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36th FLAIRS Conference 2023: Clearwater Beach, FL, USA
- Michael Franklin, Soon Ae Chun
:
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2023, Clearwater Beach, FL, USA, May 14-17, 2023. AAAI Press 2023
Preface
- Soon Ae Chun
Preface.
Committee Listings
- Soon Ae Chun:
The FLAIRS-36 Committee List.
Invited Talk Abstracts
- Soon Ae Chun
FLAIRS-36 Invited Talk Abstracts.
Main Track Proceedings
- Alen Chih-Yuan Li
Multiple View Summarization Framework for Social Media. - John Emerson, Yllias Chali:
Multi-hop Question Generation without Supporting Fact Information. - Ava Downey
Evaluating Fairness in Predictive Policing Using Domain Knowledge. - Mateo Gannod, Nicholas Masto, Collins Owusu
Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat. - Lucas Welch, Xudong Liu:
MarshCover: A Web-based Tool for Estimating Vegetation Coverage in Marsh Images Using Convolutional Neural Networks. - Sasha Strelnikoff
Causanom: Anomaly Detection With Flexible Causal Graphs. - Mohith Rajesh
Weight-based multi-stream model for Multi-Modal Video Question Answering. - Johannes Pauli, Maximilian Hoffmann
Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning Using Graph Neural Networks and Transfer Learning. - Tanja Schramm, Rainer Knauf:
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. - Matteo Francobaldi
TinderAI: Support System for Matching AI Algorithms and Embedded Devices. - Conrad Testagrose
Comparative Study Between Vision Transformer and EfficientNet on Marsh Grass Classification. - Jack McKeown, Geoff Sutcliffe:
Reinforcement Learning for Guiding the E Theorem Prover. - Logan Cummins, Brad Killen, Somayeh Bakhtiari Ramezani, Shahram Rahimi, Maria Seale, Sudip Mittal:
A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries. - Connor Douglas
Computing an Optimal Pitching Strategy in a Baseball At-Bat. - Christoforos Christoforou, Timothy C. Papadopoulos
Regularized Neural-Congruency on Spoonerism: Toward exploring the neural-underpinnings of reading disorders on phonological processing tasks. - Fattah Muhammad Tahabi
DynamicG2B: Dynamic Node Classification with Layered Graph Neural Networks and BiLSTM. - Simon Schoenbeck
ARCHIMEDES: Active Reasoning Conducted with Heterogeneous Information Monitors for Evading Dangers and Extended Surveillance. - Linrui Zhang
A Study of Compressed Language Models in Social Media Domain. - Philippe Hérail
Leveraging Demonstrations for Learning the Structure and Parameters of Hierarchical Task Networks. - Aayush Singha Roy
Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems. - Prativa Pokhrel, Alina Lazar
A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data. - Simon Schiff
Query Transformation for Processing Streams in Decision-making Agents. - Damiem Rolon-Merette
Using Bidirectional Associative Memory Neural Networks to Solve the N-bit Task. - Behafarid Mohammad Jafari, Xiao Luo, Ali Jafari:
Unsupervised Keyword Extraction for Hashtag Recommendation in Social Media. - Jeevan Chapagain
SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-Explanation During Source Code Comprehension. - Marcos A. de Oliveira Jr., Gregory Sedrez, Gerson Geraldo H. Cavalheiro:
ML-based Plant Stress Detection from IoT-sensed Reduced Electromes. - Omkar Thakoor, T. K. Satish Kumar:
Dynamic FastMap: An Efficient Algorithm for Spatiotemporal Embedding of Dynamic Graphs. - Maximilian Hoffmann
Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning. - Daniel Otten, Thomas Hänel, Tim Römer, Nils Aschenbruck:
Generating more Realistic Packet Loss Patterns for Wireless links using Neural Networks. - Ange Tato
Towards a multi-modal Deep Learning Architecture for User Modeling.
Special Track: Applied Natural Language Processing
- Lubomir Ivanov
A Multi-Dictionary Approach to Abstractness/Concreteness-Based Authorship Attribution. - Zainab Albujasim
Improving Word Embedding Using Variational Dropout. - Debaditya Pal
Comparing Statistical Models for Retrieval based Question-answering Dialogue: BERT vs Relevance Models. - Florian Baud
Answering Student Queries with a Supervised Memory Conversational Agent. - Dmytro Vitel, Stephen Steinle, John Licato
Enforcing Grammar in Code Synthesis with Transformers. - Nobal B. Niraula, Jeevan Chapagain
DanfeNER - Named Entity Recognition in Nepali Tweets. - Adib Mosharrof
Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema. - Zobaida Alssadi
Security of Text to Icon/Image conversions. - Julia da Rocha Junqueira
BERTimbau in Action: An Investigation of its Abilities in Sentiment Analysis, Aspect Extraction, Hate Speech Detection, and Irony Detection. - John Licato, Logan Fields
Code Generation for Collectible Card Games with Complex APIs. - Esraa Aldreabi
Using Deep Learning to Detect Islamophobia on Reddit. - Anaïs Ollagnier, Elena Cabrio, Serena Villata:
Harnessing Bullying Traces to Enhance Bullying Participant Role Identification in Multi-Party Chats. - Matteo Muffo
SBERTiment: A New Pipeline to Solve Aspect Based Sentiment Analysis in the Zero-Shot Setting. - Sachin Pawar
Dig Here! Extracting and Using Knowledge from Financial Audit Reports.
Special Track: Uncertain Reasoning
- Luigi Portinale
Hybrid Bayesian Networks for the Reliability Analysis of Systems with Continuous Variables. - Jonas Haldimann
Conditionals, Infeasible Worlds, and Reasoning with System W. - Annet Onnes, Mehdi Dastani, Silja Renooij
Bayesian Network Conflict Detection for Normative Monitoring of Black-Box Systems. - Christoph Beierle, Jonas Haldimann
Observational Equivalence of Conditional Belief Bases. - Marco Wilhelm
Prioritizing Answer Sets Based on Conditional Expert Knowledge. - Stefano Bistarelli
Towards a Temporal Probabilistic Argumentation Framework.
Special Track: Autonomous Robots and Agents
- Mahesh Ranaweera, Qusay H. Mahmoud:
Evaluation of Techniques for Sim2Real Reinforcement Learning. - Isaiah Chism, Daniel Plante, Md. Suruz Miah
Area Coverage Optimization using Networked Mobile Robots with State Estimation. - Bhaskar Trivedi
Learning Sensor Based Risk Map Augmentation for Risk Aware UAS Operation. - Luca Baccino, Serena Villata:
How Does a Minority Opinion Spread? - An Agent-Based Model on the Opposition Between a Silent Majority and a Loud Minority. - Sami Abuhaimed, Selim Karaoglu, Sandip Sen
Choosing the Task Allocator: Effect on Performance and Satisfaction in Human-Agent Team. - Jacob Brue
Relative Performance of Bilateral Multiattribute Negotiation Strategies in Open Markets. - Tuan Dang, Khang Nguyen
PerFC: An Efficient 2D and 3D Perception Software-Hardware Framework for Mobile Cobot. - Jack Vice
Visual Episodic Memory-based Exploration.
Special Track: Semantic, Logics, Information Extraction and AI
- Clayton Peterson
Further Thoughts on Defining f(x) for Ethical Machines: Ethics, Rational Choice, and Risk Analysis. - Luis-Gil Moreno-Jiménez
Automatic generation of paragraph templates using a Textual Energy approach: - Applications in Literary Text production. - Asim Abbas, Mutahira Khalid, Sebastian Chalarca, Fazel Keshtkar
Enhancing Biomedical Semantic Annotations through a Knowledge Graph-Based Approach. - Kacy Adams, Deborah L. McGuinness
Semantics-based Framework for Incentivized Research Data Sharing. - Simona Ondrcková
Lessons Learned from the CYK Algorithm for Parsing-based Verification of Hierarchical Plans. - Kristýna Pantucková
Parsing-Based Recognition of Hierarchical Plans Using the Grammar Constraint.
Special Track: Neural Networks and Data Mining
- Vishal Perekadan, Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao, Hovannes Kulhandjian, Michel Kulhandjian:
MOD3NN: A Framework for Automatic Signal Modulation Detection Using 3D CNN. - Leonid Schwenke
Making Time Series Embeddings More Interpretable in Deep Learning - Extracting Higher-Level Features via Symbolic Approximation Representations. - Hyeong Gyu Jang, Jonathan P. Leidig, Greg Wolffe
Towards Species-Specific Coral Classification in Reef Monitoring Efforts. - Nazmul Shahadat, Anthony S. Maida:
Deep Separable Hypercomplex Networks. - Tomohiro Inoue, Noboru Murata, Taiki Sugiura:
Visualization of Learning Process in Feature Space. - Aruna Jammalamadaka, Lingyi Zhang, Joseph F. Comer, Sasha Strelnikoff
Semi-supervised Learning of Visual Causal Macrovariables. - Leonid Schwenke
Identifying Informative Nodes in Attributed Spatial Sensor Networks Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach. - Subharag Sarkar
Capturing Preferences of New Users in Generative Tasks with Minimal Interactions Collaborative Filtering Using Siamese Networks and Soft Clustering. - Sudipta Singha Roy, Robert E. Mercer
Identifying Protein-Protein Interaction using Tree-Transformers and Heterogeneous Graph Neural Network. - Raghav Vadhera, Manfred Huber:
Learning Policies for Neural Network Architecture Optimization Using Reinforcement Learning.
Special Track: Security, Privacy and Ethics in AI
- Joseph Bao, Murat Kantarcioglu
IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception. - Bhanu Jain, Manfred Huber, Ramez Elmasri:
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization. - Hyesung Park, Hunyeong Kwon:
Analysis of Artificial Intelligence regulations for trustworthiness. - Syed Hammad Ahmed
Malicious or Benign? Towards Effective Content Moderation for Children's Videos. - Misti Jo Payton
Impact of Artificial Intelligence Regulations on Organizational Risks.
Special Track: AI in Healthcare Informatics
- Mauro Vallati, Stefania Orini
On the Comparison of Markov Chains-based Models in Process Mining for Healthcare: A Case Study. - David Grethlein, Venk Kandadai, Will Dampier:
Classification of Drivers with HIV-Associated Neurocognitive Disorders using Virtual Driving Test Performance Data.
Special Track: Artificial Intelligence in Games, Serious Games, and Multimedia
- Viswanath Chadalapaka
Leveraging Graph Networks to Model Environments in Reinforcement Learning. - Robert A. Sottilare
Considerations in the Design of Realistic Agents for Serious Games. - Keith Brawner, Ning Wang
Teaching Artificial Intelligence (AI) with AI for AI applications. - Míriam Born
Modeling organizational level of agents with moise+ to a natural resources management RPG. - Robert Kewley, Chris Argenta, Christopher McGroarty:
Tradeoffs within Representational Behaviors: Multi-Objective Optimization Strategies for Simulated Military Units. - Logan Lebanoff, Nicholas Paul, Christopher Ballinger, Patrick Sherry, Gavin Carpenter, Charles Newton:
A Comparison of Behavior Cloning Methods in Developing Interactive Opposing-Force Agents. - Sarah N. Kitchen, Christopher McGroarty, Timothy Aris:
Model Representation Considerations for Artificial Intelligence Opponent Development in Combat Games. - Timothy Aris, Volkan Ustun, Rajay Kumar:
Learning to Take Cover with Navigation-Based Waypoints via Reinforcement Learning.
Special Track: Explainability, Bias, and Trust
- Katherine L. Phillips, Katherine E. Brown
Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models. - Bryan Lavender, Sami Abuhaimed, Sandip Sen:
Relative Effects of Positive and Negative Explanations on Satisfaction and Performance in Human-Agent Teams. - Richard Borowski
On Bounding the Behavior of a Neuron. - Mahdi Hadj Ali
Interpreting Predictive Models through Causality: A Query-Driven Methodology. - Christopher Harris
Mitigating Age Biases in Resume Screening AI Models.
Special Track: AI for Urban Traffic Control and Mobility
- Alfonso Corrado, Simona Barba, Isabel Carozzo, Simone Nardi:
Smart Passenger Center: Real-Time Optimization of Urban Public Transport. - Matyás Svadlenka
Towards a Framework for Intelligent Urban Traffic Routing. - David Neiman, Zachary B. Rubinstein, Stephen F. Smith:
Dynamic Route Guidance in Vehicle Networks by Simulating Future Traffic Patterns.
Posters
- Charlotte Blot, Katia Weickert, Arthur Payros, Marta Avalos, Cédric Gil-Jardiné:
Serious Games for Training in Patient Flow Management in Emergency Departments: State of the Art and Perspectives - Serious Games for Training ED professionals. - Nelly Elsayed, Zag ElSayed, Murat Ozer
Machine Learning for Early Mental Health Support and Offenders Correction. - Jinghong Li
Automatic Summarization for Academic Articles using Deep Learning and Reinforcement Learning with Viewpoints. - Adriana Giret
AI-supported Digital Twins in applications related to sustainable development goals. - Neda Keivandarian
A Survey on Sentiment Classification Methods and Challenges. - Thadde Rolon-Merette, Damiem Rolon-Merette
Towards binary encoding in Bidirectional Associative Memories. - Andre Thevapalan
An Interactive Modelling Environment for Designing Warehouse Layouts Based on ASP. - Sunkanmi Oluwadare
A Survey of Unsupervised Learning Algorithms for Zero-Day Attacks in Intrusion Detection Systems. - Miguel A. Salido
Rooster Colony Algorithm: A two-step Multi-Swarm Optimization Approach. - Marius Silaghi, Ameerah Alsulami
On Enhancing Security for Division Homomorphism with ElGamal. - James Cha, Teryn Cha, Sung-Hyuk Cha:
k-medianoids Clustering Algorithm. - David Genest
Preliminary results of a conceptual graph query language. - Mehlam Shabbir
Heart Murmur Classification in Phonocardiogram Representations Using Convolutional Neural Networks. - Christian Pérez
A Q-Learning Proposal for Tuning Genetic Algorithms in Flexible Job Shop Scheduling Problems. - Gabriel Gomes, Ulisses Brisolara Corrêa, Larissa A. de Freitas
GABSA-PT: Graph Neural Networks for Aspect-level Sentiment Analysis in Portuguese Language. - Ed Marcavage, Jake Mason, Chen Zhong
Predicting the Effectiveness of Blockchain Bug Bounty Programs. - Tania Roy, Thomas Maranzatto
Using machine learning algorithms (supervised) to generate automatically labeled dataset for detecting digital dating abuse from text messages. - Tammy Babad, Soon Ae Chun:
Enhancing Accuracy and Explainability of Recidivism Prediction Models. - Mehul Vishal Sadh
Recognition of Object Presence and Material Type in a Water Container Using High Frequency Ultrasound. - Melanie McCord
Medical Relevancy of Cancer-Related Tweets and Its Relation to Misinformation. - Daniyal Khan, Alina Lazar:
A Comparative Study of Imputation Methods for Time Series Data. - Maikel León Espinosa
Aggregating Procedure for Fuzzy Cognitive Maps. - Brady Berg, Mukundan Agaram, Shikha Mohindra, Abhinav Nadh Thirupathi:
Enhancing Knowledge Management in Healthcare: An Embedding Fusion Approach to Business Rule Representation. - Ramoni O. Lasisi
CyberReco: ~Cybersecurity Workforce Readiness Recommender System. - Mandana Gholami, Malek Mouhoub
Biogeography-based optimization for feature selection. - Jack McKeown, Geoff Sutcliffe:
An Interactive Interpretation Viewer for Typed First-order Logic. - Logan Fields
Player Identification for Collectible Card Games with Dynamic Game States. - Ziad Kobti
Using Knowledge Graph Embedding for Fault Detection - A Case Study in Electric Vehicle Parts Assembly. - Mohammad Nagahisarchoghaei, Mirhossein Mousavi Karimi
Generative Local Interpretable Model-Agnostic Explanations.
Tutorials
- Wlodek Zadrozny:
Topological Data Analysis in Natural Language Processing - A Tutorial. - David Bisant:
An Introduction to Neural Networks. - Alina Lazar
Graph Neural Networks for Link Prediction.
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