The International FLAIRS Conference Proceedings

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Vol. 35 (2022): Proceedings of FLAIRS-35

View Vol. 35 (2022): Proceedings of FLAIRS-35

Published: 2022-05-04

Preface

Preface

Fazel Keshtkar
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Committee Listings

Committee Listings

Fazel Keshtkar
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Invited Talk Abstracts

FLAIRS-35 Invited Talk Abstracts

Fazel Keshtkar
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Main Track Proceedings

Predicting the Severity of COVID-19 Respiratory Illness with Deep Learning

Connor Shorten, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard
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Knowledge Reformulation and Deception as a Defense Against Automated Cyber Adversaries

Ron Alford, Lukas Chrpa, Mauro Vallati, Andy Applebaum
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Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model

Mareike Stender, Mattis Hartwig, Tanya Braun, Ralf Möller
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Evolution of Combined Arms Tactics in Heterogeneous Multi-Agent Teams

Robert Wilson, David King, Gilbert Peterson
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Adversarial Learning to Reason in an Arbitrary Logic

Stanisław Purgał, Cezary Kaliszyk
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Contradiction Detection and Repair in a Large Theory

Adam Pease, Stephan Schulz
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Automated Assessment of Student Self-explanation During Source Code Comprehension

Jeevan Chapagain, Lasang Tamang, Rabin Banjade, Priti Oli, Vasile Rus
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Automated Computer Network Exploitation with Bayesian Decision Networks

Graeme Roberts, Gilbert Peterson
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A Comparison of House Price Classification with Structured and Unstructured Text Data

Erika Cardenas, Connor Shorten, Taghi M. Khoshgoftaar, Borivoje Furht
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COM-MABs: From Users' Feedback to Recommendation

Alexandre Letard, Tassadit Amghar, Olivier Camp, Nicolas Gutowski
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Towards Automated Error Analysis: Learning to Characterize Errors

Tong Gao, Shivang Singh, Raymond J. Mooney
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Considering Inter-Case Dependencies During Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning

Rahol Kumar, Alexander Schultheis, Lukas Malburg, Maximilian Hoffmann, Ralph Bergmann
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Context-aware Multi-stakeholder Recommender Systems

Tahereh Arabghalizi, Alexandros Labrinidis
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Domain Adaptive Scene Text Localization in Night View Images

Majed Alowaidi, Mohammed Alshehri
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Towards Imbalanced Multiclass Driver Distraction Identification

Kapotaksha Das, Mohamed Abouelenien, Mihai Burzo, Rada Mihalcea
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Stemming the Tide of Fake News about the COVID-19 Pandemic

Chih-yuan Li, Soon A. Chun, James Geller
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Development of an AI-based bioacoustic wolf monitoring system

Olivier Stähli, Thomas Ost, Thomas Studer
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An Interpretable Model for Collaborative Filtering Using an Extended Latent Dirichlet Allocation Approach

Florian Wilhelm, Marisa Mohr, Lien Michiels
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Unsupervised Detection of Misinformation in Financial Statements

AKSHADA SHINDE
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Behaving Like Soldiers A Multi-Agent System Approach to Course of Action Planning for Simulated Military Units

Rob Kewley, Chris Argenta, Keith Brawner
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Towards Increasing the Coverage of Interactive Recommendations

Behnam Rahdari, Peter Brusilovsky, Branislav Kveton
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Tracking using Human Pose Matching with Deep Association Metric

Atishay Jain, Abhishek Dhiman, Balakrishna Pailla
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Brazilian Portuguese Hate Speech Classification using BERTimbau

Félix Silva, Larissa A. de Freitas
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Switch lists in the landscape of knowledge representation languages

Ondrej Cepek
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Feature Integration and Feature Augmentation for Predicting GPCR-Drug Interaction

Isabelle Bichindaritz, Guanghui Liu
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An Exploration of Consistency Learning with Data Augmentation

Connor Shorten, Taghi M. Khoshgoftaar
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Tractable Inference for Hybrid Bayesian Networks with NAT-Modeled Dynamic Discretization

Yang Xiang, Hanwen Zheng
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Machine learning approach for studying the neural underpinnings of dyslexia on a phonological awareness task

Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou
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A Few-shot Learning Model based on a Triplet Network for the Prediction of Energy Coincident Peak Days

Jinxiang Liu, Laura E. Brown
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Modelling Cournot Games as Multi-agent Multi-armed Bandits

Kshitija Taywade, Brent Harrison, Adib Bagh, Judy Goldsmith
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Data Augmentation using Counterfactuals: Proximity vs Diversity

Md Golam Moula Mehedi Hasan, Douglas Talbert
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Mitigating the Rashomon Effect in Counterfactual Explanation: A Game-theoretic Approach

Md Golam Moula Mehedi Hasan, Douglas Talbert
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Best Response Computation in Multiplayer Imperfect-Information Stochastic Games

Sam Ganzfried
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Qualitative Mechanical Problem-Solving by Artificial Agents: Further Progress, Under Psychometric AI

Shreya Banerjee, Selmer Bringsjord, Michael Giancola, Naveen Sundar Govindarajulu
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Rethinking Inventory Forecasting Problems in E-commerce: Exploring the effect of integrating forecasting and inventory decisions

Hernan Ceferino Vazquez, Virginia Dal Lago
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Relating Preference Languages By Their Expressive Power

Michael Andrew Huelsman, Miroslaw Truszczynski
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Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets

Brandon Hines, Douglas Talbert, Steven Anton
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Sensitivity Analysis of a BERT-based scholarly recommendation system

Jie Zhu, Dr. Hulin Wu, Dr. Ashraf Yaseen
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Challenges of Vehicle Classification Using Acoustics

Raiden Evans, Stephanie Mullins, George Noel
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Special Track: Applied Natural Language Processing

Lyrics Generation supported by Pre-trained Models

Matheus Augusto Rodrigues, Alcione Oliveira, Alexandra Moreira, Maurilio Possi
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Learning to Rank with BERT for Argument Quality Evaluation

Charles-Olivier Favreau, Amal Zouaq, Sameer Bhatnagar
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Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language

Émerson Philippe Lopes, Larissa Freitas, Gabriel Gomes, Gerônimo Lemos, Luiz Otávio Hammes, Ulisses B. Corrêa
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A Language-independent Metric for Measuring Text Simplification that does not Require a Parallel Corpus

Lucas Mucida, Alcione Oliveira, Maurilio Possi
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TLMOTE: A Topic-based Language Modelling Approach for Text Oversampling

Arjun Choudhry, Seba Susan, Anmol Bansal, Anubhav Sharma
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Query-Based Keyphrase Extraction from Long Documents

Martin Dočekal, Pavel Smrž
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Recommendation System for Open Source Projects for Minimizing Abandonment

Sarah Sayce, Krishnendu Ghosh
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A Study on Title Encoding Methods for e-Commerce Downstream Tasks

Cristian Cardellino, Rafael Carrascosa
Generative Adversarial learning with Negative Data Augmentation for Semi-supervised Text Classification

Shahriar Shayesteh, Diana Inkpen
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Regularizing Data for Improving Execution Time of NLP Model

Thang Dang, Yasufumi Sakai, Tsuguchika Tabaru, Akihiko Kasagi
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Named Entity Recognition for Nepali: Data Sets and Algorithms

Nobal Niraula, Jeevan Chapagain
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Special Track: Uncertain Reasoning

Factored Beliefs for Machine Agents in Decentralized Partially Observable Markov Decision Processes

Joshua Lapso, Gilbert Peterson
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Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates

Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni
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Realization of c-Inference as a SAT Problem

Christoph Beierle, Martin von Berg, Arthur Sanin
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Integrating Cognitive Principles From ACT-R Into Probabilistic Conditional Reasoning by Taking the Example of Maximum Entropy Reasoning

Marco Wilhelm, Diana Howey, Gabriele Kern-Isberner, Kai Sauerwald, Christoph Beierle
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Normal Forms of Conditional Belief Bases Respecting Inductive Inference

Christoph Beierle, Jonas Haldimann
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Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications

Narges Manouchehri, Nizar Bouguila
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Special Track: Autonomous Robots and Agents

Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain

Jack Vice, Gita Sukthankar, Pamela K. Douglas
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A Hierarchical Goal-Biased Curriculum for Training Reinforcement Learning

Sunandita Patra, Mark Cavolowsky, Onur Kulaksizoglu, Ruoxi Li, Laura Hiatt, Mark Roberts, Dana Nau
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HTN Replanning from the Middle

Yash Bansod, Sunandita Patra, Dana Nau, Mark Roberts
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Temporal Alignment and Demonstration Selection as Pre-Processing Phase for Learning by Demonstration

Jérémie Donjat, Amélie Legeleux, Cédric Buche, Dominique Duhaut
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On Heuristics for Parsing-based Verification of Hierarchical Plans with a Goal Task

Simona Ondrčková, Roman Barták, Pascal Bercher, Gregor Behnke
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EgoPlan: A Framework for Multi-Agent Planning Using Single Agent Planners

Mark McArthur, Yashar Moshfeghi, Michael Cashmore
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Gaussian Mixture Model with Weighted Data for Learning by Demonstration

Amélie Legeleux, Cédric Buche, Dominique Duhaut
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Adapting Cobot Behavior to Human Task Ordering Variability for Assembly Tasks

Belal HMEDAN, Dorilys Kilgus, Humbert Fiorino, Aurelie Landry, Damien Pellier
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Special Track: Semantic, Logics, Information Extraction and AI

The Logic of Hebbian Learning

Caleb Kisby, Saúl Blanco, Lawrence Moss
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Min-Based Conditioning of Possibilistic EL Ontology

Rim Mohamed, Zied Bouraoui, Zied Loukil, Faiez Gargouri
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Identifying Relation-gaps in Ontologies using TOPSIS

Subhashree S, Sreenivasa Kumar P
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Unsupervised Neural Network for Data-Driven Corrosion Detection of a Mining Pipeline

Abdou Khadir Dia, Nadia Ghazzali, Bosca Axel Gambou
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The Place of Quasi Topological Structure in the Mathematical Theory of Categorization Quasi Topological Structure and Soft Sets

Anca Pascu Pascu, Jean-Pierre Desclés, Ismail Biskri
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A Sociotechnical Framework for Semantic Biomedical Content Authoring and Publishing

Steve Fonin Mbouadeu, Asim Abbas, Fazel Keshtkar, Iram Wajahat, Syed Ahmad Chan Bukhari
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Preliminary Thoughts on Defining f(x) for Ethical Machines

Clayton Peterson, Naïma Hamrouni
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Biomedical Scholarly Article Editing and Sharing using Holistic Semantic Uplifting Approach

Asim Abbas, Steve Fonin Mbouadeu, Fazel Keshtkar, Joan DeBello, Syed Ahmad Chan Bukhari
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Conflict-Based Inconsistency-Tolerant Query Answering

Rim Mohamed, Zied Bouraoui, Zied Loukil, Faiez Gargouri
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Special Track: Neural Networks and Data Mining

Comparative Analysis of Transformers to Support Fine-Grained Emotion Detection in Short-Text Data

Robert H. Frye, David C. Wilson
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Discovering Breach Patterns on the Internet of Health Things: A Graph and Machine Learning Anomaly Analysis

Prabin B Lamichhane, Hannah Mannering, William Eberle
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Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning

Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang
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A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression

Katherine E. Brown, Douglas A. Talbert
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Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers

Sobirdzhon Bobiev, Albina Khusainova, Adil Khan, S.M. Ahsan Kazmi
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Protein-Protein Interaction Extraction using Attention-based Tree-Structured Neural Network Models

Sudipta Singha Roy, Robert E. Mercer
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Estimating Automobile Crash Characteristics from Images using Deep Learning

Daniel Silver, Hardik Manek, Matthew Kay, Paul Travis
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Customer Appointment Analysis in Automobile Dealerships

Priya Saha, Joachim Hubele, Stephen McDonald
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Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques

Rajesh Manicavasaga, Prabin B Lamichhane, Prajjwal Kandel, Douglas A. Talbert
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Extracting Sections of Simulated Driving Routes that Elicit Driving Responses Predictive of ADHD via Recursively Constructed Ensembles

David Grethlein
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Special Track: Security, Privacy and Trust in AI

Automatic verification of multi-agent systems security properties specified with LTL

Kholud Alghamdi, Marius Silaghi
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Missing Mechanisms of Manipulation in the EU AI Act

Matija Franklin, Hal Ashton, Rebecca Gorman, Stuart Armstrong
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A Robust Method to Protect Text Classification Models against Adversarial Attacks

BALA MALLIKARJUNARAO GARLAPATI, Ajeet Kumar Singh , Srinivasa Rao Chalamala
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Exploration of AI-enabled Contents for Undergraduate Cyber Security Programs

Ramoni Lasisi, Matthew Menia, Zachary Farr, Corey Jones
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Ready for Battle?: Legal Considerations for Upcoming AI Hacker and Vulnerability Issues

Jin-Myeong Lee, Sangpil Yoon
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Review of the Validity and Rationality of Artificial Intelligence Regulation Application of the EU's AI Regulation Bill to Accidents Caused by Artificial Intelligence

Eugene Lim, Hyesung Park, Beopyeon Kim, Beopyeon Kim
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On Information Hiding in Natural Language Systems

Geetanjali Bihani, Julia Taylor Rayz
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The Role of Higher Education for the Ethical AI Society

JiHun Lim, JeongEun Seo, HunYeong Kwon
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Special Track: AI in Healthcare Informatics

Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reports Public Health surveillance from EMCC data

Alexandre Naprous, Marta Avalos-Fernandez, Catherine Pradeau, Emmanuel Lagarde, Cedric Gil-Jardine
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Effects of scale on segmentation of Nissl–stained rat brain tissue images via convolutional neural networks

Alexandro Arnal, Olac Fuentes
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ColorNephroNet: Kidney tumor malignancy prediction using medical image colorization

Aleksander Obuchowski, Barbara Klaudel, Roman Karski, Bartosz Rydziński, Mateusz Glembin, Paweł Syty, Patryk Jasik
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Qualitative Choice Logic For Modeling Experts Recommendations of Antibiotics

karima sedki, Jean-Baptiste Lamy, Tsopra Rosy
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Special Track: Artificial Intelligence in Games, Serious Games, and Multimedia

Extensions to Tiered Coalition Formation Games

Nathan Arnold, Judy Goldsmith, Sarah H. Snider
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MineObserver: A Deep Learning Framework for Assessing Natural Language Descriptions of Minecraft Imagery

Jay Mahajan, Samuel Hum, Jeff Ginger, H. Chad Lane
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A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

Shengyi Huang, Santiago Ontañón
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Pseudo-visibility: A Game Mechanic Involving Willful Ignorance

Samuel Alexander, Arthur Paul Pedersen
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Aggregation of Hierarchically-Organized Agents in a Multi-Agent System

Sarah Kitchen, Keith Brawner
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Reinforcement learning algorithms for the Untangling of Braids

Abdullah khan, Alexei Vernitski, Alexei Lisitsa
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Learning to Take Cover on Geo-Specific Terrains via Reinforcement Learning

Timothy Aris, Volkan Ustun, Rajay Kumar
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Learning Automata with Artificial Reflecting Barriers in Games with Limited Information

Ismail Hassan, B. John Oommen, Anis Yazidi
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Hierarchical, Discontinuous Agent Reinforcement Learning Rewards in Complex Military-Oriented Environments

Charles Newton, Christopher Ballinger, Michael Sloma, Keith Brawner
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Explainability, Bias, and Trust

Using Explainable AI to Measure Feature Contribution to Uncertainty

Katherine Elizabeth Brown, Douglas A. Talbert
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An Overview on the Explainability of Cyber-Physical Systems

Sanjiv Subodhnarayan Jha
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Towards Machine Learning Interpretability for Tabular Data with Mixed Data Types

Prativa Pokhrel, Dr. Alina Lazar
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Examining Stereotypes in News Articles

Damin Zhang, Julia Taylor Rayz
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Generating Conceptual Explanations for DL based ECG Classification Model

Amit Sangroya, Suparshva Jain, Lovekesh Vig, C. Anantaram, Arijit Ukil, Sundeep Khandelwal
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Toward Multi-Agent Algorithmic Recourse Challenges From a Game-Theoretic Perspective

Andrew O'Brien, Edward Kim
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Poster Abstracts

Trustworthy AI Solutions for Cyberbiosecurity Challenges in Water Supply Systems

Wan-Yi Mao, Mehmet Yardimci, Minh Nguyen, Dan Sobien, Laura Freeman, Feras A. Batarseh, Abdul Rahman, Vinita Fordham
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Automatic Speech Recognition Training Software for Joint Terminal Attack Controller Close Air Support Requests

Logan Gisick, Henry Phillips, Charles Newton
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Enhancing Grade Prediction via Course Attribute-Aware Student Similarity in Collaborative Filtering

Young Park
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Implications of Bounds in Approval Voting

Kholud Alghamdi, Marius Silaghi
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Ultimate Tic-Tac-Toe Bot Techniques

Brycen Addison, Michael Peeler, Chris Alvin
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Language-Model-Based Parsing and English Generation for Unscoped Episodic Logical Forms

Erin Gibson, Lane Lawley
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Expectation Management of AI for Automated Military Behavior Representations

Chris McGroarty, Scott Gallant
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Vehicle Traffic Estimation Using Deep Learning

Meetkumar Patel, Daniel Silver
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Vision-Based American Sign Language Classification Approach via Deep Learning

Nelly Elsayed
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The Development of an Intelligent System Architecture for Autonomous Care (ISAAC)

Logan Gisick, Alyssa Tanaka, Bob Marinier, Robert Picking, Cameron Copland
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Fast Content Placement and Alignment in 3D Scenes

Robin Wiethüchter, Saikishore Kalloori, Ribin Chalumattu
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Pedestrian Traffic Prediction using Deep Learning

Riddhi Joshi, Daniel Silver
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Less is More: Decision Making & Information Sharing Under Severe Uncertainty

Gene, Arthur Paul Pedersen
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Tutorials

Enabling AI Adoption through Assurance

Jaganmohan Chandrasekaran, Feras A. Batarseh, Laura Freeman, Raghu Kacker, M S Raunak, Rick Kuhn
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An Introduction to Graph Neural Networks

Alina Lazar
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Sparse Predictive Hierarches: An Alternative to Deep Learning

Eric Laukien
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More information about FLAIRS can be found on the website, www.FLAIRS.com.