The International FLAIRS Conference Proceedings

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Vol. 36 (2023): Proceedings of FLAIRS-36

View Vol. 36 (2023): Proceedings of FLAIRS-36

Proceedings of FLAIRS-36, May 14-17, 2023, Clearwater Beach, FL.

Published: 08-05-2023

Preface

Preface

Soon Chun, Michael Franklin
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Committee Listings

The FLAIRS-36 Committee List

Soon Chun
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Invited Talk Abstracts

FLAIRS-36 Invited Talk Abstracts

Soon Chun
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Main Track Proceedings

Generating more Realistic Packet Loss Patterns for Wireless links using Neural Networks

Daniel Otten, Thomas Hänel, Tim Römer, Nils Aschenbruck
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Towards a multi-modal Deep Learning Architecture for User Modeling

Ange Tato, Roger Nkambou
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Multiple View Summarization Framework for Social Media

Chih-yuan Li, Soon Chun, James Geller
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Multi-hop Question Generation without Supporting Fact Information

John Emerson, Yllias Chali
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Evaluating Fairness in Predictive Policing Using Domain Knowledge

Ava Downey, Sheikh Rabiul Islam, Md Kamruzzaman Sarker
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Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat

Mateo Gannod, Nicholas Masto, Collins Owusu, Cory Highway, Katherine E. Brown, Abigail Blake-Bradshaw, Jamie Feddersen, Heath Hagy, Douglas A. Talbert, Bradley Cohen
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MarshCover: A Web-based Tool for Estimating Vegetation Coverage in Marsh Images Using Convolutional Neural Networks

Lucas Wayne Welch, Xudong Liu
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Causanom: Anomaly Detection With Flexible Causal Graphs

Sasha Strelnikoff, Aruna Jammalamadaka, Tsai-Ching Lu
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Weight-based multi-stream model for Multi-Modal Video Question Answering

Mohith Rajesh, Sanjiv Sridhar, Chinmay Kulkarni, Aaditya Shah, Natarajan S
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Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning Using Graph Neural Networks and Transfer Learning

Johannes Pauli, Maximilian Hoffmann, Ralph Bergmann
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A Project to Compose a Modular AI Certification System in University Edu-cation and its inherent chance to verify, validate, and refine AI teaching by AI technologies

Tanja Schramm, Rainer Knauf
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TinderAI: Support System for Matching AI Algorithms and Embedded Devices

Matteo Francobaldi, Allegra De Filippo, Andrea Borghesi, Nikola Pizˇurica, Igor Jovančević, Tim Llewellynn, Miguel de Prado
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Comparative Study Between Vision Transformer and EfficientNet on Marsh Grass Classification

Conrad Testagrose, Mehlam Shabbir, Braden Weaver, Xudong Liu
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Reinforcement Learning for Guiding the E Theorem Prover

Jack McKeown, Geoff Sutcliffe
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A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries

Logan Cummins, Brad Killen, Somayeh Bakhtiari Ramezani, Shahram Rahimi, Maria Seale, Sudip Mittal
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Computing an Optimal Pitching Strategy in a Baseball At-Bat

Connor Douglas, Everett Witt, Mia Bendy, Yevgeniy Vorobeychik
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Regularized Neural-Congruency on Spoonerism: Toward exploring the neural-underpinnings of reading disorders on phonological processing tasks

Christoforos Christoforou, Timothy Papadopoulos, Maria Theodorou
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DynamicG2B: Dynamic Node Classification with Layered Graph Neural Networks and BiLSTM

Fattah Muhammad Tahabi, Xiao Luo
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ARCHIMEDES: Active Reasoning Conducted with Heterogeneous Information Monitors for Evading Dangers and Extended Surveillance

Simon Schoenbeck, Ugur Kuter
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A Study of Compressed Language Models in Social Media Domain

Linrui Zhang, Belinda Copus
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Leveraging Demonstrations for Learning the Structure and Parameters of Hierarchical Task Networks

Philippe Hérail, Arthur Bit-Monnot
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Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems

Aayush Singha Roy, Edoardo D'Amico, Aonghus Lawlor, Neil Hurley
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A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data

Prativa Pokhrel, Alina Lazar
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Query Transformation for Processing Streams in Decision-making Agents

Simon Schiff, Mena Leemhuis, Özgür Özcep, Ralf Möller
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Using Bidirectional Associative Memory Neural Networks to Solve the N-bit Task

Damiem Rolon-Mérette, Thaddé Rolon-Merette, Sylvain Chartier
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Unsupervised Keyword Extraction for Hashtag Recommendation in Social Media

Behafarid Mohammad Jafari, Xiao Luo, Ali Jafari
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SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-Explanation During Source Code Comprehension

Jeevan Chapagain, Zak Risha, Rabin Banjade, Priti Oli, Lasang Tamang, Peter Brusilovsky, Vasile RUs
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ML-based Plant Stress Detection from IoT-sensed Reduced Electromes

Marcos De Oliveira Jr, Gregory Sedrez, Gerson Geraldo H. Cavalheiro
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Dynamic FastMap: An Efficient Algorithm for Spatiotemporal Embedding of Dynamic Graphs

Omkar Thakoor, T. K. Satish Kumar
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Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning

Maximilian Hoffmann, Ralph Bergmann
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Special Track: Applied Natural Language Processing

Dig Here! Extracting and Using Knowledge from Financial Audit Reports

Sachin Pawar, Manoj Apte, Aditi Pawde, Sushodhan Vaishampayan, Girish Palshikar, Akshada Shinde
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A Multi-Dictionary Approach to Abstractness/Concreteness-Based Authorship Attribution

Lubomir Ivanov
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Improving Word Embedding Using Variational Dropout

Zainab Albujasim, Diana Inkpen, Xuejun Han, Yuhong Guo
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Comparing Statistical Models for Retrieval based Question-answering Dialogue: BERT vs Relevance Models

Debaditya Pal, Anton Leuski, David Traum
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Answering Student Queries with a Supervised Memory Conversational Agent

Florian Baud, Alex Aussem
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Enforcing Grammar in Code Synthesis with Transformers

Dmytro Vitel, Stephen Steinle, John Licato
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DanfeNER - Named Entity Recognition in Nepali Tweets

Nobal Niraula, Jeevan Chapagain
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Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema

Adib Mosharrof, M.H. Maqbool, A.B. Siddique
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Security of Text to Icon/Image conversions

Zobaida Alssadi, Marius Silaghi
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BERTimbau in Action: An Investigation of its Abilities in Sentiment Analysis, Aspect Extraction, Hate Speech Detection, and Irony Detection.

Julia da Rocha Junqueira, Felix da Silva, Wesley Costa, Rodrigo Carvalho, Alexandre Bender, Ulisses Correa, Larissa Freitas
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Code Generation for Collectible Card Games with Complex APIs

John Licato, Logan Fields, Brayden Hollis
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Using Deep Learning to Detect Islamophobia on Reddit

Esraa Aldreabi, Justin M. Lee, Jeremy Blackburn
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Harnessing Bullying Traces to Enhance Bullying Participant Role Identification in Multi-Party Chats

Anaïs Ollagnier, Elena Cabrio, Serena Villata
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SBERTiment: A New Pipeline to Solve Aspect Based Sentiment Analysis in the Zero-Shot Setting

Matteo Muffo, Aldo Cocco, Edoardo Negri, Enrico Bertino, Devi Veena Sreekumar, Giorgio Pennesi, Riccardo Lorenzon
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Special Track: Uncertain Reasoning

Hybrid Bayesian Networks for the Reliability Analysis of Systems with Continuous Variables

Luigi Portinale
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Conditionals, Infeasible Worlds, and Reasoning with System W

Jonas Haldimann, Christoph Beierle, Gabriele Kern-Isberner, Thomas Meyer
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Bayesian Network Conflict Detection for Normative Monitoring of Black-Box Systems

Annet Onnes, Mehdi Dastani, Silja Renooij
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Observational Equivalence of Conditional Belief Bases

Christoph Beierle, Jonas Haldimann, Leon Schwarzer
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Prioritizing Answer Sets Based on Conditional Expert Knowledge

Marco Wilhelm, Andre Thevapalan, Gabriele Kern-Isberner
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Towards a Temporal Probabilistic Argumentation Framework

Stefano Bistarelli, Victor David, Francesco Santini, Carlo Taticchi
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Special Track: Autonomous Robots and Agents

Visual Episodic Memory-based Exploration

Jack Vice, Natalie Ruiz-Sanchez, Pamela K Douglas, Gita Sukthankar
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Evaluation of Techniques for Sim2Real Reinforcement Learning

Mahesh Ranaweera, Qusay Mahmoud
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Area Coverage Optimization using Networked Mobile Robots with State Estimation

Isaiah Chism, Daniel Plante, Md Suruz Miah
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Learning Sensor Based Risk Map Augmentation for Risk Aware UAS Operation

Bhaskar Trivedi, Manfred Huber
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How Does a Minority Opinion Spread? An Agent-Based Model on the Opposition Between a Silent Majority and a Loud Minority

Luca Baccino, Serena Villata
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Choosing the Task Allocator: Effect on Performance and Satisfaction in Human-Agent Team

Sami Abuhaimed, Selim Karaoglu, Sandip Sen
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Relative Performance of Bilateral Multiattribute Negotiation Strategies in Open Markets

Jacob Brue, Joseph Shymanski, Selim Karaoglu, Sandip Sen
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PerFC: An Efficient 2D and 3D Perception Software-Hardware Framework for Mobile Cobot

Tuan Dang, Khang Nguyen, Manfred Huber
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Special Track: Semantic, Logics, Information Extraction and AI

Further Thoughts on Defining f(x) for Ethical Machines: Ethics, Rational Choice, and Risk Analysis

Clayton Peterson
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Automatic generation of paragraph templates using a Textual Energy approach: Applications in Literary Text production

Luis Gil Moreno Jimenez , Juan-Manuel Torres-Moreno
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Enhancing Biomedical Semantic Annotations through a Knowledge Graph-Based Approach

Asim Abbas, Mutahira Khalid, Sebastian Chalarca, Fazel Keshtkar, Syed Ahmad Chan Bukhari
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Semantics-based Framework for Incentivized Research Data Sharing

Kacy Adams, Deborah McGuinness, Oshani Seneviratne
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Lessons Learned from the CYK Algorithm for Parsing-based Verification of Hierarchical Plans

Simona Ondrčková, Roman Barták, Pascal Bercher, Gregor Behnke
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Parsing-Based Recognition of Hierarchical Plans Using the Grammar Constraint

Kristýna Pantůčková, Simona Ondrčková, Roman Barták
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Special Track: Neural Networks and Data Mining

MOD3NN: A Framework for Automatic Signal Modulation Detection Using 3D CNN

Vishal Perekadan, Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao, Hovannes Kulhandjian, Michel Kulhandjian
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Making Time Series Embeddings More Interpretable in Deep Learning Extracting Higher-Level Features via Symbolic Approximation Representations

Leonid Schwenke, Martin Atzmueller
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Towards Species-Specific Coral Classification in Reef Monitoring Efforts

Hyeong Gyu Jang, Jonathan P. Leidig, Greg Wolffe
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Deep Separable Hypercomplex Networks

Nazmul Shahadat, Anthony S. Maida
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Visualization of Learning Process in Feature Space

Tomohiro Inoue, Noboru Murata, Taiki Sugiura
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Semi-supervised Learning of Visual Causal Macrovariables

Aruna Jammalamadaka, Lingyi Zhang, Joseph Comer, Sasha Strelnikoff, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya
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Identifying Informative Nodes in Attributed Spatial Sensor Networks Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach

Leonid Schwenke, Stefan Bloemheuvel, Martin Atzmueller
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Capturing Preferences of New Users in Generative Tasks with Minimal Interactions Collaborative Filtering Using Siamese Networks and Soft Clustering

Subharag Sarkar, Manfred Huber
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Identifying Protein-Protein Interaction using Tree-Transformers and Heterogeneous Graph Neural Network

Sudipta Singha Roy, Robert Mercer
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Learning Policies for Neural Network Architecture Optimization Using Reinforcement Learning

Raghav Vadhera, Manfred Huber
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Special Track: Security, Privacy and Ethics in AI

IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception

Joseph Bao, Murat Kantaciourglu, Yevgeniy Vorobeychik, Charles Kamhoua
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Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization

Bhanu Jain, Manfred Huber, Ramez Elmasri
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Analysis of Artificial Intelligence regulations for trustworthiness

Hyesung Park, Hun-yeong Kwon
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Malicious or Benign? Towards Effective Content Moderation for Children's Videos

Syed Hammad Ahmed, Muhammad Junaid Khan, Hafiz Muhammad Umer Qaisar, Gita Sukthankar
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Impact of Artificial Intelligence Regulations on Organizational Risks

Misti Jo Payton
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Special Track: AI in Healthcare Informatics

On the Comparison of Markov Chains-based Models in Process Mining for Healthcare: A Case Study

Mauro Vallati, Stefania Orini, Mariagrazia Lorusso, Mariachiara Savino, Roberto Gatta, Massimiliano Filosto
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Classification of Drivers with HIV-Associated Neurocognitive Disorders using Virtual Driving Test Performance Data

David Grethlein, Venk Kandadai, Will Dampier
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Special Track: Artificial Intelligence in Games, Serious Games, and Multimedia

Leveraging Graph Networks to Model Environments in Reinforcement Learning

Viswanath Chadalapaka, Volkan Ustun, Lixing Liu
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Considerations in the Design of Realistic Agents for Serious Games

Robert Sottilare, Christopher Ballinger, Christopher McGroarty
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Teaching Artificial Intelligence (AI) with AI for AI applications

Keith Brawner, Ning Wang, Ben Nye
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Modeling organizational level of agents with moise+ to a natural resources management RPG

Míriam Born, Marilton Aguiar, Diana Adamatti
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Tradeoffs within Representational Behaviors: Multi-Objective Optimization Strategies for Simulated Military Units

Rob Kewley, Chris Argenta, Chris McGoarty
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A Comparison of Behavior Cloning Methods in Developing Interactive Opposing-Force Agents

Logan Lebanoff, Nicholas Paul, Christopher Ballinger, Patrick Sherry, Gavin Carpenter, Charles Newton
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Model Representation Considerations for Artificial Intelligence Opponent Development in Combat Games

Sarah Kitchen, Chris McGroarty, Timothy Aris
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Learning to Take Cover with Navigation-Based Waypoints via Reinforcement Learning

Timothy Aris, Volkan Ustun, Rajay Kumar
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Special Track: Explainability, Bias, and Trust

Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models

Katherine L. Phillips, Katherine E. Brown, Steve Talbert, Douglas A. Talbert
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Relative Effects of Positive and Negative Explanations on Satisfaction and Performance in Human-Agent Teams

Bryan Lavender, Sami Abuhaimed, Sandip Sen
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On Bounding the Behavior of a Neuron

Richard Borowski, Arthur Choi
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Interpreting Predictive Models through Causality: A Query-Driven Methodology

Mahdi Hadj Ali, Yann Le Biannic, Pierre-Henri Wuillemin
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Mitigating Age Biases in Resume Screening AI Models

Christopher Harris
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Special Track: AI for Urban Traffic Control and Mobility

Smart Passenger Center: Real-Time Optimization of Urban Public Transport

Alfonso Corrado, Simona Barba, Isabel Carozzo, Simone Nardi
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Towards a Framework for Intelligent Urban Traffic Routing

Matyáš Švadlenka, Lukáš Chrpa
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Dynamic Route Guidance in Vehicle Networks by Simulating Future Traffic Patterns

David Neiman, Zachary Rubinstein, Stephen Smith
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Posters

An Interactive Interpretation Viewer for Typed First-order Logic

Jack McKeown, Geoff Sutcliffe
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Player Identification for Collectible Card Games with Dynamic Game States

Logan Fields, John Licato
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Using Knowledge Graph Embedding for Fault Detection A Case Study in Electric Vehicle Parts Assembly

Ziad Kobti, Joseph El-Ghaname
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Generative Local Interpretable Model-Agnostic Explanations

Mohammad Nagahisarchoghaei, Mirhossein Mousavi Karimi, Shahram Rahimi, Logan Cummins, Ghodsieh Ghanbari
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Serious Games for Training in Patient Flow Management in Emergency Departments: State of the Art and Perspectives Serious Games for Training ED professionals

Charlotte Blot, Katia Weickert, Arthur Payros, Marta Avalos, Cédric Gil-Jardiné
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Machine Learning for Early Mental Health Support and Offenders Correction

Nelly Elsayed, Zag ElSayed, Murat Ozer
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Automatic Summarization for Academic Articles using Deep Learning and Reinforcement Learning with Viewpoints

JingHong Li, Hatsuhiko Tanabe , Koichi Ota, Wen Gu , Shinobu Hasegawa
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AI-supported Digital Twins in applications related to sustainable development goals

Adriana Giret, Vicente Julian, Carlos Carrascosa
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A Survey on Sentiment Classification Methods and Challenges

Neda Keivandarian, Marco Carvalho
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Towards binary encoding in Bidirectional Associative Memories

Thaddé Rolon-Merette, Damiem Rolon-Merette, Sylvain Chartier
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An Interactive Modelling Environment for Designing Warehouse Layouts Based on ASP

Andre Thevapalan, Marco Wilhelm, Gabriele Kern-Isberner, Pascal Kaiser, Moritz Roidl
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A Survey of Unsupervised Learning Algorithms for Zero-Day Attacks in Intrusion Detection Systems.

Sunkanmi Oluwadare, Zag ElSayed
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Rooster Colony Algorithm: A two-step Multi-Swarm Optimization Approach

Miguel A. Salido, Adriana Giret, Christian Perez, Carlos March
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On Enhancing Security for Division Homomorphism with ElGamal

Marius Silaghi, Ameerah Alsulami
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k-medianoids Clustering Algorithm

James Cha, Teryn Cha, Sung-Hyuk Cha
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Preliminary results of a conceptual graph query language

David Genest, Marc Legeay, Stéphane Loiseau
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Heart Murmur Classification in Phonocardiogram Representations Using Convolutional Neural Networks

Mehlam Shabbir, Xudong Liu, Mona Nasseri, Scott Helgeson
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A Q-Learning Proposal for Tuning Genetic Algorithms in Flexible Job Shop Scheduling Problems

Christian Perez, Carlos March, Miguel A. Salido
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GABSA-PT: Graph Neural Networks for Aspect-level Sentiment Analysis in Portuguese Language

Gabriel Gomes, Ulisses Corrêa, Larissa Freitas
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Predicting the Effectiveness of Blockchain Bug Bounty Programs

Ed Marcavage, Jake Mason, Chen Zhong
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Using machine learning algorithms (supervised) to generate automatically labeled dataset for detecting digital dating abuse from text messages

Tania Roy, Thomas Maranzatto, Zachary Loomas
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Enhancing Accuracy and Explainability of Recidivism Prediction Models

Tammy Babad, Soon Ae Chun
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Recognition of Object Presence and Material Type in a Water Container Using High Frequency Ultrasound

Mehul Vishal Sadh, Manfred Huber
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Medical Relevancy of Cancer-Related Tweets and Its Relation to Misinformation

Melanie McCord, Fahmida Hamid
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A Comparative Study of Imputation Methods for Time Series Data

Daniyal Khan, Alina Lazar
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Aggregating Procedure for Fuzzy Cognitive Maps

Maikel Leon Espinosa
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Enhancing Knowledge Management in Healthcare: An Embedding Fusion Approach to Business Rule Representation

Brady Berg, Mukundan Agaram, Shikha Mohindra, Abhinav Nadh Thirupathi
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CyberReco:~Cybersecurity Workforce Readiness Recommender System

Ramoni Lasisi
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Biogeography-based optimization for feature selection

Mandana Gholami, Malek Mouhoub, Samira Sadaoui
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Tutorials

Topological Data Analysis in Natural Language Processing -- A Tutorial

Wlodek Zadrozny
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An Introduction to Neural Networks

David Bisant
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Graph Neural Networks for Link Prediction

Alina Lazar
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