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ORCID34th FLAIRS Conference 2021: North Miami Beach, Florida, USA
- Eric Bell, Fazel Keshtkar:
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, North Miami Beach, Florida, USA, May 17-19, 2021. 2021
Main Track Proceedings
- Manasa Priya Koduri, Pei Xuan Lim, Zhen Li, Sandeep Kumar, Muhammad Aamir Saleem, Roger Moy:
Cross-Device Identity Resolution using Machine Learning: A Scalable Device Graph Approach. - M. Rayhan Ahmed Mithu, Mike Rogers, Denis A. Ulybyshev, Rajesh Manicavasagam, Rima Asmar Awad
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Feature Classification for Control System Devices. - Srashti Kaurav, Devi Ganesan, Deepak P, Sutanu Chakraborti:
Thinking Fast and Slow: A CBR Perspective. - Isabelle Bichindaritz, Christopher L. Bartlett, Guanghui Liu:
Predicting with Confidence: A Case-Based Reasoning Framework for Predicting Survival in Breast Cancer. - Byung Kyu Yoo, Julia Taylor Rayz:
Understanding Emojis for Sentiment Analysis. - Parampuneet Thind, Vaibhav Katturu, Teryn Cha, Sung-Hyuk Cha:
Density Based Mode Within Radius and Its Application to EEG based Emotion Recognition. - Zaid Marji, John Licato:
Backtracking Restarts for Deep Reinforcement Learning. - Ramesh Paudel, Lauren Tharp, Dulce Kaiser, William Eberle, Gerald C. Gannod:
Visualization of Anomalies using Graph-Based Anomaly Detection. - Cynthia Freeman, Ian Beaver, Abdullah Mueen:
Detecting Anomalies in Sequences of Short Text Using Iterative Language Models. - Greg Pennisi, Morgan Fine-Morris, Michael W. Floyd, Bryan Auslander, Hector Muñoz-Avila, Jeff Heflin, Kalyan Moy Gupta:
HTN Learning via Transfer Learning of Domain Landmarks. - Xiaonan Jing, Qingyuan Hu, Yi Zhang, Julia Taylor Rayz:
Tracing Topic Transitions with Temporal Graph Clusters. - Cynthia Freeman, Ian Beaver, Abdullah Mueen:
Improving Univariate Time Series Anomaly Detection Through Automatic Algorithm Selection and Human-in-the-Loop False-Positive Removement. - Elijah Malaby, John Licato:
Exploring Monte Carlo Negotiation Search with Nontrivial Agreements. - David Grethlein, Aleksanteri Sladek, Santiago Ontañón:
ADHD Prediction via Time Series Ensemble fed Driving Simulator Data. - Sylvia Melzer:
Complementary Document Representations for Information Retrieval. - Dmytro Vitel, Alessio Gaspar, R. Paul Wiegand:
A Neutral Rewrite Mutation Operator for Genetic Programming applied to Boolean Domain Problems. - Animesh Nighojkar, John Licato:
Mutual Implication as a Measure of Textual Equivalence. - Xuanbo Su, Nizar Bouguila, Nuha Zamzami:
Covid-19 News Clustering using MCMC-Based Learing of finite EMSD Mixture Models. - Yanbing Xue, Milos Hauskrecht:
A General Two-stage Multi-label Ranking Framework. - Md. Golam Moula Mehedi Hasan, Douglas A. Talbert:
Counterfactual Examples for Data Augmentation: A Case Study. - Jacob Schlueter, Christian Addington, Judy Goldsmith:
Anchored Team Formation Games. - Lucas Welch, Xudong Liu, Indika Kahanda, Sandeep Reddivari, Karthikeyan Umapathy:
Vegetation Coverage in Marsh Grass Photography Using Convolutional Neural Networks. - Yuling Guan, Ang Li, Sven Koenig, Stephan Haas, T. K. Satish Kumar:
Hysteresis in Combinatorial Optimization Problems. - Martin Jedwabny, Pierre Bisquert, Madalina Croitoru:
Generating preferred plans with ethical features. - Michael Huelsman, Miroslaw Truszczynski:
The Role of Model Selection in Preference Learning. - Lex Drennan, Matthew Chesser, Jorge Lozano, Erin Carrier:
Identifying High-Risk Workspaces during COVID-19 using Machine Learning. - Daniel Jones, Christoforos Christoforou:
Mask Recognition with Computer Vision in the Age of a Pandemic. - Jiaying Lu, Jinho D. Choi:
Evaluation of Unsupervised Entity and Event Salience Estimation. - Mohamad Zalat, Babak Esfandiari:
Performance Metrics for State-Based Imitation Learning. - Yifei Hu, Julia Rayz:
A study of Media Polarization with Stylometry Methods. - Ryan Hogan, Christoforos Christoforou:
Alzheimer's Detection through 3D Convolutional Neural Networks. - Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou:
Single-trial FRPs: A Machine Learning Approach Towards the Study of the Neural Underpinning of Reading Disorders. - Caroline Dakoure, Mohamed Sahbi Benlamine, Claude Frasson:
Confusion detection using cognitive ability tests. - Lin Li, Koshin Ono, Chun-Kit Ngan:
A Deep Learning and Transfer Learning Approach for Vehicle Damage Detection. - Tasmia Tasrin, Md Sultan Al Nahian, Habarakadage Perera, Brent Harrison:
Influencing Reinforcement Learning through Natural Language Guidance. - Jonathan I. Watson:
Bias Adaptive Statistical Inference Learning Agents for Learning from Human Feedback. - Marisa Mohr, Florian Wilhelm, Ralf Möller:
On the Behaviour of Weighted Permutation Entropy on Fractional Brownian Motion in the Univariate and Multivariate Setting. - Tasmia Tasrin, Md Sultan Al Nahian, Brent Harrison:
Visual Question Answering Using Semantic Information from Image Descriptions. - Christoforos Christoforou, Maria Theodorou:
Towards EEG-based Emotion Recognition During Video Viewing Neural-Congruency Explains User's Emotion experienced in Music Videos. - Arash Golibagh Mahyari, Thomas Locher:
Robust Predictive Maintenance for Robotics via Unsupervised Transfer Learning. - Nisha Pillai, Cynthia Matuszek, Francis Ferraro:
Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data. - Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. - Mohammad Mehdi Afsar, Trafford Crump, Behrouz H. Far:
An Exploration On-demand Article Recommender System for Cancer Patients Information Provisioning. - Lukas Malburg, Maximilian Hoffmann, Simon Trumm, Ralph Bergmann:
Improving Similarity-Based Retrieval Efficiency by Using Graphic Processing Units in Case-Based Reasoning. - Alex Marino Gonçalves de Almeida, Claudineia Helena Recco, Rodrigo Capobianco Guido:
Use of Paraconsistent Feature Engineering to support the Long Term Feature choice for Speaker Verification. - Safa Alsafari, Samira Sadaoui:
Ensemble-based Semi-Supervised Learning for Hate Speech Detection. - Zekun Xu, Ye Liu:
A Regularized Vector Autoregressive Hidden Semi-Markov model, with Application to Multivariate Financial Data. - Chengxi Li, Brent Harrison:
3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model. - Haidi Badr, Nayer M. Wanas, Magda B. Fayek:
TSAL: Two steps Adversarial learning based domain adaptation. - R. Paul Wiegand:
Population-Based Novelty Searches Can Converge.
Special Track: Applied Natural Language Processing
- Moemmur Shahzad, Ayesha Amin, Diego Esteves, Axel-Cyrille Ngonga Ngomo:
InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs. - Damián Ariel Furman, Santiago Marro, Cristian Cardellino, Diana Nicoleta Popa, Laura Alonso Alemany:
You can simply rely on communities for a robust characterization of stances. - Yejin Kim, Yekyung Kim:
Learning Sub-Character level representation for Korean Named Entity Recognition. - Mingzhi Yu, Diane J. Litman:
Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT. - Shashank Hebbar, Ying Xie:
CovidBERT-Biomedical Relation Extraction for Covid-19. - Cristian Cardellino, Rafael Carrascosa:
A Study on Multiple Tasks for e-Commerce Marketplaces. - Brodie Mather, Bonnie J. Dorr, Owen Rambow, Tomek Strzalkowski:
A General Framework for Domain-Specialization of Stance Detection A Covid-19 Response Use Case. - Farzana Rashid, Fahmida Hamid:
Detecting the Presence of Named Entities in Bengali: Corpus and Experiments. - Antonio Laverghetta Jr., John Licato:
Modeling Age of Acquisition Norms Using Transformer Networks. - Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila:
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. - Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Domain-agnostic Document Representation Learning Using Latent Topics and Metadata. - Esmé Manandise, Conrad de Peuter, Saikat Mukherjee:
From Tax Compliance in Natural Language to Executable Calculations: Combining Lexical-grammar-based Parsing and Machine Learning. - Émerson Lopes, Ulisses Brisolara Corrêa, Larissa A. de Freitas:
Exploring BERT for Aspect Extraction in Portuguese Language.
Special Track: AI for Internet of Things, Maker Education and Creative Learning
- David C. Wilson, Johanna Okerlund, Dominique Exley:
Topic Modeling for Makerspace Artifact Analysis.
Special Track: Uncertain Reasoning
- Adama Nouboukpo, Mohand Saïd Allili:
Weakly Semi Supervised learning based Mixture Model With Two-Level Constraints. - Chase Yakaboski, Eugene Santos:
Efficient Reasoning upon Fusion of Many Data Sources. - Christoph Beierle, Jonas Haldimann, Steven Kutsch:
A Complete Map of Conditional Knowledge Bases in Different Normal Forms and Their Induced System P Inference Relations Over Small Signatures. - Nils Finke, Tanya Braun, Marcel Gehrke, Ralf Möller:
Dynamic Domain Sizes in Temporal Probabilistic Relational Models. - Nils Finke, Tanya Braun, Marcel Gehrke, Ralf Möller:
Concept Drift Detection in Dynamic Probabilistic Relational Models. - Christoph Beierle, Gabriele Kern-Isberner:
Selection Strategies for Inductive Reasoning From Conditional Belief Bases and for Belief Change Respecting the Principle of Conditional Preservation. - Christophe Gonzales, Axel Journe, Ahmed Mabrouk:
Constraint-Based Bayesian Network Structure Learning using Uncertain Experts' Knowledge. - Carlo Taticchi, Stefano Bistarelli:
Extending Labelling Semantics to Weighted Argumentation Frameworks. - Meliha Sezgin, Gabriele Kern-Isberner:
System Z for Conditional Belief Bases with Positive and Negative Information. - Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Manar Amayri, Wentao Fan:
Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model. - Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
An Order-Independent Algorithm for Learning Chain Graphs. - Eric Neufeld, Sonje Finnestad:
One game show, two boys, two aces, three prisoners - what's an AI to do?
Special Track: Autonomous Robots and Agents
- Annie S. Wu, Joseph P. Giordano, H. David Mathias, Arjun Pherwani:
Decentralized Swarm Desynchronization via Inter-agent Variation for Logistical Resupply. - Mark Roberts, Laura M. Hiatt, Vivint Shetty, Benjamin Brumback, Brandon Enochs, Piyabutra Jampathom:
Goal Lifecycle Networks For Robotics. - Sunandita Patra, Paolo Traverso, Malik Ghallab, Dana S. Nau:
Coordination and Control of Hierarchically Organized Interacting Agents. - Kristýna Pantucková, Roman Barták:
Compilation-Based Approaches to Parallel Planning: An Empirical Comparison. - Roman Barták, Marika Ivanová, Jirí Svancara:
Colored Multi-Agent Path Finding: Solving Approaches. - Rafael C. Cardoso, John L. Michaloski, Craig Schlenoff, Angelo Ferrando, Louise A. Dennis, Michael Fisher:
Agile Tasking of Robotic Systems with Explicit Autonomy. - Sota Tsuiki, Keisuke Yoneda, Toshiharu Sugawara:
Reducing Efficiency Degradation Due to Scheduled Agent Suspensions by Task Handover in Multi-Agent Cooperative Patrol Problems. - Adem Coskun, Jason M. O'Kane, Marco Valtorta:
Deadlock-Free Online Plan Repair in Multi-robot Coordination with Disturbances.
Special Track: Semantic, Logics, Information Extraction and AI
- Sangita De, Premek Brada, Jürgen Mottok, Michael Niklas:
The Empirical Evaluation of Semantic Alignment Quality Metrics for Vehicle Domain Component Frameworks Interface Ontologies. - Ngoc Tan Le, Fatiha Sadat:
Multilingual Automatic Term Extraction in Low-Resource Domains. - Fazel Keshtkar, Ledong Shi, Syed Ahmad Chan Bukhari:
The Semantics and Collocations Relation in Food Reviews. - Usef Faghihi, Cyrus Kalantarpour:
Using Deep Learning algorithms to detect the success or failure of the Electroconvulsive Therapy (ECT) sessions.
Special Track: Neural Networks and Data Mining
- Sirisha Velampalli:
Compressing Graph Data by Leveraging Domain Independent Knowledge. - Priti Oli, Rajendra Banjade, Lasang Jimba Tamang, Vasile Rus:
Automated Assessment of Quality of Jupyter Notebooks Using Artificial Intelligence and Big Code. - Anderson Monken, Flora Haberkorn, Munisamy Gopinath, Laura J. Freeman, Feras A. Batarseh:
Graph Neural Networks for Modeling Causality in International Trade. - Christopher Singh, Christoforos Christoforou:
Detection Of Vacant Parking Spaces Through The Use Of Convolutional Neural Network. - Leonid Schwenke, Martin Atzmueller:
Show Me What You're Looking For Visualizing Abstracted Transformer Attention for Enhancing Their Local Interpretability on Time Series Data. - Nicksson Ckayo Arrais de Freitas, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Leopoldo Melo Junior:
Using deep learning for trajectory classification in imbalanced dataset. - Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. - Katherine E. Brown, Douglas A. Talbert, Steve Talbert:
The Uncertainty of Counterfactuals in Deep Learning.
Special Track: Security, Privacy and Trust in AI
- Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier:
Research Challenges in Designing Differentially Private Text Generation Mechanisms. - Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier:
Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise.
Special Track: AI in Healthcare Informatics
- Nazia Tasnim, Md. Istiak Hossain Shihab, Moqsadur Rahman, Jillur Rahman Saurav, Sheikh Rabiul Islam, Mohammad Ruhul Amin:
Observing the Unobserved: A Newspaper Based Dengue Surveillance System for the Low-Income Regions of Bangladesh. - Seda Bilaloglu, Vincent J. Major, Himanshu Grover, Isabel Metzger, Yindalon Aphinyanaphongs:
Expanding the Reach of Structured EHR Data with Clinical Notes Improving End-of-Life Prediction. - Luiz Alberto Pereira Afonso Ribeiro, Ana Cristina Bicharra Garcia, Paulo Sérgio Medeiros dos Santos:
Temporal and Causal Relations on Evidence Theory: an Application on Adverse Drug Reactions. - Nitish Kumar, Deepak Chaurasiya, Alok Singh, Siddhartha Asthana, Kushagra Agarwal, Ankur Arora:
MeDML: Med-Dynamic Meta Learning - A multi-layered representation to identify provider fraud in healthcare. - Loick Bourdois, Marta Avalos, Gabrielle Chenais, Frantz Thiessard, Philippe Revel, Cédric Gil-Jardiné, Emmanuel Lagarde:
De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems.
Special Track: Intelligent Learning Technologies
- Benjamin D. Nye, Rushit Sanghrajka, Vinit Bodhwani, Martin Acob, Daniel Budziwojski, Kayla Carr, Larry Kirshner, William R. Swartout:
OpenTutor: Designing a Rapid-Authored Tutor that Learns as you Grade. - Benjamin D. Nye, Aaron Shiel, Ibrahim Burak Olmez, Anirudh Mittal, Jason Latta, Daniel Auerbach, Yasemin Copur-Gencturk:
Virtual Agents for Real Teachers: Applying AI to Support Professional Development of Proportional Reasoning. - Rabin Banjade, Priti Oli, Lasang Jimba Tamang, Jeevan Chapagain, Vasile Rus:
Domain Model Discovery from Textbooks for Computer Programming Intelligent Tutors. - Shengnan Hu, Zerong Xi, Greg McGowin, Gita Sukthankar, Stephen M. Fiore, Kevin Oden:
Representing Time Series Data in Intelligent Training Systems. - Nisrine Ait Khayi, Vasile Rus, Lasang Jimba Tamang:
Towards Improving Open Student Answer Assessment using Pretrained Transformers.
Special Track: Artificial Intelligence in Games, Serious Games, and Multimedia
- Daniel Verdear, Ubbo Visser:
Ontology-based Knowledge System and Team Verification Tool for Competitive Pokemon. - Chris Alvin, Michael Bowling, Shaelyn Rivers-Green, Deric Siglin, Lori Alvin:
Toward a Competitive Agent Framework for Magic: The Gathering.
Poster Abstracts
- Tapan Shah:
Competence region estimation for black-box surrogate models. - Ji In Choi, Madeleine Georges, Jung Ah Shin, Olivia Wang, Tiffany Zhu, Tapan Shah:
Learning from low precision samples. - Fakhri Abbas, Nadia Najjar, David C. Wilson:
Critique Generation to Increase Diversity in Conversational Recipe Recommender System. - Timothy Atkinson:
Probabilistic reputation networks. - Timothy Atkinson, Marius Silaghi:
Bayesian Networks for software testing. - Ashita Anuga, Minh Nguyen, Dominick Perini, Andrei Svetovidov, Amanda Tolman, Qasim Wani, Feras A. Batarseh:
Technology Policy Recommendations Using Artificial Intelligence. - Sai Gurrapu, Nazmul Sikder, Pei Wang, Nitish Gorentala, Madison Williams, Feras A. Batarseh:
Applications of Machine Learning For Precision Agriculture and Smart Farming. - Feras A. Batarseh, Chih-Hao Huang:
Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Allocation. - Imad Rahal, Ryan Strelow, Jeremy Iverson:
Efficient Algorithmic Music Composition Using Neural Networks. - Mirza Murtaza:
Analysis of comparative performance of deep learning models for sentiment analysis. - Masaru Ide:
High Stability Anomaly Detection in Random Environments.
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