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Home / Proceedings / Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference (FLAIRS 2020) /

All Papers

Main Track

  • The Objective of Simple Novelty Search

    R. Paul Wiegand

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  • Super Altruistic Hedonic Games

    Jacob Schlueter, Judy Goldsmith

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  • Internal Stability in Hedonic Games

    Jacob Schlueter, Judy Goldsmith

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  • Bounded-Memory Criteria for Streams with Application Time

    Simon Schiff, özgür L. özçep

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  • Solving Weighted Abduction via Max-SAT Solvers

    Yoichi Sasaki, Takanori Maehara, Takumi Akazaki, Kazeto Yamamoto, Kunihiko Sadamasa

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  • Real-Time Detection and Prediction of Relative Motion of Moving Objects in Autonomous Driving

    Lalintha G. Polpitiya, Kamal Premaratne

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  • Figure Descriptive Text Extraction Using Ontological Representation

    Gilchan Park, Julia Taylor Rayz, Line Pouchard

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  • New Approaches in Ordinal Pattern Representations for Multivariate Time Series

    Marisa Mohr, Florian Wilhelm, Mattis Hartwig, Ralf Möller, Karsten Keller

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  • Theory Interpretations for Topic Models

    Felix Kuhr, özgür L. özcep

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  • Secure Industrial Control System with Intrusion Detection

    M. Rayhan Ahmed Mithu, Vadim Kholodilo, Rajesh Manicavasagam, Denis Ulybyshev, Mike Rogers

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  • Modeling Novel Solutions to Creative Problem Solving Tasks with Subjective Observers

    Chris Miller, Arnav Jhala

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  • Towards Concise, Machine-Discovered Proofs of Gödel’s Two Incompleteness Theorems

    Elijah Malaby, Bradley Dragun, John Licato

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  • Music Stimuli for EEG-Based User Authentication

    Sukun Li, Leonard Marino, Vineetha Alluri

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  • Clinical Event Time-Series Modeling with Periodic Events

    Jeong Min Lee, Milos Hauskrecht

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  • Attention Based Transformer for Student Answers Assessment

    Nisrine Ait Khayi, Vasile Rus

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  • Node Similarity For Anomaly Detection in Attributed Graphs

    Prajjwal Kandel, William Eberle

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  • Towards Quantification of Explainability in Explainable Artificial Intelligence Methods

    Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor

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  • A Lexicographic Strategy for Approximating Dominance in CP-Nets

    Michael Huelsman, Mirosław Truszczyński

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  • Improving Classification Accuracy by Mining Deterministic and Frequent Rules

    Yuxiao Huang

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  • Constructing Gaussian Processes for Probabilistic Graphical Models

    Mattis Hartwig, Marisa Mohr, Ralf Möller

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  • Limits of the Technological Singularity

    Curry I. Guinn

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  • Spatially Aligned Clustering of Driving Simulator Data

    David Grethlein, Santiago Ontañón

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  • Most Important Fundamental Rule of Poker Strategy

    Sam Ganzfried, Max Chiswick

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  • Improving Costs and Robustness of Machine Learning Classifiers Against Adversarial Attacks via Self Play of Repeated Bayesian Games

    Prithviraj Dasgupta, Joseph B. Collins, Michael McCarrick

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  • Prediction of Bayesian Intervals for Tropical Storms

    Max Chiswick, Sam Ganzfried

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  • Character Depth and Sentence Diversification in Automated Narrative Generation

    Brooke Bottoni, Yasmine Moolenaar, Anthony Hevia, Thomas Anchor, Kyle Benko, Rainer Knauf, Klaus Jantke, Avelino Gonzalez, Annie Wu

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  • Encoding Neighbor Information into Geographical Embeddings Using Convolutional Neural Networks

    Christopher Blier-Wong, Jean-Thomas Baillargeon, Hélène Cossette, Luc Lamontagne, Etienne Marceau

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  • On Dealing with Conflicting, Uncertain and Partially Ordered Ontologies

    Sihem Belabbes, Salem Benferhat

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Main Track Posters

  • Clustering Partial Lexicographic Preference Trees

    Joseph Allen, Xudong Liu, Karthikeyan Umapathy, Sandeep Reddivari

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  • Chunk-Based Incremental Classification of Fraud Data

    Farzana Anowar, Samira Sadaoui

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  • Approximate MMAP by Marginal Search

    Alessandro Antonucci, Thomas Tiotto

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  • RALE-ACL — A Language for Information Exchange between Case-Based Agents as Alternative to the FIPA-ACL-Based Communication

    Viktor Eisenstadt, Klaus-Dieter Althoff

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  • A Preliminary Study of Spatial Bias in Knn Distance Metrics

    Gabriel J. Ferrer

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  • Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems

    Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher

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  • Probing the Natural Language Inference Task with Automated Reasoning Tools

    Zaid Marji, Animesh Nighojkar, John Licato

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  • Using Simulated Annealing to Declutter Genome Visualizations

    Jorge Núñez Siri, Eric Neufeld, Isobel Parkin, Andrew Sharpe

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  • Middleware Unifying Framework for Independent Nodes System (MUFFINS)

    James S. Okolica, Gilbert L. Peterson, Michael J. Mendenhall

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  • Improving the EDCM Mixture Model with Expectation Propagation

    Xavier Sumba, Nuha Zamzami, Nizar Bouguila

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  • Decentralized Marriage Models

    Kshitija Taywade, Judy Goldsmith, Brent Harrison

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  • COPD Disease Classification Using Network Embedding with Synthetic Relationships

    Anak Wannaphaschaiyong, Xingquan Zhu

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Special Track on Applied Natural Language Processing

  • Impact of a New Word Embedding Cost Function on Farsi-Spanish Low-Resource Neural Machine Translation

    Benyamin Ahmadnia, Bonnie J. Dorr

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  • Establishing Strong Baselines for the New Decade: Sequence Tagging, Syntactic and Semantic Parsing with BERT

    Han He, Jinho Choi

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  • Syntactic Neural Model for Authorship Attribution

    Fereshteh Jafariakinabad, Sansiri Tarnpradab, Kien A. Hua

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  • Abstractive Summarization for Low Resource Data Using Domain Transfer and Data Synthesis

    Ahmed Magooda, Diane Litman

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  • Reliability of Perplexity to Find Number of Latent Topics

    Asana Neishabouri, Michel C. Desmarais

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  • Interactive Summarization for Data Filtering and Triage

    Justus Robertson, Brent Harrison, Arnav Jhala

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  • Narrative Origin Classification of Israeli-Palestinian Conflict Texts

    Jason Wei, Eugene Santos Jr.

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  • Pre-Training A Neural Language Model Improves the Sample Efficiency of an Emergency Room Classification Model

    Binbin Xu, Cédric Gil-Jardiné, Frantz Thiessard, Eric Tellier, Marta Avalos-Fernandez, Emmanuel Lagarde

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  • An Ensemble Neural Network for the Emotional Classification of Text

    Oscar Youngquist

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  • EmpTransfo: A Multi-Head Transformer Architecture for Creating Empathetic Dialog Systems

    Rohola Zandie, Mohammad H. Mahoor

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  • Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis

    Joschka Kersting, Michaela Geierhos

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  • Attend to the Beginning: A Study on Bidirectional Attention for Extractive Summarization

    Ahmed Magooda, Cezary Marcjan

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  • Detecting Preposition Errors to Target Interlingual Errors in Second Language Writing

    Natawut Monaikul, Barbara Di Eugenio

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  • A Computational Approach to Assessing Nominalizations in Academic Writing

    Yanisa Haley Scherber

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  • Gazetteer Generation for Neural Named Entity Recognition

    Chan Hee Song, Dawn Lawrie, Tim Finin, James Mayfield

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Special Track on Artificial Intelligence for Big Social Data Analysis

  • Towards Real-Time and Unsupervised Campaign Detection in Social Media

    Dennis Assenmacher, Lena Adam, Heike Trautmann, Christian Grimme

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

  • Automatic Identification of Guitar Types from Prerecorded Audio

    Lubomir Ivanov, Jhavagne Dunn

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  • Bully: A Virtual Reality Environment for Anti-Bullying Education

    Lubomir Ivanov, Nina Ramos

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Special Track on Artificial Intelligence in Healthcare Informatics

  • Experimentation on Hand Drawn Sketches by Children to Classify Draw-a-Person Test Images in Psychology

    Ochilbek Rakhmanov, Nwojo Nnanna Agwu, Steve Adeshina

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  • CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records

    Amirsina Torfi, Edward A. Fox

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  • Modeling Latent Comorbidity for Health Risk Prediction Using Graph Convolutional Network

    Rui Wang, Ming-Ching Chang, Marleen Radigan

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  • Learning to Recognise Exercises in the Self-Management of Low Back Pain

    Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper, Kerstin Bach

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  • Survival Prediction of Breast Cancer Patient from Gene Methylation Data with Deep LSTM Network and Ordinal Cox Model

    Isabelle Bichindaritz, Guanghui Liu, Christopher Bartlett

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  • MedFroDetect: Medicare Fraud Detection with Extremely Imbalanced Class Distributions

    Yuping Su, Xingquan Zhu, Bei Dong, Yumei Zhang, Xiaojun Wu

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  • Goal Summarization for Human-Human Health Coaching Dialogues

    Itika Gupta, Barbara Di Eugenio, Brian Ziebart, Bing Liu, Ben Gerber, Lisa Sharp

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  • Not All Samples are Equal: Class Dependent Hierarchical Multi-Task Learning for Patient Diagnosis Classification

    Salim Malakouti, Milos Hauskrecht

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Special Track on Autonomous Robots and Agents

  • Energy-Aware Path Planning for Autonomous Mobile Robot Navigation

    Renan Maidana, Roger Granada, Darlan Jurak, Maurício Magnaguagno, Felipe Meneguzzi, Alexandre Amory

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  • Improving Multi-Agent System Coordination Via Intensity Variation

    David H. Mathias, Annie S. Wu, Laik Ruetten, Eric Coursin

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  • Model-Free Reinforcement Learning Approach for Leader-Follower Formation Using Nonholonomic Mobile Robots

    Md Suruz Miah, Amr Elhussein, Fazel Keshtkar, Mohammed Abouheaf

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  • Recreating Bat Behavior on Quad-Rotor UAVs—A Simulation Approach

    M. Hassan Tanveer, Antony Thomas, Xiaowei Wu, Rolf Müller, Pratap Tokekar, Hongxiao Zhu

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  • Effects of Response Threshold Distribution on Dynamic Division of Labor in Decentralized Swarms

    Annie S. Wu, David H. Mathias, Joseph P. Giordano, Anthony Hevia

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  • Discovering Hierarchies for Reinforcement Learning Using Data Mining

    Dave Mobley, Judy Goldsmith, Brent Harrison

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  • Using Reinforcement Learning to Manage Communications Between Humans and Artificial Agents in an Evacuation Scenario

    Skanda Vaidyanath, Kallirroi Georgila, David Traum

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Special Track on Case-Based Reasoning

  • Case-Based Reasoning for the Analysis of Methylation Data in Oncology

    Christopher Bartlett, Guanghui Liu, Isabelle Bichindaritz

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  • Case-Based Explanations and Goal Specific Resource Estimations

    Venkatsampath Raja Gogineni, Sravya Kondrakunta, Matthew Molineaux, Michael T. Cox

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  • On the Explanation of Similarity for Developing and Deploying CBR Systems

    Kerstin Bach, Paul Jarle Mork

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  • Deep Feature Extraction for Representing and Classifying Time Series Cases: Towards an Interpretable Approach in Haemodialysis

    Giorgio Leonardi, Stefania Montani, Manuel Striani

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Special Track on Data Mining

  • Assessing Modality Selection Heuristics to Improve Multimodal Machine Learning for Malware Detection

    Farzana Ahamed Bhuiyan, Katherine E. Brown, Md Bulbul Sharif, Quentin D. Johnson, Douglas A. Talbert

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  • Uncertainty Quantification in Multimodal Ensembles of Deep Learners

    Katherine E. Brown, Farzana Ahamed Bhuiyan, Douglas A. Talbert

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  • Towards Automatic Clustering Analysis Using Traces of Information Gain: The InfoGuide Method

    Paulo Rocha, Diego Pinheiro, Martin Cadeiras, Carmelo Bastos-Filho

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Special Track on Intelligent Learning Technologies

  • Detecting Trait versus Performance Student Behavioral Patterns Using Discriminative Non-Negative Matrix Factorization

    Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky

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  • Query-Based Generation of Trigonometric Identity Problems and Solutions

    Meredith Pearce, Jonathan McKinney, Chris Alvin

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  • The Effects of Open Self-Explanation Prompting During Source Code Comprehension

    Lasang Jimba Tamang, Zeyad Alshaikh, Nisrine Ait Khayi, Vasile Rus

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  • Experiments with a Socratic Intelligent Tutoring System for Source Code Understanding

    Zeyad Alshaikh, Lasang Tamang, Vasile Rus

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  • Analysis of Region-Based Integral Calculus Problems

    Chris Alvin, Adam Byerly

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Special Track on Neural Networks

  • Impact of Augmenting GRU Networks with Iterative and Direct Strategies for Traffic Speed Forecasting

    Armando Fandango, Paul Wiegand, Liqiang Ni, Samiul Hasan

    PDF
  • Stochastic Reinforcement Learning for Continuous Actions in Dynamic Environments

    Syed Naveed Hussain Shah, Dean Frederick Hougen

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  • Unsupervised Embedding Learning for Human Activity Recognition Using Wearable Sensor Data

    Taoran Sheng, Manfred Huber

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  • Boosting Arabic Named Entity Recognition Transliteration with Deep Learning

    Manar Alkhatib, Khaled Shaalan

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Special Track on Recommender Systems

  • Debiased Offline Evaluation of Active Learning in Recommender Systems

    Diego Carraro, Derek Bridge

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  • Modeling User Preferences Using Relative Feedback for Personalized Recommendations

    Saikishore Kalloori, Tianyu Li

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  • CAARS: A Context-Aware Artist Recommender System for Twitter Users

    Linh Tang, Fahmida Hamid

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Special Track on Security, Privacy and Trust in the Big Data and AI Age

  • Variance Linear Discriminant Analysis for IRIS Biometrics

    Sung-Hyuk Cha, Teryn Cha

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Special Track on Semantic, Logics, Information Extraction and AI

  • Extract Semantic Pattern from Trolling Data

    Sayef Iqbal, Fazel Keshtkar, Soon Ae Chun

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  • Modeling Procedural State Changes over Time with Probabilistic Soft Logic

    Michael Mohler, Sean Monahan, Marc Tomlinson

    PDF
  • From Association to Reasoning, an Alternative to Pearls’ Causal Reasoning

    Usef Faghihi, Serge Robert, Pierre Poirier, Youssef Barkaoui

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  • Automatic Grammar Checkers to the Rescue of French L2 Object Clitics

    Adel Jebali

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  • Learning Picture Languages Represented as Strings

    David Kuboñ, František Mráz

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  • How to Act? Reasoning with Conflicting Obligations

    Clayton Peterson

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Special Track on Spoken Language Processing and Conversational Systems

  • Intelligent Assistant for Exploring Data Visualizations

    Abhinav Kumar, Jillian Aurisano, Barbara Di Eugenio, Andrew Johnson

    PDF
  • Context-Centric Approach in Paralinguistic Affect Recognition System

    Andreas Marpaung, Avelino Gonzalez

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  • Can Machines Learn Continuous Measures of Speech Severity from Ordinal Training Labels?

    Alan Wisler, Kristin Teplansky, Jordan R. Green, Sara G. Austin, Jun Wang

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Special Track on Uncertain Reasoning

  • Tuning Logical Argumentation Frameworks: A Postulate-Derived Approach

    Ofer Arieli, AnneMarie Borg, Christian Straßer

    PDF
  • Transforming Conditional Knowledge Bases into Renaming Normal Form

    Christoph Beierle, Jonas Haldimann

    PDF
  • Social Pooling of Beliefs and Values with Desirability

    Arianna Casanova, Enrique Miranda, Marco Zaffalon

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  • On the Correspondence between Abstract Dialectical Frameworks and Nonmonotonic Conditional Logics

    Jesse Heyninck, Gabriele Kern-Isberner, Matthias Thimm

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  • Constaint-Based Learning for Non-Parametric Continuous Bayesian Networks

    Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin

    PDF
  • Generalized Ranking Kinematics for Iterated Belief Revision

    Meliha Sezgin, Gabriele Kern-Isberner

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  • Context-Based Inferences from Probabilistic Conditionals with Default Negation at Maximum Entropy

    Marco Wilhelm, Gabriele Kern-Isberner

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  • Learning NAT-Modeled Bayesian Networks from Data

    Yang Xiang, Qian Wang

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  • An Adaptive Model for Cognitive Reasoning

    Jonas Bischofberger, Marco Ragni

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  • How to Avoid Weight Inconsistencies in Social Networks – an Entropy-Driven Approach –

    Andreas Dellnitz, Elmar Reucher, Wilhelm Rödder

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  • Representation of Indifference and Preference Ordering Between Random Variables by Coherent Upper and Lower Conditional Previsions Defined by Hausdorff Outer and Inner Measures

    Serena Doria

    PDF
  • Uncertain Reasoning in Rule-Based Systems Using PRM

    Gaspard Ducamp, Philippe Bonnard, Pierre-Henri Wuillemin

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  • MCMC-Based Learning of Finite Bivariate Beta Mixture Models

    Maryam Rasti, Narges Manouchehri, Nizar Bouguila

    PDF

Poster Abstracts

  • FLAIRS-33 Poster Abstracts

    Eric Bell, Roman Barták

    PDF

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