The International FLAIRS Conference Proceedings

Current Issue

Vol. 39 No. 1 (2026): Proceedings of FLAIRS-39

Proceedings of FLAIRS-39, May 17-20, 2026, Marco Island, FL

Published: 06-05-2026

Preface

FLAIRS-39 Proceedings Preface

Chris Alvin, Ismaïl Biskri
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Committee Listings

FLAIRS-39 Program Committee

Chris Alvin
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Main Conference Invited Talks

Rethinking Education in the Age of AI

William Swartout, Benjamin Nye, Aaron Shiel, Yuqing Xing
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Explainable Neural Text Classifiers

Diana Inkpen
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AI Systems That Think, Team, and Fight A New Paradigm for Defense

Svitlana Volkova
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Special Track Invited Talks

AI You Can Trust Communication-Aware, Ambiguity-Sensitive, and Interpretable NLP for High-Stakes Domains

Bonnie J. Dorr, Chathuri Jayaweera, Sangpil Youm, Shlok Gilda
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Online Harm Moderation Evolution and Perspectives (FLAIRS-38 ANLP Invited Talk)

Richard Khoury
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Tutorials

Game Theory and Reinforcement Learning Two Perspectives, One Frontier

Prithviraj Dasgupta
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Words As Weapons Breaking AI and Agents; Then Securing Them

Pavan Reddy
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Hardware Acceleration for Deep Learning Present Limits and Future Directions

David Bisant
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Main Track

ACE-TA An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring

Himanshu Tripathi, Charlotte Crowell, Kaley Newlin, Subash Neupane, Shahram Rahimi, Jason Keith
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ASP∀ An Open Educational Resource for Answer Set Programming

Joshua T. Guerin, David Gonzalez Sua, Jackson Madsen
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Botox Detection and Face Analytics Using Deep Learning

Audison Beaubrun, Gabriella Pangelinan, Michael King
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Bridging Expectation Signals LLM-Based Experiments and a Behavioral Kalman Filter Framework

Yu Wang, Xiangchen Liu
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Comparative Study of Different Learning Paradigms for Zero-Shot Sentiment Analysis of the Low-Resource African Language Oromo

Linrui Zhang, Qixiang Pang, Belinda Copus
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Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity

Obed Amo, Samit Ghosh, Markus Lange-Hegermann, Bogdan Raita, Michael Pokojovy
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A Deep Contrastive Embedding Model for Neural Congruency-Based EEG Analysis in Reading Disorders

Jacqueline Torres, Maria Theodorou, Christoforos Christoforou
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Dense Attention-Enhanced U-Net for Complex Image Segmentation Tasks

Shahariaj Mohammad Sajid, Nazmul Shahadat
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Document, Verify, Explain A Transparent Accountability Framework for Equitable Generative AI Use in Computer Science Education

Angel Rivera, Unnati Shah
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Dwell Time Estimation Using Periodic Image Captures and Deep Learning

John Butoto, Xudong Liu, Thobias Sando
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Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning

Uriel Karerwa, Thaddé Rolon-Merette, Hajar Laghmari, Katrina Sollazzo, Alejandra Ruiz Segura, Constantinos K. Coursaris, Sylvain Sénécal, Pierre-Majorique Leger, Alexander J. Karran
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Evaluating Logical Structure in Computer Programs Using LLMs

Shanti Tamang, Md Abdul Mazid Adnan, Mahmudul Islam Sajib, Vasile Rus
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Evaluating Personalized Content Using Large Language Models

Joshua Shay Kricheli, Benjamin Nye, Daniel Auerbach, Aaron Shiel, Kayla Carr, Kaelyn Ellison, William Swartout
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A Fairness-Aware Semi-Supervised Clustering Method

Cristina Maier, Cyrus Saadat, Dan Simovici
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Fast and Flexible Sampling-Based Local Replanning for Single-Query Paths in Unknown Environments

Ros Maria E. F. Stanly, Irene Ramirez, Shalini Mehra, Ayan Dutta
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Feasibility of Tiny Recursion Models for the Traveling Salesman Problem Learned Insertion and 2-opt Refinement

Alexander V Mantzaris
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Forecasting Geomagnetic Disturbances with Interpretable Deep Learning

Teja Pavan Sai Singampalli, Jason T. L. Wang, Chunhui Xu, Katherine G. Herbert
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Fragment-Based AI for Antibiotic Discovery

Chris Alvin, Adam Bess, Supratik Mukhopadhyay
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From Tokens to Ties Network and Discourse Analysis of Web3 Ecosystems

Valentina Kuskova, Dmitry Zaytsev
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FuseGO Evaluating Embedding Fusion Across Species with Unequal Encoder Capacity for Automated Protein Function Prediction

Anne Howell, Indika Kahanda
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Ghost Agents in SAT-based Models for Multi-Agent Pathfinding

Jiří Švancara, Roman Barták
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Graph-Based Modeling of Iceberg Dynamics from Synthetic Aperture Radar Imagery

Olivia Patterson, Rebecca Williams
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Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Assessed Rankings and Scoring

Anura Deshpande, Celine Cerezci, Benjamin Nye, Mark G. Core, Suvaditya Mukherjee, Joshua Shay Kricheli
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Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases

Christoph Beierle, Aron Spang, Lars-Phillip Spiegel, Jonas Haldimann
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InsightBoard An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard

Ray Chen, Christan Grant
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Integrating Large Language Models as Cognitive Agents into the GAMA Platform for Urban Mobility Simulation

Bruno Cascaes Alves, Míriam Blank Born, Marilton Sanchotene de Aguiar
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Investigating Human-Aligned Large Language Model Uncertainty

Kyle Moore, Jesse Roberts, Daryl Watson, Pamela Wisniewski
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Knowledge-Augmented Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities

Elijah Needham, Denis Ulybyshev, Ayesha Dina
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Learning General CP-nets Using Simulated Annealing

Michael Andrew Huelsman
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Learning Team Synergy from Team Composition with a Siamese Transformer

Xiaomeng Ye, Elliot Mayo, Joseph Cuthbert, Anthony Head
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Lipschitz-Regularized Critics Lead to Policy Robustness Against Transition Dynamics Uncertainty

Xulin Chen, Ruipeng Liu, Zhenyu Gan, Garrett Katz
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A Machine Learning Framework for Contractor Scope Matching Using Profile Characteristics and Work Package Vector Similarity

Pedro Fonseca, Sergei Chuprov
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A Multi-Attribute Extension of MDFT

Connor Tate, Brent Venable, David Fries
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Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images

Vaishnavi Sen, Cody Laurie, Rashida Hasan
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Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning

Yash Chaudhary, Jason Wang, Chunhui Xu, Yan Xu, Sen Zhang
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Probing Knowledge Graph Reliability and Semantic Coherence with Language Models

Yoonhyuck Woo, Julia Rayz
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A Pseudo-Boolean Formulation for Graph Database Queries

Gabriel Tiveron, Bruno César Ribas
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Quantifying Modality Contributions via Disentangling Multimodal Representations

Padegal Amit, Omkar Mahesh Kashyap, Namitha Rayasam, Nidhi Shekhar, Surabhi Narayan
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Robotic Fall Prediction with Egocentric Vision and Proprioception

Borui He, Garrett Katz, Senem Velipasalar
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S3FC Scalable Sparse Spectral Fusion Clustering for Multi-Manifold Data

Matthew T. Radice, Joshua L. Phillips
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Satellite Image Analysis Using Modified EfficientNet

Rahul Chaudhari, Nazmul Shahadat
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A Scalable Approach to Solving Simulation-Based Network Security Games

Michael Lanier, Eugene Vorobeychik
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Spatiotemporal sLORETA for Interpretable EEG Source Imaging and Binary Motor Classification

Sina Makhdoomi Kaviri, Ramana Vinjamuri
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Structural Differences Between Human and AI-Generated SQL Queries

Janka Pecuchova, Ľubomír Benko
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A Study on How Free Use of LLMs Assists Novices with Code Comprehension Tasks

Mahmudul Islam Sajib, Shanti Tamang, Jeevan Chapagain, Vasile Rus
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TOML Transistor Operations for Machine Learning A Physics-Grounded Energy Efficiency Framework

Muntaser Syed, Marius Silaghi, Sheikh Abujar, Sharun Akter Khushbu
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Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning

Thaddé Rolon-Merette, Gabriel Hardy Joseph, Alexander J. Karran, Charles Belanger, Constantinos K. Coursaris, Sylvain Sénécal, Pierre-Majorique Leger
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Towards Fair Pay and Equal Work Imposing View Time Limits in Crowdsourced Image Classification

Gordon Lim, Stefan Larson, Yu Huang, Kevin Leach
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Training Ethical Language Models via Reinforcement Learning from AI Feedback

Alden Duarte-Vasquez, Bishal Thapa, Sahar Hooshmand, Heena Rathore
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When to Measure A Multi-Agent Reinforcement Learning Approach for Efficient Tracking

Alessandro Amato, Raffaele Galliera, K. Brent Venable, Niranjan Suri
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Special Track: AI in Games, Serious Games, and Multimedia

Computational Models of Player Strategy in Roguelike Games

Chris Alvin
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Sudoku Sage Evaluating Correctness of LLM-Generated Moves as a Constraint Satisfaction Task

Aidan Gillespie, Vladimir Serov, Drew Phelps, Amr Hilal
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Special Track: AI in Healthcare Informatics

Accuracy Is Not Enough Rethinking Model Selection for Clinical Machine Learning

Moumita Kamal, Douglas A. Talbert, Nolan Patterson, Nicholas Atkins, Celia Hough
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Clinical Narratives Matter Feature-Level Fusion for Improving ICU Length-of-Stay Prediction

Noshini Islam Naina, Abu Saleh Md Tayeen, Ingrid Russell, Andrew Jung, Akin Tatoglu
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A Comparative Study of Deep Learning Architectures for Multi-Label Electrocardiogram Classification

Nicholas Kanos, Shreeshtee Dhakal, Alina Lazar
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Error Analysis of Agentic Tool-Augmented Reasoning in LLMs on NeurIPS CURE-Bench Challenge

Hilmi Demirhan, Ruize Ma, Tianqi Wang, Wlodek Zadrozny
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An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models

Khoa Pham, Jiacheng Li, Hassan S. Al Khatib, Shahram Rahimi, Noorbakhsh Amiri Golilarz, Andy Perkins
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A General Deep Learning Framework for Automatic Multi-View Facial and Nasal Landmark Detection in Clinical Photographs

Dinh Anh Tuan Tran, Minh Trieu Nguyen, Thien Bao Nguyen, Truong Thinh Nguyen
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A Human-Centered Approach to Identifying the Challenges of Automatic Generation of Clinically Comprehensible Trauma Triage Explanations

Douglas Talbert, Steve Talbert, Nicholas Atkins, Katherine Phillips, Nolan Patterson, Moumita Kamal
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Metadata Engineering Harmonizing CT Descriptors in Enterprise Imaging Systems

Augustus Scarlato
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Multi-Label Heart Disease Classification Using Electrocardiograms and Machine Learning

Ashritha Kotagiri, Xudong Liu
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Multimodal Chest Pathology Classification with Language and Image Transformers

Madhukara Kekulandara, Chamudi Abeysiriwardana, Abdeltawab Hendawi
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OncoMark A Two-Stage Gated Framework for Cancer Hallmark Detection from Biomedical Text

Adrika Zafor, Sajib Acharjee Dip, Liqing Zhang
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Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant

Muntaser Syed, Alfred Sjöqvist, Noah Sedlik, Tsing Liu
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Skull-Conditioned Facial Soft-Tissue Reconstruction Using Anatomy-First Deep Volumetric Inference

Tuan Kiet Nguyen, Minh Trieu Nguyen, Thien Bao Nguyen, Truong Thinh Nguyen
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UCMUNET Liver Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients

Kristipati Thoyajaksha Kashyap, Moturu Bhuvi, Prajwal Arun Kumar, Raviteja Thota, Lavanya Sathish RaviTeja Borra, Lina Chato
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Special Track: Applied Natural Language Processing

Domain Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance

Md Sajjad Hossain, Lin Li, Judy Perkins, John Clary, Joel Meyer, Ramon Gomez
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An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation The Case of Akuapem Twi

Kweku Andoh Yamoah, Godfred Agyapong, Kevin Scroggins, Neel Parekh, Detravious Brinkley, Chathuri Jayaweera, Shlok Gilda, Bonnie Dorr, Emmanuel Dorley
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Evaluating Synthetic Sentence Coherence Using a Large Language Model

Richard Thompson, Angelos Toutsios, Adam Pease, Mathias Kölsch, Christian Darken
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Fine-Grained Sentence-Level Propaganda Detection in News Articles

Mustafa Eren, Aneeza Shakeel, Vivek Sharma
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Generation and Validation of Configuration Management Code for Cyber Range Environments Using Large Language Models

Travis Lee, Muhammad Ismail, Jesse Roberts
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An Iterative Self-Correcting Agentic RAG System

Vinay Tiparadi, Narayan Krishnan, Chetanya Rathi, Hiren Manani, Saman Kumarawadu
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MLSD A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection

Parush Gera, Tempestt Neal
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Monitoring Therapeutic Plans and Risk Signals from Clinical Narratives in Mental Health using Natural Language Processing

Margarita Ruiz Olazar, Andrea Aguilera, Diego Ihara, Fernando Sosa, Cecilia Scales, Benjamín Barán
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Neuro-Symbolic Causal Chain Extraction from Industrial Maintenance Narratives with Hard Constraint Enforcement

Viquar Younus Mohammed
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Operationalization-Based Modeling of Software Non-Functional Requirement Relationships A Context-Aware Approach

Unnati Shah, Siba Mishra
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Propasafe-Hybrid A Text-Based Hybrid Propaganda Detection Tool

Thomas Kimmeth, Avijit Roy, Vivek Sharma
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RAMP Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models

Ella Luedeke, Natalie Spiro, Indika Kahanda, Brian Lane, Caleb Spiers, Terrie Galanti, Upulee Kanewala
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The Role of Emotions Investigating Communicative Roles in Models and Data for Emotion Recognition

Timothy Meinert, Valerio Basile, Anna Koufakou
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Spoken or Written? Multi-Level Topic Modeling and Explainable AI Visualization for Stylometry

Mina Rajaei Moghadam, Mosab Rezaei, David Koop, Maoyuan Sun, Reva Freedman
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Systematic Analysis of Tokenization Properties in Low-Resource Polysynthetic NMT

Daniel Ndayegamiye, Jesse Roberts, Benjamin Frey
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Special Track: Explainable, Fair, and Trustworthy AI

Addressing a Bias in Evaluating of Student Self-Explanations of Worked Programming Examples

Arun Balajiee Lekshmi Narayanan, Xiang Lorraine Li, Peter Brusilovsky
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Advancing Fairness and Explainability in AI for Autism Diagnosis

Davis Nguyen, Sheikh Rabiul Islam
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Explainable Hierarchical Graph Neural Networks for Structured Decision Modeling

Sirisha Velampalli, Rakesh Gamidi
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Fairness Implications of Data Minimization in Deep Collaborative Filtering

Sipei Li, Nasim Sonboli, Mehdi Elahi, Alva Couch
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Isolating LLM Lexical Bias A Curation-Free Triangulated Metric for Preference-Stage Learning

Xiaoyang Ming, Jose Hernandez, Thomas Stephan Juzek
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A Landscape of Trustworthy AI Frameworks and Metrics Mapping to the NIST AI Risk Management Framework

Marlana Hatcher, Seyed Mohammad Sanjari, Maraz Mia, Mir Mehedi Pritom
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ProtoPVAE Improving Prototype Consistency and Stability with Regularized Latent Spaces

Shiska Raut, Manfred Huber
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A Seven-Layer Lifecycle Framework for Fair, Robust, and Safe AI Guidance and a German Credit Case Study

Vahid Heydari, Kofi Nyarko
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Special Track: Human-AI Collaboration and Augmented Intelligence

AstroAid Personalized Target Down-Selection for Amateur Astronomers

Joseph Salisbury
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Do Programmers and AI See the Same Problem? Quantifying Cognitive Misalignment in Code Generation

Yi Zhang, Julia Rayz
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The Robot Maze Test An Evaluation of Situated Learning for Humans and Machine Agents

Ian Perera, Brady DeCouto, Christopher J. Bates, Matthew Johnson, Charles B. Patterson, Alec Treacy, Zoeanne McCurdy
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SAGE 0.2 LLMs for DOM Informed Internet Guidance

James Brooks, Jesse Roberts, Patrick McCloud
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Special Track: Neural Networks and Data Mining

An Approach to Dimensionality Reduction based on Contrastive Learning A Preliminary Analysis

Luigi Portinale, Giacomo Bertolazzi
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Beyond Coefficients Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models

Valentina Kuskova, Dmitry Zaytsev, Michael Coppedge
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LLM Pruning with Elastic Net Enhanced Wanda Strategy

Ayman Gharaibeh, William B. Glisson, Xiyuan Liu, Majd Z. Tahat
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Shop-The-Room A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce

Vaidyanath Areyur Shanthakumar, Clark Barnett, Vipul Mehra, Komson Chanprapan, Ravi Shankar, Tathagata Mukherjee
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When One Model Is Not Enough Twin Training for Prioritized Decisions

Gowri KN, Sirisha Velampalli, Prithvi Raj Badri
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Special Track: Security, Privacy and Ethics in AI

Approximate Decryption in Homomorphic Division and Privacy Impact

Ameerah Alsulami, Marius Silaghi
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Evaluating Mistral 7B Instruct Jailbreak Vulnerabilities

Sina Jamshidi, Hady Ahmady Phoulady, Shafika Showkat Moni
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Forgetting by Design Testing the Effectiveness of Machine Unlearning in Right to Be Forgotten Data Deletion

Jericka Guy, Chutima Boonthum-Denecke
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How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches

Terrelle Thomas, Idongesit Mkpong-Ruffin, Deidre Evans, Chutima Boonthum-Denecke
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Improving Resilience Against Cyber-attacks via Reward-Shaped Reinforcement Learning in a Network Defense Game

Prithviraj Dasgupta
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Steganography with Large Language Models Key Sensitivity Analysis

Alexander V Mantzaris, Wissam Ghantous, Haley Stinebrickner, Samira Jahangiri, Stephen Webinga
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Special Track: Semantic, Logics, Information Extraction and AI

BDI Agent-Based Access Control Reasoning for Multimodal Retrieval-Augmented Generation

Halil Yesil, Baris Tekin Tezel, Moharram Challenger
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Beyond Accuracy Performance and Behavioral Evaluation of Multimodal AI for Suspicious Aerial Traffic Monitoring

Gabriel Dietzsch, Elcio Hideiti Shiguemori
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The Effect of Decomposition Rule Modeling on the Efficiency of Hierarchical Planners

Roman Bartak, Simona Ondrčková, Kristýna Pantůčková
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JSON-LD 1.2 and Beyond Extensions for Machine Learning Data Exchange

Muntaser Syed, Marius Silaghi, Sheikh Abujar, Rwaida Alssadi, Sharun Akter Khushbu
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A Narrative-Driven Computational Framework for Clinician Burnout Surveillance

Fazel Keshtkar, Alyssa Meczkowska, Neeam Shahriar Hayder, Syed Ahmad Chan Bukhari
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On Using Domain Control Knowledge in Planning Position Paper

Lukas Chrpa, Roman Bartak
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Winning Isn't Reasoning Evaluating Iterative Reasoning Updating in Language Models

Kevin Scroggins, Kweku Yamoah, Emmanuel Dorley
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Posters

Automated IoT Threat Monitoring & Mitigation using Tiny LLMs

Vinay Tiparadi, Narayan Krishnan, Chetanya Rathi, Saman Kumarawadu
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Blockchain as a Tool for Ensuring Authenticity Combating Fake AI-Generated Content and Misinformation

Kyle Pasion
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Can LLMs Classify Vehicular Basic Safety Messages Anomalies?

Arjun Gyawali, Rakesh Das, Heena Rathore
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Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies

Hsien-Te Kao, Peter Bautista, William Dupree, Gabriel Ganberg, Jeffrey M. Beaubien, Laura Cassani, Svitlana Volkova
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Codify An Intelligent Socratic Tutoring System for Programming Education

Allan Ilyasov, Giulio Bardelli, Sebastian Torres, Fazel Keshtkar
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Collaboration on Waltz Labels can Achieve Qualitative Stereo Vision

Ben Mathew, Majed Alotaibi, Debasis Mitra, Marius Silaghi
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Counting Constraints in POMDPs based on PID Controllers

Garrett Gmeiner, Patrick Quinn, Asmaa Alqurashi, Prem Pochiraju, Mirajul Islam, Jackson Contreras, Sajina Pathak, Rwaida Alssadi, Sumana Boyapalli, Raghavendra Mallesha, Vijay Uppalapati, Javier Laboy-Jusino, Nikiraj Konwar, Muntaser Syed, Marius Silaghi
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CultIcon-Bench A Pilot Benchmark for Cultural Interpretation of Visual Icons

Rwaida Alssadi, Marius Silaghi
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Directional Relations in Complex Word Embeddings

Samira Jahangiri, Alexander Mantzaris
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Do LLMs Outperform Fine-tuned Transformers in Emotion Classification? A Case Study of Llama and RoBERTa on an Emotion Benchmark

Timothy Meinert, Anna Koufakou
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Domain-Specificity of Refusal Representations in Large Language Models

Charlie Tucker, Maikel Leon
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Emerging AI Trends A 2025-2026 Synthesis

Maikel Leon, Robert Plant
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Explaining Why Instrumental Rationality is Insufficient for Ethical Behavior

Nicolas Tardif, Frédéric Beaudoin, Clayton Peterson
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From Recommendation to Reflection Measuring Moral Value Stability in Human–AI Collaboration Using Cognitive Value Recontextualization

Waseem Samkari, Thomas Eskridge
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HARD-Xception A Hybrid Adversarially Robust Deepfake Detection Framework Using Frequency Decomposition and Feature Consistency Learning

Dhruv Vagadiya, Vaishnavi Sen, Rashida Hasan
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Improving LLM Thematic Analysis through Metric-Driven Self-Correction

Tacksoo Im, Hyesung Park
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Improving RAG/CAG Based Additional Context Retrieval from Datasets Implementations via Pokémon-themed AI Chatbot

Yeriel Rhee, Zayan Estaq, Steve Le, Cengiz Gunay
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Interactive Solution Viewers for Automated Theorem Proving

Daniel Li, Esteban Morales, Geoff Sutcliffe, Jack McKeown
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The Judge Effect in Two-Round Legal Debate on LegalBench

David Johnson, Onur Bilgin, John Licato
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The LLM-Augmented Clustering for Customer Support Ticket Triage A Comparative Study on the ABCD Dataset

Priti Sagar
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Machine Learning for Hypertension Prediction in U.S. University-Aged Students Insights from NIH All of Us Data

Deborah Asamoah, Lina Chato
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Multimodal Machine Learning for Student Retention Prediction in the College of Engineering Integrating Temporal, Textual, and Tabular Features

Kashaina Nucum
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Non-Stationary Spectral Decomposition Network for Econometric Time Series Forecasting

Nikhil Sunder
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A Preliminary Empirical Study of Large Language Models for Grading Debugging Problems in Programming Education

Qixiang Pang, Linrui Zhang, Belinda Copus, Shan Du
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A Relational Model for Fine-Grained Visual Classification

Akkhar Ulok, Atefeh Gilvari, Ziad Kobti, Sudhir Paul
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Reward-Guided Fine-Tuning of Language Models with Social Feedback

Jared Scott, Jesse Roberts
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Scalable Clinical Informatics Frameworks for AI-Enabled Assistive Systems in Mental Health Care

Heather Cooper, Nelly Elsayed, Maria Kyrarini
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Scalable GNN Training for Track Finding

Bipana Bista, Sree Sai Charan Vaitla, Alina Lazar
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Seeing the Spark Before the Flame Wildfire Risk Detection via U-Nets

Jamie Boyd
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Semantic Conversational AI for Construction Cost Analytics

Sneha Ganupa, Alekhya Reddy Seelam, Vamsi Sai Kalasapudi, Sandeep Reddivari
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Semantic Length Limits in LLM Based Steganography

Haley Stinebrickner, Alexander V. Mantzaris, Wissam Ghantous
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ShZZaM An LLM+ATP Natural Language to Logic Translator

Geoff Sutcliffe, Danial Haroon
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The Submittals Agent A Hybrid Workflow for Automating Submittal Extraction from Construction Specifications

Alekhya Reddy Seelam, Sneha Ganupa, Vamsi Sai Kalasapudi, Sandeep Reddivari
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Using a Chat Interface for a Data-Driven Course Planning Wizard

Francis Bolay, Anca Doloc-Mihu, Cengiz Gunay
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