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ORCID38th FLAIRS Conference 2025: Daytona Beach, FL, USA
- Douglas A. Talbert, Ismaïl Biskri:
Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2025, Daytona Beach, FL, USA, May 20-23, 2025. Florida Online Journals 2025
Preface
- Ismaïl Biskri:
Preface.
Invited Talk Papers/Abstracts
- Stephen M. Fiore:
Social Science and Social AI: Developing Artificial Social Intelligence to Support Teams. - Mary Anne Walauskis, Taghi M. Khoshgoftaar:
Choosing the Right Metrics: A Study of Performance Measurement for Binary Classification in Imbalanced and Big Data. - Supratik Mukhopadhyay, Chris Alvin, Adam Bess:
Artificial Intelligence for Drug Discovery and Environmental Sciences. - Richard Khoury:
Online Community Modeling and Moderation.
Main Track
- Alexandre Thurow Bender
, Gabriel Almeida Gomes, Ulisses Brisolara Corrêa, Ricardo Matsumura de Araújo:
Next Sentence Prediction with BERT as a Dynamic Chunking Mechanism for Retrieval-Augmented Generation Systems. - Aaron Goldstein, Ayan Dutta:
Can Language Models Improve the Performance of SVD-based Recommender Systems? - Geoff Sutcliffe, Frédéric Blanqui, Guillaume Burel:
Proof Verification with GDV and LambdaPi - It's a Matter of Trust. - Mark G. Core, Benjamin Nye, Kayla Carr, Shirley Li, Aaron Shiel, Daniel Auerbach, Andrew Leeds, William R. Swartout:
Usability and Preferences for a Personalized Adaptive Learning System for AI Upskilling. - Sam Ganzfried:
Nonparametric Strategy Test. - Seunghyun Hong, Fatma Najar, Manar Amayri, Nizar Bouguila:
Flexible Dirichlet Mixture Model for Multi-modal data Clustering. - Mahammed Kamruzzaman, Gene Louis Kim:
The Impact of Disability Disclosure on Fairness and Bias in LLM-Driven Candidate Selection. - Adam Parker, John W. Sheppard:
Biasing Exploration towards Positive Error for Efficient Reinforcement Learning. - Ayesha Dina, Elijah Needham, Denis A. Ulybyshev:
Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities using N-Shot Learning. - Anurag Naren Kallakunta, Wlodek Zadrozny:
On the Varieties of Fractal Geometry of Word Embeddings. - Roshan Kalpavruksha, Rohan Kalpavruksha, Teryn Cha, Sung-Hyuk Cha:
Kernel Density Estimated Linear Regression. - Onur Bilgin, Abdullah As Sami, Suraj Kumar, John Licato:
Improving Multi-hop Logical Reasoning in Small LMs with LoRA Training. - Andreas H. Marpaung, David Masterson:
TradeWise: Towards Context-Aware Stock Market Predictions with Sentiment and Political Insights. - David W. Ludwig II, Joshua L. Phillips:
DNAGAST: Generative Adversarial Set Transformers for High-throughput Sequencing. - Jeevan Chapagain, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu, Peter Brusilovsky, Vasile Rus:
SelfCode 2.0: An Annotated Corpus of Student and Expert Line-by-Line Explanations of Code Examples for Automated Assessment. - Nazmul Shahadat, Shleshma Regmi, Anup Rijal:
Spatial and Channel Attention Integration with Separable Squeeze-and-Excitation Networks for Image Classifications. - Rohan Kalpavruksha, Roshan Kalpavruksha, Teryn Cha, Sung-Hyuk Cha:
Kernel Density Based Spatial Clustering of Applications with Noise. - Sam Ganzfried:
Empirical Analysis of Fictitious Play for Nash Equilibrium Computation in Multiplayer Games. - Narjes Delpisheh, Yllias Chali:
Leveraging Faithfulness in Abstractive Text Summarization with Elementary Discourse Units. - Victor Solomon, Junzhi Wen, Rafal A. Angryk, Manya Rampuria, Omkar Rayala, Abdul Afrid:
Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting. - Mohammad Hassany, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan, Arav Agarwal, Jaromír Savelka, Peter Brusilovsky:
Generating Distractors for Code Completion Problems: Can LLM Assist Instructors? - Zdravko Markov:
A New MDL-based Clustering Algorithm. - Ayesha S. Dina, Colby Jacob Edell, Karim O. Elish, Arijet Sarker:
FSProtoTransfer: Synergizing Few-Shot, Prototypical Networks, and Transfer Learning for Intrusion Detection in VANETs. - Laxmi Kanta Poudel, Kshtiz Aryal, Rajendra Bahadur Thapa, Sushil Poudel:
From KL Divergence to Wasserstein Distance: Enhancing Autoencoders with FID Analysis. - Amir Toliyat, Elena Filatova, Ronak Etemadpour:
Inter-Annotator Agreement and Its Reflection in LLMs and Responsible AI.
Posters
- Keith Brawner, Roy Wall:
Technologies To Fully Generate A Synthetic Training Experience. - Ly Dinh, Loni Hagen, Lingyao Li, Marlena Bolton, Courtney Weber, George W. Burruss:
SeniorSafeAI: LLM-based Chatbot to Assist Senior Citizen Victims of Cybercrime. - Anh Tang, Anca Doloc-Mihu:
Artificial Intelligence Workshop: Introducing AI Concepts Using Neural Style Transfer. - Sara Zuiran, Rwaida Alssadi, Jolie Elliott, Phi Duong, Chinedum Ajabor, Alwaleed Alsaleemi, Samuel Boddepalli, Vamshi Gattikoppula, Pavan Manigandla, Marius Silaghi:
Integrating POMDP Models with PID Controllers with Application to Counting Doors on a Corridor. - Sangameshwar Patil, Ajay Phade, Alok Kumar:
NewsCube: A Multi-Dimensional HyperCube Representation for Interactive Exploration of Enterprise News Corpora. - Sarah Dumnich, Britton Wolfe:
Wait a Second! How Delays Disrupt Optimal Policies. - Iram Wajahat, Fazel Keshtkar, Syed Ahmad Chan Bukhari:
Integrating Machine Learning and Pathway Analysis for Precision Medicine in Type 2 Diabetes: Predictive Modeling and Therapeutic Target Identification. - Cengiz Günay, Jonathan Tran:
Using Retrieval vs. Cache Augmented Generation for a Pok'emon Chatbot. - Pallas-Athena Cain, Janyl Jumadinova, Heather Brand:
Am.I.: Investigating AI Bias, Expression, and Humanities Through GPT-Powered Robotics. - Victoria Grasso, Andreas H. Marpaung:
Classifying Spotify Song Trends with SoundSoar: Machine Learning Insights for Content Creation and Marketing - Exploring Musical Streaming Patterns Through Machine Learning. - Nelly Elsayed, Zag ElSayed, Ahmed Abdelgawad:
DoS and DDoS Attack Detection in IoT Infrastructure using Xception Model with Explainability. - Loni Hagen, Alina Hagen, Daniel Tafmizi, Christopher Reddish, Ashely Fox, Lingyao Li, Nicolau DePaula:
Human and AI Alignment on Stance Detection - A Case Study of the United Healthcare CEO Assassination. - Jinhwi Lee, Teryn Cha, Sung-Hyuk Cha:
Facial Expression and Pose Recommender System Using Stereotypical Trait Identification. - Sirisha Velampalli:
Balancing Innovation and Tradition: Real-Time, Interactive Learning with LightRAG and Dual-Factor PageRank. - Linrui Zhang, Belinda Copus:
Sentiment Analysis for the African Language Twi: Translation-based vs. End-to-End Approaches. - Ben Mathew, Akram Alghanmi, Marius Silaghi:
Extended Waltz Operators for Collinear Edges. - Christoforos Christoforou, Timothy C. Papadopoulos:
Single-trial Neural Congruency: Paving the Way towards Single-trial EEG Analysis in Dyslexia research. - Cengiz Günay, Krishan Bhalsod:
Applying a Machine Learning Method to Detect Changing Neuronal Activity in Seizure Disorders. - Fazel Keshtkar, Sebastian Chalarca, Giulio Bardelli, Allan Ilyasov, Sebastian Torres, Syed Ahmad Chan Bukhari:
AI Tutor: Transforming Education with Intelligent Learning. - Tammy Babad-Falk, Soon Ae Chun:
Public Opinion Classification on Government Policy Using Social Media: An Exploration of ChatGPT's Capabilities and Limitations. - Jacob Collier-Tenison, Ian Walker, Gabriel J. Ferrer:
Applying and Verifying a Small Language Model on Inexpensive Hardware. - Cengiz Günay, Niecia Say:
A Course Planning Wizard based on Markov Decision Process. - Maikel León:
GAIL: Enhancing Student Engagement and Productivity. - Xing Xu:
Efficient causation on reasoning, discovery and counterfactuals.
Tutorials
- Pavan Reddy:
Breaking Machine Learning Models with Adversarial Attacks and its Variants. - Wlodek Zadrozny:
Large Language Models (LLMs) and Causality Extraction from Text - Tutorial at FLAIRS-38. - Muhammad Ismail, Huan-Hsin Tseng, Samuel Yen-Chi Chen:
Hands-On Introduction to Quantum Machine Learning. - David Bisant:
An Introduction to Neural Networks.
Special Track: AI for Urban Traffic Control and Mobility)
- Andrii Nyporko, Lukás Chrpa, Matyás Svadlenka:
Analysing Routes Generated by Planning-based Centralised Traffic Routing. - Francesco Percassi, Mauro Vallati:
Automated Planning for Urban Traffic Control with LLM-Generated Configurations.
Special Track: AI in Healthcare Informatics
- Zag ElSayed, Nelly Elsayed, Ahmed Abdelgawad:
CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by Cryptojacking prevention Models. - Omar Gasmann, Nazmul Shahadat:
Enhanced Feature Selectivity in MobileNetV2 for Skin Cancer Detection through Scaled Dot-Product Attention. - Douglas A. Talbert, Katherine L. Phillips:
Machine Learning for Just-In-Time Adaptive Mental Health Interventions Using Smartwatch Data. - Favio Salinas, Marvin Agristean, Sobhan Moazemi, Steven Kessler, Bastian Dewitz, Hug Aubin, Artur Lichtenberg, Falko Schmid:
Challenges in Imputation of ICU Time-Series Data: A Comparison of Classical and Machine Learning Approaches. - Sahil Mahey, Hamid Usefi:
Incorporating Wave-ViT for Breast Cancer Diagnosis Using MRI Imaging. - Ran Hu, Rashmie Abeysinghe, Gorbachev Jowah, Shiqiang Tao, Samden D. Lhatoo, Guo-Qiang Zhang, Licong Cui:
Identifying Developmental Intellectual Disability as a SUDEP Risk Marker from Epilepsy Monitoring Unit Reports Using Large Language Models.
Special Track: Applied Natural Language Processing
- Joseph P. Salisbury:
Enhancing Expressiveness in Vocal Conversational Agents through Large Language Model-Generated Speech Synthesis Markup Language. - Joseph P. Salisbury, David M. Huberdeau:
Large Language Models for Automated Grading and Synthetic Data Generation in Communication-Based Training Assessment. - Lubomir Ivanov:
Sentiment Polarity as a Stylistic Feature for Attribution of English Prose. - Dmitry G. Zaytsev, Valentina V. Kuskova:
State of the Art in "AI and Democracy" Research: Bridging Academic Interests & Public Concerns. - Matthew Boraske, Richard Burns:
Context is Key: Aligning Large Language Models with Human Moral Judgments through Retrieval-Augmented Generation. - Allan Duarte Ehlert, Júlia da Rocha Junqueira, Larissa Astrogildo de Freitas, Ulisses Brisolara Corrêa:
A Review of Recent Advances on Automatic Question Generation for the Portuguese Language. - Sameer Neupane, Jeevan Chapagain, Nobal B. Niraula, Diwa Koirala:
Generative AI for Named Entity Recognition in Low-Resource Language Nepali. - Yegin Genc, Gonca Altuger-Genc, Akin Tatoglu:
In Search of a Lightweight "Good Enough" Offline Generative AI for Mobile Robots: Performance Benchmarking. - Marco Carvalho, Fitzroy Nembhard, Dhanish Mehta:
Towards the Application of GraphRAG to Network Security. - Oliver Bonham-Carter:
An Efficient Text Analysis Tool for Streamlining Literature Reviews - Text Analysis To Streamline Literature Reviews. - Jose Della Sala:
Technical Customer Service Support with RAG Fine Tuned LLaMA 3. - Vivek Sharma, Mohammad Mahdi Shokri, Sarah Ita Levitan, Elena Filatova, Shweta Jain:
Analysis of Propaganda in Tweets From Politically Biased Sources. - Vincent Qin:
Classifying the Emotional Polarity of Digital Communications Using Large Language Models. - Siddharth Tumre, Sumit Koundanya, Shubham Kumbhar, Sangameshwar Patil:
Aligning LLMs to Improve Specificity of Preventive Action Recommendations for Industrial Safety. - Guilherme Lima, Émerson Lopes, Henry Pereira, Marilia A. Silveira, Larissa A. de Freitas, Ulisses Brisolara Corrêa:
Generative Models for Multiple-Choice Question Answering in Portuguese: A Monolingual and Multilingual Experimental Study.
Special Track: Autonomous Robots and Agents
- Bhaskar Trivedi, Manfred Huber:
An Intention-Aware Agent Framework for Multi-Agent Decentralized Partially Observable Environments. - Kristýna Pantucková, Roman Barták:
Hierarchical Plan Repair via Plan Recognition and Plan Correction.
Special Track: Explainable, Fair, and Trustworthy AI
- Lynn Vonderhaar, Timothy Elvira, Omar Ochoa:
Measuring the Impact of Scene Level Objects: A Novel Method for Quantitative Explanations. - Prateek Goel, Rosina Weber:
Measuring Interpretability: A systematic literature review of interpretability measures in artificial intelligence. - Md Nur Amin, Phil Nemeth, Alexander Jesser:
Bounded Degradation in Latent Representation Under Bias Subspace Removal. - Kuo Deng, Xiaomeng Ye, Kun Wang, Angelina Pennino, Abigail Jarvis, Yola Hall:
Fully Interpretable and Adjustable Model for Depression Diagnosis: A Qualitative Approach. - Riley Galpin, Bryce Anderson, Tom S. Juzek:
Exploring the Structure of AI-Induced Language Change in Scientific English. - Chern Chao Tai, Wesam Al Amiri, Abhijeet Solanki, Douglas A. Talbert, Nan Guo, Syed Rafay Hasan:
Towards Trustworthy AI: Analyzing Model Uncertainty through Monte Carlo Dropout and Noise Injection. - Adam Rawashdeh, Jason T. L. Wang, Katherine G. Herbert:
Explainable Artificial Intelligence in Deep Learning-Based Solar Storm Predictions.
Special Track: Navigating AI: Security, Privacy, Ethics, and Regulation
- Florian Wilhelm, Anja Pilz:
Modeling and Mitigating Gender Bias in Matching Problems: A Simulation-Based Approach with Quota Constraints. - Pavan Reddy, Aditya Sanjay Gujral:
Localizing Adversarial Attacks To Produces More Imperceptible Noise. - Lynn Vonderhaar, Timothy Elvira, Juan Ortiz Couder, Omar Ochoa:
Exploring Requirements Engineering for Machine Learning via a Product Case Study. - Ji-Hee Nam, Hun-Yeong Kwon:
A Phased Framework Proposal for the Long-Term Institutionalization of Artificial Intelligence Weapon Systems. - Vinod Kumar Ahuja, Jeremy Clark, Joshua Wurtenberg:
Impact of Artificial Intelligence on Open-Source Software Development. - Andrey Rezaev:
How to Ask the 'Right' Questions about Artificial Intelligence in Social Sciences? Human-Centered AI as a Problem and as a Solution.
Special Track: Neural Networks and Data Mining
- Reza Mansouri, Rafal A. Angryk, Kevin P. Reardon:
Exploring Solar Granulation: from IMaX/SUNRISE to DKIST. - Surya Kathirvel, Lenin Mookiah:
Medical Specialty Classification Using Large Language Models (LLMs). - Kehelwala Dewage Gayan Maduranga, Shamima Nasrin Tumpa:
Advanced Hybrid RNN Architectures for Real-time Cryptocurrency Forecasting and Strategic Trading Optimization. - Pavan Reddy, Aditya Sanjay Gujral:
Improving Neural Network Efficiency Using Piecewise Linear Approximation of Activation Functions. - Kehelwala Dewage Gayan Maduranga:
Curvature-Adaptive Learning Rate Optimizer: Theoretical Insights and Empirical Evaluation on Neural Network Training. - Aditya Majithia, Arthur Paul Pedersen, Michael Grossberg:
Convolutional Swin Encoder - A Unified Deep Learning Approach to Writer Attribute Prediction. - Aaron Alex Philip, Ziad Kobti:
RQPool: A Novel Multi-Branch Graph-Level Anomaly Detection.
Special Track: Quantum Machine Learning and Artificial Intelligence
- Babak Emami, Prajnesh Kumar, Wesley Dyk:
Benchmarking QCi's EmuCore Device for Time Series Forecasting.
Special Track: Semantic, Logics, Information Extraction and AI
- Laurent Nana, Jean Vareille, François Monin, Anca Christine Pascu:
A Knowledge Analysis of an Engineering Application Related to Sustainable Development. - Gabriel Dietzsch, Elcio Hideiti Shiguemori:
Replicating Human Perception of Proximity - Applying Neural Networks in the Monitoring of Suspicious Air Activities in Amazon. - Clayton Peterson, Marie-Catherine Deschênes:
AI Governance in Academia: Guidelines for Generative AI. - Nathan Cherry, Ziad Kobti, Chris Houser:
Creating Domain-Specific Datasets for Intelligent Environmental Feature Comparison. - Simona Ondrcková, Roman Barták, Vladislav Kubon:
On Removing Left Recursion from Totally-ordered HTN Domain Models.
Special Track: Uncertain Reasoning
- Gabriel Freedman, Francesca Toni:
Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs. - Franz Baader, Anton Claußnitzer:
Maximum Entropy Reasoning via Model Counting in (Description) Logics that Count. - Marco Wilhelm, Andre Thevapalan, Gabriele Kern-Isberner:
Integrated Use of System Z for Preferred Answer Set Programming. - Yizuo Chen, Amit Bhatia:
Modeling and Discovering Direct Causes for Predictive Models.
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