiview Video-Based 3-D Hand Pose Estimation
HDL: Hybrid and Dynamic Learning for Fake Face Recognition
Self-Supervised Representation Learning for Knee Injury Diagnosis From Magnetic Resonance Data
Feature Subset Selection With Multi-Scale Fuzzy Granulation
Nonlinear Regression With Hierarchical Recurrent Neural Networks Under Missing Data
Development of an Optimal Entropy Classifier and Prudent Learning Model
Regret and Belief Complexity Tradeoff in Gaussian Process Bandits via Information Thresholding
A Rearrangement and Restore-Based Mixer Model for Target-Oriented Multimodal Sentiment Classification
Quick Learning Mechanism With Cross-Domain Adaptation for Intelligent Fault Diagnosis
Sparse Vicious Attacks on Graph Neural Networks
Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model
Editorial: What is Artificial Intelligence?
Shuffled Grouping Cross-Channel Attention-Based Bilateral-Filter-Interpolation Deformable ConvNet With Applications to Benthonic Organism Detection
Composite Learning Adaptive Intelligent Self-Triggered Fault-Tolerant Control With Improved Performance Assurance for Autonomous Surface Vehicle
A Similarity-Based Positional Attention-Aided Deep Learning Model for Copy-Move Forgery Detection
Herb-Target Interaction Prediction by Multiinstance Learning
Multiagent Hierarchical Deep Reinforcement Learning for Operation Optimization of Grid-Interactive Efficient Commercial Buildings
A Novel Applicable Shadow Resistant Neural Network Model for High-Efficiency Grid-Level Pavement Crack Detection
Adaptive Interval Type-2 Fuzzy Filter: An AI Agent for Handling Uncertainties to Preserve Image Naturalness
Editorial: Future Directions in Artificial Intelligence Research
Toward Personalization of User Preferences in Partially Observable Smart Home Environments
SSpose: Self-Supervised Spatial-Aware Model for Human Pose Estimation
Deep Learning-Based Holistic Speaker Independent Visual Speech Recognition
Temporal Knowledge Extrapolation Based on Fine-Grained Tensor Graph Attention Network for Responsible AI
A Subspace Projective Clustering Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks
Event-Triggered Optimal Control for the Continuous Stirred Tank Reactor System
Explainable Attention Pruning: A Metalearning-Based Approach
Toward Text Data Augmentation for Sentiment Analysis
Next-Generation Computer Vision in Veterinary Medicine: A Study on Canine Ophthalmology
Positive Sample Mining: Fuzzy Threshold-Based Contrastive Learning for Enhanced Unsupervised Skeleton-Based Action Recognition
Epileptic Seizure Prediction Using Stacked CNN-BiLSTM: A Novel Approach
Generative Agents in Agent-Based Modeling: Overview, Validation, and Emerging Challenges
Feedback Generative Adversarial Network With Channel-Space Attention for Image-Based Optimal Path Search Planning
Age-Aware UAV-Aided Energy Harvesting for the Design of Wireless Rechargeable Mobile Networks
Steganography in Style Transfer
Recommender Systems Based on Nonnegative Matrix Factorization: A Survey
A Novel Visual Transformer for Long-Distance Pipeline Pattern Recognition in Complex Environment
Adaptive Neuroevolution With Genetic Operator Control and Two-Way Complexity Variation
Mutual Adaptation: Learning From Prototype for Time-Series Prediction
ReLAQA: Reinforcement Learning-Based Autonomous Quantum Agent for Quantum Applications
Toward Symptom Assessment Guided Symptom Investigation and Disease Diagnosis
Integrating Constraints Into Dimensionality Reduction for Visualization: A Survey
Ensuring Reliable Learning in Graph Convolutional Networks: Convergence Analysis and Training Methodology
Automated Bundle Branch Block Detection Using Multivariate Fourier-Bessel Series Expansion-Based Empirical Wavelet Transform
Prefetching-based Multiproposal Markov Chain Monte Carlo Algorithm
Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation
Social NSTransformers: Low-Quality Pedestrian Trajectory Prediction
Muscle-Synergy-Based Planning and Neural-Adaptive Control for a Prosthetic Arm
Efficient Solution Validation of Constraint Satisfaction Problems on Neuromorphic Hardware: The Case of Sudoku Puzzles
Robust Graph Autoencoder-Based Detection of False Data Injection Attacks Against Data Poisoning in Smart Grids
Bidirectional Gated Recurrent Unit-Based Lower Upper Bound Estimation Method for Wind Power Interval Prediction
Towards Efficient Multi-UAV Air Combat: An Intention Inference and Sparse Transmission Based Multiagent Reinforcement Learning Algorithm
Building a Robust and Efficient Defensive System Using Hybrid Adversarial Attack
DDM-Lag: A Diffusion-Based Decision-Making Model for Autonomous Vehicles With Lagrangian Safety Enhancement
Prioritized Local Matching Network for Cross-Category Few-Shot Anomaly Detection
PpNNT: Multiparty Privacy-Preserving Neural Network Training System
Prescribed-Time Adaptive Intelligent Formation Controller for Nonlinear Multiagent Systems Based on Time-Domain Mapping
Deep Curious Feature Selection: A Recurrent, Intrinsic-Reward Reinforcement Learning Approach to Feature Selection
A Temporal-Spatial Graph Network With a Learnable Adjacency Matrix for Appliance-Level Electricity Consumption Prediction
A Comparative Review of Deep Learning Techniques on the Classification of Irony and Sarcasm in Text
Memory Prompt for Spatiotemporal Transformer Visual Object Tracking
Rényi State Entropy Maximization for Exploration Acceleration in Reinforcement Learning
EEG Emotion Recognition Based on an Implicit Emotion Regulatory Mechanism
Communication-Efficient Federated Learning for Decision Trees
Defense Against Adversarial Faces at the Source: Strengthened Faces Based on Hidden Disturbances
Optimal Policy for Bernoulli Bandits: Computation and Algorithm Gauge
Intelligent Proximate Analysis of Coal Based on Near-Infrared Spectroscopy and Multioutput Deep Learning
Learn From Safe Experience: Safe Reinforcement Learning for Task Automation of Surgical Robot
Bipartite Cooperative Coevolution for Energy-Aware Coverage Path Planning of UAVs
Mean-Shift Based Differentiable Architecture Search
Large-Scale Parallel Cognitive Diagnostic Test Assembly Using A Dual-Stage Differential Evolution-Based Approach
Unsupervised Domain-Adaptation-Based Tensor Feature Learning With Structure Preservation
Writing in the Air: Unconstrained Text Recognition From Finger Movement Using Spatio-Temporal Convolution
Hybrid Intelligent Dynamic Optimization of Switched Systems
Silver Lining in the Fake News Cloud: Can Large Language Models Help Detect Misinformation?
Explainable AI for a No-Teardown Vehicle Component Cost Estimation: A Top-Down Approach
Cooperative Resilience in Artificial Intelligence Multiagent Systems
Non-uniform Illumination Attack for Fooling Convolutional Neural Networks
NVMS-Net: A Novel Constrained Noise-View Multiscale Network for Detecting General Image Processing Based Manipulations
Artificial Intelligence-Driven Framework for Augmented Reality Markerless Navigation in Knee Surgery
Transformer-Based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey
A Bibliometric Review of Soft Computing for Recommender Systems and Sentiment Analysis
Neural Architecture Search for Image Dehazing
Robust Scale-Aware Stereo Matching Network
Interacting Multiple Model Framework for Incipient Diagnosis of Interturn Faults in Induction Motors
Model-Based Offline Reinforcement Learning With Uncertainty Estimation and Policy Constraint
A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets
Emotion Flip Reasoning in Multiparty Conversations
Traffexplainer: A Framework Toward GNN-Based Interpretable Traffic Prediction
Uncovering Incentives for Implementing AI Governance Programs: Evidence From the Field
Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk
Replication Robust Payoff Allocation in Submodular Cooperative Games
Hierarchical Spatial-Temporal Masked Contrast for Skeleton Action Recognition
Supervised Local Training With Backward Links for Deep Neural Networks
Monocular 3-D Reconstruction of Blast Furnace Burden Surface Based on Cross-Domain Generative Self-Supervised Network
Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain
Sparsing and Smoothing for the seq2seq Models
Discovering High Utility Episodes in Sequences
Data-Centric Green Artificial Intelligence: A Survey
Generating Long Financial Report Using Conditional Variational Autoencoders With Knowledge Distillation
Adaptive Optimal Consensus Control of Multiagent Systems With Unknown Dynamics and Disturbances via Reinforcement Learning
Intergroup Cascade Broad Learning System With Optimized Parameters for Chaotic Time Series Prediction
RATs-NAS: Redirection of Adjacent Trails on Graph Convolutional Networks for Predictor-Based Neural Architecture Search
Estimation and Applications of Quantiles in Deep Binary Classification
Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models
Ultralight-Weight Three-Prior Convolutional Neural Network for Single Image Super Resolution
Physics-Informed Neural Networks for Modeling Water Flows in a River Channel
An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient-Boosting and Fuzzy Rule-Based Models
Graph Convolutional Neural Network for Human Action Recognition: A Comprehensive Survey
Stochastic Submodular Bandits With Delayed Composite Anonymous Bandit Feedback
SecureLLAMA: Secure FPGAs Using LLAMA Large Language Models
Do Preprocessing and Class Imbalance Matter to the Deep Image Classifiers for COVID-19 Detection? An Explainable Analysis
New Artificial Intelligence Approach to Inclination Measurement Based on MEMS Accelerometer
Unsupervised Learning of Unbiased Visual Representations
Low-Rank Multilabel Learning Based on Nonlinear Mapping
SemanticHash: Hash Coding Via Semantics-Guided Label Prototype Learning
A Survey of Security Protection Methods for Deep Learning Model
Exploiting Gaussian Noise Variance for Dynamic Differential Poisoning in Federated Learning
Heterogeneous Graph Contrastive Learning With Augmentation Graph
Semisupervised Transfer Boosting (SS-TrBoosting)
Group Ensemble Block: Subspace Diversity Improves Coarse-to-Fine Image Retrieval
A Study of Enhancing Federated Learning on Non-IID Data With Server Learning
Swin-MGNet: Swin Transformer Based Multiview Grouping Network for 3-D Object Recognition
Lightweight Parallel Convolutional Neural Network With SVM Classifier for Satellite Imagery Classification
FedDGA: Federated Multitask Learning Based on Dynamic Guided Attention
Self-Supervised Graph Information Bottleneck for Multiview Molecular Embedding Learning
CVDLLM: Automated Cardiovascular Disease Diagnosis With Large-Language-Model-Assisted Graph Attentive Feature Interaction
Distributed Adaptive Inverse Differential Game Approach to Leader's Behavior Learning for Multiple Autonomous Followers
FaceTopoNet: Facial Expression Recognition Using Face Topology Learning
Dual-Event-Triggered Intelligence Security Control for Multiagent Systems Against DoS Attacks With Applications in Mobile Robot Systems
Multiscale and Multilayer Contrastive Learning for Domain Generalization
Deep Reconstruction of 3-D Human Poses From Video
Encoding Hierarchical Information in Neural Networks Helps in Subpopulation Shift
Robust and Verifiable Privacy Federated Learning
A Multichannel Long-Term External Attention Network for Aeroengine Remaining Useful Life Prediction
Production Disentanglement and Exogenous Analysis Transformer for Petroleum Production Prediction
DrugMAP: Deep Multimodal Transformers for Drug-Target Mechanism of Action Prediction
Self-Supervised Pose Adaptation for Cross-Domain Image Animation
A Hybrid Regularized Multilayer Perceptron for Input Noise Immunity
Self-Model-Free Learning Versus Learning With External Rewards in Information Constrained Environments
Unsupervised Multivariate Time Series Anomaly Detection by Feature Decoupling in Federated Learning Scenarios
Image Tampering Detection With Frequency-Aware Attention and Multiview Fusion
Aperiodically Intermittent Control Approach to Finite-Time Synchronization of Delayed Inertial Memristive Neural Networks
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
Games for Artificial Intelligence Research: A Review and Perspectives
Disturbance Robust Abnormality Diagnosis of Fused Magnesium Furnaces Using Deep Neural Networks
Rethinking Transferable Adversarial Attacks With Double Adversarial Neuron Attribution
Hybrid Intelligent Optimization of Nonlinear Switched Systems With Guaranteed Feasibility
Unsupervised Deep Metric Learning via Orthogonality Based Probabilistic Loss
Reinforced Reweighting for Self-Supervised Partial Domain Adaptation
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics
Blockchain-based object detection scheme using federated learning
Using machine learning techniques to identify rare cyber-attacks on the UNSW-NB15 dataset
Special Issue on security and privacy in Internet of Things and cloud computing systems
Understanding phishers' strategies of mimicking uniform resource locators to leverage phishing attacks: A machine learning approach
A review and an empirical analysis of privacy policy and notices for consumer Internet of things
Providing robust and reversible watermarking algorithm and detection of malicious manipulation
Modified Variational Autoencoder and Attention Mechanism-Based Long Short-Term Memory for Detecting Intrusions in Imbalanced Network Traffic
Chaotic neural networks and farfalle construction based parallel keyed secure hash function
A protocol to establish trust on biometric authentication devices
Application of blockchain technology in the data processing security system of financial enterprises
Import and export trade forecasting algorithm based on blockchain security and PSO optimized hybrid RVM model
From data flows to privacy-benefit trade-offs: A user-centric semantic model
Mass surveillance: A study of past practices and technologies to predict future directions
Research on privacy leakage of celebrity's ID card number based on real-name authentication
Qualitative Exploration of Data Security Risks in Mobile Cloud Computing for Higher Education
MyEasyHealthcare : An efficient and secure three-tier blockchain-based healthcare system
Differential analysis of the NBC algorithm based on mixed integer linear programming model
CookieArmor : Safeguarding against cross-site request forgery and session hijacking
SAFe-Health: Guarding federated learning-driven smart healthcare with federated defense averaging against data poisoning
Heterogeneous signcryption with keyword search for wireless body area network
Contemplating social engineering studies and attack scenarios: A review study
Security in 5G and beyond recent advances and future challenges
A secret key establishment in frequency division duplex communication systems under active attacker
Blockchain integration in big data: Review, vision, and opportunities