IEEE Intelligent Systems

Article	Citations
SecureBoost: A Lossless Federated Learning Framework	272
Secure Federated Matrix Factorization	191
From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V	116
Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci	110
Parallel Intelligence in Metaverses: Welcome to Hanoi!	104
Fairness in Deep Learning: A Computational Perspective	104
TSNet: Three-Stream Self-Attention Network for RGB-D Indoor Semantic Segmentation	94
Sentiment Analysis and Topic Recognition in Video Transcriptions	81
FedRec: Federated Recommendation With Explicit Feedback	81
An Emotional Recommender System for Music	70
Metaverses and DeMetaverses: From Digital Twins in CPS to Parallel Intelligence in CPSS	63
Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT	58
Combining Sentiment Lexicons and Content-Based Features for Depression Detection	42
The DAO to DeSci: AI for Free, Fair, and Responsibility Sensitive Sciences	40
Robust Federated Learning With Noisy Labels	38
Adaptive Modality Distillation for Separable Multimodal Sentiment Analysis	33
Cognitive Digital Twins for Smart Manufacturing	33
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning	32
A New Age of AI: Features and Futures	31
OntoSenticNet 2: Enhancing Reasoning Within Sentiment Analysis	30
SEPN: A Sequential Engagement Based Academic Performance Prediction Model	29
A Single-Stream Segmentation and Depth Prediction CNN for Autonomous Driving	28
Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation	25
Deep Learning and Smart Contract-Assisted Secure Data Sharing for IoT-Based Intelligent Agriculture	23
Seven Pillars for the Future of Artificial Intelligence	23

Rethinking Homework in the Age of Artificial Intelligence	23
Concept Representation by Learning Explicit and Implicit Concept Couplings	23
Applying Metalevel Argumentation Frameworks to Support Medical Decision Making	20
Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse	19
A Stable Deep Reinforcement Learning Framework for Recommendation	19
Beyond i.i.d.: Non-IID Thinking, Informatics, and Learning	19
Parallel Population and Parallel Human—A Cyber-Physical Social Approach	18
Neurosymbolic Artificial Intelligence (Why, What, and How)	17
Few-Shot Object Detection Based on Self-Knowledge Distillation	17
Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities	16
AI in Combating the COVID-19 Pandemic	16
MDA: Multimodal Data Augmentation Framework for Boosting Performance on Sentiment/Emotion Classification Tasks	15
An Evaluation of Four Resampling Methods Used in Machine Learning Classification	14
Multiscale 3D-Shift Graph Convolution Network for Emotion Recognition From Human Actions	14
GC-Net: Gridding and Clustering for Traffic Object Detection With Roadside LiDAR	13
Parallel Intelligence in CPSSs: Being, Becoming, and Believing	13
Multimodal Fusion-Based Image Hiding Algorithm for Secure Healthcare System	12
Detecting Fake News With Weak Social Supervision	12
Intelligent Rack-Level Cooling Management in Data Centers With Active Ventilation Tiles: A Deep Reinforcement Learning Approach	12
Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks	12
Location-Centric Social Media Analytics: Challenges and Opportunities for Smart Cities	12
Toward Aspect-Level Sentiment Modification Without Parallel Data	12
Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks	12
Stance Analysis of Twitter Users: The Case of the Vaccination Topic in Italy	11
Neural Graph for Personalized Tag Recommendation	11
Data-Driven Deepfake Forensics Model Based on Large-Scale Frequency and Noise Features	11
GSMNet: Global Semantic Memory Network for Aspect-Level Sentiment Classification	11
Using Argumentation to Obtain and Explain Results in a Decision Support System	11
Image Polarity Detection on Resource-Constrained Devices	11
Parallel Urban Rail Transit Stations for Passenger Emergency Management	10
Smart Decentralized Autonomous Organizations and Operations for Smart Societies: Human–Autonomous Organizations for Industry 5.0 and Society 5.0	10
A New SVDD Approach to Reliable and Explainable AI	10
Trustworthy Machine Learning	10
A Basic Framework for Explanations in Argumentation	10
Hiding in the Crowd: Federated Data Augmentation for On-Device Learning	10
MetaSensing in Metaverses: See There, Be There, and Know There	10
Differentially Private Collaborative Coupling Learning for Recommender Systems	10
Digital Evidence Object Model for Situation Awareness and Decision Making in Digital Forensics Investigation	10
An Optimized Quantitative Argumentation Debate Model for Fraud Detection in E-Commerce Transactions	9
Simulation Driven AI: From Artificial to Actual and Vice Versa	9
Data-Driven Predictive Maintenance	9
FD-LSTM: A Fuzzy LSTM Model for Chaotic Time-Series Prediction	9
Federated Topic Discovery: A Semantic Consistent Approach	9
Isolation Forest Based Anomaly Detection Framework on Non-IID Data	8
Contribution- and Participation-Based Federated Learning on Non-IID Data	8
Sentiment Classification of Cryptocurrency-Related Social Media Posts	8
Artificial Intelligence for Natural Disaster Management	7
Exploring Customer Price Preference and Product Profit Role in Recommender Systems	7
Anomalous Event Sequence Detection	7
Challenges and Opportunities of Applying Reinforcement Learning to Autonomous Racing	7

Incremental Skeptical Preferred Acceptance in Dynamic Argumentation Frameworks	7
Transformer-Based Models for Automatic Identification of Argument Relations: A Cross-Domain Evaluation	7
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks	7
The AI Chip Race	7
Complexity of Nonempty Existence Problems in Incomplete Argumentation Frameworks	6
Can ChatGPT’s Responses Boost Traditional Natural Language Processing?	6
A Localized Learning Approach Applied to Human Activity Recognition	6
From Stochastic Parrots to Intelligent Assistants—The Secrets of Data and Human Interventions	6
Learning Parameters for a Generalized Vidale-Wolfe Response Model With Flexible Ad Elasticity and Word-of-Mouth	6
AI Science and Engineering: A New Field	6
Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible Artificial Intelligence Engineering Approach	5
CRTL: Context Restoration Transfer Learning for Cross-Domain Recommendations	5
Hierarchical Multihop Reasoning on Knowledge Graphs	5
Knowledge-Based Entity Prediction for Improved Machine Perception in Autonomous Systems	5
Learning Complex Couplings and Interactions	5
Affect Detection From Wearables in the “Real” Wild: Fact, Fantasy, or Somewhere In between?	5
Deep Fusion for Travel Time Estimation Based on Road Network Topology	5
Robust Maximum Mixture Correntropy Criterion Based One-Class Classification Algorithm	5
VGAN: Generalizing MSE GAN and WGAN-GP for Robot Fault Diagnosis	5
Whom to Trust, How and Why: Untangling Artificial Intelligence Ethics Principles, Trustworthiness, and Trust	5
One Shot Model for COVID-19 Classification and Lesions Segmentation in Chest CT Scans Using Long Short-Term Memory Network With Attention Mechanism	5
Extreme Event Discovery With Self-Attention for PM2.5 Anomaly Prediction	4
Xsickness in Intelligent Mobile Spaces and Metaverses	4
Computing Abductive Explanations	4
Recognition Model of Sideslip of Surrounding Vehicles Based on Perception Information of Driverless Vehicle	4
Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams	4
Fuzzy Graph and Collective Multiagent Reinforcement Learning for Traffic Signals Control	4
Welcome to Big AI	4
Incremental Computation in Dynamic Argumentation Frameworks	4
An Efficient Solution to Detect Common Topologies in Money Launderings Based on Coupling and Connection	4
MFGCN: A Multimodal Fusion Graph Convolutional Network for Online Car-Hailing Demand Prediction	4
Robust Precipitation Bias Correction Through an Ordinal Distribution Autoencoder	4
Artificial Intelligence Ethics and Trust: From Principles to Practice	4
This! Identifying New Sentiment Slang Through Orthographic Pleonasm Online: Yasss Slay Gorg Queen Ilysm	4
Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing Flows	4
Answer Keyword Generation for Community Question Answering by Multiaspect Gamma–Poisson Matrix Completion	4
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval	4
Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback	4
Federated Digital Gateway: Methodologies, Tools, and Applications	4
A Type-2 Fuzzy Time Series Model for Pattern Similarity Analysis: A Case Study on Air Quality Forecasting	4
Recurrent Neural Networks for Oil Well Event Prediction	4
Argumentation-Based Health Information Systems: A Design Methodology	4
Spatial Anomaly Detection in Hyperspectral Imaging Using Optical Neural Networks	4
Heterogeneous Federated Meta-Learning With Mutually Constrained Propagation	4
Bayesian Optimization for Expensive Smooth-Varying Functions	4
General Learning Modeling for AUV Position Tracking	4
Attention-Enhanced Gradual Machine Learning for Entity Resolution	3
New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training	3
Sensitivity of Logic Learning Machine for Reliability in Safety-Critical Systems	3
Expert–Machine Collaborative Decision Making: We Need Healthy Competition	3
The DRk-M for Clustering Categorical Datasets With Uncertainty	3
An Operational Framework for Guiding Human Evaluation in Explainable and Trustworthy Artificial Intelligence	3
How to Optimize an Academic Team When the Outlier Member is Leaving?	3
Fast Approximate Multioutput Gaussian Processes	3
CoTrRank: Trust Ranking on Twitter	3
ECCVideo: A Scalable Edge Cloud Collaborative Video Analysis System	3
Integrating Graphs With Large Language Models: Methods and Prospects	3
A Semantic Web Approach to Fault Tolerant Autonomous Manufacturing	3
DCAT: Combining Multisemantic Dual-Channel Attention Fusion for Text Classification	3
Intelligent Pandemic Surveillance via Privacy-Preserving Crowdsensing	3
DualNER: A Trigger-Based Dual Learning Framework for Low-Resource Named Entity Recognition	3
Deep Learning Applications	3
A Declarative Approach to New Product Development Project Prototyping	3
Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action	3
A New Language and Input–Output Hidden Markov Model for Automated Audit Inquiry	3
Can Generative AI Models Extract Deeper Sentiments as Compared to Traditional Deep Learning Algorithms?	3
StereoPairFree: Self-Constructed Stereo Correspondence Network From Natural Images	3
Understanding Mechanism Design—Part 2 of 3: The Vickrey-Clarke-Groves Mechanism	3
Model-Driven Development of Service Robot Applications Dealing With Uncertain Human Behavior	2
Tile-Weighted Rate-Distortion Optimized Packet Scheduling for 360° Virtual-Reality Video Streaming	2
Adversarial Path Sampling for Recommender Systems	2
Toward Social Situation Awareness in Support Agents	2
From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis	2
The SRVM: A Similarity-Based Relevance Vector Machine for Remaining Useful Lifetime Prediction in the Industrial Internet of Things	2
Fact Investigation and Proof Standards in Legal Argumentation	2
Enhancing the Quality in Crowdsourcing E-Markets Through Team Formation Games	2
Tensor Factorization-Based Prediction With an Application to Estimate the Risk of Chronic Diseases	2
Automatic Data Cleaning System for Large-Scale Location Image Databases Using a Multilevel Extractor and Multiresolution Dissimilarity Calculation	2
CACLA-Based Local Path Planner for Drones Navigating Unknown Indoor Corridors	2
The Rise and Design of Enterprise Large Language Models	2

Saliency Detection With a Three-Stage Hierarchical Network	2
Reflecting on Algorithmic Bias With Design Fiction: The MiniCoDe Workshops	2
Recognizing Slanted Deck Scenes by Non-Manhattan Spatial Right Angle Projection	2
Convolutional Neural Network-Assisted Adaptive Sampling for Sparse Feature Detection in Image and Video Data	2
An Architecture for Argumentation-Based Epistemic Planning: A First Approach With Contextual Preferences	2
Understanding Mechanism Design—Part 3 of 3: Mechanism Design in the Real World: The VCG Mechanism	2
HetGRec: Heterogeneous Graph Attention Network for Group Recommendation	2
Diagnosing Software System Exploits	2
Mobile Robot 6-D Localization Using 3-D Gaussian Mixture Maps in GPS-Denied Environments	2
Generating Emotion Descriptions for Fine Art Paintings Via Multiple Painting Representations	2
Learning Embeddings Based on Global Structural Similarity in Heterogeneous Networks	2
Predictive Model Generation for Load Forecasting in District Heating Networks	1
Responsible AI: An Urgent Mandate	1
COVID-19 Sentiment Analysis Based on Tweets	1
Adding an Inception Network to Neural Network Open Information Extraction	1
Child and Youth Affective Computing—Challenge Accepted	1
Guest Editorial Argumentation-Based Reasoning	1
Electroencephalogram Emotion Recognition Based on Manifold Geomorphological Features in Riemannian Space	1
Entity Matters in News: An Association Network-Enhanced Method for News Reprint Prediction	1
Mining the User’s Personality With an Attention-Based Label Prompt Method	1
GLARE-SSCPM: an Intelligent Systemto Support the Treatment of Comorbid Patients	1
A Fault Diagnosis of Rotating Machinery Based on a Mutual Dimensionless Index and a Convolution Neural Network	1
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection	1
Non-IID Learning	1
Why Do We Need Neurosymbolic AI to Model Pragmatic Analogies?	1
Large Language Models and Applications: The Rebirth of Enterprise Knowledge Management and the Rise of Prompt Libraries	1
The Secrets of Data Science Deployments	1
Point Cloud Registration Using Multiattention Mechanism and Deep Hybrid Features	1
A Multiview Text Imagination Network Based on Latent Alignment for Image-Text Matching	1
Outlier Detection for Foot Complaint Diagnosis: Modeling Confounding Factors Using Metric Learning	1
Embracing LLMs for Point-of-Interest Recommendations	1
Exploring alterations of brain networks of AD patients using WTC method	1
Non-IID Federated Learning	1
Grounding From an AI and Cognitive Science Lens	1
Multi-Class Unlearning for Image Classification via Weight Filtering	1
CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs	1
CryptoCliqIn: Graph-Theoretic Cryptography Using Clique Injection	1
Approximating Region Boundaries Based on Qualitative and Quantitative Information	1
Integrated Circuit Mask–Generative Adversarial Network for Circuit Annotation With Targeted Data Augmentation	1
A Comparison of Numeric Assessments of Ideas From Two Large Language Models: With Implications for Validating and Choosing LLMs	1
Overcoming the Challenges of Long-Tail Distribution in Nighttime Vehicle Detection	1
Deep Learning Architectures for Approximating Goldbach’s Function in New Regions	1
Efficient Spiking Variational Graph Autoencoders for Unsupervised Graph Representation Learning Tasks	1
Improved Ensemble Classification for Evolving Data Streams	1
The Importance of an Ethical Framework for Trust Calibration in AI	1
Unjustified Sample Sizes and Generalizations in Explainable Artificial Intelligence Research: Principles for More Inclusive User Studies	1
Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem	1
If Our Aim Is to Build Morality Into an Artificial Agent, How Might We Begin to Go About Doing So?	1
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Model Predictive Control-Based Value Estimation for Efficient Reinforcement Learning	0
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