The International FLAIRS Conference Proceedings

Current Issue

Vol. 38 (2025): Proceedings of FLAIRS-38

May 20-23, Daytona Beach, FL

Published: 14-05-2025

Preface

Preface

Ismaïl Biskri
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Committee Listings

Committee Listings

Ismaïl Biskri
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Invited Talk Papers/Abstracts

Social Science and Social AI: Developing Artificial Social Intelligence to Support Teams

Stephen M. Fiore Fiore
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Choosing the Right Metrics: A Study of Performance Measurement for Binary Classification in Imbalanced and Big Data

Mary Anne Walauskis, Taghi M. Khoshgoftaar
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Artificial Intelligence for Drug Discovery and Environmental Sciences

Supratik Mukhopadhyay, Alvin Chris, Bess Adam
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Online Community Modeling and Moderation

Richard Khoury
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Main Track

Next Sentence Prediction with BERT as a Dynamic Chunking Mechanism for Retrieval-Augmented Generation Systems

Alexandre Thurow Bender, Gabriel Almeida Gomes, Ulisses Brisolara Corrêa, Ricardo Matsumura Araujo
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Can Language Models Improve the Performance of SVD-based Recommender Systems?

Aaron Goldstein, Ayan Dutta
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Proof Verification with GDV and LambdaPi - It's a Matter of Trust

Geoff Sutcliffe, Frédéric Blanqui, Guillaume Burel
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Usability and Preferences for a Personalized Adaptive Learning System for AI Upskilling

Mark G. Core, Benjamin Nye, Kayla Carr, Shirley Li, Aaron Shiel, Daniel Auerbach, Andrew Leeds, William Swartout
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Nonparametric Strategy Test

Sam Ganzfried
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Flexible Dirichlet Mixture Model for Multi-modal data Clustering

Seunghyun Hong, Fatma Najar, Manar Amayri, Nizar Bouguila
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The Impact of Disability Disclosure on Fairness and Bias in LLM-Driven Candidate Selection

Mahammed Kamruzzaman, Gene Louis Kim
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Biasing Exploration towards Positive Error for Efficient Reinforcement Learning

Adam Parker, John W. Sheppard
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Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities using N-Shot Learning

Ayesha Dina, Elijah Needham, Denis Ulybyshev
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On the Varieties of Fractal Geometry of Word Embeddings

Anurag Naren Kallakunta, Wlodek Zadrozny
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Kernel Density Estimated Linear Regression

Roshan Kalpavruksha, Rohan Kalpavruksha, Teryn Cha, Sung-Hyuk Cha
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Improving Multi-hop Logical Reasoning in Small LMs with LoRA Training

Onur Bilgin, Abdullah As Sami, Suraj Kumar, John Licato
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TradeWise: Towards Context-Aware Stock Market Predictions with Sentiment and Political Insights

Andreas Marpaung, David Masterson
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DNAGAST: Generative Adversarial Set Transformers for High-throughput Sequencing

David W. Ludwig II, Joshua L. Phillips
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SelfCode 2.0: An Annotated Corpus of Student and Expert Line-by-Line Explanations of Code Examples for Automated Assessment

Jeevan Chapagain, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu, Peter Brusilovsky, Vasile Rus
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Spatial and Channel Attention Integration with Separable Squeeze-and-Excitation Networks for Image Classifications

Nazmul Shahadat, Shleshma Regmi, Anup Rijal
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Kernel Density Based Spatial Clustering of Applications with Noise

Rohan Kalpavruksha, Roshan Kalpavruksha, Teryn Cha, Sung-Hyuk Cha
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Empirical Analysis of Fictitious Play for Nash Equilibrium Computation in Multiplayer Games

Sam Ganzfried
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Leveraging Faithfulness in Abstractive Text Summarization with Elementary Discourse Units

Narjes Delpisheh, Yllias Chali
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Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting

Victor Solomon, Junzhi Wen, Rafal Angryk, Manya Rampuria, Omkar Rayala, Abdul Afrid
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Generating Distractors for Code Completion Problems: Can LLM Assist Instructors?

Mohammad Hassany, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan , Arav Agarwal, Jaromir Savelka, Peter Brusilovsky
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A New MDL-based Clustering Algorithm

Zdravko Markov
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FSProtoTransfer: Synergizing Few-Shot, Prototypical Networks, and Transfer Learning for Intrusion Detection in VANETs

Ayesha Dina, Colby Edell, Karim Elish, Arijet Sarker
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From KL Divergence to Wasserstein Distance: Enhancing Autoencoders with FID Analysis

Laxmi Kanta Poudel, Kshtiz Aryal, Rajendra Bahadur Thapa, Sushil Poudel
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Inter-Annotator Agreement and Its Reflection in LLMs and Responsible AI.

Amir Toliyat, Elena Filatova, Ronak Etemadpour
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Posters

Technologies To Fully Generate A Synthetic Training Experience

Keith Brawner, Roy Wall
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SeniorSafeAI: LLM-based Chatbot to Assist Senior Citizen Victims of Cybercrime

Mai Ly Dinh, Loni Hagen, Lingyao Li, Marlena Bolton, Courtney Weber, George Burruss
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Artificial Intelligence Workshop: Introducing AI Concepts Using Neural Style Transfer

Anh Tang, Anca Doloc-Mihu
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Integrating POMDP Models with PID Controllers with Application to Counting Doors on a Corridor

Sara Zuiran, Rwaida Alssadi, Jolie Elliott, Phi Duong, Chinedum Ajabor, Alwaleed Alsaleemi, Samuel Boddepalli, Vamshi Gattikoppula, Pavan Manigandla, Marius Silaghi
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NewsCube: A Multi-Dimensional HyperCube Representation for Interactive Exploration of Enterprise News Corpora

Sangameshwar Patil, Ajay Phade, Alok Kumar
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Wait a Second! How Delays Disrupt Optimal Policies

Sarah Dumnich, Britton Wolfe
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Integrating Machine Learning and Pathway Analysis for Precision Medicine in Type 2 Diabetes: Predictive Modeling and Therapeutic Target Identification

Iram Wajahat, Fazel Keshtkar, Syed Ahmad Chan Bukhari
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Using Retrieval vs. Cache Augmented Generation for a Pok´emon Chatbot

Cengiz Gunay, Jon
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Am.I.: Investigating AI Bias, Expression, and Humanities Through GPT-Powered Robotics

Pallas Athena Cain, Janyl Jumadinova, Heather Brand
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Classifying Spotify Song Trends with SoundSoar: Machine Learning Insights for Content Creation and Marketing Exploring Musical Streaming Patterns Through Machine Learning

Victoria Grasso, Andreas Marpaung
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DoS and DDoS Attack Detection in IoT Infrastructure using Xception Model with Explainability

Nelly Elsayed, Zag ElSayed, Ahmed Abdelgawad
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Human and AI Alignment on Stance Detection A Case Study of the United Healthcare CEO Assassination

Loni Hagen, Alina Hagen, Daniel Tafmizi, Christopher Reddish, Ashely Fox, Lingyao Li, Nicolau DePaula
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Facial Expression and Pose Recommender System Using Stereotypical Trait Identification

Jinhwi Lee, Teryn Cha, Sung-Hyuk Cha
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Balancing Innovation and Tradition: Real-Time, Interactive Learning with LightRAG and Dual-Factor PageRank

Sirisha Velampalli
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Sentiment Analysis for the African Language Twi: Translation-based vs. End-to-End Approaches

Linrui Zhang, Belinda Copus
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Extended Waltz Operators for Collinear Edges

Ben Mathew, Akram, Marius
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Single-trial Neural Congruency: Paving the Way towards Single-trial EEG Analysis in Dyslexia research

Christoforos Christoforou, Timothy C. Papadopoulos
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Applying a Machine Learning Method to Detect Changing Neuronal Activity in Seizure Disorders

Cengiz Gunay, Krishan
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AI Tutor: Transforming Education with Intelligent Learning

Fazel Keshtkar, Sebastian Chalarca, Giulio Bardelli , Allan Ilyasov, Sebastian Torres, Syed Ahmad Chan Bukhari
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Public Opinion Classification on Government Policy Using Social Media: An Exploration of ChatGPT’s Capabilities and Limitations

Tammy Babad-Falk, Soon Ae Chun
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Applying and Verifying a Small Language Model on Inexpensive Hardware

Jacob Collier-Tenison, Ian Walker, Gabriel Ferrer
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A Course Planning Wizard based on Markov Decision Process

Cengiz Gunay, Niecia
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GAIL: Enhancing Student Engagement and Productivity

Maikel Leon
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Efficient causation on reasoning, discovery and counterfactuals

Xing Xu
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Tutorials

Breaking Machine Learning Models with Adversarial Attacks and its Variants

Pavan Reddy
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Large Language Models (LLMs) and Causality Extraction from Text Tutorial at FLAIRS-38

Wlodek Zadrozny
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Hands-On Introduction to Quantum Machine Learning

Muhammad Ismail, Huan-Hsin Tseng, Samuel Yen-Chi Chen
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An Introduction to Neural Networks

David Bisant
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Special Track: AI for Urban Traffic Control and Mobility)

Analysing Routes Generated by Planning-based Centralised Traffic Routing

Andrii Nyporko, Lukas Chrpa, Matyas Svadlenka
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Automated Planning for Urban Traffic Control with LLM-Generated Configurations

Francesco Percassi, Mauro Vallati
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Special Track: AI in Healthcare Informatics

CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by Cryptojacking prevention Models

Zag ElSayed, Nelly Elsayed, Ahmed Abdelgawad
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Enhanced Feature Selectivity in MobileNetV2 for Skin Cancer Detection through Scaled Dot-Product Attention

Omar Gasmann, Nazmul Shahadat
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Machine Learning for Just-In-Time Adaptive Mental Health Interventions Using Smartwatch Data

Douglas Talbert, Katherine Phillips
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Challenges in Imputation of ICU Time-Series Data: A Comparison of Classical and Machine Learning Approaches

Favio Salinas, Marvin Agristean, Sobhan Moazemi, Steven Kessler, Bastian Dewitz, Hug Aubin, Artur Lichtenberg, Falko Schmid
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Incorporating Wave-ViT for Breast Cancer Diagnosis Using MRI Imaging

Sahil Mahey, Hamid Usefi
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Identifying Developmental Intellectual Disability as a SUDEP Risk Marker from Epilepsy Monitoring Unit Reports Using Large Language Models

Ran Hu, Rashmie Abeysinghe, Gorbachev Jowah, Shiqiang Tao, Samden D. Lhatoo, Guo-Qiang Zhang, Licong Cui
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Special Track: Applied Natural Language Processing

Enhancing Expressiveness in Vocal Conversational Agents through Large Language Model-Generated Speech Synthesis Markup Language

Joseph Salisbury
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Large Language Models for Automated Grading and Synthetic Data Generation in Communication-Based Training Assessment

Joseph Salisbury, David Huberdeau
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Sentiment Polarity as a Stylistic Feature for Attribution of English Prose

Lubomir Ivanov
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State of the Art in “AI and Democracy” Research: Bridging Academic Interests & Public Concerns

Dmitry Zaytsev, Valentina Kuskova
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Context is Key: Aligning Large Language Models with Human Moral Judgments through Retrieval-Augmented Generation

Matthew Boraske, Richard Burns
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A Review of Recent Advances on Automatic Question Generation for the Portuguese Language

Allan Duarte Ehlert, Júlia da Rocha Junqueira, Larissa Astrogildo de Freitas, Ulisses Brisolara Corrêa
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Generative AI for Named Entity Recognition in Low-Resource Language Nepali

Sameer Neupane, Jeevan Chapagain, Nobal B. Niraula, Diwa Koirala
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In Search of a Lightweight "Good Enough" Offline Generative AI for Mobile Robots: Performance Benchmarking

Yegin Genc, Gonca Altuger-Genc, Akin Tatoglu
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Towards the Application of GraphRAG to Network Security

Dr. Marco Carvalho, Fitzroy Nembhard, Dhanish Mehta
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An Efficient Text Analysis Tool for Streamlining Literature Reviews Text Analysis To Streamline Literature Reviews

Oliver Bonham-Carter
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Technical Customer Service Support with RAG Fine Tuned LLaMA 3

Jose Della Sala
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Analysis of Propaganda in Tweets From Politically Biased Sources

Vivek Sharma, Mohammad Mahdi Shokri, Sarah Ita Levitan, Elena Filatova, Shweta Jain
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Classifying the Emotional Polarity of Digital Communications Using Large Language Models

Vincent Qin
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Aligning LLMs to Improve Specificity of Preventive Action Recommendations for Industrial Safety

Siddharth Tumre, Sumit Koundanya, Shubham Kumbhar, Sangameshwar Patil
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Generative Models for Multiple-Choice Question Answering in Portuguese: A Monolingual and Multilingual Experimental Study

Guilherme Dallmann Lima, Emerson Lopes, Henry Pereira, Marilia Silveira, Larissa Freitas, Ulisses Corrêa
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Special Track: Autonomous Robots and Agents

An Intention-Aware Agent Framework for Multi-Agent Decentralized Partially Observable Environments

Bhaskar Trivedi, Manfred Huber
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Hierarchical Plan Repair via Plan Recognition and Plan Correction

Kristýna Pantůčková, Roman Barták
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Special Track: Explainable, Fair, and Trustworthy AI

Measuring the Impact of Scene Level Objects: A Novel Method for Quantitative Explanations

Lynn Vonderhaar, Timothy Elvira, Omar Ochoa
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Measuring Interpretability: A systematic literature review of interpretability measures in artificial intelligence

Prateek Goel, Rosina Weber
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Bounded Degradation in Latent Representation Under Bias Subspace Removal

Md Nur Amin, Phil Nemeth, Alexander Jesser
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Fully Interpretable and Adjustable Model for Depression Diagnosis: A Qualitative Approach

Kuo Deng, Xiaomeng Ye, Kun Wang, Angelina Pennino, Abigail Jarvis, Yola Hall
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Exploring the Structure of AI-Induced Language Change in Scientific English

Riley Galpin, Bryce Anderson, Tom S Juzek
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Towards Trustworthy AI: Analyzing Model Uncertainty through Monte Carlo Dropout and Noise Injection

Chern Chao Tai, Wesam Al Amiri, Abhijeet Solanki, Douglas Alan Talbert, Nan Guo, Syed Rafay Hasan
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Explainable Artificial Intelligence in Deep Learning-Based Solar Storm Predictions

Adam Rawashdeh, Jason T. L. Wang, Katherine G. Herbert
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Special Track: Navigating AI: Security, Privacy, Ethics, and Regulation

Modeling and Mitigating Gender Bias in Matching Problems: A Simulation-Based Approach with Quota Constraints

Florian Wilhelm, Anja Pilz
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Localizing Adversarial Attacks To Produces More Imperceptible Noise

Pavan Reddy, Aditya Sanjay Gujral
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Exploring Requirements Engineering for Machine Learning via a Product Case Study

Lynn Vonderhaar, Timothy Elvira, Juan Couder, Omar Ochoa
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A Phased Framework Proposal for the Long-Term Institutionalization of Artificial Intelligence Weapon Systems

Ji-Hee Nam, Hun-Yeong Kwon
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Impact of Artificial Intelligence on Open-Source Software Development

Vinod Kumar Ahuja, Jeremy Clark, Joshua WurtenBerg
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How to Ask the ‘Right’ Questions about Artificial Intelligence in Social Sciences? Human-Centered AI as a Problem and as a Solution

Andrey Rezaev
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Special Track: Neural Networks and Data Mining

Exploring Solar Granulation: from IMaX/SUNRISE to DKIST

Reza Mansouri, Rafal Angryk, Kevin Reardon
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Medical Specialty Classification Using Large Language Models (LLMs)

Surya Kathirvel, Lenin
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Advanced Hybrid RNN Architectures for Real-time Cryptocurrency Forecasting and Strategic Trading Optimization

Kehelwala Dewage Gayan Maduranga, Shamima Nasrin Tumpa
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Improving Neural Network Efficiency Using Piecewise Linear Approximation of Activation Functions

Pavan Reddy, Aditya Sanjay Gujral
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Curvature-Adaptive Learning Rate Optimizer: Theoretical Insights and Empirical Evaluation on Neural Network Training

Kehelwala Dewage Gayan Maduranga
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Convolutional Swin Encoder A Unified Deep Learning Approach to Writer Attribute Prediction

Aditya Majithia, Arthur Paul Pedersen, Michael Grossberg
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RQPool: A Novel Multi-Branch Graph-Level Anomaly Detection

Aaron Alex Philip, Dr. Ziad Kobti
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Special Track: Quantum Machine Learning and Artificial Intelligence

Benchmarking QCi's EmuCore Device for Time Series Forecasting

Babak Emami, Prajnesh Kumar, Wesley Dyk
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Special Track: Semantic, Logics, Information Extraction and AI

A Knowledge Analysis of an Engineering Application Related to Sustainable Development

Laurent NANA, Jean Vareille, François Monin, Anca C. Pascu
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Replicating Human Perception of Proximity Applying Neural Networks in the Monitoring of Suspicious Air Activities in Amazon

GABRIEL DIETZSCH, ELCIO HIDEITI SHIGUEMORI
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AI Governance in Academia: Guidelines for Generative AI

Clayton Peterson, Marie-Catherine Deschênes
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Creating Domain-Specific Datasets for Intelligent Environmental Feature Comparison

Nathan Cherry, Ziad Kobti, Chris Houser
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On Removing Left Recursion from Totally-ordered HTN Domain Models

Simona Ondrčková, Roman Barták, Vladislav Kuboň
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Special Track: Uncertain Reasoning

Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs

Gabriel Freedman, Francesca Toni
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Maximum Entropy Reasoning via Model Counting in (Description) Logics that Count

Franz Baader, Anton Claußnitzer
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Integrated Use of System Z for Preferred Answer Set Programming

Marco Wilhelm, Andre Thevapalan, Gabriele Kern-Isberner
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Modeling and Discovering Direct Causes for Predictive Models

Yizuo Chen, Amit Bhatia
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More information about FLAIRS can be found on the website, www.FLAIRS.com.