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ORCID37th FLAIRS Conference 2024: Sandstin Beach, FL, USA
- Soon Ae Chun, Douglas A. Talbert:
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, FLAIRS 2024, Sandestin Beach, FL, USA, May 19-21, 2024. AAAI Press 2024
Preface
- Soon Ae Chun, Douglas A. Talbert
:
Preface.
Invited Talk Abstracts
- Invited Talk Abstracts.
Main Track Proceedings
- Kendra Givens, David Ludwig, Joshua Phillips:
STrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets. - Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein:
Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination. - Haodi Jiang, Harshitha Polsani, Yuexin Liu:
DeepGray: Malware Classification Using Grayscale Images with Deep Learning. - Yllias Chali, Wenzhao Zhu:
Abstractive Text Summarization Based on Neural Fusion. - Farhat Lamia Barsha, William Eberle:
Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection. - Bharat Prakash, Tim Oates, Tinoosh Mohsenin:
Using LLMs for Augmenting Hierarchical Agents with Common Sense Priors. - Ala Jararweh, Abdullah Mueen:
POLOR: Leveraging Contrastive Learning to Detect Political Orientation of Opinion in News Media. - Bruno Cascaes Alves, Marla Pereira Melo, Artur Melchiori Cerri, Larissa Astrogildo de Freitas, Diana Francisca Adamatti, Marilton Sanchotene de Aguiar:
A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals. - Habib Irani, Vangelis Metsis:
Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy. - Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani, Zag ElSayed:
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification. - Michael Huelsman:
Preference Reasoning Under Partial Alternatives. - Simona Ondrcková, Kristýna Pantucková, Roman Barták:
Handling Empty Decomposition Methods in Hierarchical Planning. - Rohan Leekha, Olga Simek, Charlie K. Dagli:
War of Words: Harnessing the Potential of Large Language Models and Retrieval Augmented Generation to Classify, Counter and Diffuse Hate Speech. - Alessandro Abluton, Luigi Portinale:
Knowledge Distillation for a Domain-Adaptive Visual Recommender System. - Nazmul Shahadat:
Lung and Colon Cancer Histopathological Image Classification Using 1D Convolutional Channel-based Attention Networks. - Linrui Zhang, Qixiang Pang, Belinda Copus:
What Matters in Irony Detection: An Extended Feature Engineering for Irony Detection in English Tweets. - Jonathan Henning, Hanna King, Sophie Ngo, Jake Shore, Alex Gardner, Chris Alvin, Grace Stadnyk:
Lattice-Based Generation of Euclidean Geometry Figures. - Onur Bilgin, John Licato:
Determining Legal Relevance with LLMs using Relevance Chain Prompting. - Abderrahmane Boukontar, Jean-François Condotta, Yakoub Salhi:
On Clustering in Qualitative Spatial and Temporal Reasoning. - Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar:
Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning. - Sahil Sahil, P. Sreenivasa Kumar:
Bridging the Knowledge Gap: Improving BERT models for answering MCQs by using Ontology-generated synthetic MCQA Dataset. - Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila:
Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data. - Haodi Jiang, Ryoma Matsuura, Jason T. L. Wang:
Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods. - Md. Akib Zabed Khan, Agoritsa Polyzou:
Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools. - Andrey Skripnikov, Tania Roy, Fehmi Neffati, Melvin Adkins, Marcus Beck:
Twitter User Account Classification to Gain Insights into Communication Dynamics and Public Awareness During Tampa Bay's Red Tide Events. - Kristýna Pantucková, Simona Ondrcková, Roman Barták:
Using Earley Parser for Verification of Totally Ordered Hierarchical Plans. - Neha Mohan Kumar, Sheikh Rabiul Islam:
Knowledge-infused and Explainable Malware Forensics. - Orazio Rillo, T. K. Satish Kumar:
Constraint Composite Graph-Based Weighted CSP Solvers: An Empirical Study. - Brenden Latham, Vladimir Ufimtsev, Ayan Dutta:
Matching-based Coalition Formation for Multi-robot Task Assignment Under Partial Uncertainty. - Nazmul Shahadat, Anthony S. Maida:
Improving Axial-Attention Network via Cross-Channel Weight Sharing. - Joydeep Biswas:
Teaching Robots to "Get It Right". - Sherri Weitl-Harms, John D. Hastings, Jay H. Powell:
Toward Automated Knowledge Discovery in Case-Based Reasoning. - Tamim Khatib, O. Patrick Kreidl, Ayan Dutta, Ladislau Bölöni, Swapnoneel Roy:
On GAN-based Data Integrity Attacks Against Robotic Spatial Sensing.
Special Track: AI in Healthcare Informatics
- Mahmood Khalghollah, Esmaeil Shakeri, Azam Zare, Behrouz H. Far, Amir Sanati-Nezhad:
Fluid Path Detection Model for Lab on a Chip Images Using Deep Learning-Based Segmentation Approach. - Annie Wu, Eashan Singh, Ivy Zhang, Anika Bilal, Anna Casu, Richard Pratley:
Machine learning prediction of severity and duration of hypoglycemic events in type 1 diabetes patients. - Marta Avalos, Dalia Cohen, Dylan Russon, Melissa Davids, Oceane Doremus, Gabrielle Chenais, Eric Tellier, Cédric Gil-Jardiné, Emmanuel Lagarde:
Detecting Human Bias in Emergency Triage Using LLMs - Literature Review, Preliminary Study, and Experimental Plan. - Simon Schiff, Sebastian Wolfrum, Ralf Möller, Mattis Hartwig:
Using Data Synthesis to Improve Length of Stay Predictions for Patients with Rare Diagnoses.
Special Track: AI for Urban Traffic Control and Mobility
- Ioana Silaghi, Zobaida Alssadi, Marius Silaghi:
Informed Traffic Signal Preemption for Emergency Vehicles.
Special Track: AI Workforce Development and Supportive Education
- Clayton Peterson:
Embedding Ethics Into Artificial Intelligence: Understanding What Can Be Done, What Can't, and What Is Done.
Special Track: Applied Natural Language Processing
- Esraa Aldreabi, Khawlah M. Harahsheh, Mukul Dev Chhangani, Chung-Hao Chen, Jeremy Blackburn:
Beyond Binary: Revealing Variations in Islamophobic Content with Hierarchical Multi-Class Classification. - Tanvi Sandhu, Ziad Kobti:
Exploration of Word Embeddings with Graph-Based Context Adaptation for Enhanced Word Vectors. - Felix L. V. da Silva, Artur Cerri, Ulisses Brisolara Corrêa, Larissa A. de Freitas:
The Impact of Data Augmentation on the Hate Speech Detection in Portuguese Language. - Mohammad Affan Habib, Shehryar Amin, Muhammad Oqba, Sameer Jaipal, Muhammad Junaid Khan, Abdul Samad:
TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG). - Esraa Aldreabi, Mukul Dev Chhangani, Khawlah M. Harahsheh, Justin M. Lee, Chung-Hao Chen, Jeremy Blackburn:
Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age. - Mina Rajaei Moghadam, Mosab Rezaei, Miguel Williams, Gülsat Aygen, Reva Freedman:
Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora. - Julia da Rocha Junqueira, Ulisses Brisolara Corrêa, Larissa A. de Freitas:
Transformer Models for Brazilian Portuguese Question Generation: An Experimental Study. - Lubomir Ivanov, Félix Pérez:
Authorship Attribution of English Poetry using Sentiment Analysis. - Jean-Thomas Baillargeon, Luc Lamontagne:
Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models. - Gabriel Gomes, Alexandre Thurow Bender, Arthur Cerveira, Larissa A. de Freitas, Ulisses Brisolara Corrêa:
Evaluating Graph Attention Networks as an Alternative to Transformers for ABSA Task in Low-Resource Languages. - Ghaith Dekhili, Ngoc Tan Le, Fatiha Sadat:
Bridging the Gap: A Comprehensive Study on Named Entity Recognition in Electronic Domain using Hybrid Statistical and Deep Knowledge Transfer.
Special Track: Artificial Intelligence in Games, Serious Games, and Multimedia
- Christopher Durham, Chris Alvin:
Shortest Walk in a Dungeon Graph. - Reid Sawtell, Sarah N. Kitchen, Timothy Aris, Christopher McGroarty:
Learning Cohesive Behaviors Across Scales for Semi-Cooperative Agents. - Caleb Koresh, Volkan Ustun, Rajay Kumar, Timothy Aris:
Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization. - Matthew Litvinas:
Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models. - Robert A. Sottilare, Christopher Ballinger, Matthew Litvinas, Shuowen Hu, Christopher McGroarty:
Using Genetic Algorithms to Automate Scenario Generation and Enhance the Training Value of Serious Games for Adaptive Instruction.
Special Track: Autonomous Robots and Agents
- Giovani Farias, Paulo Rodrigues, Diana Francisca Adamatti, Eder Mateus Nunes Gonçalves:
Model for Knowledge Transfer in Agent Organizations: a Case Study on Moise+. - Zongyao Yi, Martin Günther, Joachim Hertzberg:
The Dynamic Anchoring Agent: A Probabilistic Object Anchoring Framework for Semantic World Modeling. - Yaofang Zhang, Adnan Darwiche:
Which Actions Are Always Necessary in Fully-Observable Non-Deterministic Planning? - Andre Rossi Kuroswiski, Annie S. Wu, Angelo Passaro:
Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Decisions with Expertise-Informed Tasks. - Ruoxi Li, Dana S. Nau, Mark Roberts, Morgan Fine-Morris:
Automatically Learning HTN Methods from Landmarks.
Special Track: Neural Networks and Data Mining
- Momoreoluwa Ayinde, Sheikh Rabiul Islam, Iman Dehzangi, Fahmida Tasnim Lisa:
Multimodal and Explainable Android Adware Classification Techniques. - Fares Alkhawaja, Manar Amayri, Nizar Bouguila:
A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework. - Ocheme Anthony Ekle, William Eberle:
Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams. - Fares Alkhawaja, Manar Amayri, Nizar Bouguila:
Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture.
Special Track: Explainable, Fair, and Trustworthy AI
- Moumita Kamal, Douglas A. Talbert:
Beyond Size and Accuracy: The Impact of Model Compression on Fairness. - Phillip Honenberger, Omolade Ola, William Mapp, Pilhwa Lee:
Effects of Matching on Evaluation of Accuracy, Fairness, and Fairness Impossibility in AI-ML Systems. - Chang Hyun Lee, Hun Yeong Kwon, Kyung Jin Cha:
Sharing Accountability of Versatile AI Systems: The Role of Developers and Practitioners. - Mouhamadou-Lamine Ndao, Genane Youness, Ndèye Niang, Gilbert Saporta:
Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness. - Alen Chih-Yuan Li, Soon Ae Chun, James Geller:
Enhanced Multi-Class Detection of Fake News. - Kerrie Hooper, Stephanie Lunn:
A Scoping Review of Transparency and Explainability in AI Ethics Guidelines.
Special Track: Security, Privacy, Trust and Ethics in AI
- Syed Hammad Ahmed, Muhammad Junaid Khan, Gita Sukthankar:
Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion. - Ji-Hun Lim, Jeongeun Seo, Hun Yeong Kwon:
Evolution of Norms for a Trustworthy AI Society and Our Responsibilities and Roles. - Jeremy Potts, Muhammad Ismail:
Hybrid Cyber-Physical Intrusion Detection System for Smart Manufacturing.
Special Track: Semantic, Logics, Information Extraction and AI
- Sebastian Chalarca, Asim Abbas, Mutahira Khalid, Fazel Keshtkar, Syed Ahmad Chan Bukhari:
Enhancing Biomedical Knowledge Representation Through Knowledge Graphs. - Bader Alshemaimri, Nafla Alrumayyan, Reem Alqadi:
GCN-Based Issues Classification in Software Repository. - Éric André Poirier, Ansta Nasandratra Nirina Avo:
Decoding Complexity: A Mathematical Framework for Enhanced Translation Comprehension. - Kalidou Moussa Sow, Nadia Ghazzali:
Developing a predictive model using multivariate analysis and Long Short-Term Memory (LSTM) to assess corrosion degradation in mining pipeline thickness. - Anca Pascu, Laurent Nana, Jean Vareille, François Monin:
On Soft Sets and Formal Concept Analysis (FCA) as mathematical categorization systems - An Engineering Application.
Special Track: Uncertain Reasoning
- Marco Wilhelm, Lars-Phillip Spiegel, Gabriele Kern-Isberner:
Intrinsic Prioritization in Answer Set Programming Based on an Adapted Notion of Tolerance. - Haiying Huang, Adnan Darwiche:
Causal Unit Selection using Tractable Arithmetic Circuits. - Christoph Beierle, Aron Spang, Jonas Haldimann:
A Partial MaxSAT Approach to Nonmonotonic Reasoning with System W. - Khanh Tra Nguyen Tran, Jonathan Young, Sravya Kondrakunta:
Initial Goal Allocation for Multi-agent Systems. - Malte Luttermann, Johann Machemer, Marcel Gehrke:
Efficient Detection of Exchangeable Factors in Factor Graphs.
Posters
- Sung-Hyuk Cha, Teryn Cha, Teja Vuppu:
Enhancing Nearest Neighbor Classification Performance through Dynamic Time Warping with Progressive Constraint. - Asim Abbas, Sebastian Chalarca, Iram Wajahat, Fazel Keshtkar, Syed Ahmad Chan Bukhari:
Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing. - Michael Kimollo, Xudong Liu:
Aircraft Engine Remaining Useful Life Prediction Using Machine Learning. - Teryn Cha, James Cha, Samuel Lim, Soon Ae Chun:
Towards Youth Mental Health Support: Developing a Prototype AI Counselor. - Iram Wajahat, Fazel Keshtkar, Syed Ahmad Chan Bukhari:
Advancing Precision Healthcare Analytics: Machine Learning Approach-es for Diabetes Prognosis using the PIMA Indian Dataset. - Sheuli Paul, Marius Silaghi, Veton Këpuska, Akram Alghanmi, Steven Liu:
Mobile Fog AI for Internet of BattleField Things (IoBT). - Angel Star, Conor Pommer, Marius Silaghi:
Good Apples / Bad Apples: Detection and classification of damage. - Timothy Aris, Volkan Ustun, Rajay Kumar:
Training Reinforcement Learning Agents to React to an Ambush for Military Simulations. - Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani, Zag ElSayed:
Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition. - Thomas Moore-Pizon, Nic DePaula, Loni Hagen:
Government Health Communication During the COVID-19 Pandemic: A BERT Topic Modeling Approach. - Elizabeth Chen, Ron Artstein:
Augmenting Training Data for a Virtual Character Using GPT-3.5. - Anas El Kouaiti, Francesco Percassi, Alessandro Saetti, Mauro Vallati:
The Impact of PDDL+ Language Features on Planning Performance: An Empirical Analysis on a Real-world Case Study. - Viorel D. Silaghi, Zobaida Alssadi, Ben Mathew, Majed Alotaibi, Ali Alqarni, Marius Silaghi:
Game Theoretic Analysis of the Feedback Loop Caused by Widely Available Computer Estimation on Market Values. - Eliás Cizl, Jirí Svancara, Roman Barták:
The Effectiveness of Autonomous Intersections in a City. - Robert Kewley, Wes Milks, Christopher McGroarty, Timothy Aris:
Terrain-Aware Military Planning Agents. - Christoforos Christoforou, Jacqueline M. Torres, Timothy C. Papadopoulos, Maria Theodorou:
Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia. - Aboubacar Abdoulaye Soumana, Prajwol Lamichhane, Mehlam Shabbir, Xudong Liu, Mona Nasseri, Scott Helgeson:
Pulmonary Disease Classification on Electrocardiograms Using Machine Learning. - Lixing Liu, Volkan Ustun, Rajay Kumar:
Leveraging Organizational Hierarchy to Simplify Reward Design in Cooperative Multi-agent Reinforcement Learning. - Caleb Harrison, Phadungsak Tubuntoeng, Xudong Liu:
Predicting Solar Energy Output On Meteorological Time-Series Data Using Machine Learning. - Fazel Keshtkar, Neelesh Rastogi, Sebastian Chalarca, Syed Ahmad Chan Bukhari:
AI Tutor: Student's Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation. - Ben Mathew, Akram Alghanmi, Marius Silaghi:
Image Interpretation Confusion Resolution by Collaboration. - Pallas-Athena Cain, Trang Hoang, Janyl Jumadinova:
Autonomous Underwater Robot for Water Quality Measurement of Northwest Pennsylvania Lakes. - Mohamed Zakaria Kurdi:
Dementia Detection with Phonetic and Phonological Features. - Ricardo Arend Machado, Athur Zelindro, Eder Mateus Nunes Gonçalves, Diana Francisca Adamatti, Giovani Farias:
Automated Mapping Tool from Moise+ to Colored Petri Nets. - Sarah N. Kitchen, Reid Sawtell, Anthony Chavez, Timothy Aris:
Reinforcement Learning Agents with Generalizing Behavior. - Zag ElSayed, Nathan Suer, Grace Westerkamp, Jack Yanchen Liu, Makoto Miyakoshi, Craig A. Erickson, Ernest V. Pedapati:
CNN Brain Label-Maker: Computer Vision Based ICA Rejection EEG based System Architecture. - Kerrie Hooper, Stephanie Lunn:
Exploring AI Ethics Syllabi Through NLP Cluster Analysis. - Yasser Abduallah, Vinay Ram Gazula, Jason T. L. Wang:
An Interpretable Transformer Model for Operational Flare Forecasting. - Eric L. Brown, Douglas A. Talbert:
Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems. - Yulia Kumar, Anjana Manikandan, Patricia Morreale, J. Jenny Li:
Growth Mindset Emojifier Multimodal App. - Chaya Liebeskind, Barbara Lewandowska-Tomaszczyk:
Opinion Identification using a Conversational Large Language Mode. - John Kolen:
Optimizing Dynamic Airlift Operations: Winning Strategies in the AFRL Airlift Challenge. - Christoforos Christoforou, Amritpal Singh, Antonios Takos:
Your Brain on STEM Video Lessons: Exploring Neurophysiological Pat-terns and Educational Engagement to Video Content. - Jiatao Kuang, Teryn Cha, Sung-Hyuk Cha:
Enhancing Image Classification through Exploitation of Hue Cyclicity in Convolutional Neural Networks. - Keith Brawner:
Moving to Advanced Research on Human Machine Interface Design. - Brianna D'Urso, Sheikh Rabiul Islam, Md. Kamruzzaman Sarker, Ingrid Russell:
Severe Weather Forecasting via the Sole Use of Satellite Data. - Ankur Chemburkar, Andrew S. Gordon, Andrew Feng:
Evaluating Vision-Language Models on the TriangleCOPA Benchmark. - Dylan Russon, Marta Avalos, Ariel Guerra-Adames, Cédric Gil-Jardiné, Emmanuel Lagarde:
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. - Changhyun Lee, Hun Yeong Kwon, Kyung Jin Cha:
Human Cognition for Mitigating the Paradox of AI Explainability: A Pilot Study on Human Gaze-based Text Highlighting. - Sheuli Paul, Marius Silaghi, Veton Këpuska, Akram Alghanmi, Steven Liu:
Perception Model for Mobile Robots Assisting Humans in Decision-Making during Complex Situations. - Emily Struble, Maikel León Espinosa, Erotokritos Skordilis:
Intelligent Prevention of DDoS Attacks using Reinforcement Learning and Smart Contracts. - Maryam Kebari, Annie S. Wu:
Genetic algorithm feature selection resilient to increasing amounts of data imputation. - Loni Hagen, Diego Ford, Jahnae Edwards, Ly Dinh, Nic DePaula, Joshua M. Scacco:
How did an election fraud narrative spread online? Testing theories us-ing machine learning and natural language processing.
Tutorials
- Muhammad Ismail, Mohamed Shaban, Samuel Yen-Chi Chen:
Hands-On Introduction to Quantum Machine Learning. - Clayton Peterson:
Ethics of AI Explained. - Luigi Portinale:
An Introduction to Probabilistic Graphical Models.
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