The International FLAIRS Conference Proceedings

Preface

Preface

Eric Bell; Fazel Keshtkar
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Committee Listings

Committee Listings

Eric Bell; Fazel Keshtkar
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Invited Talk Abstracts

Invited Talk Abstracts

Eric Bell; Fazel Keshtkar
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Main Track Proceedings

Cross-Device Identity Resolution using Machine Learning: A Scalable Device Graph Approach

Manasa Priya Koduri, Pei Xuan Lim, Zhen Li, Sandeep Kumar, Muhammad Aamir Saleem, Roger Moy
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Feature Classification for Control System Devices

M Rayhan Ahmed Mithu, Mike Rogers, Denis Ulybyshev, Rajesh Manicavasagam, Rima Asmar Awad
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Thinking Fast and Slow: A CBR Perspective

Srashti Kaurav, Devi Ganesan, Deepak P, Sutanu Chakraborti
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Predicting with Confidence: A Case-Based Reasoning Framework for Predicting Survival in Breast Cancer

Isabelle Bichindaritz, Christopher Bartlett, Guanghui Liu
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Understanding Emojis for Sentiment Analysis

Byungkyu Yoo, Julia Taylor Rayz
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Density Based Mode Within Radius and Its Application to EEG based Emotion Recognition

Parampuneet Thind, Vaibhav Katturu, Teryn Cha, Sung-Hyuk Cha
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Backtracking Restarts for Deep Reinforcement Learning

Zaid Khalil Marji, John Licato
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Visualization of Anomalies using Graph-Based Anomaly Detection

Ramesh Paudel, Lauren Tharp, Dulce Kaiser, William Eberle, Gerald Gannod
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Detecting Anomalies in Sequences of Short Text Using Iterative Language Models

Cynthia Freeman
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HTN Learning via Transfer Learning of Domain Landmarks

Greg Pennisi, Morgan Fine-Morris, Michael W. Floyd, Bryan Auslander, Hector Munoz-Avila, Jeff Heflin, Kalyan Moy Gupta
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Tracing Topic Transitions with Temporal Graph Clusters

Xiaonan Jing, Qingyuan Hu, Yi Zhang, Julia Taylor Rayz
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Improving Univariate Time Series Anomaly Detection Through Automatic Algorithm Selection and Human-in-the-Loop False-Positive Removement

Cynthia Freeman
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Exploring Monte Carlo Negotiation Search with Nontrivial Agreements

Elijah Alden Malaby, John Licato
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ADHD Prediction via Time Series Ensemble fed Driving Simulator Data

David Grethlein, Aleksanteri Sladek, Santiago Ontañón
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Complementary Document Representations for Information Retrieval

Sylvia Melzer
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A Neutral Rewrite Mutation Operator for Genetic Programming applied to Boolean Domain Problems

Dmytro Vitel, Alessio Gaspar, Paul Wiegand
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Mutual Implication as a Measure of Textual Equivalence

Animesh Nighojkar, John Licato
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Covid-19 News Clustering using MCMC-Based Learing of finite EMSD Mixture Models

xuanbo su, Nizar Bouguila, Nuha Zamzami
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A General Two-stage Multi-label Ranking Framework

Yanbing Xue, Milos Hauskrecht
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Counterfactual Examples for Data Augmentation: A Case Study

Md Golam Moula Mehedi Hasan, Douglas A. Talbert
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Anchored Team Formation Games

Jacob Schlueter, Christian Addington, Judy Goldsmith
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Vegetation Coverage in Marsh Grass Photography Using Convolutional Neural Networks

Lucas Wayne Welch, Xudong Liu, Indika Kahanda, Sandeep Reddivari, Karthikeyan Umapathy
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Hysteresis in Combinatorial Optimization Problems

Yuling Guan, Ang Li, Sven Koenig, Stephan Haas, T. K. Satish Kumar
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Generating preferred plans with ethical features

Martin Jedwabny
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The Role of Model Selection in Preference Learning

Michael Andrew Huelsman, Miroslaw Truszczynski
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Identifying High-Risk Workspaces during COVID-19 using Machine Learning

Lex Drennan, Matthew Chesser, Jorge Lozano, Erin Carrier
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Mask Recognition with Computer Vision in the Age of a Pandemic

Daniel Jones, Christoforos Christoforou
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Evaluation of Unsupervised Entity and Event Salience Estimation

Jiaying Lu, Jinho D Choi
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Performance Metrics for State-Based Imitation Learning

Mohamed Zalat, Babak Esfandiari
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A study of Media Polarization with Stylometry Methods

Yifei Hu, Julia Rayz
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Alzheimer’s Detection through 3D Convolutional Neural Networks

Ryan Hogan, Christoforos Christoforou
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Single-trial FRPs: A Machine Learning Approach Towards the Study of the Neural Underpinning of Reading Disorders

Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou
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Confusion detection using cognitive ability tests

Caroline Dakoure, Mohamed Sahbi Benlamine, Claude Frasson
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A Deep Learning and Transfer Learning Approach for Vehicle Damage Detection

Lin Li
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Influencing Reinforcement Learning through Natural Language Guidance

Tasmia Tasrin, Md Sultan Al Nahian, Brent Harrison
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Bias Adaptive Statistical Inference Learning Agents for Learning from Human Feedback

Jonathan I Watson
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On the Behaviour of Weighted Permutation Entropy on Fractional Brownian Motion in the Univariate and Multivariate Setting

Marisa Mohr, Florian Wilhelm, Ralf Möller
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Visual Question Answering Using Semantic Information from Image Descriptions

Tasmia Tasmia, Md Sultan Al Nahian, Brent Harrison
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Towards EEG-based Emotion Recognition During Video Viewing Neural-Congruency Explains User’s Emotion experienced in Music Videos

Christoforos Christoforou, Maria Theodorou
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Robust Predictive Maintenance for Robotics via Unsupervised Transfer Learning

Arash Golibagh Mahyari, Thomas locher
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Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data

Nisha Pillai, Cynthia Matuszek, Francis Ferraro
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MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings

Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
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An Exploration On-demand Article Recommender System for Cancer Patients Information Provisioning

Mohammad Mehdi Afsar, Trafford Crump, Behrouz Far
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Improving Similarity-Based Retrieval Efficiency by Using Graphic Processing Units in Case-Based Reasoning

Lukas Malburg, Maximilian Hoffmann, Simon Trumm, Ralph Bergmann
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Use of Paraconsistent Feature Engineering to support the Long Term Feature choice for Speaker Verification

Alex Marino Gonçalves de Almeida, Claudineia Helena Recco, Rodrigo Capobianco Guido
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Ensemble-based Semi-Supervised Learning for Hate Speech Detection

Safa Alsafari, Samira Sadaoui
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A Regularized Vector Autoregressive Hidden Semi-Markov model, with Application to Multivariate Financial Data

Zekun Xu, Ye Liu
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3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model

Chengxi Li, Brent Harrison
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TSAL: Two steps Adversarial learning based domain adaptation

haidi Hasan Badr
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Population-Based Novelty Searches Can Converge

R. Paul Wiegand
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Special Track: Applied Natural Language Processing

InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs

Moemmur Shahzad, Ayesha Amin, Diego Esteves, Axel-Cyrille Ngonga Ngomo
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You can simply rely on communities for a robust characterization of stances

Damián Ariel Furman, Santiago Marro, Cristian Cardellino, Diana Nicoleta Popa, Laura Alonso Alemany
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Learning Sub-Character level representation for Korean Named Entity Recognition

Yejin Kim, Yekyung Kim
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Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT

Mingzhi Yu, Diane Litman
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CovidBERT-Biomedical Relation Extraction for Covid-19

Shashank Hebbar, Ying Xie
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A Study on Multiple Tasks for e-Commerce Marketplaces

Cristian Cardellino, Rafael Carrascosa
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A General Framework for Domain-Specialization of Stance Detection A Covid-19 Response Use Case

Brodie Mather, Bonnie J Dorr, Dr., Owen Rambow, Dr., Tomek Strzalkowski, Dr.
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Detecting the Presence of Named Entities in Bengali: Corpus and Experiments

Farzana Rashid, Fahmida Hamid
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Modeling Age of Acquisition Norms Using Transformer Networks

Antonio Laverghetta Jr., John Licato
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Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation

Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila
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Domain-agnostic Document Representation Learning Using Latent Topics and Metadata

Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso
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From Tax Compliance in Natural Language to Executable Calculations: Combining Lexical-grammar-based Parsing and Machine Learning

Esme Manandise
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Exploring BERT for Aspect Extraction in Portuguese Language

Émerson Lopes, Ulisses Correa, Larissa Freitas
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Special Track: AI for Internet of Things, Maker Education and Creative Learning

Topic Modeling for Makerspace Artifact Analysis

David Wilson
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Special Track: Uncertain Reasoning

Weakly Semi Supervised learning based Mixture Model With Two-Level Constraints

Adama Nouboukpo, Mohand Saïd Allili
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Efficient Reasoning upon Fusion of Many Data Sources

Chase Alexander Yakaboski, Eugene Santos
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A Complete Map of Conditional Knowledge Bases in Different Normal Forms and Their Induced System P Inference Relations Over Small Signatures

Christoph Beierle, Jonas Haldimann, Steven Kutsch
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Dynamic Domain Sizes in Temporal Probabilistic Relational Models

Nils Finke, Tanya Braun, Marcel Gehrke, Ralf Möller
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Concept Drift Detection in Dynamic Probabilistic Relational Models

Nils Finke, Tanya Braun, Marcel Gehrke, Ralf Möller
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Selection Strategies for Inductive Reasoning From Conditional Belief Bases and for Belief Change Respecting the Principle of Conditional Preservation

Christoph Beierle, Gabriele Kern-Isberner
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Constraint-Based Bayesian Network Structure Learning using Uncertain Experts’ Knowledge

Christophe Gonzales, Axel Journe, Ahmed Mabrouk
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Extending Labelling Semantics to Weighted Argumentation Frameworks

Carlo Taticchi, Stefano Bistarelli
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System Z for Conditional Belief Bases with Positive and Negative Information

Meliha Sezgin, Gabriele Kern-Isberner
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Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model

Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Professor, Manar Amayri, Wentao Fan
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An Order-Independent Algorithm for Learning Chain Graphs

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
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One game show, two boys, two aces, three prisoners - what’s an AI to do?

Eric Neufeld, Sonje Finnestad
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Special Track: Autonomous Robots and Agents

Decentralized Swarm Desynchronization via Inter-agent Variation for Logistical Resupply

Annie Wu, Joseph Giordano, H. David Mathias, Arjun Pherwani
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Goal Lifecycle Networks For Robotics

Mark Roberts, Laura M. Hiatt, Vivint Shetty, Benjamin Brumback, Brandon Enochs, Piyabutra Jampathom
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Coordination and Control of Hierarchically Organized Interacting Agents

Sunandita Patra, Paolo Traverso, Malik Ghallab, Dana Nau
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Compilation-Based Approaches to Parallel Planning: An Empirical Comparison

Kristýna Pantůčková, Roman Barták
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Colored Multi-Agent Path Finding: Solving Approaches

Roman Barták, Marika Ivanová, Jiří Švancara
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Agile Tasking of Robotic Systems with Explicit Autonomy

Rafael C. Cardoso, John L. Michaloski, Craig Schlenoff, Angelo Ferrando, Louise A. Dennis, Michael Fisher
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Reducing Efficiency Degradation Due to Scheduled Agent Suspensions by Task Handover in Multi-Agent Cooperative Patrol Problems

Sota Tsuiki, Keisuke Yoneda, Toshiharu Sugawara
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Deadlock-Free Online Plan Repair in Multi-robot Coordination with Disturbances

Adem Coskun, Jason O'Kane, Marco Valtorta
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Special Track: Semantic, Logics, Information Extraction and AI

The Empirical Evaluation of Semantic Alignment Quality Metrics for Vehicle Domain Component Frameworks Interface Ontologies

Sangita De, Premek Brada, Juergen Mottok, Michael Niklas
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Multilingual Automatic Term Extraction in Low-Resource Domains

NGOC TAN LE, Fatiha Sadat
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The Semantics and Collocations Relation in Food Reviews

Fazel Keshtkar, Ledong Shi, Syed Ahmad Chan Bukhari
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Using Deep Learning algorithms to detect the success or failure of the Electroconvulsive Therapy (ECT) sessions

usef faghihi, Cyrus kalantarpour
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Special Track: Neural Networks and Data Mining

Compressing Graph Data by Leveraging Domain Independent Knowledge

Dr. Sirisha Velampalli
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Automated Assessment of Quality of Jupyter Notebooks Using Artificial Intelligence and Big Code

Priti Oli, Rabin Banjade, Lasang Jimba Tamang, Vasile Rus
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Graph Neural Networks for Modeling Causality in International Trade

Anderson Monken, Flora Haberkorn, Munisamy Gopinath, Laura Freeman, Feras A. Batarseh
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Detection Of Vacant Parking Spaces Through The Use Of Convolutional Neural Network

Christopher Singh, Christoforos Christoforou
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Show Me What You’re Looking For Visualizing Abstracted Transformer Attention for Enhancing Their Local Interpretability on Time Series Data

Leonid Schwenke, Martin Atzmueller
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Using deep learning for trajectory classification in imbalanced dataset

Nicksson Ckayo Arrais de Freitas, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Leopoldo Melo Júnioer
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Reconstruction of Total Solar Irradiance by Deep Learning

Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang
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The Uncertainty of Counterfactuals in Deep Learning

Katherine Elizabeth Brown, Doug Talbert, Steve Talbert
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Special Track: Security, Privacy and Trust in AI

Research Challenges in Designing Differentially Private Text Generation Mechanisms

Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
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Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise

Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
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Special Track: AI in Healthcare Informatics

Observing the Unobserved: A Newspaper Based Dengue Surveillance System for the Low-Income Regions of Bangladesh

Nazia Tasnim, Md. Istiak Hossain Shihab, Moqsadur Rahman, Jillur Rahman Saurav, Sheikh Rabiul Islam, Mohammad Ruhul Amin
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Expanding the Reach of Structured EHR Data with Clinical Notes Improving End-of-Life Prediction

Seda Bilaloglu, Vincent J Major, Himanshu Grover, Isabel Metzger, Yindalon Aphinyanaphongs
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Temporal and Causal Relations on Evidence Theory: an Application on Adverse Drug Reactions

Luiz Alberto Pereira Afonso Ribeiro, Ana Cristina Bicharra Garcia, Paulo Sérgio Medeiros dos Santos
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MeDML: Med-Dynamic Meta Learning - A multi-layered representation to identify provider fraud in healthcare

Nitish Kumar, Deepak Chaurasiya, Alok Singh, Siddhartha Asthana, Kushagra Agarwal, Ankur Arora
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De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems

Loick Bourdois, Marta Avalos, Emmanuel Lagarde
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Special Track: Intelligent Learning Technologies

OpenTutor: Designing a Rapid-Authored Tutor that Learns as you Grade

Benjamin D Nye, Rushit Sanghrajka, Vinit Bodhwani, Martin Acob, Daniel Budziwojski, Kayla Carr, Larry Kirshner, William R Swartout
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Virtual Agents for Real Teachers: Applying AI to Support Professional Development of Proportional Reasoning

Benjamin Daniel Nye, Aaron Shiel, Ibrahim Burak Olmez, Anirudh Mittal, Jason Latta, Daniel Auerbach, Yasemin Copur-Gencturk
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Domain Model Discovery from Textbooks for Computer Programming Intelligent Tutors

Rabin Banjade, Priti Oli, Lasang Jimba Tamang, Jeevan Chapagain, Vasile Rus
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Representing Time Series Data in Intelligent Training Systems

Shengnan Hu, Zerong Xi, Greg McGowin, Gita Sukthankar, Stephen M. Fiore, Kevin Oden
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Towards Improving Open Student Answer Assessment using Pretrained Transformers

Nisrine Ait Khayi, Vasile Rus, Lasang Tamang
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Special Track: Artificial Intelligence in Games, Serious Games, and Multimedia

Ontology-based Knowledge System and Team Verification Tool for Competitive Pokemon

Daniel Verdear, Ubbo Visser
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Toward a Competitive Agent Framework for Magic: The Gathering

Chris Alvin, Lori Alvin
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Poster Abstracts

Competence region estimation for black-box surrogate models

Tapan Shah
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Learning from low precision samples

Ji In Choi, Madeleine Georges, Jung Ah Shin, Olivia Wang, Tiffany Zhu, Tapan Shah
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Critique Generation to Increase Diversity in Conversational Recipe Recommender System

Fakhri G Abbas, Nadia Najjar, David Wilson
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Probabilistic reputation networks

Timothy Atkinson
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Bayesian Networks for software testing

Timothy Atkinson, Marius Silaghi
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Technology Policy Recommendations Using Artificial Intelligence

Feras A. Batarseh
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Applications of Machine Learning For Precision Agriculture and Smart Farming

Feras A. Batarseh
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Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Allocation

Feras A. Batarseh, Chih-Hao Huang
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Efficient Algorithmic Music Composition Using Neural Networks

Imad Rahal, Ryan Strelow, Jeremy Iverson
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Analysis of comparative performance of deep learning models for sentiment analysis

Mirza Murtaza
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High Stability Anomaly Detection in Random Environments

Masaru Ide
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Current Issue

Preface

Committee Listings

Invited Talk Abstracts

Main Track Proceedings

Special Track: Applied Natural Language Processing

Special Track: AI for Internet of Things, Maker Education and Creative Learning

Special Track: Uncertain Reasoning

Special Track: Autonomous Robots and Agents

Special Track: Semantic, Logics, Information Extraction and AI

Special Track: Neural Networks and Data Mining

Special Track: Security, Privacy and Trust in AI

Special Track: AI in Healthcare Informatics

Special Track: Intelligent Learning Technologies

Special Track: Artificial Intelligence in Games, Serious Games, and Multimedia

Poster Abstracts