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ORCID35th FLAIRS Conference 2022: Hutchinson Island, Jensen Beach, FL, USA
- Roman Barták, Fazel Keshtkar, Michael Franklin:
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2022, Hutchinson Island, Jensen Beach, Florida, USA, May 15-18, 2022. 2022
Preface
- Fazel Keshtkar:
Preface.
Invited Talk Abstracts
- Fazel Keshtkar:
FLAIRS-35 Invited Talk Abstracts.
Main Track Proceedings
- Adam Pease, Stephan Schulz:
Contradiction Detection and Repair in a Large Theory. - Robert Wilson, David W. King, Gilbert L. Peterson:
Evolution of Combined Arms Tactics in Heterogeneous Multi-Agent Teams. - Stanislaw J. Purgal, Cezary Kaliszyk
:
Adversarial Learning to Reason in an Arbitrary Logic. - Jeevan Chapagain, Lasang Jimba Tamang, Rabin Banjade, Priti Oli, Vasile Rus:
Automated Assessment of Student Self-explanation During Source Code Comprehension. - Graeme Roberts, Gilbert L. Peterson:
Automated Computer Network Exploitation with Bayesian Decision Networks. - Erika Cardenas, Connor Shorten, Taghi M. Khoshgoftaar, Borivoje Furht:
A Comparison of House Price Classification with Structured and Unstructured Text Data. - Rahol Kumar, Alexander Schultheis, Lukas Malburg, Maximilian Hoffmann, Ralph Bergmann:
Considering Inter-Case Dependencies During Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning. - Alexandre Letard, Tassadit Amghar, Olivier Camp, Nicolas Gutowski:
COM-MABs: From Users' Feedback to Recommendation. - Tong Gao, Shivang Singh, Raymond J. Mooney:
Towards Automated Error Analysis: Learning to Characterize Errors. - Tahereh Arabghalizi, Alexandros Labrinidis:
Context-aware Multi-stakeholder Recommender Systems. - Kapotaksha Das, Mohamed Abouelenien, Mihai Burzo, Rada Mihalcea:
Towards Imbalanced Multiclass Driver Distraction Identification. - Majed Alowaidi, Mohammed Alshehri:
Domain Adaptive Scene Text Localization in Night View Images. - Alen Chih-Yuan Li, Soon Ae Chun, James Geller:
Stemming the Tide of Fake News about the COVID-19 Pandemic. - Olivier Stähli, Thomas Ost, Thomas Studer:
Development of an AI-based bioacoustic wolf monitoring system. - Rob Kewley, Chris Argenta, Keith Brawner:
Behaving Like Soldiers A Multi-Agent System Approach to Course of Action Planning for Simulated Military Units. - Behnam Rahdari, Peter Brusilovsky, Branislav Kveton:
Towards Increasing the Coverage of Interactive Recommendations. - Florian Wilhelm, Marisa Mohr, Lien Michiels:
An Interpretable Model for Collaborative Filtering Using an Extended Latent Dirichlet Allocation Approach. - Akshada Shinde:
Unsupervised Detection of Misinformation in Financial Statements. - Atishay Jain, Abhishek Dhiman, Balakrishna Pailla:
Tracking using Human Pose Matching with Deep Association Metric. - Ondrej Cepek:
Switch lists in the landscape of knowledge representation languages. - Felix L. V. da Silva, Larissa A. de Freitas:
Brazilian Portuguese Hate Speech Classification using BERTimbau. - Isabelle Bichindaritz, Guanghui Liu:
Feature Integration and Feature Augmentation for Predicting GPCR-Drug Interaction. - Connor Shorten, Taghi M. Khoshgoftaar:
An Exploration of Consistency Learning with Data Augmentation. - Yang Xiang, Hanwen Zheng:
Tractable Inference for Hybrid Bayesian Networks with NAT-Modeled Dynamic Discretization. - Jinxiang Liu, Laura E. Brown:
A Few-shot Learning Model based on a Triplet Network for the Prediction of Energy Coincident Peak Days. - Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou:
Machine learning approach for studying the neural underpinnings of dyslexia on a phonological awareness task. - Kshitija Taywade, Brent Harrison, Adib Bagh, Judy Goldsmith:
Modelling Cournot Games as Multi-agent Multi-armed Bandits. - Md. Golam Moula Mehedi Hasan, Douglas A. Talbert:
Data Augmentation using Counterfactuals: Proximity vs Diversity. - Md. Golam Moula Mehedi Hasan, Douglas A. Talbert:
Mitigating the Rashomon Effect in Counterfactual Explanation: A Game-theoretic Approach. - Sam Ganzfried:
Best Response Computation in Multiplayer Imperfect-Information Stochastic Games. - Shreya Banerjee, Selmer Bringsjord, Michael Giancola, Naveen Sundar Govindarajulu:
Qualitative Mechanical Problem-Solving by Artificial Agents: Further Progress, Under Psychometric AI. - Hernán Ceferino Vázquez, Virginia Dal Lago:
Rethinking Inventory Forecasting Problems in E-commerce: Exploring the effect of integrating forecasting and inventory decisions. - Brandon Hines, Douglas A. Talbert, Steven Anton:
Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets. - Michael Huelsman, Miroslaw Truszczynski:
Relating Preference Languages By Their Expressive Power. - Jie Zhu, Hulin Wu, Ashraf Yaseen:
Sensitivity Analysis of a BERT-based scholarly recommendation system. - Raiden Evans, Stephanie Mullins, George Noel:
Challenges of Vehicle Classification Using Acoustics. - Connor Shorten, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard:
Predicting the Severity of COVID-19 Respiratory Illness with Deep Learning. - Ron Alford, Lukás Chrpa, Mauro Vallati, Andy Applebaum:
Knowledge Reformulation and Deception as a Defense Against Automated Cyber Adversaries. - Mareike Stender, Mattis Hartwig, Tanya Braun, Ralf Möller:
Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model.
Special Track: Applied Natural Language Processing
- Émerson Lopes, Larissa A. de Freitas, Gabriel Gomes, Gerônimo Lemos, Luiz Otávio Hammes, Ulisses Brisolara Corrêa:
Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language. - Lucas Mucida, Alcione P. Oliveira, Maurilio De Araujo Possi:
A Language-independent Metric for Measuring Text Simplification that does not Require a Parallel Corpus. - Arjun Choudhry, Seba Susan, Anmol Bansal, Anubhav Sharma:
TLMOTE: A Topic-based Language Modelling Approach for Text Oversampling. - Martin Docekal, Pavel Smrz:
Query-Based Keyphrase Extraction from Long Documents. - Sarah Sayce, Krishnendu Ghosh:
Recommendation System for Open Source Projects for Minimizing Abandonment. - Shahriar Shayesteh, Diana Inkpen:
Generative Adversarial learning with Negative Data Augmentation for Semi-supervised Text Classification. - Cristian Cardellino, Rafael Carrascosa:
A Study on Title Encoding Methods for e-Commerce Downstream Tasks. - Thang Dang, Yasufumi Sakai, Tsuguchika Tabaru, Akihiko Kasagi:
Regularizing Data for Improving Execution Time of NLP Model. - Nobal B. Niraula, Jeevan Chapagain:
Named Entity Recognition for Nepali: Data Sets and Algorithms. - Matheus Augusto Gonzaga Rodrigues, Alcione P. Oliveira, Alexandra Moreira, Maurilio De Araujo Possi:
Lyrics Generation supported by Pre-trained Models. - Charles-Olivier Favreau, Amal Zouaq, Sameer Bhatnagar:
Learning to Rank with BERT for Argument Quality Evaluation.
Special Track: Uncertain Reasoning
- Joshua A. Lapso, Gilbert L. Peterson:
Factored Beliefs for Machine Agents in Decentralized Partially Observable Markov Decision Processes. - Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni:
Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates. - Christoph Beierle, Martin von Berg, Arthur Sanin:
Realization of c-Inference as a SAT Problem. - Marco Wilhelm, Diana Howey, Gabriele Kern-Isberner, Kai Sauerwald, Christoph Beierle:
Integrating Cognitive Principles From ACT-R Into Probabilistic Conditional Reasoning by Taking the Example of Maximum Entropy Reasoning. - Christoph Beierle, Jonas Haldimann:
Normal Forms of Conditional Belief Bases Respecting Inductive Inference. - Narges Manouchehri, Nizar Bouguila:
Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications.
Special Track: Autonomous Robots and Agents
- Sunandita Patra, Mark Cavolowsky, Onur Kulaksizoglu, Ruoxi Li, Laura Hiatt, Mark Roberts, Dana S. Nau:
A Hierarchical Goal-Biased Curriculum for Training Reinforcement Learning. - Yash Bansod, Sunandita Patra, Dana S. Nau, Mark Roberts:
HTN Replanning from the Middle. - Jérémie Donjat, Amélie Legeleux, Cédric Buche, Dominique Duhaut:
Temporal Alignment and Demonstration Selection as Pre-Processing Phase for Learning by Demonstration. - Simona Ondrcková, Roman Barták, Pascal Bercher, Gregor Behnke:
On Heuristics for Parsing-based Verification of Hierarchical Plans with a Goal Task. - Mark McArthur, Yashar Moshfeghi, Michael Cashmore:
EgoPlan: A Framework for Multi-Agent Planning Using Single Agent Planners. - Amélie Legeleux, Cédric Buche, Dominique Duhaut:
Gaussian Mixture Model with Weighted Data for Learning by Demonstration. - Belal Hmedan, Dorilys Kilgus, Humbert Fiorino, Aurélie Landry, Damien Pellier:
Adapting Cobot Behavior to Human Task Ordering Variability for Assembly Tasks. - Jack Vice, Gita Sukthankar, Pamela K. Douglas:
Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain.
Special Track: Semantic, Logics, Information Extraction and AI
- Caleb Kisby, Saúl A. Blanco, Lawrence S. Moss:
The Logic of Hebbian Learning. - Rim Mohamed, Zied Bouraoui, Zied Loukil, Faïez Gargouri:
Min-Based Conditioning of Possibilistic EL Ontology. - Subhashree S, P. Sreenivasa Kumar:
Identifying Relation-gaps in Ontologies using TOPSIS. - Abdou Khadir Dia, Nadia Ghazzali, Bosca Axel Gambou:
Unsupervised Neural Network for Data-Driven Corrosion Detection of a Mining Pipeline. - Anca Pascu, Jean-Pierre Desclés, Ismaïl Biskri:
The Place of Quasi Topological Structure in the Mathematical Theory of Categorization Quasi Topological Structure and Soft Sets. - Steve Fonin Mbouadeu, Asim Abbas, Fazel Keshtkar, Iram Wajahat, Syed Ahmad Chan Bukhari:
A Sociotechnical Framework for Semantic Biomedical Content Authoring and Publishing. - Clayton Peterson, Naïma Hamrouni:
Preliminary Thoughts on Defining f(x) for Ethical Machines. - Asim Abbas, Steve Fonin Mbouadeu, Fazel Keshtkar, Joan DeBello, Syed Ahmad Chan Bukhari:
Biomedical Scholarly Article Editing and Sharing using Holistic Semantic Uplifting Approach. - Rim Mohamed, Zied Bouraoui, Zied Loukil, Faïez Gargouri:
Conflict-Based Inconsistency-Tolerant Query Answering.
Special Track: Neural Networks and Data Mining
- Katherine E. Brown, Douglas A. Talbert:
A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression. - Sobirdzhon Bobiev, Albina Khusainova, Adil Khan, S. M. Ahsan Kazmi:
Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers. - Sudipta Singha Roy, Robert E. Mercer:
Protein-Protein Interaction Extraction using Attention-based Tree-Structured Neural Network Models. - Daniel Silver, Hardik Manek, Matthew Kay, Paul Travis:
Estimating Automobile Crash Characteristics from Images using Deep Learning. - Priya Saha, Joachim Hubele, Stephen McDonald:
Customer Appointment Analysis in Automobile Dealerships. - Rajesh Manicavasagam, Prabin B. Lamichhane, Prajjwal Kandel, Douglas A. Talbert:
Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques. - David Grethlein:
Extracting Sections of Simulated Driving Routes that Elicit Driving Responses Predictive of ADHD via Recursively Constructed Ensembles. - Robert H. Frye, David C. Wilson:
Comparative Analysis of Transformers to Support Fine-Grained Emotion Detection in Short-Text Data. - Prabin B. Lamichhane, Hannah Mannering, William Eberle:
Discovering Breach Patterns on the Internet of Health Things: A Graph and Machine Learning Anomaly Analysis. - Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.
Special Track: Security, Privacy and Trust in AI
- Bala Mallikarjunarao Garlapati, Ajeet Kumar Singh, Srinivasa Rao Chalamala:
A Robust Method to Protect Text Classification Models against Adversarial Attacks. - Ramoni O. Lasisi, Matthew Menia, Zachary Farr, Corey Jones:
Exploration of AI-enabled Contents for Undergraduate Cyber Security Programs. - Jinmyeong Lee, SangPil Yoon:
Ready for Battle?: Legal Considerations for Upcoming AI Hacker and Vulnerability Issues. - Eugene Lim, Hyesung Park, Beopyeon Kim:
Review of the Validity and Rationality of Artificial Intelligence Regulation Application of the EU's AI Regulation Bill to Accidents Caused by Artificial Intelligence. - Geetanjali Bihani, Julia Taylor Rayz:
On Information Hiding in Natural Language Systems. - Ji-Hun Lim, Jeongeun Seo, Hun Yeong Kwon:
The Role of Higher Education for the Ethical AI Society. - Matija Franklin, Hal Ashton, Rebecca Gormann, Stuart Armstrong:
Missing Mechanisms of Manipulation in the EU AI Act. - Kholud Alghamdi, Marius Silaghi:
Automatic verification of multi-agent systems security properties specified with LTL.
Special Track: AI in Healthcare Informatics
- Alexandre Naprous, Marta Avalos Fernandez, Catherine Pradeau, Emmanuel Lagarde, Cédric Gil-Jardiné:
Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reports Public Health surveillance from EMCC data. - Alexandro Arnal, Olac Fuentes:
Effects of scale on segmentation of Nissl-stained rat brain tissue images via convolutional neural networks. - Aleksander Obuchowski, Barbara Klaudel, Roman Karski, Bartosz Rydzinski, Mateusz Glembin, Pawel Syty, Patryk Jasik:
ColorNephroNet: Kidney tumor malignancy prediction using medical image colorization. - Karima Sedki, Jean-Baptiste Lamy, Rosy Tsopra:
Qualitative Choice Logic For Modeling Experts Recommendations of Antibiotics.
Special Track: Artificial Intelligence in Games, Serious Games, and Multimedia
- Sarah N. Kitchen, Keith Brawner:
Aggregation of Hierarchically-Organized Agents in a Multi-Agent System. - Shengyi Huang, Santiago Ontañón:
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms. - Samuel Allen Alexander, Arthur Paul Pedersen:
Pseudo-visibility: A Game Mechanic Involving Willful Ignorance. - Timothy Aris, Volkan Ustun, Rajay Kumar:
Learning to Take Cover on Geo-Specific Terrains via Reinforcement Learning. - Abdullah Khan, Alexei Vernitski, Alexei Lisitsa:
Reinforcement learning algorithms for the Untangling of Braids. - Ismail Hassan, B. John Oommen, Anis Yazidi:
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information. - Charles Newton, Christopher Ballinger, Michael Sloma, Keith Brawner:
Hierarchical, Discontinuous Agent Reinforcement Learning Rewards in Complex Military-Oriented Environments. - Nathan Arnold, Judy Goldsmith, Sarah H. Snider:
Extensions to Tiered Coalition Formation Games. - Jay Mahajan, Samuel Hum, Jeffrey Ginger, H. Chad Lane:
MineObserver: A Deep Learning Framework for Assessing Natural Language Descriptions of Minecraft Imagery.
Explainability, Bias, and Trust
- Katherine E. Brown, Douglas A. Talbert:
Using Explainable AI to Measure Feature Contribution to Uncertainty. - Sanjiv S. Jha:
An Overview on the Explainability of Cyber-Physical Systems. - Prativa Pokhrel, Alina Lazar:
Towards Machine Learning Interpretability for Tabular Data with Mixed Data Types. - Amit Sangroya, Suparshva Jain, Lovekesh Vig, C. Anantaram, Arijit Ukil, Sundeep Khandelwal:
Generating Conceptual Explanations for DL based ECG Classification Model. - Damin Zhang, Julia Taylor Rayz:
Examining Stereotypes in News Articles. - Andrew O'Brien, Edward Kim:
Toward Multi-Agent Algorithmic Recourse Challenges From a Game-Theoretic Perspective.
Poster Abstracts
- Brycen Addison, Michael Peeler, Chris Alvin:
Ultimate Tic-Tac-Toe Bot Techniques. - Kholud Alghamdi, Marius Silaghi:
Implications of Bounds in Approval Voting. - Erin Gibson, Lane Lawley:
Language-Model-Based Parsing and English Generation for Unscoped Episodic Logical Forms. - Christopher McGroarty, Scott Gallant:
Expectation Management of AI for Automated Military Behavior Representations. - Meetkumar Patel, Daniel L. Silver:
Vehicle Traffic Estimation Using Deep Learning. - Nelly Elsayed:
Vision-Based American Sign Language Classification Approach via Deep Learning. - Logan Gisick, Alyssa Tanaka, Bob Marinier, Robert Picking, Cameron Copland:
The Development of an Intelligent System Architecture for Autonomous Care (ISAAC). - Robin Wiethüchter, Saikishore Kalloori, Ribin Chalumattu:
Fast Content Placement and Alignment in 3D Scenes. - Riddhi Joshi, Daniel Silver:
Pedestrian Traffic Prediction using Deep Learning. - Gene Lam, Arthur Paul Pedersen:
Less is More: Decision Making & Information Sharing Under Severe Uncertainty. - Logan Gisick, Henry Phillips, Charles Newton:
Automatic Speech Recognition Training Software for Joint Terminal Attack Controller Close Air Support Requests. - Wan-Yi Mao, Mehmet Yardimci, Minh Nguyen, Dan Sobien, Laura J. Freeman, Feras A. Batarseh, Abdul Rahman, Vinita Fordham:
Trustworthy AI Solutions for Cyberbiosecurity Challenges in Water Supply Systems. - Young Park:
Enhancing Grade Prediction via Course Attribute-Aware Student Similarity in Collaborative Filtering.
Tutorials
- Jaganmohan Chandrasekaran, Feras A. Batarseh, Laura J. Freeman, Raghu Kacker, Mohammad S. Raunak, Rick Kuhn:
Enabling AI Adoption through Assurance. - Alina Lazar:
An Introduction to Graph Neural Networks. - Eric Laukien:
Sparse Predictive Hierarches: An Alternative to Deep Learning.
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