FLAIRS-37: THE 37TH INTERNATIONAL CONFERENCE OF THE FLORIDA ARTIFICIAL INTELLIGENCE RESEARCH SOCIETY

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

A
Abstractive Text Summarization	Abstractive Text Summarization Based on Neural Fusion
Accessibility	Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition [#5]
accountability	Sharing Accountability of Versatile AI Systems: A Literature Review on the Role of Developers and Practitioners
adaptive instruction	Using Genetic Algorithms to Automate Scenario Generation and Enhance the Training Value of Serious Games for Adaptive Instruction
Adware	Multimodal and Explainable Android Adware Classification Techniques
Agents	Model for Knowledge Transfer in Agent Organizations: A Case Study on Moise+
AI	Learning Cohesive Behaviors Across Scales for Competitive Agents GCN-Based Issues Classification in Software Repository Reinforcement Learning Agents with Generalizing Behavior [#32] Moving to Advanced Research on Human Machine Interface Design [#26]
AI Act	Evolution of Norms for a Trustworthy AI Society and Our Responsibilities and Roles
AI ethics	Evolution of Norms for a Trustworthy AI Society and Our Responsibilities and Roles
AI Ethics Guidelines	A Scoping Review of Transparency and Explainability in AI Ethics Guidelines
Ai Impact	Game Theoretic Analysis of the Feedback Loop Caused by Widely Available Computer Estimation on Market Values [#22]
AI in healthcare	AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities [#27]
AI in Medicine	The Evolution of AI: How Medical Applications Have Stimulated and Guided the Field
AI regulation	Evolution of Norms for a Trustworthy AI Society and Our Responsibilities and Roles
AI Safety	Minimizing Negative Side Effects in Cooperative Multi-Agent Systems Using Distributed Coordination
AI Tutor	AI Tutor: Student’s Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation [#20]
algorithmic fairness	Effects of Matching on Measurements of Accuracy, Fairness, and Fairness Impossibility
Analysis AI	An NLP Cluster Analysis of AI Ethics Syllabi [#38]
Analysis of Models	Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models
Annotations	Enhancing Biomedical Knowledge Representation Through Knowledge Graphs
Anomaly Detection	Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams
answer set programming	Intrinsic Prioritization in Answer Set Programming Based on an Adapted Notion of Tolerance
Anthropomorphism	Evaluating Vision-Language Models on the TriangleCOPA Benchmark [#42]
Applications of AI	Good Apples / Bad Apples: Detection and classification of damage [#8]
Applied ethics	Embedding Ethics Into Artificial Intelligence: Understanding What Can Be Done, What Can't, and What Is Done
Army Planning	Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models
Artificial Intelligence	Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization How did an election fraud narrative spread online? Testing theories using Artificial Intelligence [#25] Government Health Communication During the COVID-19 Pandemic: A BERT Topic Modeling Approach [#24] The Evolution of AI: How Medical Applications Have Stimulated and Guided the Field Ethics of AI Explained An Introduction to Probabilistic Graphical Models Challenges and Opportunities of AI/ML and Autonomy for the Navy
artificial intelligence in education	Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools
Aspect-based Sentiment Analysis	Evaluating Graph Attention Networks as an Alternative to Transformers for ABSA Task in Low-Resource Languages
atmospheric motion vectors	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
Attention	POLOR: Leveraging Contrastive Learning to Detect Political Orientation of Opinion in News Media
Attention models	Improving Axial-Attention Network via Cross-Channel Weight Sharing
Attentional Asynchrony	Your Brain on STEM Video Lessons: Exploring Neurophysiological Pat-terns and Educational Engagement to Video Content [#28]
audio	Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion
authorship attribution	Authorship Attribution of English Poetry using Sentiment Analysis
Automated Planning	The Impact of PDDL+ Language Features on Planning Performance: An Empirical Analysis On a Real-World Case Study [#3]
Automated Reasoning	Good Apples / Bad Apples: Detection and classification of damage [#8]
automated scenario generation	Using Genetic Algorithms to Automate Scenario Generation and Enhance the Training Value of Serious Games for Adaptive Instruction
Automatic Case Elicitation	Toward Automated Knowledge Discovery in Case-Based Reasoning
Automatic diagnosis of Alzheimer's	Dementia Detection with Phonetic and Phonological Features [#13]
autonomous intersection management	The Effectiveness of Autonomous Intersections in a City [#18]
B
BART-PT model	Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
Bayesian Methods	Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy
Behavior representation	Training Reinforcement Learning Agents to React to an Ambush for Military Simulations [#36]
BERT	Bridging the Knowledge Gap: Improving BERT models for answering MCQs by using Ontology-generated synthetic MCQA Dataset POLOR: Leveraging Contrastive Learning to Detect Political Orientation of Opinion in News Media Government Health Communication During the COVID-19 Pandemic: A BERT Topic Modeling Approach [#24]
Beta-Liouville Distribution	Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data
bias	Beyond Size and Accuracy: The Impact of Model Compression on Fairness
Biomedical	Enhancing Biomedical Knowledge Representation Through Knowledge Graphs
Biomedical Ontologies	Bridging the Knowledge Gap: Improving BERT models for answering MCQs by using Ontology-generated synthetic MCQA Dataset
Biosignal classification	TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
bootstrapping	Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning
Brazilian Portuguese	Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
Brian	CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7]
C
Case Based Reasoning	Toward Automated Knowledge Discovery in Case-Based Reasoning
CatBoost Architecture	Using Data Synthesis to Improve Length of Stay Predictions for Patient's with Rare Diagnoses
ChatGPT	Towards Youth Mental Health Support: Developing a Prototype AI Counselor [#31] Opinion Identification using a Conversational Large Language Model [#35] Growth Mindset Emojifier Multimodal App [#12]
Class Imbalance	Enhanced Multi-Class Detection of Fake News
classification	Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models An Interpretable Transformer Model for Operational Flare Forecasting [#2]
climate	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
climatology	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
clinical	CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7]
CLIP	Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion
Clustering	On Clustering in Qualitative Spatial and Temporal Reasoning
CNN	CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7]
Coalition games	Matching-based Coalition Formation for Multi-robot Task Assignment Under Partial Uncertainty
Cognitive Architecture	Initial Goal Allocation for Multi-agent Systems
Cohorts	Using Data Synthesis to Improve Length of Stay Predictions for Patient's with Rare Diagnoses
Collaborative Agents	Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Deci-sions with Expertise-Informed Tasks
Colon Cancer	Lung and Colon Cancer Histopathological Image Classification Using 1D Convolutional Channel-based Attention Networks
Colour passing	Efficient Detection of Exchangeable Factors in Factor Graphs
COMPAS	Effects of Matching on Measurements of Accuracy, Fairness, and Fairness Impossibility
competition	Optimizing Dynamic Airlift Operations: Winning Strategies in the AFRL Airlift Challenge [#41]
Complexity	Preference Reasoning Under Partial Alternatives
Computational Complexity	Preference Reasoning Under Partial Alternatives
Computer Vision	Enhancing Image Classification through Exploitation of Hue Cyclicity in Convolutional Neural Networks [#29]
conditional	A Partial MaxSAT Approach to Nonmonotonic Reasoning with System W
conditional belief base	A Partial MaxSAT Approach to Nonmonotonic Reasoning with System W
conditional reasoning	Intrinsic Prioritization in Answer Set Programming Based on an Adapted Notion of Tolerance
Constraint Composite Graph	Constraint Composite Graph-Based Weighted CSP Solvers: An Empirical Study
content moderation	Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion
Contrastive learning	POLOR: Leveraging Contrastive Learning to Detect Political Orientation of Opinion in News Media Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia [#21]
Contrastive predictive coding	Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition [#5]
Conversational Chatbot	Towards Youth Mental Health Support: Developing a Prototype AI Counselor [#31]
conversational Large Language Model	Opinion Identification using a Conversational Large Language Model [#35]
ConvLSTM	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
Convolutional Neural Network	Aircraft Engine Remaining Useful Life Prediction Using Machine Learning [#39]
Convolutional Neural Network (CNN)	Lung and Colon Cancer Histopathological Image Classification Using 1D Convolutional Channel-based Attention Networks
Convolutional Neural Networks	Enhancing Image Classification through Exploitation of Hue Cyclicity in Convolutional Neural Networks [#29]
Cooperative Multi-agent Systems	Minimizing Negative Side Effects in Cooperative Multi-Agent Systems Using Distributed Coordination
Coordination	Image Interpretation Confusion Resolution by Collaboration [#23]
Correlation of Forces and Means	Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models
Corrosion	Predictive model using multivariate analysis and LSTM to assess mining pipeline thickness for corrosion degradation
Counter-Speech	War of Words: Harnessing the Potential of Large Language Models and Retrieval Augmented Generation to Classify, Counter and Diffuse Hate Speech
Counterfactual Reasoning	Causal Unit Selection using Tractable Arithmetic Circuits
Credit card fraud detection	Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection
CTGAN	Using Data Synthesis to Improve Length of Stay Predictions for Patient's with Rare Diagnoses
Curriculum Learning	Automatically Learning HTN Methods from Landmarks
Cyber-Physical Data Fusion	Hybrid Cyber-Physical Intrusion Detection System for Smart Manufacturing
Cyber-Physical Systems	Hybrid Cyber-Physical Intrusion Detection System for Smart Manufacturing
cybersecurity	Intelligent Prevention of DDoS Attacks using Reinforcement Learning and Smart Contracts [#14]
D
Data Augmentation	Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models The Impact of Data Augmentation on the Hate Speech Detection in Portuguese Language
Data diversity and representation	AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities [#27]
Data imputation	Genetic algorithm feature selection resilient to increasing amounts of data imputation [#15]
data integrity attacks	On GAN-based Data Integrity Attacks Against Robotic Spatial Sensing
data mining	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
Decision Agents	Terrain-Aware Military Planning Agents [#19]
decision-making	Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools
deep	An Interpretable Transformer Model for Operational Flare Forecasting [#2]
Deep Learning	Bridging the Knowledge Gap: Improving BERT models for answering MCQs by using Ontology-generated synthetic MCQA Dataset Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification Fluid Path Detection Model for Lab on a Chip Images Using Deep Learn-ing-Based Segmentation Approach DeepGray: Malware Classification Using Grayscale Images with Deep Learning Advancing Precision Healthcare Analytics: Machine Learning Approaches for Diabetes Prognosis using the PIMA Indian Dataset [#17] Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition [#5] Neural Network Hardware Acceleration Bridging the Gap: A Comprehensive Study on Named Entity Recognition in Electronic Domain using Hybrid Statistical and Deep Knowledge Transfer Beyond Binary: Revealing Variations in Islamophobic Content with Hierarchical Multi-Class Classification What Matters in Irony Detection: An Extended Feature Engineering for Irony Detection in English Tweets. Lung and Colon Cancer Histopathological Image Classification Using 1D Convolutional Channel-based Attention Networks
Deep Learning Application	Pulmonary Disease Classification on Electrocardiograms Using Machine Learning [#4] Predicting Solar Energy Output On Meteorological Time-Series Data Using Machine Learning [#40] Aircraft Engine Remaining Useful Life Prediction Using Machine Learning [#39]
Deep Learning Models	Enhanced Multi-Class Detection of Fake News
diabetes	Machine learning prediction of severity and duration of hypoglycemic events in type 1 diabetes patients
Diabetes prognosis	Advancing Precision Healthcare Analytics: Machine Learning Approaches for Diabetes Prognosis using the PIMA Indian Dataset [#17]
diagnosis	Fluid Path Detection Model for Lab on a Chip Images Using Deep Learn-ing-Based Segmentation Approach
Dialogue systems	Augmenting Training Data for a Virtual Character Using GPT-3.5 [#10]
digital transformation	Sharing Accountability of Versatile AI Systems: A Literature Review on the Role of Developers and Practitioners
Dirichlet Compound Multinomial Distribution	Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data
Distributed Constraint Optimization Problems	Minimizing Negative Side Effects in Cooperative Multi-Agent Systems Using Distributed Coordination
DL	Mobile Fog AI for Internet of BattleField Things (IoBT) [#34]
Double Soft Set	On Softs Sets and Formal Concept Analysis (FCA) as mathematical categorization systems - An Engineering Application
DQN	Reinforcement Learning Agents with Generalizing Behavior [#32]
Dungeon Graph	Shortest Walk in a Dungeon Graph
Durability of materials	On Softs Sets and Formal Concept Analysis (FCA) as mathematical categorization systems - An Engineering Application
dynamic airlift problem	Optimizing Dynamic Airlift Operations: Winning Strategies in the AFRL Airlift Challenge [#41]
Dynamic environments	Teaching Robots To "Get It Right"
Dynamic graph	Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams
Dynamic time warping	Enhancing Nearest Neighbor Classification Performance through Dynamic Time Warping with Progressive Penalty [#30]
Dyslexia	Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia [#21]
E
Education	AI Tutor: Student’s Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation [#20]
EEG	Your Brain on STEM Video Lessons: Exploring Neurophysiological Pat-terns and Educational Engagement to Video Content [#28] Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia [#21] CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7]
election fraud	How did an election fraud narrative spread online? Testing theories using Artificial Intelligence [#25]
election security	How did an election fraud narrative spread online? Testing theories using Artificial Intelligence [#25]
electroencephalogram	A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals
Electroencephalography	Your Brain on STEM Video Lessons: Exploring Neurophysiological Pat-terns and Educational Engagement to Video Content [#28] Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia [#21]
electronic domain	Bridging the Gap: A Comprehensive Study on Named Entity Recognition in Electronic Domain using Hybrid Statistical and Deep Knowledge Transfer
Embedded System	Mobile Fog AI for Internet of BattleField Things (IoBT) [#34]
Emergency Department	Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental Plan
Emergency Vehicles	Informed Traffic Signal Preemption for Emergency Vehicles
Emoji-Enhanced Feedback	Growth Mindset Emojifier Multimodal App [#12]
emotion recognition	A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals
empty methods	Handling Empty Decomposition Methods in Hierarchical Planning
Encoder-decoder models	Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
enrollment prediction	Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools
ensemble learning	Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning
Ensemble modeling	TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
Environmental Issues	Twitter User Account Classification to Gain Insights into Communication Dynamics and Public Awareness During Tampa Bay's Red Tide Events
equalized odds	Effects of Matching on Measurements of Accuracy, Fairness, and Fairness Impossibility
Ethical pluralism	Embedding Ethics Into Artificial Intelligence: Understanding What Can Be Done, What Can't, and What Is Done
Ethics	Ethics of AI Explained
Ethics of artificial intelligence	Embedding Ethics Into Artificial Intelligence: Understanding What Can Be Done, What Can't, and What Is Done
Ethics Syllabi	An NLP Cluster Analysis of AI Ethics Syllabi [#38]
Euclidean geometry	Lattice-Based Generation of Euclidean Geometry Figures
Evaluation benchmarks	Evaluating Vision-Language Models on the TriangleCOPA Benchmark [#42]
Evaluation metrics	Enhancing Explainability in Predictive Maintenance: Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness
evidence retrieval	Determining Legal Relevance with LLMs using Relevance Chain Prompting
Expectation-Maximization (EM)	Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture
Experimental fine-tuning	Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
explainability	Human Cognition for Mitigating the Paradox of AI Explainability: A Pilot Study on Human Gaze-based Text Highlighting [#16] A Scoping Review of Transparency and Explainability in AI Ethics Guidelines
Explainable AI	Multimodal and Explainable Android Adware Classification Techniques
Explainable AI (XAI)	Which Actions Are Always Necessary in Fully-Observable Non-Deterministic Planning?
Explainable Artificial Intelligence	Enhancing Explainability in Predictive Maintenance: Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness Embedding Ethics Into Artificial Intelligence: Understanding What Can Be Done, What Can't, and What Is Done Knowledge-infused and Explainable Malware Forensics
Explainable Planning (XAIP)	Which Actions Are Always Necessary in Fully-Observable Non-Deterministic Planning?
exponentiation	Decoding Complexity: A Mathematical Framework for Enhanced Translation Comprehension
Eye-tracking	Your Brain on STEM Video Lessons: Exploring Neurophysiological Pat-terns and Educational Engagement to Video Content [#28]
F
fairness	Effects of Matching on Measurements of Accuracy, Fairness, and Fairness Impossibility Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing [#1] Beyond Size and Accuracy: The Impact of Model Compression on Fairness
fairness impossibility	Effects of Matching on Measurements of Accuracy, Fairness, and Fairness Impossibility
Fake News Detection	Enhanced Multi-Class Detection of Fake News
Feature saliency	Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture
Feature Selection	Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture Genetic algorithm feature selection resilient to increasing amounts of data imputation [#15]
federated knowledge graphs	Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems [#33]
Figure Generation	Lattice-Based Generation of Euclidean Geometry Figures
Fine-tuning	POLOR: Leveraging Contrastive Learning to Detect Political Orientation of Opinion in News Media
FLAN-T5 model	Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
flare	An Interpretable Transformer Model for Operational Flare Forecasting [#2]
forecasting	Severe Weather Forecasting via the Sole Use of Satellite Data [#6] An Interpretable Transformer Model for Operational Flare Forecasting [#2]
Formal Concept Analysis (FCA)Systems Parameters	On Softs Sets and Formal Concept Analysis (FCA) as mathematical categorization systems - An Engineering Application
freedom of speech	Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age
Fully-Observable Non-Deterministic (FOND) Planning	Which Actions Are Always Necessary in Fully-Observable Non-Deterministic Planning?
G
Game Theory	Game Theoretic Analysis of the Feedback Loop Caused by Widely Available Computer Estimation on Market Values [#22]
Games	Learning Cohesive Behaviors Across Scales for Competitive Agents
Gaming	Reinforcement Learning Agents with Generalizing Behavior [#32]
GCN	GCN-Based Issues Classification in Software Repository
Generative Adversarial Network	On GAN-based Data Integrity Attacks Against Robotic Spatial Sensing
Generative Adversarial Networks	Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection
Generative AI	Toward Automated Knowledge Discovery in Case-Based Reasoning AI Tutor: Student’s Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation [#20] War of Words: Harnessing the Potential of Large Language Models and Retrieval Augmented Generation to Classify, Counter and Diffuse Hate Speech
Generator and Discriminator Loss	Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection
genetic algorithms	Using Genetic Algorithms to Automate Scenario Generation and Enhance the Training Value of Serious Games for Adaptive Instruction Genetic algorithm feature selection resilient to increasing amounts of data imputation [#15]
Goal Operations	Initial Goal Allocation for Multi-agent Systems
government health communication	Government Health Communication During the COVID-19 Pandemic: A BERT Topic Modeling Approach [#24]
Graph	Analysis of word embeddings with Graph-Based Context Adaptation for Enhanced Word Vectors
Graph Attention Network	Evaluating Graph Attention Networks as an Alternative to Transformers for ABSA Task in Low-Resource Languages
Graph Convolutional Network	Learning Cohesive Behaviors Across Scales for Competitive Agents
Graph Convolutional Networks	GCN-Based Issues Classification in Software Repository
Growth Mindset	Growth Mindset Emojifier Multimodal App [#12]
H
Hand gestures recognition	Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition [#5]
Hardware Acceleration	Neural Network Hardware Acceleration
Hate Speech	The Impact of Data Augmentation on the Hate Speech Detection in Portuguese Language Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age
Healthcare	Pulmonary Disease Classification on Electrocardiograms Using Machine Learning [#4]
Heuristic	Shortest Walk in a Dungeon Graph
Hidden Markov Model	Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models
Hierarchical Agents	LLM Augmented Hierarchical Agents
Hierarchical feature learning	A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework
hierarchical planning	Using Earley Parser for Verification of Totally Ordered Hierarchical Plans Handling Empty Decomposition Methods in Hierarchical Planning
Hierarchical reinforcement learning	LLM Augmented Hierarchical Agents Leveraging Organizational Hierarchy to Simplify Reward Design in Cooperative Multi-agent Reinforcement Learning [#9]
hierarchical task networks	Handling Empty Decomposition Methods in Hierarchical Planning
High-throughput sequencing	StrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets
HTN	Using Earley Parser for Verification of Totally Ordered Hierarchical Plans Handling Empty Decomposition Methods in Hierarchical Planning
HTN learning	Automatically Learning HTN Methods from Landmarks
Hue	Enhancing Image Classification through Exploitation of Hue Cyclicity in Convolutional Neural Networks [#29]
Human Bias	Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental Plan
human cognition	Human Cognition for Mitigating the Paradox of AI Explainability: A Pilot Study on Human Gaze-based Text Highlighting [#16]
Human Machine Interface	Moving to Advanced Research on Human Machine Interface Design [#26]
Human/AI bias	AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities [#27]
hypoglycemic event	Machine learning prediction of severity and duration of hypoglycemic events in type 1 diabetes patients
hypostases	Decoding Complexity: A Mathematical Framework for Enhanced Translation Comprehension
I
ICA Rejection	CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7]
Image Classification	Improving Axial-Attention Network via Cross-Channel Weight Sharing
Imbalanced Classification	Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods
implicit opinions	Opinion Identification using a Conversational Large Language Model [#35]
Income Tax	TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG)
Incomplete Information	Preference Reasoning Under Partial Alternatives
inductive inference operator	A Partial MaxSAT Approach to Nonmonotonic Reasoning with System W
information propagation	How did an election fraud narrative spread online? Testing theories using Artificial Intelligence [#25]
Interoperability	Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing [#1]
Interpretability	Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models
interpretable	An Interpretable Transformer Model for Operational Flare Forecasting [#2]
intersection interaction	The Effectiveness of Autonomous Intersections in a City [#18]
Intrusion Detection Systems	Hybrid Cyber-Physical Intrusion Detection System for Smart Manufacturing
IoBT	Mobile Fog AI for Internet of BattleField Things (IoBT) [#34]
Irony Detection	What Matters in Irony Detection: An Extended Feature Engineering for Irony Detection in English Tweets.
Islamophobia	Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age Beyond Binary: Revealing Variations in Islamophobic Content with Hierarchical Multi-Class Classification
Issue classification	GCN-Based Issues Classification in Software Repository
iterated optimization	Optimizing Dynamic Airlift Operations: Winning Strategies in the AFRL Airlift Challenge [#41]
K
Knowledge Compilation	Causal Unit Selection using Tractable Arithmetic Circuits
Knowledge discovery	On Clustering in Qualitative Spatial and Temporal Reasoning Toward Automated Knowledge Discovery in Case-Based Reasoning
knowledge distillation	Knowledge Distillation for a Domain-Adaptive Visual Recommender System
Knowledge Engineering	The Impact of PDDL+ Language Features on Planning Performance: An Empirical Analysis On a Real-World Case Study [#3]
Knowledge exchange	Image Interpretation Confusion Resolution by Collaboration [#23]
Knowledge Graph	Enhancing Biomedical Knowledge Representation Through Knowledge Graphs Knowledge-infused and Explainable Malware Forensics
Knowledge Infusion	Knowledge-infused and Explainable Malware Forensics
Knowledge Representation	Enhancing Biomedical Knowledge Representation Through Knowledge Graphs
knowledge representation and reasoning	Intrinsic Prioritization in Answer Set Programming Based on an Adapted Notion of Tolerance
Knowledge Transfer	Model for Knowledge Transfer in Agent Organizations: A Case Study on Moise+
L
Lab on a chip	Fluid Path Detection Model for Lab on a Chip Images Using Deep Learn-ing-Based Segmentation Approach
labeling	CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7]
Landmarks	Automatically Learning HTN Methods from Landmarks
Language Conditioned RL	LLM Augmented Hierarchical Agents
language models	Determining Legal Relevance with LLMs using Relevance Chain Prompting
Large Language Models	Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems [#33] Augmenting Training Data for a Virtual Character Using GPT-3.5 [#10] Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental Plan TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG)
Large Language Models in Education	Growth Mindset Emojifier Multimodal App [#12]
Large-scale Language Models	What Matters in Irony Detection: An Extended Feature Engineering for Irony Detection in English Tweets.
learning	An Interpretable Transformer Model for Operational Flare Forecasting [#2]
legal reasoning	Determining Legal Relevance with LLMs using Relevance Chain Prompting
Length of Stay Prediction	Using Data Synthesis to Improve Length of Stay Predictions for Patient's with Rare Diagnoses
Lexical and syntactic features	Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora
Lifted probabilistic inference	Efficient Detection of Exchangeable Factors in Factor Graphs
Literature survey	AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities [#27]
LLM	LLM Augmented Hierarchical Agents TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG)
LLMs	AI Tutor: Student’s Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation [#20]
logical modalities	Decoding Complexity: A Mathematical Framework for Enhanced Translation Comprehension
Long Short-Term Memory	Aircraft Engine Remaining Useful Life Prediction Using Machine Learning [#39]
low-resource domain	Bridging the Gap: A Comprehensive Study on Named Entity Recognition in Electronic Domain using Hybrid Statistical and Deep Knowledge Transfer
Low-resource Language	Evaluating Graph Attention Networks as an Alternative to Transformers for ABSA Task in Low-Resource Languages
LSTM	Enhancing Explainability in Predictive Maintenance: Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness Predictive model using multivariate analysis and LSTM to assess mining pipeline thickness for corrosion degradation An Interpretable Transformer Model for Operational Flare Forecasting [#2]
Lung and Colon Cancer	Lung and Colon Cancer Histopathological Image Classification Using 1D Convolutional Channel-based Attention Networks
Lung and Colon Cancer Using Deep Learning	Lung and Colon Cancer Histopathological Image Classification Using 1D Convolutional Channel-based Attention Networks
Lung Cancer	Lung and Colon Cancer Histopathological Image Classification Using 1D Convolutional Channel-based Attention Networks
M
machine	An Interpretable Transformer Model for Operational Flare Forecasting [#2]
machine learning	Machine learning prediction of severity and duration of hypoglycemic events in type 1 diabetes patients Authorship Attribution of English Poetry using Sentiment Analysis A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems [#33] Your Brain on STEM Video Lessons: Exploring Neurophysiological Pat-terns and Educational Engagement to Video Content [#28] Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia [#21] Advancing Precision Healthcare Analytics: Machine Learning Approaches for Diabetes Prognosis using the PIMA Indian Dataset [#17] Good Apples / Bad Apples: Detection and classification of damage [#8] CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7] Severe Weather Forecasting via the Sole Use of Satellite Data [#6] Hands-On Introduction to Quantum Machine Learning Challenges and Opportunities of AI/ML and Autonomy for the Navy
Machine Learning Application	Pulmonary Disease Classification on Electrocardiograms Using Machine Learning [#4] Predicting Solar Energy Output On Meteorological Time-Series Data Using Machine Learning [#40] Aircraft Engine Remaining Useful Life Prediction Using Machine Learning [#39]
Malware	Multimodal and Explainable Android Adware Classification Techniques
Malware classification	DeepGray: Malware Classification Using Grayscale Images with Deep Learning
Malware Forensics	Knowledge-infused and Explainable Malware Forensics
MARL	Reinforcement Learning Agents with Generalizing Behavior [#32]
matching	Effects of Matching on Measurements of Accuracy, Fairness, and Fairness Impossibility
Mathematica Theory of Categorization	On Softs Sets and Formal Concept Analysis (FCA) as mathematical categorization systems - An Engineering Application
mathematical formalization	Decoding Complexity: A Mathematical Framework for Enhanced Translation Comprehension
Medical Applications	The Evolution of AI: How Medical Applications Have Stimulated and Guided the Field
Medicine	Pulmonary Disease Classification on Electrocardiograms Using Machine Learning [#4]
Mental health	Towards Youth Mental Health Support: Developing a Prototype AI Counselor [#31]
meteorology	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
Microfluidic	Fluid Path Detection Model for Lab on a Chip Images Using Deep Learn-ing-Based Segmentation Approach
military training	Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization Training Reinforcement Learning Agents to React to an Ambush for Military Simulations [#36]
Minimum Message Length (MML)	A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture
Minimum Weighted Vertex Cover	Constraint Composite Graph-Based Weighted CSP Solvers: An Empirical Study
Minkowski distance	Enhancing Nearest Neighbor Classification Performance through Dynamic Time Warping with Progressive Penalty [#30]
Minorization-Maximization (MM)	A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework
Mistral	War of Words: Harnessing the Potential of Large Language Models and Retrieval Augmented Generation to Classify, Counter and Diffuse Hate Speech
Mixture model	Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture
mixture model clustering	A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework
ML	Moving to Advanced Research on Human Machine Interface Design [#26]
Mobile Fog AI	Mobile Fog AI for Internet of BattleField Things (IoBT) [#34]
Mobile Robots	Perception Model for Mobile Robots Assisting Humans in Decision-Making during Complex Situations [#11]
Mode collapse	Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection
model compression	Beyond Size and Accuracy: The Impact of Model Compression on Fairness
Moise	Automated Mapping Tool from Moise+ to Colored Petri Nets [#43]
monitoring	Autonomous Underwater Robot for Water Quality Measurement of Northwest Pennsylvania Lakes [#37]
MS-LSTM	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
MS-RNN	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
Multi-agent Reinforcement Learning	Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Deci-sions with Expertise-Informed Tasks
Multi-agent System	Initial Goal Allocation for Multi-agent Systems
Multi-agent systems	Model for Knowledge Transfer in Agent Organizations: A Case Study on Moise+ Leveraging Organizational Hierarchy to Simplify Reward Design in Cooperative Multi-agent Reinforcement Learning [#9]
multi-class	Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age
Multi-Class Classification	Enhanced Multi-Class Detection of Fake News
Multi-head attention	Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Deci-sions with Expertise-Informed Tasks
multi-head self attention	Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning
Multi-objective Optimization	Terrain-Aware Military Planning Agents [#19]
Multi-robot systems	On GAN-based Data Integrity Attacks Against Robotic Spatial Sensing Matching-based Coalition Formation for Multi-robot Task Assignment Under Partial Uncertainty
Multi-target tracking	The Dynamic Anchoring Agent: A Probabilistic Object Anchoring Framework for Semantic World Modeling
Multiagent	Automated Mapping Tool from Moise+ to Colored Petri Nets [#43]
Multimodal	Multimodal and Explainable Android Adware Classification Techniques
multimodal fusion	Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion
Multinomial Nested Dirichlet Mixture (MNDM)	A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture
Multivariate Analysis	Predictive model using multivariate analysis and LSTM to assess mining pipeline thickness for corrosion degradation
N
Named Entities recognition	Bridging the Gap: A Comprehensive Study on Named Entity Recognition in Electronic Domain using Hybrid Statistical and Deep Knowledge Transfer
named entity detection	How did an election fraud narrative spread online? Testing theories using Artificial Intelligence [#25]
Natural Language Processing	Bridging the Knowledge Gap: Improving BERT models for answering MCQs by using Ontology-generated synthetic MCQA Dataset Analysis of word embeddings with Graph-Based Context Adaptation for Enhanced Word Vectors Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora Abstractive Text Summarization Based on Neural Fusion Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data Enhancing Biomedical Knowledge Representation Through Knowledge Graphs Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental Plan Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study War of Words: Harnessing the Potential of Large Language Models and Retrieval Augmented Generation to Classify, Counter and Diffuse Hate Speech What Matters in Irony Detection: An Extended Feature Engineering for Irony Detection in English Tweets.
Natural Language Processing (NLP)	Enhanced Multi-Class Detection of Fake News
Navigation	Teaching Robots To "Get It Right"
Navmesh	Training Reinforcement Learning Agents to React to an Ambush for Military Simulations [#36]
Navy	Challenges and Opportunities of AI/ML and Autonomy for the Navy
Nearest Neighbor	Enhancing Nearest Neighbor Classification Performance through Dynamic Time Warping with Progressive Penalty [#30]
Negative Side Effects	Minimizing Negative Side Effects in Cooperative Multi-Agent Systems Using Distributed Coordination
network analysis	How did an election fraud narrative spread online? Testing theories using Artificial Intelligence [#25]
Neural Congruency	Your Brain on STEM Video Lessons: Exploring Neurophysiological Pat-terns and Educational Engagement to Video Content [#28] Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia [#21]
Neural Network	Predictive model using multivariate analysis and LSTM to assess mining pipeline thickness for corrosion degradation
Neural Networks	Neural Network Hardware Acceleration
News opinion	POLOR: Leveraging Contrastive Learning to Detect Political Orientation of Opinion in News Media
NLP	Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age Beyond Binary: Revealing Variations in Islamophobic Content with Hierarchical Multi-Class Classification
NLP Cluster	An NLP Cluster Analysis of AI Ethics Syllabi [#38]
Node Anomaly	Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams
nonmonotonic reasoning	A Partial MaxSAT Approach to Nonmonotonic Reasoning with System W
novelty search	Using Genetic Algorithms to Automate Scenario Generation and Enhance the Training Value of Serious Games for Adaptive Instruction
nowcasting	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
NP-Complete	Shortest Walk in a Dungeon Graph
O
object detection	Knowledge Distillation for a Domain-Adaptive Visual Recommender System
Online Education	Your Brain on STEM Video Lessons: Exploring Neurophysiological Pat-terns and Educational Engagement to Video Content [#28]
Ontologies	Enhancing Biomedical Knowledge Representation Through Knowledge Graphs
Ontology	Terrain-Aware Military Planning Agents [#19]
operational	An Interpretable Transformer Model for Operational Flare Forecasting [#2]
opinion identification	Opinion Identification using a Conversational Large Language Model [#35]
optimization	Optimizing Dynamic Airlift Operations: Winning Strategies in the AFRL Airlift Challenge [#41] Informed Traffic Signal Preemption for Emergency Vehicles
organization	Automated Mapping Tool from Moise+ to Colored Petri Nets [#43]
Organizational hierarchy	Leveraging Organizational Hierarchy to Simplify Reward Design in Cooperative Multi-agent Reinforcement Learning [#9]
Organizational Models of Agents	Model for Knowledge Transfer in Agent Organizations: A Case Study on Moise+
P
paradox of AI explainability	Human Cognition for Mitigating the Paradox of AI Explainability: A Pilot Study on Human Gaze-based Text Highlighting [#16]
Parallel multi-head attention mechanisms	Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
Parse tree derived features	Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora
parsing	Using Earley Parser for Verification of Totally Ordered Hierarchical Plans
Partial Alternatives	Preference Reasoning Under Partial Alternatives
partial maxsat problem	A Partial MaxSAT Approach to Nonmonotonic Reasoning with System W
Particle Filter	Perception Model for Mobile Robots Assisting Humans in Decision-Making during Complex Situations [#11]
PDDL+ planning	The Impact of PDDL+ Language Features on Planning Performance: An Empirical Analysis On a Real-World Case Study [#3]
Perception	Perception Model for Mobile Robots Assisting Humans in Decision-Making during Complex Situations [#11]
Personalized PageRank	Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams
Petri net	Automated Mapping Tool from Moise+ to Colored Petri Nets [#43]
Phonetics	Dementia Detection with Phonetic and Phonological Features [#13]
Phonology	Dementia Detection with Phonetic and Phonological Features [#13]
plan verification	Using Earley Parser for Verification of Totally Ordered Hierarchical Plans
planning	Handling Empty Decomposition Methods in Hierarchical Planning
poetry	Authorship Attribution of English Poetry using Sentiment Analysis
Policy	Reinforcement Learning Agents with Generalizing Behavior [#32]
Political orientation	POLOR: Leveraging Contrastive Learning to Detect Political Orientation of Opinion in News Media
Portuguese Language	The Impact of Data Augmentation on the Hate Speech Detection in Portuguese Language
positive predictive value	Effects of Matching on Measurements of Accuracy, Fairness, and Fairness Impossibility
Prediction	Predictive model using multivariate analysis and LSTM to assess mining pipeline thickness for corrosion degradation An Interpretable Transformer Model for Operational Flare Forecasting [#2]
Predictive Maintenance	Enhancing Explainability in Predictive Maintenance: Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness
predictive model	Machine learning prediction of severity and duration of hypoglycemic events in type 1 diabetes patients
Preemption	Informed Traffic Signal Preemption for Emergency Vehicles
Preference Reasoning	Preference Reasoning Under Partial Alternatives
Preferences	Intrinsic Prioritization in Answer Set Programming Based on an Adapted Notion of Tolerance Preference Reasoning Under Partial Alternatives
Preprocessing	Enhancing Explainability in Predictive Maintenance: Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness
Principal Component Analysis	Predictive model using multivariate analysis and LSTM to assess mining pipeline thickness for corrosion degradation
prioritization	Intrinsic Prioritization in Answer Set Programming Based on an Adapted Notion of Tolerance
Probabilistic Anchoring	The Dynamic Anchoring Agent: A Probabilistic Object Anchoring Framework for Semantic World Modeling
Probabilistic Graphical Models	Efficient Detection of Exchangeable Factors in Factor Graphs An Introduction to Probabilistic Graphical Models
Probabilistic relational models	Efficient Detection of Exchangeable Factors in Factor Graphs
probative value	Determining Legal Relevance with LLMs using Relevance Chain Prompting
Procedural Generation	Shortest Walk in a Dungeon Graph
Prognostic	Enhancing Explainability in Predictive Maintenance: Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness
Programming	AI Tutor: Student’s Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation [#20]
prompting	Opinion Identification using a Conversational Large Language Model [#35]
pruning	Beyond Size and Accuracy: The Impact of Model Compression on Fairness
Pulmonology	Pulmonary Disease Classification on Electrocardiograms Using Machine Learning [#4]
Q
QCNN	Improving Axial-Attention Network via Cross-Channel Weight Sharing
Qualitative Spatial and temporal reasoning	On Clustering in Qualitative Spatial and Temporal Reasoning
quantization	Beyond Size and Accuracy: The Impact of Model Compression on Fairness
Quantum	Hands-On Introduction to Quantum Machine Learning
QuatE	Improving Axial-Attention Network via Cross-Channel Weight Sharing
Quaternion	Improving Axial-Attention Network via Cross-Channel Weight Sharing
Question generation	Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
R
Radar signal classification	TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
RAG	TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG)
ranking functions	Intrinsic Prioritization in Answer Set Programming Based on an Adapted Notion of Tolerance
Ray casting	Training Reinforcement Learning Agents to React to an Ambush for Military Simulations [#36]
Reading disorders	Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia [#21]
Reasoning	Image Interpretation Confusion Resolution by Collaboration [#23]
Reasoning Under Uncertainty	Preference Reasoning Under Partial Alternatives
Recurrent Neural Network	Predicting Solar Energy Output On Meteorological Time-Series Data Using Machine Learning [#40]
Recurrent neural networks	TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
Reinforcement Learning	LLM Augmented Hierarchical Agents Learning Cohesive Behaviors Across Scales for Competitive Agents Training Reinforcement Learning Agents to React to an Ambush for Military Simulations [#36] Reinforcement Learning Agents with Generalizing Behavior [#32] Intelligent Prevention of DDoS Attacks using Reinforcement Learning and Smart Contracts [#14]
relevance chain	Determining Legal Relevance with LLMs using Relevance Chain Prompting
Remaining Useful Life	Enhancing Explainability in Predictive Maintenance: Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness
RepAA	Improving Axial-Attention Network via Cross-Channel Weight Sharing
representational networks	Improving Axial-Attention Network via Cross-Channel Weight Sharing
Reproducibility	Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing [#1]
resource allocation	Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools
Responsible AI	Evolution of Norms for a Trustworthy AI Society and Our Responsibilities and Roles AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities [#27] A Scoping Review of Transparency and Explainability in AI Ethics Guidelines
Retrieval Augmented Generation	TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG)
Retrieval-Augmented Generation	War of Words: Harnessing the Potential of Large Language Models and Retrieval Augmented Generation to Classify, Counter and Diffuse Hate Speech
Reward engineering	Leveraging Organizational Hierarchy to Simplify Reward Design in Cooperative Multi-agent Reinforcement Learning [#9]
Robotics	Teaching Robots To "Get It Right"
S
sample efficient reinforcement learning	Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning
satellite data	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
satellite telemetry	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
segmentation	Fluid Path Detection Model for Lab on a Chip Images Using Deep Learn-ing-Based Segmentation Approach
Semantic Localization	Perception Model for Mobile Robots Assisting Humans in Decision-Making during Complex Situations [#11]
Semantic world modeling	The Dynamic Anchoring Agent: A Probabilistic Object Anchoring Framework for Semantic World Modeling
Semantic-enrichment	Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing [#1]
sensors	Autonomous Underwater Robot for Water Quality Measurement of Northwest Pennsylvania Lakes [#37]
sentiment analysis	Authorship Attribution of English Poetry using Sentiment Analysis
sequence recommendation	Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems [#33]
Sets	StrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets
severe weather	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
Sexual assault prevention	Augmenting Training Data for a Virtual Character Using GPT-3.5 [#10]
Shortest Walk	Shortest Walk in a Dungeon Graph
Simulation	Reinforcement Learning Agents with Generalizing Behavior [#32] Moving to Advanced Research on Human Machine Interface Design [#26]
Simulator	Informed Traffic Signal Preemption for Emergency Vehicles
smart contracts	Intelligent Prevention of DDoS Attacks using Reinforcement Learning and Smart Contracts [#14]
Smart home control	Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition [#5]
Smart Manufacturing	Hybrid Cyber-Physical Intrusion Detection System for Smart Manufacturing
social identity theory	How did an election fraud narrative spread online? Testing theories using Artificial Intelligence [#25]
social media	Twitter User Account Classification to Gain Insights into Communication Dynamics and Public Awareness During Tampa Bay's Red Tide Events How did an election fraud narrative spread online? Testing theories using Artificial Intelligence [#25] Government Health Communication During the COVID-19 Pandemic: A BERT Topic Modeling Approach [#24] Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age Beyond Binary: Revealing Variations in Islamophobic Content with Hierarchical Multi-Class Classification
Social Models	Game Theoretic Analysis of the Feedback Loop Caused by Widely Available Computer Estimation on Market Values [#22]
Social-Technical	Enhancing Biomedical Knowledge Representation Through Knowledge Graphs
Socio-technical approach	Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing [#1]
Soft Set	On Softs Sets and Formal Concept Analysis (FCA) as mathematical categorization systems - An Engineering Application
solar	An Interpretable Transformer Model for Operational Flare Forecasting [#2]
Solar Energy	Predicting Solar Energy Output On Meteorological Time-Series Data Using Machine Learning [#40]
Solar Flares	Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods
Speech emotion recognition	TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
Spoken transcriptions and written text	Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora
SQuAD-v1.1 dataset	Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
Squeeze and Excitation Network	Lung and Colon Cancer Histopathological Image Classification Using 1D Convolutional Channel-based Attention Networks
statistical matching	Effects of Matching on Measurements of Accuracy, Fairness, and Fairness Impossibility
statistics	Bridging the Gap: A Comprehensive Study on Named Entity Recognition in Electronic Domain using Hybrid Statistical and Deep Knowledge Transfer
Structural Causal Model	Causal Unit Selection using Tractable Arithmetic Circuits
Synthesis	Lattice-Based Generation of Euclidean Geometry Figures
Synthetic Data	Using Data Synthesis to Improve Length of Stay Predictions for Patient's with Rare Diagnoses Augmenting Training Data for a Virtual Character Using GPT-3.5 [#10]
system W	A Partial MaxSAT Approach to Nonmonotonic Reasoning with System W
System Z	Intrinsic Prioritization in Answer Set Programming Based on an Adapted Notion of Tolerance
Systematic discrimination issues via AI	AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities [#27]
T
t-SNE visualization	Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection
T5 model	Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
Task allocation	Matching-based Coalition Formation for Multi-robot Task Assignment Under Partial Uncertainty
Tax	TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG)
Temporal Context	Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy
test	Automated Mapping Tool from Moise+ to Colored Petri Nets [#43]
Text Classification	Twitter User Account Classification to Gain Insights into Communication Dynamics and Public Awareness During Tampa Bay's Red Tide Events
Text Mining	Dementia Detection with Phonetic and Phonological Features [#13]
Text Summarization	Abstractive Text Summarization Based on Neural Fusion
TextBlob	Authorship Attribution of English Poetry using Sentiment Analysis
Textbook Problems	Lattice-Based Generation of Euclidean Geometry Figures
Textual Data Analysis	GCN-Based Issues Classification in Software Repository
Textual data from US presidents	Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora
Theory of Mind	Moving to Advanced Research on Human Machine Interface Design [#26]
Tiered Labeling	Twitter User Account Classification to Gain Insights into Communication Dynamics and Public Awareness During Tampa Bay's Red Tide Events
Time Series Classification	Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy
tolerance	Intrinsic Prioritization in Answer Set Programming Based on an Adapted Notion of Tolerance
tool	CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7] Automated Mapping Tool from Moise+ to Colored Petri Nets [#43]
Topic Modeling	Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data Government Health Communication During the COVID-19 Pandemic: A BERT Topic Modeling Approach [#24] AI Tutor: Student’s Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation [#20]
topographic maps	A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals
traffic simulation	The Effectiveness of Autonomous Intersections in a City [#18]
Training	Toward Automated Knowledge Discovery in Case-Based Reasoning Moving to Advanced Research on Human Machine Interface Design [#26]
Transfer Learning	DeepGray: Malware Classification Using Grayscale Images with Deep Learning Bridging the Gap: A Comprehensive Study on Named Entity Recognition in Electronic Domain using Hybrid Statistical and Deep Knowledge Transfer
transformer	StrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets An Interpretable Transformer Model for Operational Flare Forecasting [#2]
Transformer Model	Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models
Transformers	Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
translation understanding	Decoding Complexity: A Mathematical Framework for Enhanced Translation Comprehension
Transparency	A Scoping Review of Transparency and Explainability in AI Ethics Guidelines
Triage	Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental Plan
Tutorial	Ethics of AI Explained Hands-On Introduction to Quantum Machine Learning An Introduction to Probabilistic Graphical Models
U
Uncertainty	Matching-based Coalition Formation for Multi-robot Task Assignment Under Partial Uncertainty
underwater robot	Autonomous Underwater Robot for Water Quality Measurement of Northwest Pennsylvania Lakes [#37]
Unit Selection	Causal Unit Selection using Tractable Arithmetic Circuits
Unity	Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization
university administration support	Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools
Unstructured Data	StrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets
Urban Traffic Control	Informed Traffic Signal Preemption for Emergency Vehicles
V
VADER	Authorship Attribution of English Poetry using Sentiment Analysis
Vector	Analysis of word embeddings with Graph-Based Context Adaptation for Enhanced Word Vectors
versatile AI	Sharing Accountability of Versatile AI Systems: A Literature Review on the Role of Developers and Practitioners
Video Content Analysis	Your Brain on STEM Video Lessons: Exploring Neurophysiological Pat-terns and Educational Engagement to Video Content [#28]
virtual mental health counselor	Towards Youth Mental Health Support: Developing a Prototype AI Counselor [#31]
Vision-Language Models	Evaluating Vision-Language Models on the TriangleCOPA Benchmark [#42]
visual recommendation	Knowledge Distillation for a Domain-Adaptive Visual Recommender System
W
Wasserstein Distance	Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection
water quality	Autonomous Underwater Robot for Water Quality Measurement of Northwest Pennsylvania Lakes [#37]
Waypoints	Training Reinforcement Learning Agents to React to an Ambush for Military Simulations [#36]
weather forecasting	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
weather prediction	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
Weighted Constraint Satisfaction Problem	Constraint Composite Graph-Based Weighted CSP Solvers: An Empirical Study
Word Burstiness	Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data
Word Embedding	Analysis of word embeddings with Graph-Based Context Adaptation for Enhanced Word Vectors
Y
youth language styles	Towards Youth Mental Health Support: Developing a Prototype AI Counselor [#31]

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