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

A
A, A	Mobile Fog AI for Internet of BattleField Things (IoBT) [#34]
Abbas, Asim	Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing [#1] Enhancing Biomedical Knowledge Representation Through Knowledge Graphs
Abdoulaye Soumana, Aboubacar	Pulmonary Disease Classification on Electrocardiograms Using Machine Learning [#4]
Abduallah, Yasser	An Interpretable Transformer Model for Operational Flare Forecasting [#2]
Abluton, Alessandro	Knowledge Distillation for a Domain-Adaptive Visual Recommender System
Adamatti, Diana	Automated Mapping Tool from Moise+ to Colored Petri Nets [#43] Model for Knowledge Transfer in Agent Organizations: A Case Study on Moise+
Adamatti, Diana Francisca	A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals
Adkins, Melvin	Twitter User Account Classification to Gain Insights into Communication Dynamics and Public Awareness During Tampa Bay's Red Tide Events
Aguiar, Marilton Sanchotene de	A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals
Ahmed, Syed Hammad	Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning
Aldreabi, Esraa	Beyond Binary: Revealing Variations in Islamophobic Content with Hierarchical Multi-Class Classification Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age
Alghamdi, Hussam	Good Apples / Bad Apples: Detection and classification of damage [#8]
Alghanmi, Akram	Image Interpretation Confusion Resolution by Collaboration [#23]
Alkhawaja, Fares	Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework
Alotabi, Majed	Game Theoretic Analysis of the Feedback Loop Caused by Widely Available Computer Estimation on Market Values [#22]
Alqadi, Reem	GCN-Based Issues Classification in Software Repository
Alqarni, Ali	Game Theoretic Analysis of the Feedback Loop Caused by Widely Available Computer Estimation on Market Values [#22]
Alrumayyan, Nafla	GCN-Based Issues Classification in Software Repository
Alshemaimri, Bader	GCN-Based Issues Classification in Software Repository
Alssadi, Zobaida	Game Theoretic Analysis of the Feedback Loop Caused by Widely Available Computer Estimation on Market Values [#22]
Alves, Bruno Cascaes	A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals
Alvin, Chris	Shortest Walk in a Dungeon Graph Lattice-Based Generation of Euclidean Geometry Figures
Amayri, Manar	Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework
Amin, Shehryar	TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG)
Aris, Tim	Terrain-Aware Military Planning Agents [#19]
Aris, Timothy	Training Reinforcement Learning Agents to React to an Ambush for Military Simulations [#36] Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization
Aris, Timothy	Reinforcement Learning Agents with Generalizing Behavior [#32] Learning Cohesive Behaviors Across Scales for Competitive Agents
Artstein, Ron	Augmenting Training Data for a Virtual Character Using GPT-3.5 [#10]
Asadizanjani, Navid	Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition [#5] TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
Avalos-Fernandez, Marta	AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities [#27] Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental Plan
Aygen, Gülşat	Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora
Ayinde, Momoreoluwa	Multimodal and Explainable Android Adware Classification Techniques
Azevedo, Roger	Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models
B
Baillargeon, Jean-Thomas	Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models
Ballinger, Christopher	Using Genetic Algorithms to Automate Scenario Generation and Enhance the Training Value of Serious Games for Adaptive Instruction Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models
Barsha, Farhat Lamia	Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection
Barták, Roman	The Effectiveness of Autonomous Intersections in a City [#18] Handling Empty Decomposition Methods in Hierarchical Planning Using Earley Parser for Verification of Totally Ordered Hierarchical Plans
Beck, Marcus	Twitter User Account Classification to Gain Insights into Communication Dynamics and Public Awareness During Tampa Bay's Red Tide Events
Beierle, Christoph	A Partial MaxSAT Approach to Nonmonotonic Reasoning with System W
Bilal, Anika	Machine learning prediction of severity and duration of hypoglycemic events in type 1 diabetes patients
Bilgin, Onur	Determining Legal Relevance with LLMs using Relevance Chain Prompting
Bisant, David	Neural Network Hardware Acceleration
Biswas, Joydeep	Teaching Robots To "Get It Right"
Blackburn, Jeremy	Beyond Binary: Revealing Variations in Islamophobic Content with Hierarchical Multi-Class Classification Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age
Boloni, Ladislau	On GAN-based Data Integrity Attacks Against Robotic Spatial Sensing
Bouguila, Nizar	Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework
Boukontar, Abderrahmane	On Clustering in Qualitative Spatial and Temporal Reasoning
Brawner, Keith	Moving to Advanced Research on Human Machine Interface Design [#26]
Brown, Eric	Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems [#33]
Bukhari, Syed Ahmad Chan	AI Tutor: Student’s Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation [#20] Advancing Precision Healthcare Analytics: Machine Learning Approaches for Diabetes Prognosis using the PIMA Indian Dataset [#17] Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing [#1] Enhancing Biomedical Knowledge Representation Through Knowledge Graphs
C
Cain, Pallas	Autonomous Underwater Robot for Water Quality Measurement of Northwest Pennsylvania Lakes [#37]
Casu, Anna	Machine learning prediction of severity and duration of hypoglycemic events in type 1 diabetes patients
Cerri, Artur Melchiori	A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals The Impact of Data Augmentation on the Hate Speech Detection in Portuguese Language
Cerveira, Arthur	Evaluating Graph Attention Networks as an Alternative to Transformers for ABSA Task in Low-Resource Languages
Cha, James	Towards Youth Mental Health Support: Developing a Prototype AI Counselor [#31]
Cha, Kyung Jin	Human Cognition for Mitigating the Paradox of AI Explainability: A Pilot Study on Human Gaze-based Text Highlighting [#16] Sharing Accountability of Versatile AI Systems: A Literature Review on the Role of Developers and Practitioners
Cha, Sung-Hyuk	Enhancing Nearest Neighbor Classification Performance through Dynamic Time Warping with Progressive Penalty [#30] Enhancing Image Classification through Exploitation of Hue Cyclicity in Convolutional Neural Networks [#29]
Cha, Teryn	Towards Youth Mental Health Support: Developing a Prototype AI Counselor [#31]
Cha, Teryn	Enhancing Nearest Neighbor Classification Performance through Dynamic Time Warping with Progressive Penalty [#30] Enhancing Image Classification through Exploitation of Hue Cyclicity in Convolutional Neural Networks [#29]
Chalarca, Sebastian	AI Tutor: Student’s Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation [#20] Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing [#1] Enhancing Biomedical Knowledge Representation Through Knowledge Graphs
Chali, Yllias	Abstractive Text Summarization Based on Neural Fusion
Chavez, Anthony	Reinforcement Learning Agents with Generalizing Behavior [#32]
Chemburkar, Ankur	Evaluating Vision-Language Models on the TriangleCOPA Benchmark [#42]
Chen, Chung-Hao	Beyond Binary: Revealing Variations in Islamophobic Content with Hierarchical Multi-Class Classification Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age
Chen, Elizabeth	Augmenting Training Data for a Virtual Character Using GPT-3.5 [#10]
Chenais, Gabrielle	Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental Plan
Chhangani, Mukul Dev	Beyond Binary: Revealing Variations in Islamophobic Content with Hierarchical Multi-Class Classification Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age
Choudhury, Moumita	Minimizing Negative Side Effects in Cooperative Multi-Agent Systems Using Distributed Coordination
Christoforou, Christoforos	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]
Chun, Soon	Towards Youth Mental Health Support: Developing a Prototype AI Counselor [#31] Enhanced Multi-Class Detection of Fake News
Cizl, Eliáš	The Effectiveness of Autonomous Intersections in a City [#18]
Cohen, Dalia	Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental Plan
Condotta, Jean-François	On Clustering in Qualitative Spatial and Temporal Reasoning
Copus, Belinda	What Matters in Irony Detection: An Extended Feature Engineering for Irony Detection in English Tweets.
Corrêa, Ulisses Brisolara	Evaluating Graph Attention Networks as an Alternative to Transformers for ABSA Task in Low-Resource Languages The Impact of Data Augmentation on the Hate Speech Detection in Portuguese Language Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
D
D'Urso, Brianna	Severe Weather Forecasting via the Sole Use of Satellite Data [#6]
Dagli, Cagri	War of Words: Harnessing the Potential of Large Language Models and Retrieval Augmented Generation to Classify, Counter and Diffuse Hate Speech
Darwiche, Adnan	Which Actions Are Always Necessary in Fully-Observable Non-Deterministic Planning? Causal Unit Selection using Tractable Arithmetic Circuits
Davids, Melissa	Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental Plan
Dehzangi, Iman	Multimodal and Explainable Android Adware Classification Techniques
Dekhili, Ghaith	Bridging the Gap: A Comprehensive Study on Named Entity Recognition in Electronic Domain using Hybrid Statistical and Deep Knowledge Transfer
DePaula, Nic	Government Health Communication During the COVID-19 Pandemic: A BERT Topic Modeling Approach [#24]
DePaula, Nic	How did an election fraud narrative spread online? Testing theories using Artificial Intelligence [#25]
Dinh, Ly	How did an election fraud narrative spread online? Testing theories using Artificial Intelligence [#25]
Doremus, Oceane	Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental Plan
Durham, Christopher	Shortest Walk in a Dungeon Graph
Dutta, Ayan	Matching-based Coalition Formation for Multi-robot Task Assignment Under Partial Uncertainty On GAN-based Data Integrity Attacks Against Robotic Spatial Sensing
E
Eberle, William	Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection
Edwards, Jahnae	How did an election fraud narrative spread online? Testing theories using Artificial Intelligence [#25]
Ekle, Ocheme Anthony	Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams
El Kouaiti, Anas	The Impact of PDDL+ Language Features on Planning Performance: An Empirical Analysis On a Real-World Case Study [#3]
Elsayed, Nelly	Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition [#5] TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
Elsayed, Zag	CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7] Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition [#5] TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
Ennajari, Hafsa	Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data
Erickson, Craig	CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7]
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Farias, Giovani	Automated Mapping Tool from Moise+ to Colored Petri Nets [#43] Model for Knowledge Transfer in Agent Organizations: A Case Study on Moise+
Feng, Andrew	Evaluating Vision-Language Models on the TriangleCOPA Benchmark [#42]
Fine-Morris, Morgan	Automatically Learning HTN Methods from Landmarks
Ford, Diego	How did an election fraud narrative spread online? Testing theories using Artificial Intelligence [#25]
Freedman, Reva	Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora
Freitas, Larissa	Evaluating Graph Attention Networks as an Alternative to Transformers for ABSA Task in Low-Resource Languages A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals The Impact of Data Augmentation on the Hate Speech Detection in Portuguese Language Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
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Gardner, Alex	Lattice-Based Generation of Euclidean Geometry Figures
Gazula, Vinay Ram	An Interpretable Transformer Model for Operational Flare Forecasting [#2]
Gehrke, Marcel	Efficient Detection of Exchangeable Factors in Factor Graphs
Geller, James	Enhanced Multi-Class Detection of Fake News
Ghadimi, Shadan	Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data
Ghazzali, Nadia	Predictive model using multivariate analysis and LSTM to assess mining pipeline thickness for corrosion degradation
Gil-Jardine, Cedric	AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities [#27] Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental Plan
Givens, Kendra	StrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets
Gomes, Gabriel	Evaluating Graph Attention Networks as an Alternative to Transformers for ABSA Task in Low-Resource Languages
Gonçalves, Eder Mateus	Automated Mapping Tool from Moise+ to Colored Petri Nets [#43] Model for Knowledge Transfer in Agent Organizations: A Case Study on Moise+
Gordon, Andrew	Evaluating Vision-Language Models on the TriangleCOPA Benchmark [#42]
Guerra-Adames, Ariel	AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities [#27]
Günther, Martin	The Dynamic Anchoring Agent: A Probabilistic Object Anchoring Framework for Semantic World Modeling
H
H. Far, Behrouz	Fluid Path Detection Model for Lab on a Chip Images Using Deep Learn-ing-Based Segmentation Approach
Habib, Mohammad Affan	TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG)
Hagen, Loni	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]
Haldimann, Jonas Philipp	A Partial MaxSAT Approach to Nonmonotonic Reasoning with System W
Harahsheh, Khawlah M.	Beyond Binary: Revealing Variations in Islamophobic Content with Hierarchical Multi-Class Classification Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age
Harrison, Caleb	Predicting Solar Energy Output On Meteorological Time-Series Data Using Machine Learning [#40]
Hartwig, Mattis	Using Data Synthesis to Improve Length of Stay Predictions for Patient's with Rare Diagnoses
Hastings, John	Toward Automated Knowledge Discovery in Case-Based Reasoning
Helgeson, Scott	Pulmonary Disease Classification on Electrocardiograms Using Machine Learning [#4]
Henning, Jonathan	Lattice-Based Generation of Euclidean Geometry Figures
Hertzberg, Joachim	The Dynamic Anchoring Agent: A Probabilistic Object Anchoring Framework for Semantic World Modeling
Hoang, Trang	Autonomous Underwater Robot for Water Quality Measurement of Northwest Pennsylvania Lakes [#37]
Honenberger, Phillip	Effects of Matching on Measurements of Accuracy, Fairness, and Fairness Impossibility
Hooper, Kerrie	An NLP Cluster Analysis of AI Ethics Syllabi [#38] A Scoping Review of Transparency and Explainability in AI Ethics Guidelines
Hu, Shuowen	Using Genetic Algorithms to Automate Scenario Generation and Enhance the Training Value of Serious Games for Adaptive Instruction Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models
Huang, Haiying	Causal Unit Selection using Tractable Arithmetic Circuits
Huelsman, Michael	Preference Reasoning Under Partial Alternatives
I
Irani, Habib	Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy
Islam, Sheikh Rabiul	Severe Weather Forecasting via the Sole Use of Satellite Data [#6] Multimodal and Explainable Android Adware Classification Techniques Knowledge-infused and Explainable Malware Forensics
Ismail, Muhammad	Hands-On Introduction to Quantum Machine Learning Hybrid Cyber-Physical Intrusion Detection System for Smart Manufacturing
Ivanov, Lubomir	Authorship Attribution of English Poetry using Sentiment Analysis
J
Jaipal, Sameer	TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG)
Jararweh, Ala	POLOR: Leveraging Contrastive Learning to Detect Political Orientation of Opinion in News Media
Jiang, Haodi	Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods DeepGray: Malware Classification Using Grayscale Images with Deep Learning
Jumadinova, Janyl	Autonomous Underwater Robot for Water Quality Measurement of Northwest Pennsylvania Lakes [#37]
Junqueira, Júlia	Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study
K
Kamal, Moumita	Beyond Size and Accuracy: The Impact of Model Compression on Fairness
Kebari, Maryam	Genetic algorithm feature selection resilient to increasing amounts of data imputation [#15]
Kern-Isberner, Gabriele	Intrinsic Prioritization in Answer Set Programming Based on an Adapted Notion of Tolerance
Keshtkar, Fazel	AI Tutor: Student’s Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation [#20] Advancing Precision Healthcare Analytics: Machine Learning Approaches for Diabetes Prognosis using the PIMA Indian Dataset [#17] Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing [#1] Enhancing Biomedical Knowledge Representation Through Knowledge Graphs
Kewley, Robert	Terrain-Aware Military Planning Agents [#19]
Khalghollah, Mahmood	Fluid Path Detection Model for Lab on a Chip Images Using Deep Learn-ing-Based Segmentation Approach
Khalid, Mutahira	Enhancing Biomedical Knowledge Representation Through Knowledge Graphs
Khan, Md Akib Zabed	Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools
Khan, Muhammad Junaid	TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG) Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning
Khatib, Tamim	On GAN-based Data Integrity Attacks Against Robotic Spatial Sensing
Kimollo, Michael	Aircraft Engine Remaining Useful Life Prediction Using Machine Learning [#39]
King, Hanna	Lattice-Based Generation of Euclidean Geometry Figures
Kitchen, Sarah	Reinforcement Learning Agents with Generalizing Behavior [#32] Learning Cohesive Behaviors Across Scales for Competitive Agents
Kobti, Ziad	Analysis of word embeddings with Graph-Based Context Adaptation for Enhanced Word Vectors
Kolen, John	Optimizing Dynamic Airlift Operations: Winning Strategies in the AFRL Airlift Challenge [#41]
Kondrakunta, Sravya	Initial Goal Allocation for Multi-agent Systems
Koresh, Caleb	Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization
Kreidl, Patrick	On GAN-based Data Integrity Attacks Against Robotic Spatial Sensing
Kuang, Jiatao	Enhancing Image Classification through Exploitation of Hue Cyclicity in Convolutional Neural Networks [#29]
Kumar, Neha Mohan	Knowledge-infused and Explainable Malware Forensics
Kumar, Rajay	Training Reinforcement Learning Agents to React to an Ambush for Military Simulations [#36] Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization Leveraging Organizational Hierarchy to Simplify Reward Design in Cooperative Multi-agent Reinforcement Learning [#9]
Kumar, T. K. Satish	Constraint Composite Graph-Based Weighted CSP Solvers: An Empirical Study
Kumar, Yulia	Growth Mindset Emojifier Multimodal App [#12]
Kumar P, Sreenivasa	Bridging the Knowledge Gap: Improving BERT models for answering MCQs by using Ontology-generated synthetic MCQA Dataset
Kurdi, M. Zakaria	Dementia Detection with Phonetic and Phonological Features [#13]
Kuroswiski, Andre	Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Deci-sions with Expertise-Informed Tasks
Kwon, Hun Yeong	Sharing Accountability of Versatile AI Systems: A Literature Review on the Role of Developers and Practitioners Evolution of Norms for a Trustworthy AI Society and Our Responsibilities and Roles
Kwon, Hun Yeong	Human Cognition for Mitigating the Paradox of AI Explainability: A Pilot Study on Human Gaze-based Text Highlighting [#16]
Këpuska, Veton	Mobile Fog AI for Internet of BattleField Things (IoBT) [#34] Perception Model for Mobile Robots Assisting Humans in Decision-Making during Complex Situations [#11]
L
Lagarde, Emmanuel	AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities [#27] Detecting Human Bias in Emergency Triage Using LLMs: Literature Review, Preliminary Study, and Experimental Plan
Lamichhane, Prajwol	Pulmonary Disease Classification on Electrocardiograms Using Machine Learning [#4]
Lamontagne, Luc	Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models
Latham, Brenden	Matching-based Coalition Formation for Multi-robot Task Assignment Under Partial Uncertainty
Lee, Changhyun	Human Cognition for Mitigating the Paradox of AI Explainability: A Pilot Study on Human Gaze-based Text Highlighting [#16] Sharing Accountability of Versatile AI Systems: A Literature Review on the Role of Developers and Practitioners
Lee, Justin M.	Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age
Lee, Pilhwa	Effects of Matching on Measurements of Accuracy, Fairness, and Fairness Impossibility
Leekha, Rohan	War of Words: Harnessing the Potential of Large Language Models and Retrieval Augmented Generation to Classify, Counter and Diffuse Hate Speech
Leon Espinosa, Maikel	Intelligent Prevention of DDoS Attacks using Reinforcement Learning and Smart Contracts [#14]
Lewandowska-Tomaszczyk, Barbara	Opinion Identification using a Conversational Large Language Model [#35]
Li, Chih-Yuan	Enhanced Multi-Class Detection of Fake News
Li, J. Jenny	Growth Mindset Emojifier Multimodal App [#12]
Li, Ruoxi	Automatically Learning HTN Methods from Landmarks
Licato, John	Determining Legal Relevance with LLMs using Relevance Chain Prompting
Liebeskind, Chaya	Opinion Identification using a Conversational Large Language Model [#35]
Lim, Ji Hun	Evolution of Norms for a Trustworthy AI Society and Our Responsibilities and Roles
Lim, Samuel	Towards Youth Mental Health Support: Developing a Prototype AI Counselor [#31]
Lisa, Fahmida Tasnim	Multimodal and Explainable Android Adware Classification Techniques
Litvinas, Matthew	Using Genetic Algorithms to Automate Scenario Generation and Enhance the Training Value of Serious Games for Adaptive Instruction
Litvinas, Matthew	Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models
Liu, Jack Yanchen	CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7]
Liu, Lixing	Leveraging Organizational Hierarchy to Simplify Reward Design in Cooperative Multi-agent Reinforcement Learning [#9]
Liu, Steven	Mobile Fog AI for Internet of BattleField Things (IoBT) [#34] Perception Model for Mobile Robots Assisting Humans in Decision-Making during Complex Situations [#11]
Liu, Xudong	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]
Liu, Yuexin	DeepGray: Malware Classification Using Grayscale Images with Deep Learning
Ludwig II, David	StrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets
Lunn, Stephanie	An NLP Cluster Analysis of AI Ethics Syllabi [#38] A Scoping Review of Transparency and Explainability in AI Ethics Guidelines
Luttermann, Malte	Efficient Detection of Exchangeable Factors in Factor Graphs
M
Machado, Ricardo	Automated Mapping Tool from Moise+ to Colored Petri Nets [#43]
Machemer, Johann	Efficient Detection of Exchangeable Factors in Factor Graphs
Maida, Anthony S.	Improving Axial-Attention Network via Cross-Channel Weight Sharing
Manikandan, Anjana	Growth Mindset Emojifier Multimodal App [#12]
Mapp, William	Effects of Matching on Measurements of Accuracy, Fairness, and Fairness Impossibility
Mathew, Ben	Image Interpretation Confusion Resolution by Collaboration [#23] Game Theoretic Analysis of the Feedback Loop Caused by Widely Available Computer Estimation on Market Values [#22]
Matsuura, Ryoma	Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods
McGroarty, Chris	Terrain-Aware Military Planning Agents [#19] Using Genetic Algorithms to Automate Scenario Generation and Enhance the Training Value of Serious Games for Adaptive Instruction Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models
McGroarty, Christopher	Learning Cohesive Behaviors Across Scales for Competitive Agents
Melo, Marla Pereira	A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals
Metsis, Vangelis	Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy
Milks, Wes	Terrain-Aware Military Planning Agents [#19]
Miyakoshi, Makoto	CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7]
Mohsenin, Tinoosh	LLM Augmented Hierarchical Agents
Monin, François	On Softs Sets and Formal Concept Analysis (FCA) as mathematical categorization systems - An Engineering Application
Moore-Pizon Jr., Thomas	Government Health Communication During the COVID-19 Pandemic: A BERT Topic Modeling Approach [#24]
Morreale, Patricia	Growth Mindset Emojifier Multimodal App [#12]
Mueen, Abdullah	POLOR: Leveraging Contrastive Learning to Detect Political Orientation of Opinion in News Media
Möller, Ralf	Using Data Synthesis to Improve Length of Stay Predictions for Patient's with Rare Diagnoses
N
Nana, Laurent	On Softs Sets and Formal Concept Analysis (FCA) as mathematical categorization systems - An Engineering Application
Nasseri, Mona	Pulmonary Disease Classification on Electrocardiograms Using Machine Learning [#4]
Nau, Dana	Automatically Learning HTN Methods from Landmarks
Ndao, Mouhamadou Lamine	Enhancing Explainability in Predictive Maintenance: Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness
Neffati, Fehmi	Twitter User Account Classification to Gain Insights into Communication Dynamics and Public Awareness During Tampa Bay's Red Tide Events
Ngo, Sophie	Lattice-Based Generation of Euclidean Geometry Figures
Ngoc Le, Tan	Bridging the Gap: A Comprehensive Study on Named Entity Recognition in Electronic Domain using Hybrid Statistical and Deep Knowledge Transfer
Nguyen Tran, Khanh Tra	Initial Goal Allocation for Multi-agent Systems
Niang, Ndeye	Enhancing Explainability in Predictive Maintenance: Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness
Nirina Avo, Antsa Nasandratra	Decoding Complexity: A Mathematical Framework for Enhanced Translation Comprehension
O
Oates, Tim	LLM Augmented Hierarchical Agents
Ola, Omolade	Effects of Matching on Measurements of Accuracy, Fairness, and Fairness Impossibility
Ondrčková, Simona	Handling Empty Decomposition Methods in Hierarchical Planning Using Earley Parser for Verification of Totally Ordered Hierarchical Plans
Oqba, Muhammad	TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG)
P
Pang, Qixiang	What Matters in Irony Detection: An Extended Feature Engineering for Irony Detection in English Tweets.
Pantůčková, Kristýna	Handling Empty Decomposition Methods in Hierarchical Planning Using Earley Parser for Verification of Totally Ordered Hierarchical Plans
Papadopoulos, Timothy C	Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia [#21]
Pascu, Anca Christine	On Softs Sets and Formal Concept Analysis (FCA) as mathematical categorization systems - An Engineering Application
Passaro, Angelo	Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Deci-sions with Expertise-Informed Tasks
Paul, Sheuli	Mobile Fog AI for Internet of BattleField Things (IoBT) [#34] Perception Model for Mobile Robots Assisting Humans in Decision-Making during Complex Situations [#11]
Pedapati, Ernie	CNN Brain Label-Maker: Automatic ICA Rejection EEG based System Architecture [#7]
Percassi, Francesco	The Impact of PDDL+ Language Features on Planning Performance: An Empirical Analysis On a Real-World Case Study [#3]
Perez, Felix	Authorship Attribution of English Poetry using Sentiment Analysis
Peterson, Clayton	Embedding Ethics Into Artificial Intelligence: Understanding What Can Be Done, What Can't, and What Is Done Ethics of AI Explained
Phillips, Joshua	StrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets
Poirier, Éric	Decoding Complexity: A Mathematical Framework for Enhanced Translation Comprehension
Polsani, Harshitha	DeepGray: Malware Classification Using Grayscale Images with Deep Learning
Polyzou, Agoritsa	Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools
Pommer, Conor	Good Apples / Bad Apples: Detection and classification of damage [#8]
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