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ORCID30th FLAIRS Conference 2017: Marco Island, Florida, USA
- Vasile Rus, Zdravko Markov:
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017, Marco Island, Florida, USA, May 22-24, 2017. AAAI Press 2017, ISBN 978-1-57735-787-2
General Conference
- Awrad Mohammed Ali, Avelino J. Gonzalez:
Machine Learning from Conversation with Humans. 2-7 - Thomas E. Allen, Cory Siler, Judy Goldsmith:
Learning Tree-Structured CP-Nets with Local Search. 8-13 - Chris Alvin, Sumit Gulwani, Rupak Majumdar, Supratik Mukhopadhyay:
Synthesis of Solutions for Shaded Area Geometry Problems. 14-19 - Darren Scott Appling, Erica J. Briscoe:
The Perception of Social Bots by Human and Machine. 20-25 - Kristjan Arumae, Guo-Jun Qi, Fei Liu:
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. 26-31 - Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev:
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. 32-37 - Diana C. Cavalcanti, Ricardo B. C. Prudêncio:
Unsupervised Aspect Term Extraction in Online Drugs Reviews. 38-43 - Gabriel John Ferrer, Eric Huynh:
Real-Time Imitation Learning of Visual Behavior by a Mobile Robot. 44-49 - Michael W. Floyd, J. T. Turner, David W. Aha:
Using Deep Learning to Automate Feature Modeling in Learning by Observation. 50-55 - Roger Leitzke Granada, Juarez Monteiro, Rodrigo Coelho Barros, Felipe Rech Meneguzzi:
A Deep Neural Architecture for Kitchen Activity Recognition. 56-61 - Naoya Inoue, Andrew S. Gordon:
A Scalable Weighted Max-SAT Implementation of Propositional Etcetera Abduction. 62-67 - Loukia Karanikola, Isambo Karali:
Semantic Web and Ignorance: Dempster-Shafer Description Logics. 68-73 - Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada:
What-If Prediction via Inverse Reinforcement Learning. 74-79 - Francois Lasson, Mihai Polceanu, Cédric Buche, Pierre De Loor:
Temporal Deep Belief Network for Online Human Motion Recognition. 80-85 - Siqi Liu, Adam Wright, Milos Hauskrecht:
Online Conditional Outlier Detection in Nonstationary Time Series. 86-91 - Zhipeng Luo, Milos Hauskrecht:
Group-Based Active Learning of Classification Models. 92-97 - Nabin Maharjan, Rajendra Banjade, Vasile Rus:
Automated Assessment of Open-ended Student Answers in Tutorial Dialogues Using Gaussian Mixture Models. 98-103 - Özgür Lütfü Özçep:
Belief Revision with Bridging Axioms. 104-109 - Geoff Sutcliffe, Francis Jeffry Pelletier, Allen P. Hazen:
Automated Reasoning for the Dialetheic Logic RM3. 110-115 - Vasile Rus, Dipesh Gautam, Dale Bowman, Arthur C. Graesser, David W. Shaffer:
Markov Analysis of Students' Professional Skills in Virtual Internships. 116-121 - Vasile Rus, Nabin Maharjan, Lasang Jimba Tamang, Michael Yudelson, Susan R. Berman, Stephen E. Fancsali, Steven Ritter
:
An Analysis of Human Tutors' Actions in Tutorial Dialogues. 122-127 - Marius-Calin Silaghi, Roussi Roussev, Badria Alfurhood:
Why Do They Vote That? 128-133 - Matthew Jordan Spradling:
Optimizing Expected Utility and Stability in Role Based Hedonic Games. 134-139 - Douglas A. Talbert, Paul Tinker, Tom Crowther, Donald Walker:
Using Machine Learning to Understand Top-Down Effects in an Ecosystem: Opportunities, Challenges, and Lessons Learned. 140-145 - Hugo Traverson, David Genest, Stéphane Loiseau:
Improving Feedbacks for ITS Assessment of Concept Maps. 146-151 - Josh Wade, Josiah Wong, Max Waldor, Lucas Pasqualin, Klaus P. Jantke, Rainer Knauf, Avelino J. Gonzalez:
A Stochastic Approach to Character Growth in Automated Narrative Generation. 152-157 - Richard J. Wallace:
A Normative-Prescriptive-Descriptive Approach to Analyzing CSP Heuristics. 158-163 - Yanbing Xue, Milos Hauskrecht:
Efficient Learning of Classification Models from Soft-label Information by Binning and Ranking. 164-169 - Bahram Zaeri, Ziad Kobti:
Improving Robustness in Social Fabric-Based Cultural Algorithms with Two New Approaches in Population and Belief Spaces. 170-175 - Min Zheng, Samantha Kleinberg:
A Method for Automating Token Causal Explanation and Discovery. 176-181
General Conference Poster Papers
- Zohreh A. Dannenhauer, Michael T. Cox:
Rationale-Based Visual Planning Monitors for Cognitive Systems. 182-185 - K. V. S. Dileep, Swapnil Hingmire, Sutanu Chakraborti:
Complexity Guided Noise Filtering in QA Repositories. 186-189 - Walter Forkel, Tobias Philipp, Adrian Rebola-Pardo, Elias Werner:
Fuzzing and Verifying RAT Refutations with Deletion Information. 190-193 - Ramoni O. Lasisi:
Overlapping Coalition Formation in Multi-sensor Networks. 194-197 - Antônio Leães, Paulo Fernandes, Lucelene Lopes, Joaquim Assunção:
Classifying With AdaBoost.M1: The Training Error Threshold Myth. 198-201 - Halim Sayoud, Salah Khennouf, Hocine Benzerroug, Zohra Hamadache, Hassina Hadjadj, Siham Ouamour:
Automatic Authorship Attribution of Noisy Documents. 202-205 - Armin Seyeditabari, Wlodek Zadrozny:
Can Word Embeddings Help Find Latent Emotions in Text? Preliminary Results. 206-209 - Cory Siler:
Tiered Coalition Formation Games. 210-214
Special Track on Applications of Artificial Intelligence in Business and Industry
- Cynthia Freeman, Ian Beaver:
Online Proactive Escalation in Multi-Modal Automated Assistants. 215-220 - Yun Zhu, Faizan Javed, Ozgur Ozturk:
Document Embedding Strategies for Job Title Classification. 221-226 - Stephan Chang, Felipe Meneguzzi:
Forecasting Demand with Limited Information Using Gradient Tree Boosting. 227-230 - Jun Fujima, Klaus P. Jantke, Oksana Arnold, Bernd Schmidt:
Interaction Semantics versus Interaction Syntax in Data Visualization and Exploration: Design, Implementation and Utilization of Meme Media. 231-234 - Matthew Whitehead, Daniel K. N. Johnson:
A Tool for Visualizing and Exploring Relationships Among Cancer-Related Patents. 235-239
Special Track on Applied Natural Language Processing
- Laura Kristen Allen, Aaron D. Likens, Danielle S. McNamara:
Recurrence Quantification Analysis: A Technique for the Dynamical Analysis of Student Writing. 240-245 - Willian Becker, Jonatas Wehrmann, Henry E. L. Cagnini, Rodrigo C. Barros:
An Efficient Deep Neural Architecture for Multilingual Sentiment Analysis in Twitter. 246-251 - Cristian Cardellino, Milagro Teruel, Laura Alonso Alemany, Serena Villata:
Learning Slowly To Learn Better: Curriculum Learning for Legal Ontology Population. 252-257 - Dirk De Hertog, Piet Desmet:
Multiword Term Extraction through Lexical Head Selection. 258-263 - Elena Filatova:
Sarcasm Detection Using Sentiment Flow Shifts. 264-269 - Ali Heidari, Meredith D'Arienzo, Scott A. Crossley, Nicholas D. Duran:
Computational Analysis of Lexical and Cohesion Differences in Deceptive Language: The Role of Accordance. 270-275 - Natalie Parde, Rodney D. Nielsen:
#SarcasmDetection Is Soooo General! Towards a Domain-Independent Approach for Detecting Sarcasm. 276-281 - Stephen Cameron Skalicky, Scott Andrew Crossley, Danielle S. McNamara, Kasia Muldner:
Automatically Identifying Humorous and Persuasive Language Produced during a Creative Problem-Solving Task. 282-287 - Sansiri Tarnpradab, Fei Liu, Kien A. Hua:
Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks. 288-292 - Scott A. Crossley, Mihai Dascalu, Danielle S. McNamara:
How Important Is Size? An Investigation of Corpus Size and Meaning in Both Latent Semantic Analysis and Latent Dirichlet Allocation. 293-296 - Reva Freedman:
Can Natural Language Processing Help Identify the Author(s) of the Book of Isaiah? 297-300 - Paul McNamee, James Mayfield, Samantha Y. Rowe, Alexander K. Rowe, Hannah L. Jackson, Megan Baker:
High Recall Text Classification for Public Health Systematic Review. 301-305
Special Track on Artificial Intelligence and Cyber Security
- Lenin Mookiah, Chris Dean, William Eberle:
Graph-Based Anomaly Detection on Smart Grid Data. 306-311 - Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Chad Calvert, Clifford Kemp:
A Text Mining Approach for Anomaly Detection in Application Layer DDoS Attacks. 312-317 - Chulwoo Kim, Sung-Hyuk Cha, Yoo Jung An, Ned Wilson:
On ROC Curve Analysis of Artificial Neural Network Classifiers. 318-322
Special Track on Artificial Intelligence for Big Social Data Analysis
- Iti Chaturvedi, Erik Cambria, Sandro Cavallari, Vincent Wenchen Zheng:
Learning Word Vectors in Deep Walk using Convolution. 323-328 - Philippe Lemoisson, Guillaume Surroca, Clément Jonquet, Stefano Alessandro Cerri:
ViewpointS: When Social Ranking Meets the Semantic Web. 329-334 - Anupam Mondal, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay:
MediConceptNet: An Affinity Score Based Medical Concept Network. 335-340 - Diogo Ferreira Pacheco, Marcos A. C. Oliveira, Ronaldo Menezes:
Using Social Media to Assess Neighborhood Social Disorganization: A Case Study in the United Kingdom. 341-346 - Haiyun Peng, Erik Cambria, Xiaomei Zou:
Radical-Based Hierarchical Embeddings for Chinese Sentiment Analysis at Sentence Level. 347-352 - Joseph D. Prusa, Taghi M. Khoshgoftaar:
Deep Neural Network Architecture for Character-Level Learning on Short Text. 353-358 - Priya Saha, Diogo Ferreira Pacheco, Ronaldo Menezes:
Language as a Measure of Welfare. 359-364 - Ceyda Sanli, Anupam Mondal, Erik Cambria:
Tracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups. 365-370 - Scott Wahl, John Sheppard:
Fuzzy Spectral Hierarchical Communities in Evolving Political Contribution Networks. 371-376 - Mimansa Jaiswal, Sairam Tabibu, Erik Cambria:
"Hang In There: " Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses. 377-381
Special Track on Artificial Intelligence in Games, Serious Games, and Multimedia
- Ramla Ghali, Hamdi Ben Abdessalem, Claude Frasson:
Improving Intuitive Reasoning Through Assistance Strategies in a Virtual Reality Game. 382-387 - Will Hancock, Michael W. Floyd, Matthew Molineaux, David W. Aha:
Towards Deception Detection in a Language-Driven Game. 388-393 - Luiz Kummer, Júlio C. Nievola, Emerson Cabrera Paraiso:
A Key Risk Indicator for the Game Usage Lifecycle. 394-399 - Alban Paul Delamarre, Cédric Buche, Mihai Polceanu, Stephanie Lunn, Guido Ruiz, Santiago Bolivar, Elisa Shernoff, Christine L. Lisetti:
An Interactive Virtual Training (IVT) Simulation for Early Career Teachers to Practice in 3D Classrooms with Student Avatars. 400-403 - Brian Jacob Dellinger, Ronald Jenkins, Joshua Walton:
Automated Waypoint Generation with the Growing Neural Gas Algorithm. 404- - Matthew William Fendt:
Game-Based Learning about 19th Century Poets. 208-411 - Ilya Makarov, Oleg Konoplia, Pavel Polyakov, Maxim Martynov, Peter Zyuzin, Olga Gerasimova, Valeria Bodishtianu:
Adapting First-Person Shooter Video Game for Playing with Virtual Reality Headsets. 412-416
Special Track on Artificial Intelligence in Healthcare Informatics
- Richard A. Bauder, Taghi M. Khoshgoftaar:
Multivariate Anomaly Detection in Medicare using Model Residuals and Probabilistic Programming. 417-422 - Ramesh Paudel, William Eberle, Douglas A. Talbert:
Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach. 423-429
Special Track on Autonomous Robots and Agents
- Ron Artstein, David R. Traum, Jill Boberg, Alesia Gainer, Jonathan Gratch, Emmanuel Johnson, Anton Leuski, Mikio Nakano:
Listen to My Body: Does Making Friends Help Influence People? 430-435 - Roman Barták, Marta Vomlelová:
Using Machine Learning to Identify Activities of a Flying Drone from Sensor Readings. 436-441 - Matthew Joseph O'Brien, Ronald Craig Arkin:
Modeling Temporally Dynamic Environments for Persistent Autonomous Agents. 442-447 - Kyle Poore, Joseph G. Masterjohn, Andreas Seekircher, Pedro Peña, Ubbo Visser:
DTMF Audio Communication for NAO Robots. 448-453 - Julien Savaux, Julien Vion, Sylvain Piechowiak, René Mandiau, Toshihiro Matsui, Katsutoshi Hirayama, Makoto Yokoo, Shakre Elmane, Marius Silaghi:
Utilitarian Approach to Privacy in Distributed Constraint Optimization Problems. 454-459 - Frederick Charles Webber, Gilbert L. Peterson:
Enhancing Multi-Objective Reinforcement Learning with Concept Drift. 460-465 - Annie S. Wu, Vera A. Kazakova:
Effects of Task Consideration Order on Decentralized Task Allocation Using Time-Variant Response Thresholds. 466-471 - Christopher Michael Reardon, Jonathan Fink:
Towards Joint Human-Robotic Solutions to Surveillance Problems. 472-476
Special Track on Case-Based Reasoning
- Vahid Badou Gustave Eyorokon, Uday S. Panjala, Michael T. Cox:
Case-Based Goal Trajectories for Knowledge Investigations. 477-482 - Daniel López Sánchez, Juan M. Corchado, Angélica González Arrieta:
A CBR System for Image-Based Webpage Classification: Case Representation with Convolutional Neural Networks. 483-488 - Brandon Packard, Santiago Ontañón:
Feature Selection for Learning from Demonstration in Minecraft. 489-494 - Ioannis Agorgianitis, Stelios Kapetanakis, Miltos Petridis, Andrew Fish:
Business Process Workflow Monitoring Using Distributed CBR with GPU Computing. 495-498 - Isabelle Bichindaritz, Cindy Marling, Stefania Montani:
Recent Themes in Case-Based Reasoning and Knowledge Discovery. 499-502 - Elizabeth Taylor Whitaker, Ethan Brantley Trewhitt, David Rosenbluth:
Cognitive Adaptive Learning, Classification, and Response for Communications Threats (CALCR): A Case-Based Reasoning Approach. 503-507
Special Track on Data Mining
- Shubham Chamadia, Dimitris A. Pados:
Outlier Processing Via L1-Principal Subspaces. 508-513 - Blerim Emruli, Tomas Olsson, Anders Holst:
pyISC: A Bayesian Anomaly Detection Framework for Python. 514-519 - Sajitha Naduvil-Vadukootu, Rafal A. Angryk, Pete Riley:
Evaluating Preprocessing Strategies for Time Series Prediction using Deep Learning Architectures. 520-525 - Michael A. Schuh, Dustin Kempton, Rafal A. Angryk:
A Region-Based Retrieval System for Heliophysics Imagery. 526-531 - Akshay Soni, Yashar Mehdad:
RIPML: A Restricted Isometry Property-Based Approach to Multilabel Learning. 532-537 - Sirisha Velampalli, William Eberle:
Novel Graph Based Anomaly Detection Using Background Knowledge. 538-543 - Nishith Mukeshkumar Thakkar, Lenin Mookiah, Douglas A. Talbert, William Eberle:
Anomalies in Students Enrollment Using Visualization. 544-548
Special Track on Intelligent Learning Technologies
- Alessio Gaspar, A. T. M. Golam Bari, R. Paul Wiegand, Anthony Bucci, Amruth N. Kumar, Jennifer L. Albert:
Evolutionary Practice Problems Generation: More Design Guidelines. 549-554 - Aubrey Gress, Jeremiah T. Folsom-Kovarik, Ian Davidson:
Transfer Learning in Intelligent Tutoring Systems - Results, Challenges and New Directions. 555-560 - Amy Marcelle Johnson, Kathryn S. McCarthy, Kristopher J. Kopp, Cecile A. Perret, Danielle S. McNamara:
Adaptive Reading and Writing Instruction in iSTART and W-Pal. 561-566 - Eni Mustafaraj, Franklyn A. Turbak, Maja Svanberg:
Identifying Original Projects in App Inventor. 567-573
Special Track on Intelligent Support for Decision Making
- Andrew Kuipers, Jörg Denzinger:
A Challenge for Multi-Party Decision Making: Malicious Argumentation Strategies. 574-579 - Preet Inder Singh Rihan, Ritesh Garodia, Adeel Siddiqui, Roman Filipovych:
Making Decisions Using Realistic Estimates of Customer Satisfaction. 580-585
Special Track on Learning from Heterogeneous Data Analytics
- Janani Balaji, Faizan Javed, Chris Min, Sam Sander:
An Ensemble Blocking Approach for Entity Resolution of Heterogeneous Datasets. 586-591 - Kavita Sanjay Asnani, Jyoti D. Pawar:
Discovering Language Independent Latent Aspect Clusters from Code-mixed Social Media Text. 592-595 - Alan Diego dos Santos, Duncan D. A. Ruiz:
Virtual Screening Assisted by Siamese Neural Networks. 596-600
Special Track on Natural Language Processing of Ancient and Other Low-Resource Languages
- Chris Culy, Eleonora Litta, Marco Passarotti:
Visual Exploration of Latin Derivational Morphology. 601-606 - Halim Sayoud, Siham Ouamour:
Score Fusion Based Authorship Attribution of Ancient Arabic Texts. 607-612 - Donald Sturgeon:
Unsupervised Extraction of Training Data for Pre-Modern Chinese OCR. 613-618 - Shuo Zhang, Amir Zeldes:
GitDOX: A Linked Version Controlled Online XML Editor for Manuscript Transcription. 619-623 - Costanza Conforti, Alexander M. Fraser:
Supervised Word Sense Disambiguation for Venetan: A Proof-of-Concept Experiment. 624-627 - James Hearne, Connon Anderson, Yudong Liu, Dannon Dixon, Dario Fenstermacher Ritchie:
Dating Tablets in the Garshana Corpus. 628-631
Special Track on Non-Classical Logics
- Ilya Makarov, Valeria Bodishtianu:
Logic of Existentialism in Fiction. 632-638
Special Track on Recommender Systems
- Michael D. Ekstrand, Vaibhav Mahant:
Sturgeon and the Cool Kids: Problems with Random Decoys for Top-N Recommender Evaluation. 639-644 - Dietmar Jannach, Malte Ludewig:
Investigating Personalized Search in E-Commerce. 645-650 - Francisco J. Peña, Derek Bridge:
Recommending from Experience. 651-656 - Sushma Channamsetty, Michael D. Ekstrand:
Recommender Response to Diversity and Popularity Bias in User Profiles. 657-660 - Nevena Dragovic, Maria Soledad Pera:
Exploiting Reviews to Generate Personalized and Justified Recommendations to Guide Users' Selections. 661-664 - Jason Hall, Maria Soledad Pera:
UBR: A Book Search - Recommender Hybrid. 665-669
Special Track on Semantic, Logics, Information Extraction and Artificial Intelligence
- Jean-Rémi Bourguet:
Worldwide Scholarships Spreading. 670-675 - Jean-Pierre Desclés, Anca Pascu, Ismaïl Biskri:
Quasi-Topological Structure of Extensions in Logic of Determination of Objects (LDO) for Typical and Atypical objects. 676-681 - Musab Ghadi, Lamri Laouamer, Laurent Nana, Anca Pascu:
A Robust Watermarking System Based on Formal Concept Analysis and Texture Analysis. 682-687 - Jansen R. K. Orfan, James F. Allen:
Identifying Underlying Commonsense Knowledge in Definitions. 688-693 - Nandan Parameswaran, Pani N. Chakrapani:
Modeling wth Events from Polcy Descriptions. 694-699 - Marcos Roberto Ribeiro, Maria Camila Nardini Barioni, Sandra de Amo, Claudia Roncancio, Cyril Labbé:
Reasoning with Temporal Preferences over Data Streams. 700-705 - Louis Rompré, Ismaïl Biskri, Jean-Guy Meunier:
Using Association Rules Mining for Retrieving Genre-Specific Music Files. 706-711 - Roussi Roussev, Marius Silaghi:
A Logic for Making Hard Decisions. 712-717
Special Track on Uncertain Reasoning
- Zeinab Bahmani, Leopoldo E. Bertossi:
Enforcing Relational Matching Dependencies with Datalog for Entity Resolution. 718-723 - Christoph Beierle, Steven Kutsch, Andreas Obergrusberger:
On the Interrelationships Among C-Inference Relations Based on Preferred Models for Sets of Default Rules. 724-729 - Cory James Butz, André Evaristo dos Santos, Jhonatan Souza Oliveira:
On Finding Relevant Variables in Discrete Bayesian Network Inference. 730-735 - Maroua Haddad, Philippe Leray, Amélie Levray, Karim Tabia:
Learning the Parameters of Possibilistic Networks from Data: Empirical Comparison. 736-741 - Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard:
Learning and Selection of Dynamic Bayesian Networks for Non-Stationary Processes in Real Time. 742-747 - Marco Wilhelm, Gabriele Kern-Isberner:
Typed Model Counting and Its Application to Probabilistic Conditional Reasoning at Maximum Entropy. 748-753 - Yang Xiang:
Extraction of NAT Causal Structures Based on Bipartition. 754-759 - Mohand Saïd Allili, Siham Bacha:
Feature Relevance in Bayesian Network Classifiers and Application to Image Event Recognition. 760-763 - Daan Apeldoorn, Gabriele Kern-Isberner:
Towards An Understanding of What is Learned: Extracting Multi-Abstraction-Level Knowledge from Learning Agents. 764-767 - Nazzira Guerrero-Jezzinin, Pablo H. Ibargüengoytia, Luis Enrique Sucar:
A Probabilistic Spatial-Temporal Model and its Application to Wind Prediction. 768-772
Poster Abstracts
- FLAIRS-30 Poster Abstracts. 773-781
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