yusuke1997/dblp-id-title huggingface dataset:
A Game-Theoretic Approach to Containing Artificial General Intelligence: Insights From Highly Autonomous Aggressive Malware
Path-Aware Few-Shot Knowledge Graph Completion
AutoFac: The Perpetual Robot Machine
Modeling and Clustering of Parabolic Granular Data
A Causality-Informed Graph Intervention Model for Pancreatic Cancer Early Diagnosis
Deep Model Intellectual Property Protection With Compression-Resistant Model Watermarking
Brightness Perceiving for Recursive Low-Light Image Enhancement
Leveraging AI to Compromise IoT Device Privacy by Exploiting Hardware Imperfections
Lightweight Dynamic Convolutional Network for Crowd Counting Based on Curriculum Reinforcement Learning
Multitarget Stochastic Configuration Network and Applications
Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution
Cross-View Masked Model for Self-Supervised Graph Representation Learning
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives
Online Streaming Features Causal Discovery Algorithm Based on Partial Rank Correlation
Guest Editorial: Operationalizing Responsible AI
Unsigned Road Incidents Detection Using Improved RESNET From Driver-View Images
Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity
SAMScore: A Content Structural Similarity Metric for Image Translation Evaluation
Partial Point Cloud Registration With Deep Local Feature
M2R2: Missing-Modality Robust Emotion Recognition Framework With Iterative Data Augmentation
Electrocardiogram Heartbeat Classification Using Machine Learning and Ensemble Convolutional Neural Network-Bidirectional Long Short-Term Memory Technique
U-Park: A User-Centric Smart Parking Recommendation System for Electric Shared Micromobility Services
Multiobjective Optimization for Traveling Salesman Problem: A Deep Reinforcement Learning Algorithm via Transfer Learning
Action Recognition in Dark Videos Using Spatio-Temporal Features and Bidirectional Encoder Representations From Transformers
Rethinking Logic Minimization for Tabular Machine Learning
Distributed Fixed-Time Algorithms for Time-Varying Constrained Optimization Problems
Unimodal Distributions for Ordinal Regression
$\log$-Sigmoid Activation-Based Long Short-Term Memory for Time-Series Data Classification
Optimizing Neural Network Training: A Markov Chain Approach for Resource Conservation
Location, Neighborhood, and Semantic Guidance Network for RGB-D Co-Salient Object Detection
SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network
Dynamic Instance-wise Joint Feature Selection and Classification
Q-Cogni: An Integrated Causal Reinforcement Learning Framework
Fault Detection and Diagnosis Using Statistic Feature and Improved Broad Learning for Traction Systems in High-Speed Trains
Quantifying Explainability of Saliency Methods in Deep Neural Networks With a Synthetic Dataset
Beyond Histogram Comparison: Distribution-Aware Simple-Path Graph Kernels
A Fine-Grained Detector of Face Mask Wearing Status Based on Improved YOLOX
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets
Diverse Hazy Image Synthesis via Coloring Network
Graph Dual Adversarial Network for Hyperspectral Image Classification
Dilation-Supervised Learning: A Novel Strategy for Scale Difference in Retinal Vessel Segmentation
Multiple Resolutions Detail Enhancement Network for Real-Time Image Semantic Segmentation
MTPret: Improving X-Ray Image Analytics With Multitask Pretraining
A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19
Regressing Word and Sentence Embeddings for Low-Resource Neural Machine Translation
Bi-LSTM Sequence Modeling for On-The-Fly Fine-Grained Sketch-Based Image Retrieval
CycleGAN*: Collaborative AI Learning With Improved Adversarial Neural Networks for Multimodalities Data
GarbageNet: A Unified Learning Framework for Robust Garbage Classification
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach
Interpreting Tangled Program Graphs Under Partially Observable Dota 2 Invoker Tasks
Guest Editorial: Special Issue on Physics-Informed Machine Learning
Mitigating Bias in Bayesian Optimized Data While Designing MacPherson Suspension Architecture
Landmark-Aware and Part-Based Ensemble Transfer Learning Network for Static Facial Expression Recognition from Images
Discriminative Deep Generalized Dependency Analysis for Multi-View Data
Active Gradient Manipulation for Privacy Breaching in Vertical Federated Learning
Class-Separation Preserving Pruning for Deep Neural Networks
Guest Editorial: AutoML for Nonstationary Data
RAGAN: Regression Attention Generative Adversarial Networks
A Review on Transferability Estimation in Deep Transfer Learning
O-Minus Decomposition for Multiview Tensor Subspace Clustering
Pruning Networks Only Using Few-Shot Pretraining Based on Gradient Similarity Frequency
An Automated Identification Approach for Partial Discharge Detection Using Density-Based Clustering Without User Inputs
Adaptive Intelligent Controller Design-Based ISS Modular Approach for Uncertain Nonlinear Systems With Time-Varying Full-State Constraints
An Intelligent Chatbot Assistant for Comprehensive Troubleshooting Guidelines and Knowledge Repository in Printed Circuit Board Production
Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network
Proximal Policy Optimization With Advantage Reuse Competition
Reinforcement Learning Based Truck-and-Drone Coordinated Delivery
Regional Ensemble for Improving Unsupervised Outlier Detectors
An Approach for Privacy-Aware Mobile App Package Recommendation
Safe Adaptive Dynamic Programming for Multiplayer Systems With Static and Moving No-Entry Regions
Rethinking DABNet: Light-Weight Network for Real-Time Semantic Segmentation of Road Scenes
Video-Based Depth Estimation Autoencoder With Weighted Temporal Feature and Spatial Edge Guided Modules
Towards Disturbance Rejection in Feature Pyramid Network
Deep-Learning-Based Dual Denoising Algorithm for Shielding-Free Magnetic Resonance Imaging
A Stratified Seed Selection Algorithm for $K$-Means Clustering on Big Data
Similar or Related: Spectral-Based Item Relationship Mining With Graph Convolutional Network for Complementary Recommendation
Differentiation of Benign and Malignant Masses in Mammogram Using 2D-Fourier-Bessel Intrinsic Band Functions and Improved Feature Space
Dynamic Combination Forecasting for Short-Term Photovoltaic Power
Effectiveness of Deep Learning on Serial Fusion Based Biometric Systems
Navigating Data-Centric Artificial Intelligence With DC-Check: Advances, Challenges, and Opportunities
Editorial Interdisciplinary Artificial Intelligence Research With Machine Education as an Example
Sequential Datum-wise Feature Acquisition and Classifier Selection
Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems
Solving Orienteering Problems by Hybridizing Evolutionary Algorithm and Deep Reinforcement Learning
Optimal Control of Stochastic Markovian Jump Systems With Wiener and Poisson Noises: Two Reinforcement Learning Approaches
Double-Quantitative Feature Selection Approach for Multigranularity Ordered Decision Systems
Adaptive Prescribed-Time Neural Control of Nonlinear Systems via Dynamic Surface Technique
Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison
FIMKD: Feature-Implicit Mapping Knowledge Distillation for RGB-D Indoor Scene Semantic Segmentation
Reinforcement Learning for Solving Colored Traveling Salesman Problems: An Entropy-Insensitive Attention Approach
A Similarity Matrix Low-Rank Approximation and Inconsistency Separation Fusion Approach for Multiview Clustering
An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring
Neural Tree Decoder for Interpretation of Vision Transformers
Context Aware Automatic Polyp Segmentation Network With Mask Attention
Behavioral Decision-Making of Mobile Robots Simulating the Functions of Cerebellum, Basal Ganglia, and Hippocampus
Feature-Aligned Stacked Autoencoder: A Novel Semisupervised Deep Learning Model for Pattern Classification of Industrial Faults
Fast $K$-Medoids With the $l_{1}$-Norm
Attention-Based Multiagent Graph Reinforcement Learning for Service Restoration
Event-Triggered Cooperative Tracking Control of Multiagent Systems With a Dynamic Leader via Approximate Dynamic Programming
An End-To-End Neuromorphic Radio Classification System With an Efficient Sigma-Delta-Based Spike Encoding Scheme
Bootstrap-Based Layerwise Refining for Causal Structure Learning
MDA-GAN: Multiscale and Dual Attention Generative Adversarial Network for Bone Suppression in Chest X-Rays
Communication-Efficient Distributed Learning for Nash Equilibrium of Aggregative Games Over Time-Varying Digraphs
ITF-VAE: Variational Auto-Encoder Using Interpretable Continuous Time Series Features
Federated Reinforcement Learning With Knowledge Transfer for Network Selection in Hybrid WiFi-VLC Networks
Novel Unsupervised Learning Architecture for Exposure-Based Classification and Enhancement
A Secure and Efficient Biometric Template Protection Scheme for Palmprint Recognition System
X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams
Mobile Network Traffic Prediction Using Temporal Fusion Transformer
Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges, and Perspectives
Learning Empirical Inherited Intelligent MPC for Switched Systems With Network Security Communication
RSMBSP-DON: RNA-Small Molecule Binding Sites Prediction by Dual-Path Feature Extraction and One-Dimensional Multiscale Feature Fusion Network
Data-Driven Technology Applications in Planning, Demand-Side Management, and Cybersecurity for Smart Household Community
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans
A Deep Learning-Based Joint Image Super-Resolution and Deblurring Framework
Revisiting LARS for Large Batch Training Generalization of Neural Networks
Lightweight Learning for Partial and Occluded Person Re-Identification
AdaInject: Injection-Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks
Neural-Based Predefined-Time Distributed Optimization of High-Order Nonlinear Multiagent Systems
Ensuring Fairness in Spectral Clustering via Disparate Impact-Based Graph Construction
Multiscale Bilateral Attention Fusion Network for Pansharpening
Differentially Private and Heterogeneity-Robust Federated Learning With Theoretical Guarantee
Guest Editorial: Special Issue on Artificial Intelligence Methods for Maintenance and Safety of Automation Systems
Integrating Large Language Model for Improved Causal Discovery
Model Access Control Based on Hidden Adversarial Examples for Automatic Speech Recognition
Joint Detection of Rhythmic and Morphological Abnormalities in Electrocardiographic Images: A Multitask Learning Approach
Efficient Real-Time Recognition Model of Plant Diseases for Low-Power Consumption Platform
An Adaptive Deep Learning Based Short-Term Wind Speed Forecasting Model for Variable Terrain Conditions
C 2 RS: Multimodal Knowledge Graph Completion With Cross-Modal Consistency and Relation Semantics
Combination of Information in Labeled and Unlabeled Data via Evidence Theory
Temporal Refinement Graph Convolutional Network for Skeleton-Based Action Recognition
Rule-Based Out-of-Distribution Detection
Optimal Output Feedback Tracking Control for Takagi-Sugeno Fuzzy Systems
A Lightweight Multidendritic Pyramidal Neuron Model With Neural Plasticity on Image Recognition
A Dual-Stage Semi-Supervised Pre-Training Approach for Medical Image Segmentation
Optimization of Patient Specific Stimulus for Deep Brain Stimulation Using Spatially Distributed Neural Sources
Enhancing Facial Expression Recognition With AI Agents: A Semisupervised Guided Adaptive $\beta$-VAE Coupled With Interval Type-2 Fuzzy Classifier
LoRaDIP: Low-Rank Adaptation With Deep Image Prior for Generative Low-Light Image Enhancement
Unformer: A Transformer-Based Approach for Adaptive Multiscale Feature Aggregation in Underwater Image Enhancement
Directed Acyclic Graphs With Tears
Low Quality Retinal Blood Vessel Image Boosting Using Fuzzified Clustering
$n$-LIPO: Framework for Diverse Cooperative Agent Generation Using Policy Compatibility
Online Aware Synapse Weighted Autoencoder for Recovering Random Missing Data in Wastewater Treatment Process
Suspension Regulation of Medium-Low-Speed Maglev Trains Via Deep Reinforcement Learning
Phrase-Based Affordance Detection via Cyclic Bilateral Interaction
Histogram Layers for Texture Analysis
A Multimodal-Driven Fusion Data Augmentation Framework for Emotion Recognition
Short-Term Residential Load Forecasting via Pooling-Ensemble Model With Smoothing Clustering
Adversarial Graph Disentanglement With Component-Specific Aggregation
CrackLens: Automated Sidewalk Crack Detection and Segmentation
Detection of Unknown-Unknowns in Human-in-Loop Human-in-Plant Safety Critical Systems
Energy Efficient and Fast CNN Inference by Exploring Weight Approximation and Computational Reuse
Fostering Human Rights in Responsible AI: A Systematic Review for Best Practices in Industry
Focal Transfer Graph Network and Its Application in Cross-Scene Hyperspectral Image Classification
A Framework for Modeling and Optimization of Data-Driven Energy Systems Using Machine Learning
A Neural-Reinforcement-Learning-Based Guaranteed Cost Control for Perturbed Tracking Systems
Federated $c$-Means and Fuzzy $c$-Means Clustering Algorithms for Horizontally and Vertically Partitioned Data
Leveraging Data Science to Combat COVID-19: A Comprehensive Review
CapsCovNet: A Modified Capsule Network to Diagnose COVID-19 From Multimodal Medical Imaging
Multiattribute Deep CNN-Based Approach for Detecting Medicinal Plants and Their Use for Skin Diseases
Resource-Efficient CNN Based Atrial Fibrillation Detection Using P-Wave and RR Interval Features for Edge-AI Cardiac Health Monitoring Devices
Long Short-Term Memory Auto-Encoder-Based Position Prediction Model for Fixed-Wing UAV During Communication Failure
Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers
A Self-Aware Digital Memory Framework Powered by Artificial Intelligence
Boundary-Aware Network With Topological Consistency Constraint for Optic Chiasm Segmentation
Event-Triggered Fixed-Time Adaptive Fuzzy Control for Nontriangular Nonlinear Systems With Unknown Control Directions
Distributed Optimal Formation Control of Multiple Unmanned Surface Vehicles With Stackelberg Differential Graphical Game
Why Should I Trust Your Explanation? An Evaluation Approach for XAI Methods Applied to Predictive Process Monitoring Results
meMIA: Multilevel Ensemble Membership Inference Attack
Self-Adaptive Imbalanced Domain Adaptation With Deep Sparse Autoencoder
A Locality-Sensitive-Hashing-Based Collaborative Recommendation Method for Responsible AI-Driven Recommender Systems
UPR-BP: Unsupervised Photoplethysmography Representation Learning for Noninvasive Blood Pressure Estimation
Distributed Semisupervised Partial Label Learning Over Networks
Gaussian Switch Sampling: A Second-Order Approach to Active Learning
Efficient Temporal Piecewise-Linear Numeric Planning With Lazy Consistency Checking
Exploring Machine Learning for Semiconductor Process Optimization: A Systematic Review
IBAttack: Being Cautious About Data Labels
A Survey on Multiview Clustering
Generative Augmentation-Driven Prediction of Diverse Visual Scanpaths in Images
Deep Q-Learning: Theoretical Insights From an Asymptotic Analysis
Neurosymbolic Reinforcement Learning and Planning: A Survey
CNN-Based Metrics for Performance Evaluation of Generative Adversarial Networks
An Improved and Explainable Electricity Price Forecasting Model via SHAP-Based Error Compensation Approach
Robust Control of Uncertain Quantum Systems Based on Physics-Informed Neural Networks and Sampling Learning
WindGMMN: Scenario Forecasting for Wind Power Using Generative Moment Matching Networks
Teacher-Student Uncertainty Autoencoder for the Process-Relevant and Quality-Relevant Fault Detection in the Industrial Process
A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices
Large Linguistic Models: Investigating LLMs' Metalinguistic Abilities
ClusVPR: Efficient Visual Place Recognition With Clustering-Based Weighted Transformer
A Perceptual Computing Approach for Learning Interpretable Unsupervised Fuzzy Scoring Systems
A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs
Generation With Nuanced Changes: Continuous Image-to-Image Translation With Adversarial Preferences
Playing Against Deep-Neural-Network-Based Object Detectors: A Novel Bidirectional Adversarial Attack Approach
Fine-Grained Early Frequency Attention for Deep Speaker Representation Learning
AdaCoRCE Loss for Knowledge Distillation: A Novel Approach With Network Fission and Co-Teaching Technique
Under the Influence: A Survey of Large Language Models in Fake News Detection
Self-Bidirectional Decoupled Distillation for Time Series Classification
Activation Control of Vision Models for Sustainable AI Systems
Efficient Structure Slimming for Spiking Neural Networks
Online Reinforcement Learning in Periodic MDP
KnowZRel: Common Sense Knowledge-Based Zero-Shot Relationship Retrieval for Generalized Scene Graph Generation
Federated Learning for Distribution Skewed Data Using Sample Weights
Learning-Driven Dynamic Multimodal Optimization Algorithm for Real-Time Traceability of Water Pollution
Analyzing Hierarchical Relationships and Quality of Embedding in Latent Space
Cost-Efficient Feature Selection for Horizontal Federated Learning
Ignorance is Bliss: Exploring Defenses Against Invariance-Based Attacks on Neural Machine Translation Systems
Facilitating Sim-to-Real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot Manipulation
Quantum Face Recognition With Multigate Quantum Convolutional Neural Network
Graph Representation Learning Meets Computer Vision: A Survey
Deep Learning-Based Selective Feature Fusion for Litchi Fruit Detection Using Multimodal UAV Sensor Measurements
Improved Supervised Machine Learning for Predicting Auto Insurance Purchase Patterns
Large-Scale Heliostat Field Optimization for Solar Power Tower System Using Matrix-Based Differential Evolution
Video-Based Human-Posture Monitoring From RGB-D Cameras
Kolmogorov-Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits
Privacy-Preserving Multiview Matrix Factorization for Recommender Systems
FLyer: Federated Learning-Based Crop Yield Prediction for Agriculture 5.0
Quantum-Assisted Activation for Supervised Learning in Healthcare-Based Intrusion Detection Systems
Ensuring Ethical Standards in the Development of Autonomous and Intelligent Systems
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task
Node-Level Graph Regression With Deep Gaussian Process Models
Ultrasound COVID-19 Classification Based on the Novel Module-Based Dual-Path Network
Adaptive Neural Network Finite-Time Event Triggered Intelligent Control for Stochastic Nonlinear Systems With Time-Varying Constraints
A Long Short-Term Memory-Based Interconnected Architecture for Classification of Grasp Types Using Surface-Electromyography Signals
Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood
Scalable Learning for Multiagent Route Planning: Adapting to Diverse Task Scales
Surrogate-Assisted Multiobjective Neural Architecture Search for Real-Time Semantic Segmentation
Energy-Efficient Hybrid Impulsive Model for Joint Classification and Segmentation on CT Images
Intrusion Detection Approach for Industrial Internet of Things Traffic Using Deep Recurrent Reinforcement Learning Assisted Federated Learning
Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network
Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey
A Novel Privacy-Enhancing Framework for Low-Dose CT Denoising
Disentangled Cross-modal Fusion for Event-Guided Image Super-resolution
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation
Deep Feature Representation Based Imitation Learning for Autonomous Helicopter Aerobatics
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks
Knowledge Probabilization in Ensemble Distillation: Improving Accuracy and Uncertainty Quantification for Object Detectors
Patch-to-Sample Reasoning for Cervical Cancer Screening of Whole Slide Image
Expert Knowledge Driven Human-AI Collaboration for Medical Imaging: A Study on Epileptic Seizure Onset Zone Identification
A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals
Deep Neural Network Approach in EMG-Based Force Estimation for Human-Robot Interaction
Ethical Aspects of ChatGPT in Software Engineering Research
CauseTerML: Causal Learning via Term Mining for Assessing Review Discrepancies
A Federated Dictionary Learning Method for Process Monitoring With Industrial Applications
Editorial: Artificial Intelligence: A New Transactions
Development of Character Recognition Model Inspired by Visual Explanations
Domain Adaptation Without Source Data
Siamese Cross-Domain Tracker Design for Seamless Tracking of Targets in RGB and Thermal Videos
Federated Multitask Learning for HyperFace
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks
Clustering by the Probability Distributions From Extreme Value Theory
Encoder-Decoder Calibration for Multimodal Machine Translation
Optimization for Interval Type-2 Polynomial Fuzzy Systems: A Deep Reinforcement Learning Approach
Generalized Maximum Entropy Reinforcement Learning via Reward Shaping
Robotic Perception of Transparent Objects: A Review
Federated Multiarmed Bandits Under Byzantine Attacks
3-D Dynamic Multitarget Detection Algorithm Based on Cross-View Feature Fusion
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data
Selective Depth Attention Networks for Adaptive Multiscale Feature Representation
KAM-Net: Keypoint-Aware and Keypoint-Matching Network for Vehicle Detection From 2-D Point Cloud
Exploring Weight Distributions and Dependence in Neural Networks With $\alpha$-Stable Distributions
FedECE: Federated Estimation of Causal Effect Based on Causal Graphical Modeling
Semisupervised Breast MRI Density Segmentation Integrating Fine and Rough Annotations
Lab to Multiscene Generalization for Non-Line-of-Sight Identification With Small-Scale Datasets
A Hand Gesture-Operated System for Rehabilitation Using an End-to-End Detection Framework
Compact Multitasking Multichromosome Genetic Algorithm for Heuristic Selection in Ontology Matching
A Deep Learning-Based Cyber Intrusion Detection and Mitigation System for Smart Grids
A Deterministic-Probabilistic Approach to Neural Network Pruning
Enhancement of Robot Dynamics Learning by Integrating Analytical Models into Deep Neural Networks: A Data Fusion Perspective
Deep Multiscale Multi-Instance Networks With Regional Scoring for Mammogram Classification
Blind Image Despeckling Using a Multiscale Attention-Guided Neural Network
Mathematical Modeling and Optimal Stopping Theory-Based Extra Layers for 30-Day Rate Risk Prediction of Readmission to Intensive Care Units
A Hybrid Relational Approach Toward Stock Price Prediction and Profitability
Datum-Wise Inference in Structured Environments
Simultaneous Learning and Planning Within Sensing Range: An Approach for Local Path Planning
A Radial Basis Function-Based Graph Attention Network With Squeeze Loss Optimization for Link Prediction
Model-Based Online Adaptive Inverse Noncooperative Linear-Quadratic Differential Games via Finite-Time Concurrent Learning
Evolutionary Neural Architecture Search for Automatic Esophageal Lesion Identification and Segmentation
Observer-Based Adaptive Fuzzy Control for Singular Systems with Nonlinear Perturbation and Actuator Saturation