Vol. 37 (2024): Vol. 37 (2024): Proceedings of FLAIRS-37

Proceedings of FLAIRS-37, May 19-21, Sandestin Beach, FL

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In accordance with Title II regulations this content meets all points of exemption as Archived web content and/or Preexisting conventional electronic documents.

DOI: https://doi.org/10.32473/flairs.37

Published: 12-05-2024

Preface

Preface

Douglas Talbert
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Committee Listings

Committee Listings

Douglas Talbert
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Invited Talk Papers/Abstracts

Invited Talk Abstracts

Douglas Talbert
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Main Track

Matching-based Coalition Formation for Multi-robot Task Assignment Under Partial Uncertainty

Brenden Latham, Vladimir Ufimtsev, Ayan Dutta
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Improving Axial-Attention Network via Cross-Channel Weight Sharing

Nazmul Shahadat, Anthony S. Maida
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Teaching Robots to "Get It Right"

Joydeep Biswas
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Toward Automated Knowledge Discovery in Case-Based Reasoning

Sherri Weitl-Harms, John Hastings, Jay Powell
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On GAN-based Data Integrity Attacks Against Robotic Spatial Sensing

Tamim Khatib, Patrick Kreidl, Ayan Dutta, Ladislau Boloni, Swapnoneel Roy
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STrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets

Kendra Givens, David Ludwig, Joshua Phillips
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Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination

Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein
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DeepGray: Malware Classification Using Grayscale Images with Deep Learning

Haodi Jiang, Harshitha Polsani, Yuexin Liu
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Abstractive Text Summarization Based on Neural Fusion

Yllias Chali, Wenzhao Zhu
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Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection

Farhat Lamia Barsha, William Eberle
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Using LLMs for Augmenting Hierarchical Agents with Common Sense Priors

Bharat Prakash, Tim Oates, Tinoosh Mohsenin
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POLOR: Leveraging Contrastive Learning to Detect Political Orientation of Opinion in News Media

Ala Jararweh, Abdullah Mueen
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A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals

Bruno Cascaes Alves, Marla Pereira Melo, Artur Melchiori Cerri, Larissa Astrogildo de Freitas, Diana Francisca Adamatti, Marilton Sanchotene de Aguiar
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Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy

Habib Irani, Vangelis Metsis
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TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification

Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani, Zag ElSayed
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Preference Reasoning Under Partial Alternatives

Michael Huelsman
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Handling Empty Decomposition Methods in Hierarchical Planning

Simona Ondrčková, Kristýna Pantůčková, Roman Barták
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War of Words: Harnessing the Potential of Large Language Models and Retrieval Augmented Generation to Classify, Counter and Diffuse Hate Speech

Rohan Leekha, Olga Simek, Charlie Dagli
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Knowledge Distillation for a Domain-Adaptive Visual Recommender System

Alessandro Abluton, Luigi Portinale
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Lung and Colon Cancer Histopathological Image Classification Using 1D Convolutional Channel-based Attention Networks

Nazmul Shahadat
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What Matters in Irony Detection: An Extended Feature Engineering for Irony Detection in English Tweets.

Linrui Zhang, Qixiang Pang, Belinda Copus
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Lattice-Based Generation of Euclidean Geometry Figures

Jonathan Henning, Hanna King, Sophie Ngo, Jake Shore, Alex Gardner, Chris Alvin, Grace Stadnyk
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Determining Legal Relevance with LLMs using Relevance Chain Prompting

Onur Bilgin, John Licato
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On Clustering in Qualitative Spatial and Temporal Reasoning

Abderrahmane Boukontar, Jean-François Condotta, Yakoub Salhi
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Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning

Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar
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Bridging the Knowledge Gap: Improving BERT models for answering MCQs by using Ontology-generated synthetic MCQA Dataset

Sahil Sahil, P Sreenivasa Kumar
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Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data

Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila
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Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods

Haodi Jiang, Ryoma Matsuura, Jason T. L. Wang
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Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools

Md Akib Zabed Khan, Agoritsa Polyzou
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Twitter User Account Classification to Gain Insights into Communication Dynamics and Public Awareness During Tampa Bay's Red Tide Events

Andrey Skripnikov, Tania Roy, Fehmi Neffati, Melvin Adkins, Marcus Beck
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Using Earley Parser for Verification of Totally Ordered Hierarchical Plans

Kristýna Pantůčková, Simona Ondrčková, Roman Barták
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Knowledge-infused and Explainable Malware Forensics

Neha Mohan Kumar, Sheikh Rabiul Islam
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Constraint Composite Graph-Based Weighted CSP Solvers: An Empirical Study

Orazio Rillo, T. K. Satish Kumar
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Posters

Human Cognition for Mitigating the Paradox of AI Explainability: A Pilot Study on Human Gaze-based Text Highlighting

Changhyun Lee, Hun Yeong Kwon, Kyung Jin Cha
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Perception Model for Mobile Robots Assisting Humans in Decision-Making during Complex Situations

Sheuli Paul, Marius Silaghi, Veton Kepuska, Akram Alghanmi, Steven Liu
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Intelligent Prevention of DDoS Attacks using Reinforcement Learning and Smart Contracts

Emily Struble, Maikel Leon Espinosa, Erotokritos Skordilis
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Genetic algorithm feature selection resilient to increasing amounts of data imputation

Maryam Kebari, Annie S Wu
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How did an election fraud narrative spread online? Testing theories us-ing machine learning and natural language processing

Loni Hagen, Diego Ford, Jahnae Edwards, Ly Dinh, Nic DePaula, Joshua Scacco
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Enhancing Nearest Neighbor Classification Performance through Dynamic Time Warping with Progressive Constraint

Sung-Hyuk Cha, Teryn Cha, Teja Vuppu
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Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing

Asim Abbas, Sebastian Chalarca, Iram Wajahat, Fazel Keshtkar, Syed Ahmad Chan ukhari
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Aircraft Engine Remaining Useful Life Prediction Using Machine Learning

Michael Kimollo, Xudong Liu
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Towards Youth Mental Health Support: Developing a Prototype AI Counselor

Teryn Cha, James Cha, Samuel Lim, Soon Chun
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Advancing Precision Healthcare Analytics: Machine Learning Approach-es for Diabetes Prognosis using the PIMA Indian Dataset

Iram Wajahat, Fazel Keshtkar, Sayed Ahmad Chan Bukhari
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Mobile Fog AI for Internet of BattleField Things (IoBT)

Sheuli Paul, Marius Silaghi, Veton Kepuska, Akram Alghanmi, Steven Liu
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Good Apples / Bad Apples: Detection and classification of damage

Angel Star, Conor Pommer, Marius Silaghi
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Training Reinforcement Learning Agents to React to an Ambush for Military Simulations

Timothy Aris, Volkan Ustun, Rajay Kumar
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Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition

Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani, Zag ElSayed
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Government Health Communication During the COVID-19 Pandemic: A BERT Topic Modeling Approach

Thomas Moore-Pizon, Nic DePaula, Loni Hagen
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Augmenting Training Data for a Virtual Character Using GPT-3.5

Elizabeth Chen, Ron Artstein
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The Impact of PDDL+ Language Features on Planning Performance: An Empirical Analysis on a Real-world Case Study

Anas El Kouaiti, Francesco Percassi, Alessandro Saetti, Mauro Vallati
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Game Theoretic Analysis of the Feedback Loop Caused by Widely Available Computer Estimation on Market Values

Viorel Silaghi, Zobaida Alssadi, Ben Mathew, Majed Alotaibi, Ali Alqarni, Marius Silaghi
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The Effectiveness of Autonomous Intersections in a City

Eliáš Cizl, Jiří Švancara, Roman Barták
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Terrain-Aware Military Planning Agents

Robert Kewley, Wes Milks, Chris McGroarty, Tim Aris
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Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia

Christoforos Christoforou, Jacqueline Torres M., Timothy Papadopoulos C., Maria Theodorou
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Pulmonary Disease Classification on Electrocardiograms Using Machine Learning

Aboubacar Abdoulaye Soumana, Prajwol Lamichhane, Mehlam Shabbir, Xudong Liu, Mona Nasseri, Scott Helgeson
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Leveraging Organizational Hierarchy to Simplify Reward Design in Cooperative Multi-agent Reinforcement Learning

Lixing Liu, Volkan Ustun, Rajay Kumar
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Predicting Solar Energy Output On Meteorological Time-Series Data Using Machine Learning

Caleb Harrison, Phadungsak Tubuntoeng, Xudong Liu
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AI Tutor: Student's Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation

Fazel Keshtkar, Neelesh Rastogi, Sebastian Chalarca, Syed Ahmad Chan Bukhari
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Image Interpretation Confusion Resolution by Collaboration

Ben Mathew, Akram Alghanmi, Marius Silaghi
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Autonomous Underwater Robot for Water Quality Measurement of Northwest Pennsylvania Lakes

Pallas-Athena Cain, Trang Hoang, Janyl Jumadinova
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Dementia Detection with Phonetic and Phonological Features

M. Zakaria Kurdi
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Automated Mapping Tool from Moise+ to Colored Petri Nets

Ricardo Machado, Athur Zelindro, Eder Gonçalves, Diana Adamatti, Giovani Farias
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Reinforcement Learning Agents with Generalizing Behavior

Sarah Kitchen, Reid Sawtell, Anthony Chavez, Timothy Aris
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CNN Brain Label-Maker: Computer Vision Based ICA Rejection EEG based System Architecture

Zag ElSayed, Nathan Suer, Grace Westerkamp, Jack Yanchen Liu, Makoto Miyakoshi, Craig Erickson, Ernie Pedapati
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Exploring AI Ethics Syllabi Through NLP Cluster Analysis

Kerrie Hooper, Stephanie Lunn
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An Interpretable Transformer Model for Operational Flare Forecasting

Yasser Abduallah, Vinay Ram Gazula, Jason T. L. Wang
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Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems

Eric L. Brown, Douglas A. Talbert
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Growth Mindset Emojifier Multimodal App

Yulia Kumar, Anjana Manikandan, Patricia Morreale, J. Jenny Li
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Opinion Identification using a Conversational Large Language Mode

Chaya Liebeskind, Barbara Lewandowska-Tomaszczyk
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Optimizing Dynamic Airlift Operations: Winning Strategies in the AFRL Airlift Challenge

John Kolen
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Your Brain on STEM Video Lessons: Exploring Neurophysiological Pat-terns and Educational Engagement to Video Content

Christoforos Christoforou, Amritpal Singh , Antonios Takos
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Enhancing Image Classification through Exploitation of Hue Cyclicity in Convolutional Neural Networks

Jiatao Kuang, Teryn Cha, Sung-Hyuk Cha
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Moving to Advanced Research on Human Machine Interface Design

Keith Brawner
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Severe Weather Forecasting via the Sole Use of Satellite Data

Brianna D'Urso, Sheikh Rabiul Islam, Kamruzzaman Sarker, Ingrid Russell
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Evaluating Vision-Language Models on the TriangleCOPA Benchmark

Ankur Chemburkar, Andrew Gordon, Andrew Feng
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AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities Human Bias in ED: Implications for AI-Driven Patient Flow Optimization

Dylan Russon, Marta Avalos, Ariel Guerra-Adames, Cédric Gil-Jardiné, Emmanuel Lagarde
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Tutorials

Hands-On Introduction to Quantum Machine Learning

Muhammad Ismail, Mohamed Shaban, Samuel Yen-Chi Chen
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Ethics of AI Explained

Clayton Peterson
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An Introduction to Probabilistic Graphical Models

Luigi Portinale
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Special Track: AI in Healthcare Informatics

Fluid Path Detection Model for Lab on a Chip Images Using Deep Learning-Based Segmentation Approach

Mahmood Khalghollah, Esmaeil Shakeri , Azam Zare, Behrouz H. Far, Amir Sanati-Nezhad
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Machine learning prediction of severity and duration of hypoglycemic events in type 1 diabetes patients

Annie Wu, Eashan Singh, Ivy Zhang, Anika Bilal, Anna Casu, Richard Pratley
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Detecting Human Bias in Emergency Triage Using LLMs Literature Review, Preliminary Study, and Experimental Plan

Marta Avalos, Dalia Cohen, Dylan Russon, Melissa Davids, Oceane Doremus, Gabrielle Chenais, Eric Tellier, Cédric Gil-Jardiné, Emmanuel Lagarde
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Using Data Synthesis to Improve Length of Stay Predictions for Patients with Rare Diagnoses

Simon Schiff, Sebastian Wolfrum, Ralf Möller, Mattis Hartwig
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Special Track: AI for Urban Traffic Control and Mobility

Informed Traffic Signal Preemption for Emergency Vehicles

Ioana Silaghi, Zobaida Alssadi, Marius Silaghi
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Special Track: AI Workforce Development and Supportive Education

Embedding Ethics Into Artificial Intelligence: Understanding What Can Be Done, What Can't, and What Is Done

Clayton Peterson
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Special Track: Applied Natural Language Processing

Evaluating Graph Attention Networks as an Alternative to Transformers for ABSA Task in Low-Resource Languages

Gabriel Gomes, Alexandre T. Bender, Arthur Cerveira, Larissa A. Freitas, Ulisses B. Corrˆea
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Bridging the Gap: A Comprehensive Study on Named Entity Recognition in Electronic Domain using Hybrid Statistical and Deep Knowledge Transfer

Ghaith Dekhili, Tan Ngoc Le, Fatiha Sadat
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Beyond Binary: Revealing Variations in Islamophobic Content with Hierarchical Multi-Class Classification

Esraa Aldreabi, Khawlah M. Harahsheh, Mukul Dev Chhangani, Chung-Hao Chen, Jeremy Blackburn
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Exploration of Word Embeddings with Graph-Based Context Adaptation for Enhanced Word Vectors

Tanvi Sandhu, Ziad Kobti
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The Impact of Data Augmentation on the Hate Speech Detection in Portuguese Language

Félix Silva, Artur Cerri, Ulisses Brisolara Corrêa, Larissa A. de Freitas
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TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG)

Mohammad Affan Habib, Shehryar Amin, Muhammad Oqba, Sameer Jaipal, Muhammad Junaid Khan, Abdul Samad
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Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age

Esraa Aldreabi, Mukul Dev Chhangani, Khawlah M. Harahsheh, Justin M. Lee, Chung-Hao Chen, Jeremy Blackburn
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Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora

Mina Rajaei Moghadam, Mosab Rezaei, Miguel Williams, Gülşat Aygen, Reva Freedman
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Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study

Julia da Rocha Junqueira, Ulisses Brisolara Corrêa, Larissa Freitas
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Authorship Attribution of English Poetry using Sentiment Analysis

Lubomir Ivanov, Felix Perez
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Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models

Jean-Thomas Baillargeon, Luc Lamontagne
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Special Track: Artificial Intelligence in Games, Serious Games, and Multimedia

Shortest Walk in a Dungeon Graph

Christopher Durham, Chris Alvin
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Learning Cohesive Behaviors Across Scales for Semi-Cooperative Agents

Reid Sawtell, Sarah Kitchen, Timothy Aris, Christopher McGroarty
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Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization

Caleb Koresh, Volkan Ustun, Rajay Kumar, Tim Aris
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Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models

Matthew Litvinas
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Using Genetic Algorithms to Automate Scenario Generation and Enhance the Training Value of Serious Games for Adaptive Instruction

Robert Sottilare, Christopher Ballinger Ballinger, Matthew Litvinas, Shuowen Hu, Christopher McGroarty
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Special Track: Autonomous Robots and Agents

Model for Knowledge Transfer in Agent Organizations: a Case Study on Moise+

Giovani Farias, Paulo Rodrigues, Diana Adamatti, Eder Gonçalves
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The Dynamic Anchoring Agent: A Probabilistic Object Anchoring Framework for Semantic World Modeling

Zongyao Yi, Martin Günther, Joachim Hertzberg
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Which Actions Are Always Necessary in Fully-Observable Non-Deterministic Planning?

Yaofang Zhang, Adnan Darwiche
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Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Decisions with Expertise-Informed Tasks

Andre R. Kuroswiski, Annie S. Wu, Angelo Passaro
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Automatically Learning HTN Methods from Landmarks

Ruoxi Li, Dana Nau, Mark Roberts, Morgan Fine-Morris
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Special Track: Neural Networks and Data Mining

Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture

Fares Alkhawaja, Manar Amayri, Nizar Bouguila
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Multimodal and Explainable Android Adware Classification Techniques

Momoreoluwa Ayinde, Sheikh Rabiul Islam, Iman Dehzangi, Fahmida Tasnim Lisa
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A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework

Fares Alkhawaja, Manar Amayri, Nizar Bouguila
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Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams

Ocheme Anthony Ekle, William Eberle
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Special Track: Explainable, Fair, and Trustworthy AI

A Scoping Review of Transparency and Explainability in AI Ethics Guidelines

Kerrie Hooper, Stephanie Lunn
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Beyond Size and Accuracy: The Impact of Model Compression on Fairness

Moumita Kamal, Douglas A. Talbert
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Effects of Matching on Evaluation of Accuracy, Fairness, and Fairness Impossibility in AI-ML Systems

Phillip Honenberger, Omolade Ola, William Mapp, Pilhwa Lee
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Sharing Accountability of Versatile AI Systems: The Role of Developers and Practitioners

Changhyun Lee, Hun Yeong Kwon, Kyung Jin Cha
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Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness

Mouhamadou Lamine NDAO, Genane YOUNESS, Ndèye NIANG, Gilbert SAPORTA
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Enhanced Multi-Class Detection of Fake News

Chih-yuan Li, Soon Ae Chun, James Geller
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Special Track: Security, Privacy, Trust and Ethics in AI

Hybrid Cyber-Physical Intrusion Detection System for Smart Manufacturing

Jeremy Potts, Muhammad Ismail
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Enhanced Multimodal Content Moderation of Children’s Videos using Audiovisual Fusion

Syed Hammad Ahmed, Muhammad Junaid Khan, Gita Sukthankar
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Evolution of Norms for a Trustworthy AI Society and Our Responsibilities and Roles

JiHun Lim, Jeongeun Seo, HunYeong Kwon
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Special Track: Semantic, Logics, Information Extraction and AI

On Soft Sets and Formal Concept Analysis (FCA) as mathematical categorization systems - An Engineering Application

Anca Pascu, Laurent Nana, Jean Vareille, François Monin
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Enhancing Biomedical Knowledge Representation Through Knowledge Graphs

Sebastian Chalarca, Asim Abbas, Mutahira Khalid, Fazel Keshtkar, Syed Ahmad Chan Bukhari
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GCN-Based Issues Classification in Software Repository

Bader Alshemaimri, Nafla Alrumayyan, Reem Alqadi
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Decoding Complexity: A Mathematical Framework for Enhanced Translation Comprehension

Eric Poirier, Ansta Nasandratra Nirina Avo
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Developing a predictive model using multivariate analysis and Long Short-Term Memory (LSTM) to assess corrosion degradation in mining pipeline thickness.

Kalidou Moussa Sow, Nadia Ghazzali
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Special Track: Uncertain Reasoning

Intrinsic Prioritization in Answer Set Programming Based on an Adapted Notion of Tolerance

Marco Wilhelm, Lars-Phillip Spiegel, Gabriele Kern-Isberner
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Causal Unit Selection using Tractable Arithmetic Circuits

Haiying Huang, Adnan Darwiche
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A Partial MaxSAT Approach to Nonmonotonic Reasoning with System W

Christoph Beierle, Aron Spang, Jonas Haldimann
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Initial Goal Allocation for Multi-agent Systems

Khanh Tra Nguyen Tran, Jonathan Young, Sravya Kondrakunta
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Efficient Detection of Exchangeable Factors in Factor Graphs

Malte Luttermann, Johann Machemer, Marcel Gehrke
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