FLAIRS-39: THE 39TH INTERNATIONAL FLORIDA AI RESEARCH SOCIETY (FLAIRS) CONFERENCE

This page contains an index consisting of author-provided keywords.

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3D U-Net	Skull-Conditioned Facial Soft-Tissue Reconstruction Using Anatomy-First Deep Volumetric Inference UCMUNET Liver: Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients
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Abstention	Evidence-Grounded Verification of Oncology Clinical Notes Using Structured EHR Data
Activation Engineering	Domain-Specificity of Refusal Representations in Large Language Models
active learning	Fairness Implications of Data Minimization in Deep Collaborative Filtering
ADHD	Advancing Fairness and Explainability in AI for Autism Diagnosis
Adversarial Attack	HARD-Xception: A Hybrid Adversarially Robust Deepfake Detection Framework Using Frequency Decomposition and Feature Consistency Learning
Adversarial attacks	How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
Adversarial patches	How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
Adversarial Prompting	Evaluating Mistral 7B Instruct Jailbreak Vulnerabilities
Adversarial Training	HARD-Xception: A Hybrid Adversarially Robust Deepfake Detection Framework Using Frequency Decomposition and Feature Consistency Learning
Aerial Traffic Monitoring	Beyond Accuracy: Performance and Behavioral Evaluation of Multimodal AI for Suspicious Aerial Traffic Monitoring
Affective Computing	The Role of Emotions: Investigating Communicative Roles in Models and Data for Emotion Recognition
Affinity fusion	S3FC: Scalable Sparse Spectral Fusion Clustering for Multi-Manifold Data
Age estimation	Botox Detection and Face Analytics Using Deep Learning
Agentic	ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring Generation and Validation of Configuration Management Code for Cyber Range Environments Using Large Language Models
Agentic AI	An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models Emerging AI Trends: A 2025-2026 Synthesis
Agentic Context Engineering (ACE)	An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models
Agentic Frameworks	Knowledge-Augmented Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities
Agentic RAG	An Iterative Self Correcting Agentic RAG System An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models
Agentic reasoning	Reliability Beyond Accuracy: Error Analysis of Agentic Tool-Augmented Reasoning in LLMs on CURE-Bench
AI	Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant JSON-LD 1.2 and Beyond: Extensions for Machine Learning Data Exchange TOML: Transistor Operations for Machine Learning - A Physics-Grounded Energy Efficiency Framework
AI Accountability Framework	Document, Verify, Explain: A Transparent Accountability Framework for Equitable Generative AI Use in Computer Science Education
AI cybersecurity	Emerging AI Trends: A 2025-2026 Synthesis
ai education	ASP∀: An Open Educational Resource for Answer Set Programming.
AI Fairness	InsightBoard: An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard
AI for Good	SAGE 0.2: LLMs for DOM Informed Internet Guidance
AI governance and regulation	Emerging AI Trends: A 2025-2026 Synthesis
AI in education	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning
AI infrastructure	Emerging AI Trends: A 2025-2026 Synthesis
AI Metrics	A Landscape of Trustworthy AI Frameworks and Metrics: Mapping to the NIST AI Risk Management Framework
AI Readiness	Metadata Engineering: Harmonizing CT Descriptors in Enterprise Imaging Systems
AI Safety and Alignment	Domain-Specificity of Refusal Representations in Large Language Models
AI-Assisted Grading	A Preliminary Empirical Study of Large Language Models for Grading Debugging Problems in Programming Education
AI-Associated Language	Automated Identification of Lexical Misalignment in Preference-Stage Learning across Large Language Model Families
AI-Enabled Systems	Scalable Clinical Informatics Frameworks for AI-Enabled Assistive Systems in Mental Health Care
AI-Misinformation	Blockchain as a Tool for Ensuring Authenticity: Combating Fake AI-Generated Content and Misinformation
Anatomy-first	Skull-Conditioned Facial Soft-Tissue Reconstruction Using Anatomy-First Deep Volumetric Inference
answer set programming	ASP∀: An Open Educational Resource for Answer Set Programming.
Antibiotic Resistance	Fragment-Based AI for Antibiotic Discovery
Antibiotics	Fragment-Based AI for Antibiotic Discovery
Applied Natural Language Processing	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
Approximate Decryption	Approximate Decryption in Homomorphic Division and Privacy impact
Architectural Operationalization	Operationalization-Aware Modeling of Software Non-Functional Requirement Relationships: A Context-Aware Approach
Artificial Intelligence	A Scalable Approach to Solving Simulation-Based Network Security Games Semantic Length Limits in LLM Based Steganography Scalable GNN Training for Track Finding
Artificial Intelligence (AI)	AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats
Artificial Intelligence in Education	A Preliminary Empirical Study of Large Language Models for Grading Debugging Problems in Programming Education
Artificial moral agency	Explaining Why Instrumental Rationality is Insufficient for Ethical Behavior
asp	ASP∀: An Open Educational Resource for Answer Set Programming.
ATP	ShZZaM: An LLM+ATP Natural Language to Logic Translator
Attack Target	Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies
attacker defender game	Improving Resilience Against Cyber-attacks via Reward-Shaped Reinforcement Learning in a Network Defense Game
Attention mechanism	Dense Attention-Enhanced U-Net for Complex Image Segmentation Tasks
Attention-based feature	Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images
Augmented Cognition	SAGE 0.2: LLMs for DOM Informed Internet Guidance
Autism	Advancing Fairness and Explainability in AI for Autism Diagnosis
Automated Evaluation	Addressing a bias in Evaluating of Student Explanations of Worked Programming Examples
Automated Misconception Detection	RAMP: Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models
automated planning	On Using Domain Control Knowledge in Planning: Position Paper
automated protein function prediction	FuseGO: Evaluating Embedding Fusion Across Species with Unequal Encoder Capacity for Automated Protein Function Prediction
Automated Theorem Proving	Interactive Solution Viewers for Automated Theorem Proving
Autonomous Agents	BDI Agent-Based Access Control Reasoning for Multimodal Retrieval-Augmented Generation
Autonomous behavior	Explaining Why Instrumental Rationality is Insufficient for Ethical Behavior
autonomous vehicles	Can LLMs Classify Vehicular Basic Safety Messages Anomalies?
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BART	Systematic Analysis of Tokenization Properties in Low-Resource Polysynthetic NMT
basic safety messages	Can LLMs Classify Vehicular Basic Safety Messages Anomalies?
Behavioral Analysis	AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats
Behavioral Evaluation	Beyond Accuracy: Performance and Behavioral Evaluation of Multimodal AI for Suspicious Aerial Traffic Monitoring
Behavioral Kalman Filter	Bridging Expectation Signals: LLM-Based Experiments and a Behavioral Kalman Filter Framework
Belief Updating	Winning Isn’t Reasoning: Evaluating Iterative Reasoning Updating in Language Models
Benchmark Datasets	CultIcon-Bench: A Pilot Benchmark for Cultural Interpretation of Visual Icon
Benchmarking	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
BERT	RAMP: Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool Fine-Grained Sentence-Level Propaganda Detection in News Articles
Biases	Addressing a bias in Evaluating of Student Explanations of Worked Programming Examples
Bifurcated Learning	When One Model Is Not Enough: Twin Training for Prioritized Decisions
Biologically Inspired Computing	Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Reported Rankings and Scoring
Biomedical literature mining	OncoMark: A Two-Stage Gated Framework for Cancer Hallmark Detection from Biomedical Text
Biomedical natural language processing	OncoMark: A Two-Stage Gated Framework for Cancer Hallmark Detection from Biomedical Text
Biomedical signal processing	A Comparative Study of Deep Learning Architectures for Multi-Label Electrocardiogram Classification
Black-Box Evaluation	Evaluating Mistral 7B Instruct Jailbreak Vulnerabilities
Blockchain	Blockchain as a Tool for Ensuring Authenticity: Combating Fake AI-Generated Content and Misinformation
brain-computer interfaces	A Unified Atlas-Aware Framework for Interpretable Spatio–Temporal EEG Source Imaging
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cag	Improving RAG/CAG Based Additional Context Retrieval from Datasets implementations via Pokemon-themed AI Chatbot
Cancer hallmarks	OncoMark: A Two-Stage Gated Framework for Cancer Hallmark Detection from Biomedical Text
Cancer phenotyping	Evidence-Grounded Verification of Oncology Clinical Notes Using Structured EHR Data
Causal Extraction	Automatic Root-Cause Chain Extraction from Technician Maintenance Notes Using NLP and LLM Reasoning
Causal Inference	Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models
chat	Using a chat interface for a data-driven course planning wizard
Cherokee	Systematic Analysis of Tokenization Properties in Low-Resource Polysynthetic NMT
Chest X-ray classification	Multimodal Chest Pathology Classification with Language and Image Transformers
CheXpert Plus	Multimodal Chest Pathology Classification with Language and Image Transformers
choice prediction	A Multi Attribute Extension of MDFT
Citizen Science	AstroAid: Personalized Target Down-Selection for Amateur Astronomers
Class Imbalance	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
Classification	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers An approach to Dimensionality Reduction based on Constrastive Learning: a Preliminary Analysis
climate change analysis	Satellite Image Analysis Using Modified EfficientNet
clingo	ASP∀: An Open Educational Resource for Answer Set Programming.
Clinical decision support	Reliability Beyond Accuracy: Error Analysis of Agentic Tool-Augmented Reasoning in LLMs on CURE-Bench
Clinical Informatics	Scalable Clinical Informatics Frameworks for AI-Enabled Assistive Systems in Mental Health Care
Clinical Narratives	Monitoring therapeutic plans and risk signals from clinical narratives in mental health using natural language processing
Clinical NLP	Evidence-Grounded Verification of Oncology Clinical Notes Using Structured EHR Data
Clinical photographs	A Deep Learning Framework for Automatic Multi-View Facial–Nasal Landmark Detection in Clinical Photographs
Clinician burnout	A Narrative-Driven Computational Framework for Clinician Burnout Surveillance
Clustering Algorithms	LLM-Augmented Clustering for Customer Support Ticket Triage
Code Comprehension	Addressing a bias in Evaluating of Student Explanations of Worked Programming Examples A Study on How Well LLMs Can Assist Novices with Code Comprehension Tasks Evaluating Logical Structure in Computer Programs Using LLMs
Code Generation	Do Programmers and AI See the Same Problem? Quantifying Cognitive Misalignment in Code Generation
cognitive assessment	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Cognitive load	Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning
Cognitive science	Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning
cognitive value recontextualization	From Recommendation to Reflection: Measuring Moral Value Stability in Human–AI Collaboration Using Cognitive Value Recontextualization
Comparative evaluation	A Comparative Evaluation of Document Extraction Tools for Construction Specification Parsing
completeness	On Using Domain Control Knowledge in Planning: Position Paper
complex word embeddings	Directional Relations in Complex Word Embeddings
Complexity of SQL Codes	Impact of AI-Generated Queries on SQL Code Complexity
Computational thinking	Computational Models of Player Strategy in Roguelike Games
Computer Vision Security	How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
conditional	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
conditional belief base	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
Conditional Logic	Dynamic Conditional Logic: A Complete Axiomatization of Update, Retraction, and Minimal Change
Conditional Preference Network	Learning General CP-nets Using Simulated Annealing
Confidence Calibration	Beyond Accuracy: Performance and Behavioral Evaluation of Multimodal AI for Suspicious Aerial Traffic Monitoring
configuration management	Generation and Validation of Configuration Management Code for Cyber Range Environments Using Large Language Models
connected vehicles	Can LLMs Classify Vehicular Basic Safety Messages Anomalies?
Constraint Propagation	Collaboration on Waltz Labels can Achieve Qualitative Stereo Vision
Constraint Satisfaction	Sudoku Sage: Evaluating Correctness of LLM-Generated Moves as a Constraint Satisfaction Task Winning Isn’t Reasoning: Evaluating Iterative Reasoning Updating in Language Models
Constraint satisfaction problems	Computational Models of Player Strategy in Roguelike Games
Construction Analytics	Scope Aware Contractor Performance Prediction Using Machine Learning and Work Package Vector Similarity Semantic Conversational AI for Construction Cost Analytics
Construction specifications	The Submittals Agent: A Hybrid Workflow for Automating Submittal Extraction from Construction Specifications
Content Provenenance	Blockchain as a Tool for Ensuring Authenticity: Combating Fake AI-Generated Content and Misinformation
Content Safety	Evaluating Mistral 7B Instruct Jailbreak Vulnerabilities
context effects	A Multi Attribute Extension of MDFT
Contextualized Language Models	Operationalization-Aware Modeling of Software Non-Functional Requirement Relationships: A Context-Aware Approach
Continued Fraction Expansion	Approximate Decryption in Homomorphic Division and Privacy impact
Contractor Performance Prediction	Scope Aware Contractor Performance Prediction Using Machine Learning and Work Package Vector Similarity
Contractor Scope-Aware Modeling	Scope Aware Contractor Performance Prediction Using Machine Learning and Work Package Vector Similarity
Contrastive Learning	An approach to Dimensionality Reduction based on Constrastive Learning: a Preliminary Analysis Deep Contrastive Representations for Neural-Congruency Modeling in EEG Studies of Reading Disorders
Conversational Agents	Semantic Conversational AI for Construction Cost Analytics
Cooperative target tracking	When to Measure: A Multi-Agent Reinforcement Learning Approach for Efficient Tracking
Corrective RAG	An Iterative Self Correcting Agentic RAG System
Correctness Evaluation	Sudoku Sage: Evaluating Correctness of LLM-Generated Moves as a Constraint Satisfaction Task
Cost Codes	Semantic Conversational AI for Construction Cost Analytics
Cost-effectiveness analysis	A Comparative Evaluation of Document Extraction Tools for Construction Specification Parsing
course	Using a chat interface for a data-driven course planning wizard
Covert Channels	Semantic Length Limits in LLM Based Steganography
CP-net	Learning General CP-nets Using Simulated Annealing
Crash Narrative Analysis	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
Cross-Cultural Interpretation	CultIcon-Bench: A Pilot Benchmark for Cultural Interpretation of Visual Icon
Cross-Dataset	HARD-Xception: A Hybrid Adversarially Robust Deepfake Detection Framework Using Frequency Decomposition and Feature Consistency Learning
crowdsourcing	Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification
Cryptography	Steganography with Large Language Models: Key Sensitivity Analysis
CSI MasterFormat	The Submittals Agent: A Hybrid Workflow for Automating Submittal Extraction from Construction Specifications
Cultural AI	CultIcon-Bench: A Pilot Benchmark for Cultural Interpretation of Visual Icon
Cultural Commonsense Reasoning	CultIcon-Bench: A Pilot Benchmark for Cultural Interpretation of Visual Icon
Cultural Context Modeling	CultIcon-Bench: A Pilot Benchmark for Cultural Interpretation of Visual Icon
cyber range	Generation and Validation of Configuration Management Code for Cyber Range Environments Using Large Language Models
Cyber Security	Steganography with Large Language Models: Key Sensitivity Analysis
Cybersecurity	Forgetting by Design: Testing the Effectiveness of Machine Unlearning in Right to Be Forgotten Data Deletion A Scalable Approach to Solving Simulation-Based Network Security Games Improving Resilience Against Cyber-attacks via Reward-Shaped Reinforcement Learning in a Network Defense Game AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats
Cybersecurity Vulnerability Characterization	Knowledge-Augmented Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities
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data annotation	Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification
Data exchange	JSON-LD 1.2 and Beyond: Extensions for Machine Learning Data Exchange
data minimization	Fairness Implications of Data Minimization in Deep Collaborative Filtering
Data Visualization	An approach to Dimensionality Reduction based on Constrastive Learning: a Preliminary Analysis
Data-centric auditing	Evidence-Grounded Verification of Oncology Clinical Notes Using Structured EHR Data
Debugging Assessment	A Preliminary Empirical Study of Large Language Models for Grading Debugging Problems in Programming Education
Decentralized decision-making	When to Measure: A Multi-Agent Reinforcement Learning Approach for Efficient Tracking
decision modeling	A Multi Attribute Extension of MDFT
Decision Support Systems	Scope Aware Contractor Performance Prediction Using Machine Learning and Work Package Vector Similarity
decision-support systems	From Recommendation to Reflection: Measuring Moral Value Stability in Human–AI Collaboration Using Cognitive Value Recontextualization
declarative programming	ASP∀: An Open Educational Resource for Answer Set Programming.
Deep learning	Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning Forecasting Geomagnetic Disturbances with Interpretable Deep Learning Multi-Label Heart Disease Classification Using Electrocardiograms and Machine Learning A Deep Learning Framework for Automatic Multi-View Facial–Nasal Landmark Detection in Clinical Photographs Dwell Time Estimation Using Periodic Image Captures and Deep Learning Botox Detection and Face Analytics Using Deep Learning MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats Satellite Image Analysis Using Modified EfficientNet Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning
Deep learning architectures	A Comparative Study of Deep Learning Architectures for Multi-Label Electrocardiogram Classification
DeepDrug	Fragment-Based AI for Antibiotic Discovery
Deepfake Detection	Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images HARD-Xception: A Hybrid Adversarially Robust Deepfake Detection Framework Using Frequency Decomposition and Feature Consistency Learning
Derivations	Interactive Solution Viewers for Automated Theorem Proving
Deterministic parsing	The Submittals Agent: A Hybrid Workflow for Automating Submittal Extraction from Construction Specifications A Comparative Evaluation of Document Extraction Tools for Construction Specification Parsing
DETR	How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
dialogue systems	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Digital Divide	SAGE 0.2: LLMs for DOM Informed Internet Guidance
Dimensionality Reduction	An approach to Dimensionality Reduction based on Constrastive Learning: a Preliminary Analysis
Discourse Analysis	From Tokens to Ties: Network and Discourse Analysis of Web3 Ecosystems
Distributed Training	Scalable GNN Training for Track Finding
distributional semantics	Directional Relations in Complex Word Embeddings
Document AI	A Comparative Evaluation of Document Extraction Tools for Construction Specification Parsing
Domain Adaptation	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
domain control knowledge	On Using Domain Control Knowledge in Planning: Position Paper
domain modeling	The effect of decomposition rule modeling on the efficiency of hierarchical planners
Dwell time estimation	Dwell Time Estimation Using Periodic Image Captures and Deep Learning
Dynamic class-relation modeling	A Relational Model for Fine-Grained Visual Classification
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E-commerce	Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce
Economic and Financial Time Series	Non-Stationary Spectral Decomposition Network for Econometric Time Series Forecasting
Edge Computing	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers TOML: Transistor Operations for Machine Learning - A Physics-Grounded Energy Efficiency Framework
education	ASP∀: An Open Educational Resource for Answer Set Programming. Using a chat interface for a data-driven course planning wizard
Educational AI	Codify: An Intelligent Socratic Tutoring System for Programming Education
Educational Assessment	A Preliminary Empirical Study of Large Language Models for Grading Debugging Problems in Programming Education
EEG	A Unified Atlas-Aware Framework for Interpretable Spatio–Temporal EEG Source Imaging
effective degrees of freedom	Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
efficiency	The effect of decomposition rule modeling on the efficiency of hierarchical planners TOML: Transistor Operations for Machine Learning - A Physics-Grounded Energy Efficiency Framework
EfficientNet	Satellite Image Analysis Using Modified EfficientNet
EHR consistency checking	Evidence-Grounded Verification of Oncology Clinical Notes Using Structured EHR Data
Elastic Net	LLM Pruning with Elastic Net Enhanced Wanda Strategy
Electrocardiogram Analysis	Multi-Label Heart Disease Classification Using Electrocardiograms and Machine Learning
Electroencephalography (EEG)	Deep Contrastive Representations for Neural-Congruency Modeling in EEG Studies of Reading Disorders
Electronics	TOML: Transistor Operations for Machine Learning - A Physics-Grounded Energy Efficiency Framework
Embedding	A Narrative-Driven Computational Framework for Clinician Burnout Surveillance
Emotion Annotation	The Role of Emotions: Investigating Communicative Roles in Models and Data for Emotion Recognition
emotion classification	Do LLMs Outperform Fine-tuned Transformers in Emotion Classification? A Case Study of Llama and RoBERTa on an Emotion Benchmark
Emotion Recognition	The Role of Emotions: Investigating Communicative Roles in Models and Data for Emotion Recognition Do LLMs Outperform Fine-tuned Transformers in Emotion Classification? A Case Study of Llama and RoBERTa on an Emotion Benchmark
encoding comparison	Ghost Agents in SAT-based Models for Multi-Agent Pathfinding
Encrypted Division	Approximate Decryption in Homomorphic Division and Privacy impact
Enhanced U-Net	Dense Attention-Enhanced U-Net for Complex Image Segmentation Tasks
Enterprise PACS Systems	Metadata Engineering: Harmonizing CT Descriptors in Enterprise Imaging Systems
environmental monitoring	Satellite Image Analysis Using Modified EfficientNet
Equitable Computer Science Learning	Document, Verify, Explain: A Transparent Accountability Framework for Equitable Generative AI Use in Computer Science Education
ethical AI	From Recommendation to Reflection: Measuring Moral Value Stability in Human–AI Collaboration Using Cognitive Value Recontextualization
ethical decision making	Training Ethical Language Models via Reinforcement Learning from AI Feedback
EuroSAT	Satellite Image Analysis Using Modified EfficientNet
evaluation	Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Reported Rankings and Scoring The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Evaluation Metrics	Automated Identification of Lexical Misalignment in Preference-Stage Learning across Large Language Model Families
Evasive Techniques	AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats
Expectation Formation	Bridging Expectation Signals: LLM-Based Experiments and a Behavioral Kalman Filter Framework
explainability	Multimodal Machine Learning for Student Retention Prediction: Integrating Temporal, Textual, and Tabular Features
Explainable AI	Automatic Root-Cause Chain Extraction from Technician Maintenance Notes Using NLP and LLM Reasoning Advancing Fairness and Explainability in AI for Autism Diagnosis A Visualization of Explainable Stylometry of Presidential Speech and Writing Explainable Hierarchical Graph Neural Networks for Structured Decision Modeling
explainable artificial intelligence	Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning Forecasting Geomagnetic Disturbances with Interpretable Deep Learning
Explainable Deep Learning	ProtoPVAE: Improving Prototype Consistency and Stability with Regularized Latent Spaces
Explanations	Comparing Explanations of Competing Clinical Classification Algorithms
Eye-tracking	Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning
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Face analytics	Botox Detection and Face Analytics Using Deep Learning
Face modification	Botox Detection and Face Analytics Using Deep Learning
Facial reconstruction	Skull-Conditioned Facial Soft-Tissue Reconstruction Using Anatomy-First Deep Volumetric Inference
Facial–nasal landmarks	A Deep Learning Framework for Automatic Multi-View Facial–Nasal Landmark Detection in Clinical Photographs
fair clustering	A Fairness-Aware Semi-Supervised Clustering Method
fairness	A Seven-Layer Lifecycle Framework for Fair, Robust, and Safe AI: Guidance and a German Credit Case Study Advancing Fairness and Explainability in AI for Autism Diagnosis Botox Detection and Face Analytics Using Deep Learning Fairness Implications of Data Minimization in Deep Collaborative Filtering
Fairness and Bias in AI	CultIcon-Bench: A Pilot Benchmark for Cultural Interpretation of Visual Icon
Faster R-CNN	How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
Feature fusion	Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images Clinical Narratives Matter: Feature-Level Fusion for Improving ICU Length-of-Stay Prediction
few-shot prompting	Do LLMs Outperform Fine-tuned Transformers in Emotion Classification? A Case Study of Llama and RoBERTa on an Emotion Benchmark
Fine-grained visual classification	A Relational Model for Fine-Grained Visual Classification
Forecasting	Robotic Fall Prediction with Spatio-Temporal Processing of Egocentric Vision and Proprioception
Forensic imaging	Skull-Conditioned Facial Soft-Tissue Reconstruction Using Anatomy-First Deep Volumetric Inference
Formal Languages	Evaluating Synthetic Sentence Coherence Using a Large Language Model
Foundation Models	Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce
Fragment-Based Drug Discovery	Fragment-Based AI for Antibiotic Discovery
Frequency feature	Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images
Friend-of-a-friend	A Pseudo-Boolean Formulation for Graph Database Queries
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gama platform	Integrating Large Language Models as Cognitive Agents into the GAMA Platform for Urban Mobility Simulation
Game Theory	A Scalable Approach to Solving Simulation-Based Network Security Games
Game-based learning	Computational Models of Player Strategy in Roguelike Games
Gaussian process surrogate modeling	Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
Gender Bias	Advancing Fairness and Explainability in AI for Autism Diagnosis
General CP-net	Learning General CP-nets Using Simulated Annealing
Generative AI	Codify: An Intelligent Socratic Tutoring System for Programming Education Semantic Conversational AI for Construction Cost Analytics
Generative AI in Education	Evaluating Personalized Content Using Large Language Models Document, Verify, Explain: A Transparent Accountability Framework for Equitable Generative AI Use in Computer Science Education
Generative Artificial Intelligence	Impact of AI-Generated Queries on SQL Code Complexity
Gradient Dominance	When One Model Is Not Enough: Twin Training for Prioritized Decisions
grammar normal forms	The effect of decomposition rule modeling on the efficiency of hierarchical planners
Graph Database	A Pseudo-Boolean Formulation for Graph Database Queries
Graph Neural Networks	Explainable Hierarchical Graph Neural Networks for Structured Decision Modeling Scalable GNN Training for Track Finding A Relational Model for Fine-Grained Visual Classification
Graphical Models	Counting Constraints in POMDPs based on PID Controllers
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Halicin	Fragment-Based AI for Antibiotic Discovery
Healthcare	Comparing Explanations of Competing Clinical Classification Algorithms Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant Clinical Narratives Matter: Feature-Level Fusion for Improving ICU Length-of-Stay Prediction
Healthcare informatics	Reliability Beyond Accuracy: Error Analysis of Agentic Tool-Augmented Reasoning in LLMs on CURE-Bench
Heart Disease Classification	Multi-Label Heart Disease Classification Using Electrocardiograms and Machine Learning
Hierarchical Modeling	Explainable Hierarchical Graph Neural Networks for Structured Decision Modeling
hierarchical planning	The effect of decomposition rule modeling on the efficiency of hierarchical planners
Hierarchy preservation	A Comparative Evaluation of Document Extraction Tools for Construction Specification Parsing
Hilbert–Huang Transform	Non-Stationary Spectral Decomposition Network for Econometric Time Series Forecasting
Homomorphic Encryption	Approximate Decryption in Homomorphic Division and Privacy impact
Human AI Collaboration	Do Programmers and AI See the Same Problem? Quantifying Cognitive Misalignment in Code Generation
human alignment	Investigating Human-Aligned Large Language Model Uncertainty
human machine collaboration	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
human machine teaming	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Human-AI Collaboration	AstroAid: Personalized Target Down-Selection for Amateur Astronomers
Human-Computer Interaction	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning
Human-in-the-Loop	Beyond Accuracy: Performance and Behavioral Evaluation of Multimodal AI for Suspicious Aerial Traffic Monitoring
Human–AI collaboration	From Recommendation to Reflection: Measuring Moral Value Stability in Human–AI Collaboration Using Cognitive Value Recontextualization
Hybrid document intelligence	The Submittals Agent: A Hybrid Workflow for Automating Submittal Extraction from Construction Specifications
hypernymy	Directional Relations in Complex Word Embeddings
Hypertension	Machine Learning for Hypertension Prediction in U.S. University-Aged Students: Insights from NIH All of Us Data
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Iceberg Dynamics	Graph-Based Modeling of Iceberg Dynamics from Synthetic Aperture Radar Imagery
Icon Semantics	CultIcon-Bench: A Pilot Benchmark for Cultural Interpretation of Visual Icon
ICU	A Narrative-Driven Computational Framework for Clinician Burnout Surveillance
ICU patient outcome	Clinical Narratives Matter: Feature-Level Fusion for Improving ICU Length-of-Stay Prediction
image classification	Dwell Time Estimation Using Periodic Image Captures and Deep Learning Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification
Image degradation	Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images
Imaging Informatics	Metadata Engineering: Harmonizing CT Descriptors in Enterprise Imaging Systems
Industrial Applications	Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce
Industrial Knowledge Structures	Automatic Root-Cause Chain Extraction from Technician Maintenance Notes Using NLP and LLM Reasoning
Information Hiding	Semantic Length Limits in LLM Based Steganography
Information Leakage	Approximate Decryption in Homomorphic Division and Privacy impact
Instantaneous Frequency Analysis	Non-Stationary Spectral Decomposition Network for Econometric Time Series Forecasting
Intelligent Tutoring Systems	Codify: An Intelligent Socratic Tutoring System for Programming Education
Interpretations	Interactive Solution Viewers for Automated Theorem Proving
Intrusion Detection	Automated IoT Threat Monitoring & Mitigation using Tiny LLMs
inverse modeling	A Unified Atlas-Aware Framework for Interpretable Spatio–Temporal EEG Source Imaging
IoT	Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant
IoT Security	Automated IoT Threat Monitoring & Mitigation using Tiny LLMs
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Jailbreak Attacks	Evaluating Mistral 7B Instruct Jailbreak Vulnerabilities
Jason Framework	BDI Agent-Based Access Control Reasoning for Multimodal Retrieval-Augmented Generation
JSON-LD	JSON-LD 1.2 and Beyond: Extensions for Machine Learning Data Exchange
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K-Means	A Fairness-Aware Semi-Supervised Clustering Method
KG Evaluation	Probing Knowledge Graph Reliability and Semantic Coherence with Language Models
Knowledge Extraction	BDI Agent-Based Access Control Reasoning for Multimodal Retrieval-Augmented Generation
Knowledge Graphs	Probing Knowledge Graph Reliability and Semantic Coherence with Language Models
knowledge representation	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
Kolmogorov-Arnold Networks	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
L
land cover detection	Satellite Image Analysis Using Modified EfficientNet
Language Model Applications	AstroAid: Personalized Target Down-Selection for Amateur Astronomers
Language Models	Probing Knowledge Graph Reliability and Semantic Coherence with Language Models The Role of Emotions: Investigating Communicative Roles in Models and Data for Emotion Recognition
Language to Logic Translation	Evaluating Synthetic Sentence Coherence Using a Large Language Model
Large Language Model	Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Reported Rankings and Scoring Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool Do Programmers and AI See the Same Problem? Quantifying Cognitive Misalignment in Code Generation Generation and Validation of Configuration Management Code for Cyber Range Environments Using Large Language Models
Large Language Models	LLM Pruning with Elastic Net Enhanced Wanda Strategy RAMP: Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models Steganography with Large Language Models: Key Sensitivity Analysis Addressing a bias in Evaluating of Student Explanations of Worked Programming Examples Impact of AI-Generated Queries on SQL Code Complexity Knowledge-Augmented Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities A Study on How Well LLMs Can Assist Novices with Code Comprehension Tasks Sudoku Sage: Evaluating Correctness of LLM-Generated Moves as a Constraint Satisfaction Task An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation: The Case of Akuapem Twi Integrating Large Language Models as Cognitive Agents into the GAMA Platform for Urban Mobility Simulation Reliability Beyond Accuracy: Error Analysis of Agentic Tool-Augmented Reasoning in LLMs on CURE-Bench Winning Isn’t Reasoning: Evaluating Iterative Reasoning Updating in Language Models Automated Identification of Lexical Misalignment in Preference-Stage Learning across Large Language Model Families Training Ethical Language Models via Reinforcement Learning from AI Feedback Investigating Human-Aligned Large Language Model Uncertainty A Visualization of Explainable Stylometry of Presidential Speech and Writing Multimodal Chest Pathology Classification with Language and Image Transformers Comparative Study of Different Learning Paradigms for Zero-Shot Sentiment Analysis of the Low-Resource African Language Oromo Evaluating Logical Structure in Computer Programs Using LLMs Semantic Length Limits in LLM Based Steganography The Judge Effect in Two-Round Legal Debate on LegalBench Improving LLM Thematic Analysis through Metric-Driven Self-Correction Reward-Guided Fine-Tuning of Language Models with Social Feedback
Large Language Models (LLMs)	ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring A Preliminary Empirical Study of Large Language Models for Grading Debugging Problems in Programming Education
Latent Dynamical Systems	Non-Stationary Spectral Decomposition Network for Econometric Time Series Forecasting
Latent-Space Regularization	ProtoPVAE: Improving Prototype Consistency and Stability with Regularized Latent Spaces
Learning	Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Reported Rankings and Scoring Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning
Learning with Generative AI	A Study on How Well LLMs Can Assist Novices with Code Comprehension Tasks
legal reasoning	The Judge Effect in Two-Round Legal Debate on LegalBench
legalbench	The Judge Effect in Two-Round Legal Debate on LegalBench
Length of stay	Clinical Narratives Matter: Feature-Level Fusion for Improving ICU Length-of-Stay Prediction
lexicographic inference	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
lifecycle framework	A Seven-Layer Lifecycle Framework for Fair, Robust, and Safe AI: Guidance and a German Credit Case Study
Linguistic Features	A Visualization of Explainable Stylometry of Presidential Speech and Writing
Linguistic Steganography	Semantic Length Limits in LLM Based Steganography
Liver Cirrhosis	UCMUNET Liver: Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients
llm	Evaluating Mistral 7B Instruct Jailbreak Vulnerabilities The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents ShZZaM: An LLM+ATP Natural Language to Logic Translator Improving RAG/CAG Based Additional Context Retrieval from Datasets implementations via Pokemon-themed AI Chatbot
LLM Applications	SAGE 0.2: LLMs for DOM Informed Internet Guidance
LLM augmented extraction	A Comparative Evaluation of Document Extraction Tools for Construction Specification Parsing
LLM based router	An Iterative Self Correcting Agentic RAG System
LLM Experiment	Bridging Expectation Signals: LLM-Based Experiments and a Behavioral Kalman Filter Framework
LLM tutors	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning
llm-as-a-judge	The Judge Effect in Two-Round Legal Debate on LegalBench
LLM-driven Personalization	AstroAid: Personalized Target Down-Selection for Amateur Astronomers
LLMs	Codify: An Intelligent Socratic Tutoring System for Programming Education LLM-Augmented Clustering for Customer Support Ticket Triage Do LLMs Outperform Fine-tuned Transformers in Emotion Classification? A Case Study of Llama and RoBERTa on an Emotion Benchmark
Local Search	Learning General CP-nets Using Simulated Annealing
logic programming	ASP∀: An Open Educational Resource for Answer Set Programming.
Logical Structure	Evaluating Logical Structure in Computer Programs Using LLMs
Logics of Change	Dynamic Conditional Logic: A Complete Axiomatization of Update, Retraction, and Minimal Change
Logics of Update	Dynamic Conditional Logic: A Complete Axiomatization of Update, Retraction, and Minimal Change
Low resolution	Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images
low-resource language	Comparative Study of Different Learning Paradigms for Zero-Shot Sentiment Analysis of the Low-Resource African Language Oromo
LSTM	Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant TOML: Transistor Operations for Machine Learning - A Physics-Grounded Energy Efficiency Framework
M
Machine Learning	MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection ProtoPVAE: Improving Prototype Consistency and Stability with Regularized Latent Spaces Clinical Narratives Matter: Feature-Level Fusion for Improving ICU Length-of-Stay Prediction Learning General CP-nets Using Simulated Annealing Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning Seeing the Spark Before the Flame: Wildfire Risk Detection via UNets Non-Stationary Spectral Decomposition Network for Econometric Time Series Forecasting Machine Learning for Hypertension Prediction in U.S. University-Aged Students: Insights from NIH All of Us Data
Machine Learning (ML)	Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
Machine translation	An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation: The Case of Akuapem Twi
Machine Unlearning	Forgetting by Design: Testing the Effectiveness of Machine Unlearning in Right to Be Forgotten Data Deletion
Maintenance Analytics	Automatic Root-Cause Chain Extraction from Technician Maintenance Notes Using NLP and LLM Reasoning
Malware Analysis	AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats
Malware Detection	AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats
markov	Using a chat interface for a data-driven course planning wizard
Markov decision processes	Computational Models of Player Strategy in Roguelike Games
mdp	Using a chat interface for a data-driven course planning wizard
Mechanistic Interpretability	Domain-Specificity of Refusal Representations in Large Language Models
Medical Conditions	Machine Learning for Hypertension Prediction in U.S. University-Aged Students: Insights from NIH All of Us Data
Mental Health	An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models Monitoring therapeutic plans and risk signals from clinical narratives in mental health using natural language processing Scalable Clinical Informatics Frameworks for AI-Enabled Assistive Systems in Mental Health Care
Mental Health LLMs	An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models
mentoring	Using a chat interface for a data-driven course planning wizard
Metacognition	Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Reported Rankings and Scoring
Metadata Harmonization	Metadata Engineering: Harmonizing CT Descriptors in Enterprise Imaging Systems
method of lines	Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
Microcontrollers	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
ML	Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant
Modality Attribution	Quantifying Modality Contributions in Vision-Language Models via Partial Information Decomposition
model alignment	Automated Identification of Lexical Misalignment in Preference-Stage Learning across Large Language Model Families The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Model Debugging	InsightBoard: An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard
Model Interpretability	Quantifying Modality Contributions in Vision-Language Models via Partial Information Decomposition Explainable Hierarchical Graph Neural Networks for Structured Decision Modeling
Model Pruning	LLM Pruning with Elastic Net Enhanced Wanda Strategy
Model Quantization	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
Model Selection	Comparing Explanations of Competing Clinical Classification Algorithms
moral decision making	Training Ethical Language Models via Reinforcement Learning from AI Feedback
moral decision-making	From Recommendation to Reflection: Measuring Moral Value Stability in Human–AI Collaboration Using Cognitive Value Recontextualization
motion coordination	Ghost Agents in SAT-based Models for Multi-Agent Pathfinding
MRI	UCMUNET Liver: Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients
multi alternative decision field theory	A Multi Attribute Extension of MDFT
multi attribute	A Multi Attribute Extension of MDFT
multi-agent debate	The Judge Effect in Two-Round Legal Debate on LegalBench
multi-agent pathfinding	Ghost Agents in SAT-based Models for Multi-Agent Pathfinding
Multi-Agent Reinforcement Learning	When to Measure: A Multi-Agent Reinforcement Learning Approach for Efficient Tracking
Multi-Agent Systems	Integrating Large Language Models as Cognitive Agents into the GAMA Platform for Urban Mobility Simulation Evaluating Personalized Content Using Large Language Models OncoMark: A Two-Stage Gated Framework for Cancer Hallmark Detection from Biomedical Text
multi-label classification	FuseGO: Evaluating Embedding Fusion Across Species with Unequal Encoder Capacity for Automated Protein Function Prediction OncoMark: A Two-Stage Gated Framework for Cancer Hallmark Detection from Biomedical Text
Multi-label ECG classification	A Comparative Study of Deep Learning Architectures for Multi-Label Electrocardiogram Classification
Multi-Label Machine Learning	Multi-Label Heart Disease Classification Using Electrocardiograms and Machine Learning
Multi-label medical classification	Multimodal Chest Pathology Classification with Language and Image Transformers
Multi-Label Text Classification	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
Multi-manifold clustering	S3FC: Scalable Sparse Spectral Fusion Clustering for Multi-Manifold Data
Multi-Modal Retrieval	Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce
Multi-view landmark detection	A Deep Learning Framework for Automatic Multi-View Facial–Nasal Landmark Detection in Clinical Photographs
Multilingual NLP	CultIcon-Bench: A Pilot Benchmark for Cultural Interpretation of Visual Icon
Multimodal	Robotic Fall Prediction with Spatio-Temporal Processing of Egocentric Vision and Proprioception
Multimodal AI	Beyond Accuracy: Performance and Behavioral Evaluation of Multimodal AI for Suspicious Aerial Traffic Monitoring CultIcon-Bench: A Pilot Benchmark for Cultural Interpretation of Visual Icon
Multimodal Data	AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats
Multimodal Fusion	Quantifying Modality Contributions in Vision-Language Models via Partial Information Decomposition
Multimodal learning	Multimodal Chest Pathology Classification with Language and Image Transformers Multimodal Machine Learning for Student Retention Prediction: Integrating Temporal, Textual, and Tabular Features
N
National Vulnerability Database	Knowledge-Augmented Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities
Natural Language Generation	Semantic Length Limits in LLM Based Steganography
Natural Language Processing	MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection The Role of Emotions: Investigating Communicative Roles in Models and Data for Emotion Recognition Investigating Human-Aligned Large Language Model Uncertainty Monitoring therapeutic plans and risk signals from clinical narratives in mental health using natural language processing Evaluating Synthetic Sentence Coherence Using a Large Language Model LLM-Augmented Clustering for Customer Support Ticket Triage Multimodal Machine Learning for Student Retention Prediction: Integrating Temporal, Textual, and Tabular Features
Neural Additive Vector Autoregression (NAVAR)	Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models
Neural Architectures	AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats
Neural Congruency	Deep Contrastive Representations for Neural-Congruency Modeling in EEG Studies of Reading Disorders
Neural document understanding	A Comparative Evaluation of Document Extraction Tools for Construction Specification Parsing
Neural Machine Translation	Systematic Analysis of Tokenization Properties in Low-Resource Polysynthetic NMT
Neural Network Representations	Domain-Specificity of Refusal Representations in Large Language Models
Neural Networks	Deep Contrastive Representations for Neural-Congruency Modeling in EEG Studies of Reading Disorders Non-Stationary Spectral Decomposition Network for Econometric Time Series Forecasting
Neural State-Space Models	Non-Stationary Spectral Decomposition Network for Econometric Time Series Forecasting
NFR Relationships	Operationalization-Aware Modeling of Software Non-Functional Requirement Relationships: A Context-Aware Approach
NFT	From Tokens to Ties: Network and Discourse Analysis of Web3 Ecosystems
NIH All of Us Data	Machine Learning for Hypertension Prediction in U.S. University-Aged Students: Insights from NIH All of Us Data
NIST AI RMF	A Landscape of Trustworthy AI Frameworks and Metrics: Mapping to the NIST AI Risk Management Framework
NLP	Automatic Root-Cause Chain Extraction from Technician Maintenance Notes Using NLP and LLM Reasoning Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool A Narrative-Driven Computational Framework for Clinician Burnout Surveillance Fine-Grained Sentence-Level Propaganda Detection in News Articles SAGE 0.2: LLMs for DOM Informed Internet Guidance Do LLMs Outperform Fine-tuned Transformers in Emotion Classification? A Case Study of Llama and RoBERTa on an Emotion Benchmark
Non-Functional Requirements (NFRs)	Operationalization-Aware Modeling of Software Non-Functional Requirement Relationships: A Context-Aware Approach
Nonlinear Causal Time-Series Models	Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models
nonmonotonic reasoning	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
Nonstationary Time Series Forecasting	Non-Stationary Spectral Decomposition Network for Econometric Time Series Forecasting
normalized entropy	A Fairness-Aware Semi-Supervised Clustering Method
np-complete	ASP∀: An Open Educational Resource for Answer Set Programming.
np-hard	ASP∀: An Open Educational Resource for Answer Set Programming.
O
Object Detection	How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
Object Segmentation	Dense Attention-Enhanced U-Net for Complex Image Segmentation Tasks
Observational Astronomy	AstroAid: Personalized Target Down-Selection for Amateur Astronomers
oer	ASP∀: An Open Educational Resource for Answer Set Programming.
Oncology informatics	Evidence-Grounded Verification of Oncology Clinical Notes Using Structured EHR Data
online-reasoning platform	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
Ontology	Evaluating Synthetic Sentence Coherence Using a Large Language Model
open educational resource	ASP∀: An Open Educational Resource for Answer Set Programming.
optimality	On Using Domain Control Knowledge in Planning: Position Paper
Optimization	Feasibility of Tiny Recursion Models for the Traveling Salesman Problem: Learned Insertion and 2-opt Refinement
P
p-entailment	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
Pain Management	Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant
Partial Information Decomposition	Quantifying Modality Contributions in Vision-Language Models via Partial Information Decomposition
Particle Tracking	Scalable GNN Training for Track Finding
Path Planning	Fast and Flexible Sampling-Based Local Replanning for Single-Query Paths in Unknown Environments
penalized least squares	Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
Perplexity	LLM Pruning with Elastic Net Enhanced Wanda Strategy
Personalization	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning
Personalized Decision Support	AstroAid: Personalized Target Down-Selection for Amateur Astronomers
Personalized Learning	Evaluating Personalized Content Using Large Language Models
Personas	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning
Persuasion Attack	Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies
PGD Attack	HARD-Xception: A Hybrid Adversarially Robust Deepfake Detection Framework Using Frequency Decomposition and Feature Consistency Learning
phase gradient	Directional Relations in Complex Word Embeddings
physical AI	Emerging AI Trends: A 2025-2026 Synthesis
Physics	RAMP: Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models
Planning and Acting	Counting Constraints in POMDPs based on PID Controllers
pokemon	Improving RAG/CAG Based Additional Context Retrieval from Datasets implementations via Pokemon-themed AI Chatbot
Polymorphic Malware	AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats
Pragmatic context	An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation: The Case of Akuapem Twi
Pre-Act Architecture	An Iterative Self Correcting Agentic RAG System
Preference Learning	Learning General CP-nets Using Simulated Annealing
Preference Modeling	Learning General CP-nets Using Simulated Annealing
Preference Representation	Learning General CP-nets Using Simulated Annealing
Preferences	Learning General CP-nets Using Simulated Annealing
Press Release	Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies
Privacy	Steganography with Large Language Models: Key Sensitivity Analysis
Privacy-Preserving Computation	Approximate Decryption in Homomorphic Division and Privacy impact
Privacy-Preserving Machine Learning	Approximate Decryption in Homomorphic Division and Privacy impact
Probing	Probing Knowledge Graph Reliability and Semantic Coherence with Language Models
Problem modeling	A Pseudo-Boolean Formulation for Graph Database Queries
Product Discovery	Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce
Program Logic	Evaluating Logical Structure in Computer Programs Using LLMs
Programming Education	A Study on How Well LLMs Can Assist Novices with Code Comprehension Tasks A Preliminary Empirical Study of Large Language Models for Grading Debugging Problems in Programming Education Codify: An Intelligent Socratic Tutoring System for Programming Education
Programming Explanations	Addressing a bias in Evaluating of Student Explanations of Worked Programming Examples
propaganda detection	Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool Fine-Grained Sentence-Level Propaganda Detection in News Articles
protein language models	FuseGO: Evaluating Embedding Fusion Across Species with Unequal Encoder Capacity for Automated Protein Function Prediction
Protocols	JSON-LD 1.2 and Beyond: Extensions for Machine Learning Data Exchange
Prototype-based Interpretability	ProtoPVAE: Improving Prototype Consistency and Stability with Regularized Latent Spaces
Proximal Policy Optimization	Reward-Guided Fine-Tuning of Language Models with Social Feedback
Pseudo-Boolean Formulation	A Pseudo-Boolean Formulation for Graph Database Queries
Puzzle Sparsity	Sudoku Sage: Evaluating Correctness of LLM-Generated Moves as a Constraint Satisfaction Task
PyMuPDF	The Submittals Agent: A Hybrid Workflow for Automating Submittal Extraction from Construction Specifications
Q
Query	A Pseudo-Boolean Formulation for Graph Database Queries
querying	Improving RAG/CAG Based Additional Context Retrieval from Datasets implementations via Pokemon-themed AI Chatbot
R
Radiology reports	Multimodal Chest Pathology Classification with Language and Image Transformers
rag	Improving RAG/CAG Based Additional Context Retrieval from Datasets implementations via Pokemon-themed AI Chatbot
Rational agents	Explaining Why Instrumental Rationality is Insufficient for Ethical Behavior
Rational Arithmetic	Approximate Decryption in Homomorphic Division and Privacy impact
rational closure	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
RealVsFake	HARD-Xception: A Hybrid Adversarially Robust Deepfake Detection Framework Using Frequency Decomposition and Feature Consistency Learning
Reasoning	BDI Agent-Based Access Control Reasoning for Multimodal Retrieval-Augmented Generation
recommender	Using a chat interface for a data-driven course planning wizard
recommender systems	Fairness Implications of Data Minimization in Deep Collaborative Filtering From Recommendation to Reflection: Measuring Moral Value Stability in Human–AI Collaboration Using Cognitive Value Recontextualization
reduction to SAT	Ghost Agents in SAT-based Models for Multi-Agent Pathfinding
Regex based segmentation	The Submittals Agent: A Hybrid Workflow for Automating Submittal Extraction from Construction Specifications
Regression	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
reinforcement learning	Lipschitz-Regularized Critics Lead to Policy Robustness Against Transition Dynamics Uncertainty Improving Resilience Against Cyber-attacks via Reward-Shaped Reinforcement Learning in a Network Defense Game Training Ethical Language Models via Reinforcement Learning from AI Feedback Reward-Guided Fine-Tuning of Language Models with Social Feedback
Reinforcement Learning from Human Feedback	Automated Identification of Lexical Misalignment in Preference-Stage Learning across Large Language Model Families
Relational Semantics	Probing Knowledge Graph Reliability and Semantic Coherence with Language Models
representativeness	Improving LLM Thematic Analysis through Metric-Driven Self-Correction
Research Agency	Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies
Responsible AI	Explaining Why Instrumental Rationality is Insufficient for Ethical Behavior
Retrieval Augmented Generation (RAG)	An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models
retrieval time	Improving RAG/CAG Based Additional Context Retrieval from Datasets implementations via Pokemon-themed AI Chatbot
reward	Using a chat interface for a data-driven course planning wizard
reward shaping	Improving Resilience Against Cyber-attacks via Reward-Shaped Reinforcement Learning in a Network Defense Game
Reward-Guided Fine-Tuning	Reward-Guided Fine-Tuning of Language Models with Social Feedback
Rhinoplasty	A Deep Learning Framework for Automatic Multi-View Facial–Nasal Landmark Detection in Clinical Photographs
Right to Be Forgotten (RTBF)	Forgetting by Design: Testing the Effectiveness of Machine Unlearning in Right to Be Forgotten Data Deletion
Risk Signal Analysis	Monitoring therapeutic plans and risk signals from clinical narratives in mental health using natural language processing
RNN	TOML: Transistor Operations for Machine Learning - A Physics-Grounded Energy Efficiency Framework
Robotics	Lipschitz-Regularized Critics Lead to Policy Robustness Against Transition Dynamics Uncertainty Fast and Flexible Sampling-Based Local Replanning for Single-Query Paths in Unknown Environments Counting Constraints in POMDPs based on PID Controllers
Robots	Robotic Fall Prediction with Spatio-Temporal Processing of Egocentric Vision and Proprioception
Robust Reinforcement Learning	Lipschitz-Regularized Critics Lead to Policy Robustness Against Transition Dynamics Uncertainty
robustness	A Seven-Layer Lifecycle Framework for Fair, Robust, and Safe AI: Guidance and a German Credit Case Study
Roguelike games	Computational Models of Player Strategy in Roguelike Games
S
safety	A Seven-Layer Lifecycle Framework for Fair, Robust, and Safe AI: Guidance and a German Credit Case Study
Safety Fine-Tuning	Domain-Specificity of Refusal Representations in Large Language Models
SaltStack	Generation and Validation of Configuration Management Code for Cyber Range Environments Using Large Language Models
SAT	A Pseudo-Boolean Formulation for Graph Database Queries
satellite image classification	Satellite Image Analysis Using Modified EfficientNet
Satellite Remote Sensing Image-RSI-CB256	Satellite Image Analysis Using Modified EfficientNet
Scalable clustering	S3FC: Scalable Sparse Spectral Fusion Clustering for Multi-Manifold Data
security	Semantic Length Limits in LLM Based Steganography Can LLMs Classify Vehicular Basic Safety Messages Anomalies?
Security Analysis	Approximate Decryption in Homomorphic Division and Privacy impact
Segmentation	UCMUNET Liver: Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients
Self-Asssesment	Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Reported Rankings and Scoring
self-correction	Improving LLM Thematic Analysis through Metric-Driven Self-Correction
Semantic	A Narrative-Driven Computational Framework for Clinician Burnout Surveillance JSON-LD 1.2 and Beyond: Extensions for Machine Learning Data Exchange
Semantic Coherence	Probing Knowledge Graph Reliability and Semantic Coherence with Language Models
semantic hierarchy	Directional Relations in Complex Word Embeddings
Semantic Retrieval	BDI Agent-Based Access Control Reasoning for Multimodal Retrieval-Augmented Generation
semi-supervised clustering	A Fairness-Aware Semi-Supervised Clustering Method
sentence classification	Fine-Grained Sentence-Level Propaganda Detection in News Articles
sentiment analysis	Multimodal Machine Learning for Student Retention Prediction: Integrating Temporal, Textual, and Tabular Features
serious games	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Siamese network	Dwell Time Estimation Using Periodic Image Captures and Deep Learning Learning Team Synergy from Team Composition with a Siamese Transformer
Signal Processing	Multi-Label Heart Disease Classification Using Electrocardiograms and Machine Learning
Simulated Annealing	Learning General CP-nets Using Simulated Annealing
Sinusoidal Neural Networks	Non-Stationary Spectral Decomposition Network for Econometric Time Series Forecasting
Social Choice	Learning General CP-nets Using Simulated Annealing
Social Feedback	Reward-Guided Fine-Tuning of Language Models with Social Feedback
Social Network Analysis	From Tokens to Ties: Network and Discourse Analysis of Web3 Ecosystems
Socially Assistive Robotics	Scalable Clinical Informatics Frameworks for AI-Enabled Assistive Systems in Mental Health Care
Source Imaging	A Unified Atlas-Aware Framework for Interpretable Spatio–Temporal EEG Source Imaging
space weather monitoring	Forecasting Geomagnetic Disturbances with Interpretable Deep Learning
Space weather prediction	Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning
Sparse representation	S3FC: Scalable Sparse Spectral Fusion Clustering for Multi-Manifold Data
Sparsity	LLM Pruning with Elastic Net Enhanced Wanda Strategy
Spatial feature	Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images
Speaker-Observer Perspective	The Role of Emotions: Investigating Communicative Roles in Models and Data for Emotion Recognition
Spectral clustering	S3FC: Scalable Sparse Spectral Fusion Clustering for Multi-Manifold Data
Spectral Decomposition	Non-Stationary Spectral Decomposition Network for Econometric Time Series Forecasting
sports prediction	Learning Team Synergy from Team Composition with a Siamese Transformer
Squeeze-and-Excitation	Satellite Image Analysis Using Modified EfficientNet
SSD	How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
stance detection	MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection
Stenography	Steganography with Large Language Models: Key Sensitivity Analysis
Stereo Vision	Collaboration on Waltz Labels can Achieve Qualitative Stereo Vision
Stochastic Models	Counting Constraints in POMDPs based on PID Controllers
Stress	A Narrative-Driven Computational Framework for Clinician Burnout Surveillance
strongly consistent	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
Structured Decision Making	Explainable Hierarchical Graph Neural Networks for Structured Decision Modeling
Structured Query Language	Impact of AI-Generated Queries on SQL Code Complexity
student	Using a chat interface for a data-driven course planning wizard
student retention	Multimodal Machine Learning for Student Retention Prediction: Integrating Temporal, Textual, and Tabular Features
Stylometry	A Visualization of Explainable Stylometry of Presidential Speech and Writing
Submittal extraction	The Submittals Agent: A Hybrid Workflow for Automating Submittal Extraction from Construction Specifications
Subspace clustering	S3FC: Scalable Sparse Spectral Fusion Clustering for Multi-Manifold Data
Sudoku	Sudoku Sage: Evaluating Correctness of LLM-Generated Moves as a Constraint Satisfaction Task
Survey	Fragment-Based AI for Antibiotic Discovery
Survivor-Like Games	Computational Models of Player Strategy in Roguelike Games
Suspicious Flight Detection	Beyond Accuracy: Performance and Behavioral Evaluation of Multimodal AI for Suspicious Aerial Traffic Monitoring
Symbolic Reasoning	Collaboration on Waltz Labels can Achieve Qualitative Stereo Vision
Symbolic Representation	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
Synthetic Aperture Radar (SAR)	Graph-Based Modeling of Iceberg Dynamics from Synthetic Aperture Radar Imagery
Synthetic Sentence Generation	Evaluating Synthetic Sentence Coherence Using a Large Language Model
system W	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
system Z	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
Systematic error analysis	Reliability Beyond Accuracy: Error Analysis of Agentic Tool-Augmented Reasoning in LLMs on CURE-Bench
T
T-Stage Transformer	UCMUNET Liver: Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients
Tabular Data Mining	When One Model Is Not Enough: Twin Training for Prioritized Decisions
Target Classification	Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies
Teaching Assistant	ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring
Technician Narratives	Automatic Root-Cause Chain Extraction from Technician Maintenance Notes Using NLP and LLM Reasoning
Temporal anchoring	Evidence-Grounded Verification of Oncology Clinical Notes Using Structured EHR Data
Temporal Logic	Dynamic Conditional Logic: A Complete Axiomatization of Update, Retraction, and Minimal Change
TextCNN	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
thematic analysis	Improving LLM Thematic Analysis through Metric-Driven Self-Correction
Therapeutic AI reasoning	Reliability Beyond Accuracy: Error Analysis of Agentic Tool-Augmented Reasoning in LLMs on CURE-Bench
Therapeutic Plan Monitoring	Monitoring therapeutic plans and risk signals from clinical narratives in mental health using natural language processing
Threat Intelligence	AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats
Threat Mitigation	Automated IoT Threat Monitoring & Mitigation using Tiny LLMs
Threshold Calibration	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
Time series	Robotic Fall Prediction with Spatio-Temporal Processing of Egocentric Vision and Proprioception
Time Series Forecasting	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
Tiny LLM	Automated IoT Threat Monitoring & Mitigation using Tiny LLMs
Tiny Reasoning Model	Feasibility of Tiny Recursion Models for the Traveling Salesman Problem: Learned Insertion and 2-opt Refinement
TinyML	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
Tokenization	Systematic Analysis of Tokenization Properties in Low-Resource Polysynthetic NMT
Tool-Oriented Agents	Semantic Conversational AI for Construction Cost Analytics
Topic Modeling	A Visualization of Explainable Stylometry of Presidential Speech and Writing
Toxicity Mitigation	Reward-Guided Fine-Tuning of Language Models with Social Feedback
Training-Free Pruning	LLM Pruning with Elastic Net Enhanced Wanda Strategy
Transfer learning	Dwell Time Estimation Using Periodic Image Captures and Deep Learning
transformer	Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images Learning Team Synergy from Team Composition with a Siamese Transformer
Transformer Classification	Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool
Transformers	Feasibility of Tiny Recursion Models for the Traveling Salesman Problem: Learned Insertion and 2-opt Refinement SAGE 0.2: LLMs for DOM Informed Internet Guidance Do LLMs Outperform Fine-tuned Transformers in Emotion Classification? A Case Study of Llama and RoBERTa on an Emotion Benchmark
transition	Using a chat interface for a data-driven course planning wizard
translation	ShZZaM: An LLM+ATP Natural Language to Logic Translator
Trauma Triage	Automatic Translation from LIME to Clinically Meaningful Triage Explanations
Traveling Salesman Problem	Feasibility of Tiny Recursion Models for the Traveling Salesman Problem: Learned Insertion and 2-opt Refinement
trust	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Trust in AI	A Landscape of Trustworthy AI Frameworks and Metrics: Mapping to the NIST AI Risk Management Framework
Trusted AI	A Landscape of Trustworthy AI Frameworks and Metrics: Mapping to the NIST AI Risk Management Framework
Trustworthy AI	A Seven-Layer Lifecycle Framework for Fair, Robust, and Safe AI: Guidance and a German Credit Case Study A Landscape of Trustworthy AI Frameworks and Metrics: Mapping to the NIST AI Risk Management Framework Approximate Decryption in Homomorphic Division and Privacy impact Explaining Why Instrumental Rationality is Insufficient for Ethical Behavior
Trustworthy AI Frameworks	A Landscape of Trustworthy AI Frameworks and Metrics: Mapping to the NIST AI Risk Management Framework
Trustworthy AI Metrics	A Landscape of Trustworthy AI Frameworks and Metrics: Mapping to the NIST AI Risk Management Framework
Twin Training	When One Model Is Not Enough: Twin Training for Prioritized Decisions
U
U-Net	Dense Attention-Enhanced U-Net for Complex Image Segmentation Tasks Seeing the Spark Before the Flame: Wildfire Risk Detection via UNets
uncertainty calibration	Investigating Human-Aligned Large Language Model Uncertainty
uncertainty quantification	Investigating Human-Aligned Large Language Model Uncertainty
Uncertainty-aware reasoning	Evidence-Grounded Verification of Oncology Clinical Notes Using Structured EHR Data
Ungrounded Prompting	Sudoku Sage: Evaluating Correctness of LLM-Generated Moves as a Constraint Satisfaction Task
Unified Cross-Modality	UCMUNET Liver: Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients
Unknown Environment	Fast and Flexible Sampling-Based Local Replanning for Single-Query Paths in Unknown Environments
Unmanned Aerial Vehicles	When to Measure: A Multi-Agent Reinforcement Learning Approach for Efficient Tracking
Unsupervised learning	S3FC: Scalable Sparse Spectral Fusion Clustering for Multi-Manifold Data
urban mobility	Integrating Large Language Models as Cognitive Agents into the GAMA Platform for Urban Mobility Simulation
Usability	Automatic Translation from LIME to Clinically Meaningful Triage Explanations
User Modeling	AstroAid: Personalized Target Down-Selection for Amateur Astronomers
V
value alignment	From Recommendation to Reflection: Measuring Moral Value Stability in Human–AI Collaboration Using Cognitive Value Recontextualization
value consistency	From Recommendation to Reflection: Measuring Moral Value Stability in Human–AI Collaboration Using Cognitive Value Recontextualization
Viewer	Interactive Solution Viewers for Automated Theorem Proving
Vision Graph Neural Networks (ViG)	Graph-Based Modeling of Iceberg Dynamics from Synthetic Aperture Radar Imagery
Vision Transformers	Multimodal Chest Pathology Classification with Language and Image Transformers
Vision-Language Models	Quantifying Modality Contributions in Vision-Language Models via Partial Information Decomposition CultIcon-Bench: A Pilot Benchmark for Cultural Interpretation of Visual Icon
Vision–language models	Multimodal Chest Pathology Classification with Language and Image Transformers
Visual Search	Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce
Visualization	A Visualization of Explainable Stylometry of Presidential Speech and Writing InsightBoard: An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard
W
Wanda	LLM Pruning with Elastic Net Enhanced Wanda Strategy
wave equation	Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
weakly consistent	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
Wearables	Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant
Wildfire prediction	Seeing the Spark Before the Flame: Wildfire Risk Detection via UNets
wizard	Using a chat interface for a data-driven course planning wizard
Workflow Agent	An Iterative Self Correcting Agentic RAG System
Writing Style	A Visualization of Explainable Stylometry of Presidential Speech and Writing
X
XAI	Automatic Translation from LIME to Clinically Meaningful Triage Explanations
Y
YOLOv8	How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
Z
Zero-Day Threats	AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats
zero-shot classification	Multimodal Machine Learning for Student Retention Prediction: Integrating Temporal, Textual, and Tabular Features
zero-shot learning	Dwell Time Estimation Using Periodic Image Captures and Deep Learning Comparative Study of Different Learning Paradigms for Zero-Shot Sentiment Analysis of the Low-Resource African Language Oromo

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