1

The Thirtieth International Florida

Artificial Intelligence Research Society Conference

Program of Events

Proceedings available online at:

http://www.aaai.org/FLAIRS/

and http://www.aaai.org/Library/FLAIRS/flairs17contents.php

May 22-24, 2017 The Hilton Marco Island Beach Resort and Spa

Marco Island, Florida, USA

2

The 30th International Florida Artificial Intelligence Research Society Conference

Welcome from the Conference Chairs Welcome to the 30th International FLAIRS conference and to wonderful Marco Island, Florida! FLAIRS-30 continues the tradition of previous FLAIRS conferences with a high quality program. The call for papers attracted 199 paper submissions (55 to the general conference and 144 to the special tracks), and 26 poster abstracts. Special tracks are a vital part of the FLAIRS conferences, with 17 being held at FLAIRS-30. All papers were reviewed by at least three reviewers, and were coordinated by the program committees of the general conference and the special tracks. The accepted submissions include 103 full papers (30 from the general conference and 73 from the special tracks), 36 short papers presented as posters (8 from the general conference and 28 from the special tracks), and 25 poster abstracts that appear in the proceedings. In addition to the diverse assortment of papers, one of the highlights of the program are the invited speakers. Our General Conference Invited Keynote Speakers are Thomas G. Dietterich (Oregon State University, USA), Jiawei Han (University of Illinois at Urbana-Champaign), and James Allen (Florida Institute of Human and Machine Cognition and the University of Rochester). In addition, our Special Track Invited Speakers are David Traum (USC/ICT), Guy Van den Broeck (University of California at Los Angeles), Kyle Johnson (Accenture), and David Aha (Naval Research Laboratory). This program is the product of the collaboration and hard work of several people, whom we consider ourselves fortunate to have worked with. We are grateful to all special track organizers and their committees, whose work resulted in an outstanding and diverse set of talks that span numerous areas within AI. We have been looking forward to the conference and also to be meeting in Marco Island. The Hilton Marco Island Beach Resort and Spa is a full-service destination resort, located on 10.5 oceanfront acres of the world-class, white sandy beaches of Marco Island overlooking the Gulf of Mexico. We hope you find the conference enriching and that you find time to explore what Marco Island has to offer. Again, welcome to FLAIRS-30. We are glad you are able to join us this year!

Ingrid Russell, Zdravko Markov, Keith Brawner, and Vasile Rus FLAIRS-30 Organizing Team

3

2017 Florida Artificial Intelligence Research Society Officers

President Geoff Sutcliffe (University of Miami, USA)

Vice President

David Wilson (UNC Charlotte, USA)

Treasurer Susan Haller (State University of New York Potsdam, USA)

Secretary

H. Chad Lane (University of Illinois at Urbana-Champaign, USA)

FLAIRS-30 Organizing Committee

Conference Chair Ingrid Russell (University of Hartford, USA)

Conference Program Co-chairs

Vasile Rus (University of Memphis, USA) Zdravko Markov (Central Connecticut State University, USA)

Conference Special Tracks Coordinator

Keith Brawner (Army Research Laboratory, USA)

FLAIRS-30 Program Committee

Martin Atzmueller (University of Kassel, Germany) Juan Banda (Stanford University, USA) Roman Barták (Charles University, Czech Republic) Christoph Beierle (University of Hagen, Germany) Eric Bell (Pacific Northwest National Laboratory, USA) Ateet Bhalla Independent Consultant, India) David Bisant (Central Security Service, USA) Richard Burns (West Chester University, USA) Ricardo Calix (Purdue University Calumet, USA) Nicoletta Calzolari (Istituto di Linguistica Computazionale - CNR, Italy) Chayan Chakrabarti (University of New Mexico, USA) Maher Chaouachi (University of Montreal, Canada) Soon Ae Chun (City University of New York, USA) Vincent Cicirello (Richard Stockton College, USA) Mark Core (University of Southern California, USA) Andrea Corradini (Designskole Kolding, Denmark) Sarah Jane Delany (Dublin Institute of Technology, Ireland) Love Ekenberg (IIASA, Austria) Michael Floyd (Knexus Research, USA) Tzu-Keng Fu (University of West Bohemia, Czech Republic) Vera Goodacre (George Mason University, USA)

Rachel Green (Onyx Point, Inc., USA) Hyoil Han (Marshall University, USA) Larry Holder (Washington State University, USA) Manfred Huber (University of Texas at Arlington, USA) Imène Jraidi (University of Montreal, Canada) Joseph Kendall-Morwick (Capital University, USA) Fazel Keshtkar (Southeast Missouri State University, USA) Leila Kosseim (Concordia University, USA) Luc Lamontagne (Laval University, Canada) Ramoni Lasisi (Virginia Military Institute, USA) Florence Le Priol (Paris-Sorbonne University, France) Maikel Leon Espinosa (University of Miami, USA) Xiaofei Lu (The Pennsylvania State University, USA) Jeremy Ludwig (Stottler Henke Associates, Inc., USA) Cristina Manfredotti (AgroParisTech & I.N.R.A., France) Takunari Miyazaki (Trinity College, USA) Malek Mouhoub (University of Regina, Canada) Chas Murray (Carnegie Learning, Inc., USA) Eric Neufeld (University of Saskatchewan, USA) Nobal B. Niraula (University of Memphis, USA) Michael O’Mahony (University College Dublin, Ireland) Santiago Ontañón (Drexel University, USA) Laurent Perrussel (IRIT - Universite de Toulouse, France)

4

Max Petrenko (NTENT, Texas A&M University, USA) Wuillemin Pierre-Henri (Laboratoire d’Informatique de Paris 6, France) Niels Pinkwart (Humboldt Universität zu Berlin, Germany) Roberto Santana (University of the Basque Country, Spain) Eugene Santos (Dartmouth College, USA) Stephan Schulz (DHBW Stuttgart, Germany) Khaled Shaalan (The British University in Dubai, UAE) Guillermo Simari (Universidad Nacional del Sur in Bahia Blanca, Argentina) Geoff Sutcliffe (University of Miami, USA) Antonio A. Sánchez-Ruiz (Complutense University of Madrid, Spain) Choh Man Teng (Institute for Human and Machine Cognition, USA) Rosina Weber (Drexel iSchool, USA)

David Wilson (University of North Carolina at Charlotte, USA) Yang Xiang (University of Guelph, Canada) Slawomir Zadrozny (Systems Research Institute, Polish Academy of Sciences, Poland) Additional Reviewers Ben Hamadou (Sfax University, Tunisia) Damien Jade (Istanbul Technical University, Turkey) Mihai Lintean (Carney Labs, USA) Nabin Maharjan (University of Memphis, USA) Abidalrahman Moh'D (Dalhousie University, Canada) Víctor Rodríguez (Universidad Autonoma de Madrid, Spain) Axel Soto (Dalhousie University, Canada)

FLAIRS-30 Special Track Program Committees

AI and Cyber Security Track Chairs Li Li (Cylance Inc, USA) Om Patri (University of Southern California, USA) Laurent Nana (University of Bretagne Occidentale, France) Soon Ae Chun (CUNY, USA) David Bisant (Central Security Service, USA) Program Committee Adel Alti (University of Setif, Algeria) Ismaïl Biskri (Université du Québec à Trois-Rivières, Canada) Musab Ghadi (University of Bretagne Occidentale in Brest, France) Anca Pascu (Université de Bretagne Occidentale, France) Elva Jones (Winston-Salem State University, USA) Muath Alshaikh (UBO, France) Chutima Boonthum-Denecke (Hampton University, USA) Caroline Fontaine (CNRS - Telecom Bretagne, France) Rebecca Caldwell (Winston-Salem State University, USA) Thorna Humphries (Norfolk State University, USA) William Puech (LIRMM - CNRS, France) Wail Mardini (Jordan University of Science and Technology) Salah Zidi (CBE, Aruba) Yen-Hung Hu (Norfolk State University, USA) Morad Benyoucef (University of Ottawa, Canada) Nora Cuppens (Telecom Bretagne, France) Frédéric Cuppens (TELECOM Bretagne, France) Saad Harous (UAE University, UAE) Ghazi Al-Naymat (University of Dammam, Saudi Arabia) Tarek Moulahi (ENIS, University of Sfax, Tunisia) Matt Wolff (Cylance Inc, USA) Ricardo Calix (Purdue University Calumet, USA) Steven Jilcott (Systems and Technology Research, USA) Michael Wojnowicz (Cylance Inc, USA) Lamri Laouamer (Qassim University, Saudi Arabia)

5

AI in Games, Serious Games, and Multimedia Track Chairs Cédric Buche (LAB-STICC - ENIB, France) D. Michael Franklin (Kennesaw State University, USA) Program Committee Carole Adam (Université Grenoble-Alpes, France) Fred Charles (Bournemouth, UK) Antonio J. Fernandez-Leiva (Universidad de Málaga, Spain) Joao Ferreira (Teesside University, UK) Humbert Fiorino (Université Grenoble-Alpes, France) Domitile Lourdeaux (Heudiasyc UMR 7253, UTC, France) Antonio Mora (University of Granada, Spain) Mihai Polceanu (Florida International University, USA) Dorin-Mircea Popovici (Ovidius University of Constanta, Romania) AI in Healthcare Informatics Track Chairs Doug Talbert (Tennessee Tech University, USA) Steve Talbert (University of Central Florida, USA) Program Committee Jiang Bian (University of Florida, USA) Lewis Frey (Medical University of South Carolina, USA) Jerry Gannod (Tennessee Tech University, USA) Manfred Huber (University of Texas at Arlington, USA) Mei Liu (University of Kansas Medical Center, USA) Colin Walsh (Vanderbilt University Medical Center, USA) Applications of Artificial Intelligence in Business and Industry Track Chairs Chayan Chakrabarti, GE, USA Rachel Green, Independent Researcher, USA Program Committee Chayan Chakrabarti, GE, USA Rachel Green, Independent Researcher, USA George F. Luger, University of New Mexico, USA Thomas B. Jones, University of New Mexico, USA Saurabh Thapliyal, GE, USA Ali Fakeri Tabrizi, Nominum, USA Jiangbo Yuan, Vip.com, USA Mustafa Sinan Cetin, Intel, USA Jason Gauci, Facebook, USA Nikhil Gulati, GE, USA Arun Subramanian, GE Research, USA

6

Applied Natural Language Processing Track Chairs Fazel Keshtkar (Southeast Missouri State University, USA) Chutima Boonthum-Denecke (Hampton University, USA) Program Committee Eric Bell (Pacific Northwest National Laboratory, USA) Chutima Boonthum (Hampton University, USA) Nicoletta Calzolari (Istituto di Linguistica Computazionale, Italy) Asif Ekbal (Indian Institute of Technology Patna, India) Diana Inkpen (University of Ottawa, Canada) Fazel Keshtkar (ST JOHN'S University, USA) Xiaofei Lu (Pennsylvania State University, USA) Nobal Niraula (University of Memphis, USA) Constantin Orasan (University of Wolverhampton, UK) Michael Wiegand (Saarland University, Germany) Soon Ae Chun (City University of New York, USA) Fatiha Sadat (UQAM, Canada) Aminul Islam (Dal House University, Canada) Rajendra Banjade (University of Memphis, USA) Rebeca Cerezo (University of Oviedo, Spain) Additional Reviewers Adekunle Adepegba (University of Ottawa, Canada) Mostafa Fallah (University of Ottawa, Canada) Artificial Intelligence for Big Social Data Analysis Track Chairs Viviana Patti (University of Turin, Italy) Erik Cambria (Nanyang Technological University, Singapore) Eric Bell (Pacific Northwest National Laboratory, USA) Nathan Hodas (Pacific Northwest National Laboratory, USA) Program Committee Courtney Corley (Pacific Northwest National Laboratory, USA) Paolo Rosso (Technical University of Valencia, Spain) Federica Bisio (aizoOn Technology Consulting, Italy) Rossana Damiano (University of Turin, Italy) Amitava Das ( Indian Institute of Information Technology, Sri City, India) Dipankar Das (Jadavpur University, India) Carlos A. Iglesias (Technical University of Madrid) Björn Schuller (University of Passau / Imperial College London, Germany/UK) Xiaoran Yan (Indiana University, USA) Sandip Sarkar (Jadavpur University, India)

Additional Reviewers Jesús Alonso (Technical University of Valencia, Spain) Maite Giménez (Technical University of Valencia, Spain) Autonomous Robots and Agents Track Chairs Roman Barták (Charles University, Czech Republic) David Obdržálek (Charles University, Czech Republic)

7

Program Committee Dimitris Alimisis (European Lab for Educational Technology - EDUMOTIVA, Greece) Richard Balogh (Slovak University of Technology in Bratislava, Slovakia) Jean-Daniel Dessimoz (West Switzerland University of Applied Sciences, Switzerland) Patrick Doherty (Linkoping University, Sweden) Sven Koenig (University of Southern California, USA) Miroslav Kulich (Czech Technical University, Czech Republic) Daniele Magazzeni (King's College London, UK) Suruz Miah (Bradley University, USA) Andrea Orlandini (ISTC-CNR, Italy) Christopher Reardon (US Army Research Lab, USA) Mark Roberts (Naval Research Laboratory, USA) Martin Saska (Czech Technical University, Czech Republic) Marius Silaghi (Florida Institute of Technology, USA) Ubbo Visser (University of Miami, USA) Case-Based Reasoning Track Chairs Alexandra Coman (NRC/NRL, USA) Joseph Kendall-Morwick (University of Central Missouri, USA) Program Committee Ralph Bergmann (University of Trier, Germany) Joe Blass (Northwestern University, USA) Sarah Jane Delany (Dublin Institute of Technology, Ireland) Michael Floyd (Knexus Research Corporation, USA) Mehmet Göker (Salesforce.com, USA) Pedro González Calero (Complutense University of Madrid, Spain) Vahid Jalali (Indiana University, USA) David Leake (Indiana University, USA) Stefania Montani (University of Eastern Piedmont, Italy) Santiago Ontañón (Drexel University, USA) Rosina Weber (Drexel University, USA) David Wilson (University of North Carolina at Charlotte, USA) Data Mining Track Chairs David Bisant (Central Security Svcs., USA) William Eberle (Tennessee Technological University, USA) Program Committee Rafal Angryk (Georgia State University, USA) Martin Atzmueller (University of Kassel, Germany) Juan Banda (Stanford University, USA) Emre Celebi (University of Central Arkansas, USA) Diane Cook (Washington State University, USA) Serge Dolenko (D.V.Skobeltsyn Nuclear Physics Institute, Russian Federation) Olac Fuentes (University of Texas at El Paso, USA) Jesus Gonzalez (NIAOE, Mexico) Steven Gutstein (Army Research Laboratory, USA) Hyoil Han (Illinois State University, USA) Mike James (Infomax Group, United Kingdom)

8

Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) SeungJin Lim (Merrimack College, USA) Eduardo Morales (NIAOE, Mexico) Jeff Pittges (Radford University, USA) Roberto Santana (University of Basque Country, Spain) Douglas Talbert (Tennessee Technological University, USA) Mohammad Tayebnejad (Verizon Business Solutions, USA) Slawomir Zadrozny (Polish Academy of Sciences, Poland) Additional Reviewers Lenin Mookiah (Tennessee Tech University, USA) EAST: lEArning from HeterogeneouS Data AnalyTics Track Chairs Juan Antonio Lossio-Ventura (University of Florida, USA) Mathieu Roche (TETIS, France) Maguelonne Teisseire (TETIS, France) Program Committee Hugo Alatrista-Salas (Universidad del Pacífico, Peru) Riza Batista-Navarro (University of Manchester, United Kingdom) Jiang Bian (University of Florida, USA) Mohamed R. Bouadjenek (University of Melbourne, Australia) Martín Ariel Domínguez (Universidad Nacional de Córdoba, Australia) Byung Lee (University of Vermont, USA) NhatHai Phan (New Jersey Institute of Technology, Australia) Alípio Jorge (University of Porto, Portugal) François Modave (College of Medicine, University of Florida, USA) Jordi Nin (BBVA Data & Analytics and Universidad de Barcelona, Spain) Miguel Nuñez-del-Prado Cortéz (Universidad del Pacífico, Peru) José Ochoa-Luna (Universidad Católica San Pablo, Peru) Jing Peng (Montclair State University, USA) Pascal Poncelet (LIRMM - University of Montpellier, France) Selja Seppälä (College of Medicine, University of Florida, USA) Yang Yang (Northwestern University, USA) Manel Zarrouk (INSIGHT - NUI Galway, Ireland) Intelligent Learning Technologies Track Chairs Benjamin Nye (University of Southern California, USA) Stephen Fancsali (Carnegie Learning, Inc., USA) Program Committee Mark Core (University of Southern California, USA) Keith Brawner (United States Army Research Lab, USA) Ryan Baker (University of Pennsylvania, USA) Satabdi Basu (Vanderbilt University, USA) Paul Brna (University of Leeds, UK) Scoty Craig (Arizona State University, Polytechnic, USA) Toby Dragon (Ithaca College, USA) Reva Freedman (Northern Illinois University, USA) H Chad Lane (University of Illinois, Urbana-Champaign, USA) Tanja Mitrovic (Intelligent Computer Tutoring Group, University of Canterbury, Christchurch, NZ)

9

Niels Pinkwart (Humboldt-Universität zu Berlin, Germany) Fritz Ray (Eduworks Corporation, USA) Steve Ritter (Carnegie Learning, Inc., USA) Jon Rowe (North Carolina State University, USA) Robert Sottilare (US Army Research Laboratory, USA) Intelligent Support for Decision Making Track Chairs Marius Silaghi (Florida Tech, USA) Markus Zanker (University of Bolzano, Italy) Program Committee Khalid Alhamed (Ryad Institute of Public Administration, Saudi Arabia) Abdulrahman Alqahtani (Najran University, Saudi Arabia) Phil Chan (Florida Tech, USA) Berthe Choueiry (University Nebraska Lincoln, USA) Joerg Denzinger (University Calgary, Canada) Prashant Doshi (University of Georgia, USA) Boi Faltings (Swiss Federal Institute of Technology, Switzerland) Roman Filipovych (Microsoft, USA) Dietmar Jannach (TU-Dortmund, Germany) Rene Mandiau (University of Valenciennes, France) Toshihiro Matsui (Nagoya Institute of Technology, Japan) Roussi Roussev (Splunk, USA) Julien Savaux (University of Valenciennes, France) Alexandre Lucas Stephane (Florida Tech, USA) Markus Silaghi (Florida Tech, USA) Markus Zanker (University of Bolzano, Italy) Natural Language Processing of Ancient and Other Low-Resource Languages Track Chairs Yudong Liu (Western Washington University, USA) John Lee (City University of Hong Kong, Hongkong, China) James Hearne (Western Washington University, USA) Program Committee Marco Büchler (the Gottingen Centre for Digital Humanities, Germany) Patrick J. Burns (New York University, USA) Giuseppe G. A. Celano (Leipzig University, Germany) Kais Haddar (University of Sfax, Tunisia) Ben Hamadou Abdelmajid (University of Sfax, Tunisia) Dag Haug (University of Oslo, Norway) Jen-jou Hung (Dharma Drum Institute of Liberal Arts, Taiwan, R.O.C.) Bin Li (Nanjing Normal University, China) Emerson Paraiso (PUCPR - Pontificia Universidade Catolica do Parana, Brazil) Alexis Palmer (University of North Texas, USA) Marco Passarotti (Catholic University of the Sacred Heart, Italy) Khaled Shaalan (The British University in Dubai, Cairo University, Egypt) Patrick Schmitz (University of California, Berkeley, USA) Donald Sturgeon (Harvard University, USA) Amir Zeldes (Georgetown University, USA)

10

Non-Classical Logic Track Chairs Jean-Yves Beziau (Federal University of Rio da Janeiro and Brazilian Research Council, Brazil) Program Committee Arnon Avron (Tel Aviv University, Israel) Davide Ciucci (University of Milan, Italy) Didier Dubois (IRIT Toulouse, France) Brian Gaines (University of Victoria, Canada) Bora Kumova (Izmir Institute of Technology, Turkey) Dominique Luzeaux (Polytechnique and Ministry of Defense, France) Eric Martin (University of New South Wales, Australia) Raja Natarajan (Tata Institute of Fundamental Research, India) Sergei Odintsov (Sobolev Institute of Mathematics, Russia) Mauricio Osorio (University of the Americas, Mexico) Serge Robert (University of Quebec at Montreal, Canada) Petros Stefaneas (National Technical University, Greece) Ivan Varcinczak (Federal University of Rio de Janeiro, Brazil) Recommender Systems Track Chairs Carlos E. Seminario, University of North Carolina at Charlotte, USA Nadia Najjar, University of North Carolina at Charlotte, USA Yong Zheng, Illinois Institute of Technology, USA Program Committee Konstantin Bauman, New York University, USA Alejandro Bellogin, Universidad Autonoma de Madrid, Spain Robin Burke, DePaul University, USA Toon De-Pessemier, Ghent University, Belgium Simon Dooms, Trackuity, Belgium Michael Ekstrand, Boise State University, USA Jonathan Gemmell, DePaul University, USA Guibing Guo, Northeastern University, China Neil Hurley, University College Dublin, Ireland Bart Knijnenburg, Clemson University, USA Neal Lathia, Skyscanner, UK Aonghus Lawlor, University College Dublin, Ireland Takashi Okumura, National Institute of Public Health, Japan Lara Quijano-Sánchez, Complutense University of Madrid (UCM), Spain Alan Said, University of Skövde, Sweden Laura Sebastiá, The Technical University of Valencia, Spain Barry Smyth, University College Dublin, Ireland Fatemeh Vahedian, DePaul University, USA Chad Williams, Central Connecticut State University, USA David Wilson, University of North Carolina at Charlotte, USA Qi Zhao, Google, Inc., USA Semantic, Logics, Information Extraction and AI Track Chairs Ismail Biskri (Université du Québec à Trois-Rivières, Canada) Anca Pascu (Université de Brest, France) Rim Faiz (University of Carthage, Tunisia)

11

Vladislav Kubon (Charles University, Czech Republic) Juan Manuel Torres Moreno (Université d’Avignon, France) Program Committee Iana Anatassova (Université de Franche-Comté, France) Marc Bertin (Université du Québec à Montréal, Canada) Ismail Biskri (Université du Québec à Trois-Rivières, Canada) Eva Hajiova (Charles University, Czech Republic) Adel Jebali (Concordia University, Canada) Christophe Jouis (Universite Pierre et Marie Curie, France) Vladislav Kubon (Charles University, Czech Republic) Florence Lepriol (Université de Paris-Sorbonne, France) Anca Pascu (Université de Brest, France) Éric Poirier (Université du Québec à Trois-Rivières, Canada) Additional Reviewers Boucif Amar Bensaber (Université du Québec à Trois-Rivières, Canada) Louis Rompré (Université du Québec à Trois-Rivières, Canada) Vasile Rus (University of Memphis, USA) Uncertain Reasoning Track Chairs Leopoldo Bertossi (Carleton University, Canada) Karim Tabia (University of Artois, France) Program Committee Mohand Saïd Allili (Université du Québec en Outaouais - UQO, Canada) Xiangdong An (York University, Canada) Alessandro Antonucci Dalle Molle (Institute for Artificial Intelligence - IDSIA, Switzerland) Ofer Arieli (The Academic College of Tel-Aviv, Israel) Pablo Barceló (Universidad de Chile, Chile) Christoph Beierle (University of Hagen, Germany) Salem Benferhat Artois (University, France) Alexander Dekhtyar (California Polytechnic State University, USA) Sébastien Destercke (CNRS-Heudiasyc, France) Love Ekenberg (Stockholm University, Sweden) Lluis Godo IIIA (Spanish National Research Council, Spain) Christophe Gonzales (University of Paris 6, France) Gabriele Kern-Isberner (Technical University of Dortmund, Germany) Benny Kimelfeld Technion (Israel Institute of Technology, Israel) Evelina Lamma (Università degli Studi di Ferrara, Italy) Philippe Leray (Nantes University, France) Thomas Lukasiewicz (University of Oxford, United Kingdom) Nicholas Mattei (IBM Research, TJ Watson Research Center, NY, USA) Robert Mercer (The University of Western Ontario, Canada) Farid Nouioua (University of Aix-Marseille, France) Odile Papini (University of Aix-Marseille, France) Rafael Peñaloza (Free University of Bozen-Bolzano, Italy) Henri Prade (Institut de Recherche en Informatique de Toulouse, France) Andrea Pugliese (University of Calabria, Italy) Babak Salimi (University of Washington, USA) Steven Schockaert (Cardiff University, United Kingdom) Matthias Thimm (University of Koblenz, Germany) Guy Van Den Broeck (University of California, Los Angeles, USA)

12

Conference Invited Speakers

Monday, May 22, 9:00am – 10:00 am Thomas G. Dietterich Oregon State University Robust Artificial Intelligence: Why and How Abstract: Artificial intelligence (AI) technologies are being employed in a wide range of applications. Some of these involve high risks to human lives or to the economy. As a field, we need to develop algorithms and methodologies for ensuring the safe behavior of AI systems. This talk will describe some methods for guaranteeing safe behavior. I will consider both the "known unknowns" setting, where we have an explicit model of our uncertainty, and the "unknown unknowns" setting, where our model is incomplete or misspecified. Examples will be drawn from recent work on risk-sensitive planning for ecosystem management and anomaly detection for machine learning in open worlds. Biographical Sketch: Dr. Thomas G. Dietterich is Distinguished Professor (Emeritus) of Computer Science at Oregon State University and Chief Scientist of BigML, a machine learning startup company. As one of the founders of the field of machine learning, Dietterich has published more than 130 scientific papers. Dietterich's research seeks methods for enabling AI systems to robustly deal with "unknown unknowns". He also leads projects in applying AI to biological conservation, management of invasive species, and policies for controlling wildfire. He is applying machine learning methods to automatically detect errors in big data applications including weather data collected by the Trans-Africa Hydrometeorological Observatory (TAHMO), which is a sustainable development project throughout sub-Saharan Africa. Dietterich is a Fellow of the Association for the Advancement of Science, the Association for Computing Machinery, and the Association for the Advancement of Artificial Intelligence. He serves as Past President of the Association for the Advancement of Artificial Intelligence, founding President of the International Machine Learning Society, and former Executive Editor of the journal Machine Learning.

13

Tuesday, May 23, 9:00am – 10:00 am Jiawei Han Abel Bliss Professor, Department of Computer Science, University of Illinois at Urbana-Champaign Mining Structures from Massive Text Data: A Data-Driven Approach Abstract: The real-world big data are largely unstructured, interconnected, and in the form of natural language text. One of the grand challenges is to turn such massive data into structured networks and actionable knowledge. We propose a text mining approach that requires only distant supervision or minimal supervision but relies on massive data. We show quality phrases can be mined from such massive text data, types can be extracted from massive text data with distant supervision, and relationships among entities can be discovered by meta-path guided network embedding. Finally, we propose a D2N2K (i.e., data-to-network-to-knowledge) paradigm, that is, first turn data into relatively structured information networks, and then mine such text-rich and structure-rich networks to generate useful knowledge. We show such a paradigm represents a promising direction at turning massive text data into structured networks and useful knowledge. Biographical Sketch: Jiawei Han is Abel Bliss Professor in the Department of Computer Science, University of Illinois at Urbana-Champaign. He has been researching into data mining, information network analysis, database systems, and data warehousing, with over 600 journal and conference publications. He has chaired or served on many program committees of international conferences, including PC co-chair for KDD, SDM, and ICDM conferences, and Americas Coordinator for VLDB conferences. He also served as the founding Editor-In-Chief of ACM Transactions on Knowledge Discovery from Data and the Director of Information Network Academic Research Center supported by U.S. Army Research Lab, and is the co-Director of KnowEnG, an NIH funded Center of Excellence in Big Data Computing. He is a Fellow of ACM and Fellow of IEEE, and received 2004 ACM SIGKDD Innovations Award, 2005 IEEE Computer Society Technical Achievement Award, 2009 M. Wallace McDowell Award from IEEE Computer Society. His co-authored book "Data Mining: Concepts and Techniques" has been adopted as a textbook popularly worldwide.

14

Wednesday, May 24, 9:00am – 10:00 am James Allen Florida Institute of Human and Machine Cognition (IHMC), and the University of Rochester Towards Broad-Coverage Deep Language Understanding Abstract: Humans readily understand language in across shifting topics, domains and tasks, and effortlessly identify the intended interpretations underlying language as appropriate to their current task and conversational state. One of the key assumptions of early work in NLU was that language understanding would be understand and facilitated in terms of the participating agent’s cognitive states. With the arrival of corpus-based, statistical, machine-learning approaches that have led to great advances in robust language processing, such goals were lost. A key reason is that there were no corpora that could encode language at the appropriate level, and this remains true today. In the past decade there have been a number of efforts to develop deeper language understanding using corpus-based methods, but these are inevitably grounded a very narrow specific task (like data queries) or specific domains (like instructing a robot). Models developed for such domain-specific tasks have proven to be not useful in transferring to new domains and tasks. So we still remain in our infancy on developing general purpose, domain independent, deep language understanding technology that can be applied across any domain — i.e., language grounded to an agent’s cognitive state and usable across any domain, even in learning about new tasks and new domains. I will describe our recent work towards achieving these goals. Specifically, I’ll describe the TRIPS parser, a broad-coverage domain-general deep semantic parser that produces logical forms grounded in a general ontology. The TRIPS parser performs adequately in many diverse domains, incorporating domain-specific named entity recognition where needed. The TRIPS grammar uses syntactic, semantic and ontological constraints simultaneously to construct a semantically accurate parse, and includes many rules that capture the common constructions of everyday spoken language. Biographical Sketch: Dr. James Allen is Associate Director and a Senior Researcher at the Institute for Human and Machine Cognition in Pensacola. He has had a very distinguished research and teaching career at the University of Rochester where he retains a 50% appointment as the John H. Dessauer Professor of Computer Science. He received his PhD in Computer Science from the University of Toronto and was a recipient of the Presidential Young Investigator award from NSF in 1984. Dr. Allen is an international leader in the areas of natural language understanding and collaborative human-machine interaction. A Founding Fellow of the American Association for Artificial Intelligence (AAAI), he was editor-in-chief of the journal Computational Linguistics from 1983-1993. He was general chair of the Second International conference on Principles of Knowledge Representation held in Boston in 1991, and the Fourth International Conference on AI Planning Systems in Pittsburgh in 1999.

15

Special Track Invited Talks

Monday, May 22, 1:00 pm – 1:40 pm David Traum, USC/ICT Special Track on Applied Natural Language Processing Title: Using Dialogue System Technology to Support Interactive History Learning Abstract: The talk will describe how natural language dialogue technology has been applied in several projects to learning history by engaging learners in conversation with systems that portray individuals with expertise in the area, either through study or having been witness to important events. In particular, the talk with focus on the New Dimensions in Testimony project at USC, which allows people to talk with recordings of holocaust survivors, and see and hear their video testimony in an immersive and interactive setting. Thousands of visitors have interacted with the first survivor, at the Illinois Holocaust Museum and Education Center, the National Holocaust Museum, and other locations, and several more survivors will be installed by the time of the talk. The talk will also touch on related projects at ICT and elsewhere, and touch on the strengths and weaknesses of the natural language classification and dialogue management technologies, and how they have been improved are refined for this kind of experience. Biographical Sketch: David Traum is the Director of Natural Language Research at the Institute for Creative Technologies (ICT) and a research faculty member of the Department of Computer Science at the University of Southern California (USC). He leads the Natural Language Dialogue Group at ICT. More information about the group can be found here: http://nld.ict.usc.edu/group/ Traum’s research focuses on Dialogue Communication between Human and Artificial Agents. He has engaged in theoretical, implementational and empirical approaches to the problem, studying human-human natural language and multi-modal dialogue, as well as building a number of dialogue systems to communicate with human users. Traum has authored over 200 refereed technical articles, is a founding editor of the Journal Dialogue and Discourse, has chaired and served on many conference program committees, and is a past President of SIGDIAL, the international special interest group in discourse and dialogue. Traum earned his Ph.D. in Computer Science at the University of Rochester in 1994.

16

Tuesday, May 23, 10:30 am – 11:10 am Guy Van den Broeck, University of California at Los Angeles Special Track on Uncertain Reasoning Title: Open-World Probabilistic Databases Abstract: Large-scale probabilistic knowledge bases are becoming increasingly important in academia and industry alike. They are constantly extended with new data, powered by modern information extraction tools that associate probabilities with database tuples. In this talk, we revisit the semantics underlying such systems. In particular, the closed-world assumption of probabilistic databases, that facts not in the database have probability zero, clearly conflicts with their everyday use. To fix this discrepancy, we propose an open-world probabilistic databases semantics, which relaxes the probability of open facts to intervals. While still assuming a finite domain, this semantics can provide meaningful answers when some probabilities are not precisely known. For this open-world setting, we propose an efficient evaluation algorithm for unions of conjunctive queries. Our open-world algorithm incurs no overhead compared to closed-world reasoning and runs in time linear in the database size for tractable queries. All other queries are #P-hard, implying a data complexity dichotomy between linear time and #P. Finally, we discuss limitations and additional knowledge-representation layers that can further strengthen open-world reasoning about big uncertain data. Biographical Sketch: Guy Van den Broeck is an Assistant Professor and Samueli Fellow in the Computer Science Department at the University of California, Los Angeles (UCLA). Guy’s research interests are in artificial intelligence, machine learning, logical and probabilistic automated reasoning, and statistical relational learning. He also studies applications of reasoning in other fields, such as probabilistic databases and programming languages. Guy’s work received best paper awards from key artificial intelligence venues such as UAI, ILP, and KR, and an outstanding paper honorable mention at AAAI. His doctoral thesis was awarded the ECCAI Dissertation Award for the best European dissertation in AI.

17

Tuesday, May 23, 1:30 pm – 2:10 pm Kyle Johnson, Accenture Special Track on Natural Language Processing of Ancient and Other Low-resourced Languages Title: Dead languages reborn in assembly: NLP for ancient traditions Abstract: This lecture introduces the purpose and methods of the Classical Language Toolkit (CLTK), a software project for doing natural language processing (NLP) for the languages of ancient, classical, and medieval Eurasia. By some measures, it is the most popular project of its kind (37 contributors, 149 stars, and 104 forks on GitHub). The project's members contribute to it because they believe that ancient languages and literatures deserve state-of-the-art AI. For example, though Classicists (specialists in Ancient Greek and Latin) were pioneers in what today is known as digital humanities, they have not kept pace with the rapidly maturing field of NLP. The CLTK is (a) a high quality open source software library in the Python language; (b) a distributed system for corpus sharing and scientific data set management; and (c) a community of scholars using, producing, and advising the direction of particular language resources. Two distinguishing features of the CLTK community are that it actively seeks partnerships with open source digital humanities projects, including those run by non-academic institutions (both for-profit companies and non-profits promoting particular linguistic/faith traditions). Another unique element of the CLTK is its interdependent reliance on student-developers: the program seeks to reward its contributors with good experience and, when possible, remuneration. This lecture will offer some examples of the software's API and illustration of some advanced NLP research that has been effected with it. Biographical Sketch: Kyle P. Johnson works as Principal Research Scientist in Accenture's AI Lab, where he specializes in automating business processes with NLP and ML. He is the founder of and an active contributor to the Classical Language Toolkit, a framework for doing NLP in pre-modern Eurasian languages. His formal education was in Classics (BA, Reed College; PhD, NYU), during which he focused on NLP, Julius Caesar, Homer, comics theory, and ethnopharmacology.

18

Monday, May 22, 4:30 pm – 5:10 pm David Aha, Navy Research Laboratory Special Track on Case-Based Reasoning Title: Case-Based Goal Reasoning Abstract: Goal reasoning (GR) concerns the study of intelligent agents that can continuously reason about their goals, which may lead to goal re-prioritization and self-selection. This topic is particularly important for embodied (e.g., unmanned vehicles) and unembodied agents (e.g., proactive decision aids) that operate in highly complex environments in which notable/surprising events can occur, and for which the agent lacks a complete mapping for what goal(s) it should pursue for all possible belief states that it can encounter. There are many ways in which these agents can benefit from the incorporation of case-based reasoning (CBR) techniques. I will describe some prior work on case-based GR and describe some additional roles for leveraging CBR in GR agents. Biographical Sketch: David W. Aha (UCI 1990) leads the Adaptive Systems Section within the USA's Naval Research Laboratory. His group conducts basic and applied research on intelligent agents, machine learning, case-based reasoning, and related topics; their current projects concern goal reasoning or deep learning. He has mentored 12 postdocs, served on 20 PhD committees, received the IAAI-17 Robert S. Engelmore Memorial Lecture Award, was a AAAI Councilor, cocreated the AAAI AI Video Competition, and created the UCI Repository for ML Databases. David has coorganized 30+ events (e.g., ICCBR-17, IJCAI-17 Workshop on XAI), serves on several PCs, and led or leads the evaluation teams for four DARPA or ONR Programs.

19

Reception and Awards Monday, May 22, 6:30pm – 9:00pm

Join us for dinner and presentations of the Best Paper, Best Student Paper, and Best Poster awards, and the Douglas D. Dankel II Award for service to the Florida Artificial Intelligence Research Society (FLAIRS). Nominees for Best Paper:

Session 7B: Artificial Intelligence for Big Social Data Analysis (Room: Ballroom C), Tuesday 10:30am Radical-Based Hierarchical Embeddings for Chinese Sentiment Analysis at Sentence Level Haiyun Peng, Erik Cambria and Xiaomei Zou Session 9A: Main Track – Machine Learning (Room: Ballroom B), Tuesday 3:30PM Learning Tree-Structured CP-nets with Local Search Thomas E. Allen, Cory Siler and Judy Goldsmith Session 8A: Natural Language Processing of Ancient and Other Low-resourced Languages (Room: Ballroom B), Tuesday 2:10PM Visual Exploration of Latin Derivational Morphology Chris Culy, Eleonora Litta and Marco Passarotti

Nominees for Best Student Paper:

Session 4A: Main Track – Machine Learning (Room: Ballroom B), Monday 3:00PM Robust Learning of Classification Models from Noisy Soft-Label Information Yanbing Xue and Milos Hauskrecht Session 3B: Semantic, Logics, Information Extraction and AI (Room: Ballroom C), Monday 1:00PM A logic for making hard decisions Roussi Roussev and Marius Silaghi Session 8D: Main Track - Optimization (Room: Heron), Tuesday 1:50PM Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad and Nikolay Laptev

Recipient of the Douglas D. Dankel II Award for service to the Florida Artificial Intelligence Research Society:

Frederick Hoffman (Florida Atlantic University, USA)

Frederick Hoffman was instrumental in organizing the early years of FLAIRS conferences. He was PC chair for FLAIRS-1 and several further FLAIRS. He was the panel chair for multiple FLAIRS, and on the program committee for many more. This award recognizes his significant contributions to the formation of FLAIRS, and building FLAIRS into a successful conference.

20

FLAIRS Business Meeting Wednesday, May 24, 11:45 am – 12:45 pm

The FLAIRS business meeting is a chance for the FLAIRS attendees to discuss this year’s conference as well as plans for future years. The organizers of FLAIRS-31, which will be held in May of 2018 in Melbourne Beach, Florida, will be introduced. Everyone is welcome to attend.

21

Day 1: Monday, May 22, 2017

Monday, May 22, 8:45am – 10:00am Session 1

FLAIRS-30 Welcome, 8:45am – 9:00am Ingrid Russell

Session 1A: Invited Talk (Room: Ballrooms B, C, D) Chair: Ingrid Russell 9:00am Thomas G. Dietterich Oregon State University

Robust Artificial Intelligence: Why and How

BREAK, 10:00am – 10:30am

Monday, May 22, 10:00am – 11:45AM (Posters will remain up until 1:00pm) Session 2 Session 2A: Posters (Room: Ballroom A & Foyer)

Short Paper Posters – Main Track 1. Tiered Coalition Formation Games

Cory Siler

2. Can Word Embeddings Help Find Latent Emotions in Text? Preliminary results. Armin Seyeditabari and Wlodek Zadrozny

3. Overlapping Coalition Formation in Multi-sensor Networks Ramoni Lasisi

4. Classifying with AdaBoost.M1: the training error threshold myth Lucelene Lopes, Paulo Fernandes, Antonio Leaes and Joaquim Assunção

5. Fuzzing and Verifying RAT Proofs with Deletion Information Walter Forkel, Tobias Philipp, Adrian Rebola Pardo and Elias Werner

6. Automatic Authorship Attribution of Noisy Documents Halim Sayoud, Salah Khennouf, Hocine Benzerroug, Zohra Hamadache, Hassina Hadjadj and Siham Ouamour

7. Rationale-based Visual Planning Monitors for Cognitive Systems Zohreh Alavi and Michael Cox

8. Complexity guided noise filtering in QA Repositories K.V.S Dileep, Swapnil Hingmire and Sutanu Chakraborti

22

Short Paper Posters – AI in Games, Serious Games, and Multimedia Track

9. Game-Based Learning about 19th Century Poets Matthew Fendt

10. Automated waypoint generation with the Growing Neural Gas algorithm

Brian Dellinger, Ronald Jenkins and Joshua Walton 11. Adapting First-Person Shooter Video Games for Playing with Virtual Reality Headsets Ilya Makarov, Oleg Konoplya, Pavel Polyakov, Maxim Martynov and Peter Zyuzin 12. Interactive Virtual Training (IVT) a serious game to help early career teachers with classroom management

Alban Delamarre, Cedric Buche, Stephanie Lunn, Guido Ruiz, Elisa Shernoff and Christine Lisetti

Short Paper Posters – AI and Cyber Security Track

13. On ROC Curve Analysis of Artificial Neural Network Classifiers Chulwoo Kim, Sung-Hyuk Cha, Yoo Jung An and Ned Wilson

Short Paper Posters – Recommender Systems Track

14. UBR: A Book Search–Recommender Hybrid Jason Hall and Maria Soledad Pera

15. Exploiting Reviews to Generate Personalized and Justified Recommendations to Guide Users' Selections Nevena Dragovic and Maria Soledad Pera

16. Recommender Response to Diversity and Popularity Bias in User Profiles Sushma Channamsetty and Michael D. Ekstrand

Short Paper Posters – Autonomous Robots and Agents Track

17. Towards Joint Human-Robotic Solutions to Surveillance Problems Christopher Reardon and Jonathan Fink

Short Paper Posters – Uncertain Reasoning Track

18. Towards an Understanding of What is Learned: Extracting Multi-Abstraction-Level Knowledge from Learning Agents Daan Apeldoorn and Gabriele Kern-Isberner

19. A Probabilistic Spatial-Temporal Model and its Application to Wind Prediction

Nazira Guerrero-Jezzini, Pablo H. Ibarguengoytia and Luis Enrique Sucar

20. Feature Relevance in Bayesian Network Classifiers and Application to Image Event Recognition Mohand Said Allili and Siham Bacha

23

Short Paper Posters – Applications of Artificial Intelligence in Business and Industry Track

21. Interaction Semantics vs. Interaction Syntax in Data Visualization & Exploration. Design, Implementation and Utilization of Meme Media Jun Fujima, Klaus Jantke, Oksana Arnold and Bernd Schmidt.

22. Forecasting demand with limited information using Gradient Tree Boosting Stephan Chang and Felipe Meneguzzi

23. A Tool for Visualizing and Exploring Relationships among Cancer-Related Patents

Matthew Whitehead and Daniel K. N. Johnson

Short Paper Posters – Case-Based Reasoning Track

24. Recent Themes in Case-Based Reasoning and Knowledge Discovery Isabelle Bichindaritz, Cindy Marling and Stefania Montani

25. Business Process Workflow Monitoring using Distributed CBR with GPU Computing

Ioannis Agorgianitis, Stelios Kapetanakis, Miltos Petridis and Andrew Fish

26. Cognitive Adaptive Learning, Classification, and Response for Communications Threats (CALCR): A Case-Based Reasoning Approach Elizabeth Whitaker, Ethan Trewhitt and David Rosenbluth

Short Paper Posters – Natural Language Processing of Ancient and other Low-Resource Languages Track 27. Supervised Word Sense Disambiguation for Venetan: a Proof-of-Concept Experiment

Costanza Conforti and Alexander Fraser 28. Dating Tablets in the Garshana Corpus

James Hearne and Yudong Liu Short Paper Posters – Applied Natural Language Processing Track

29. Can Natural Language Processing Help Identify the Author(s) of the Book of Isaiah? Reva Freedman

30. High Recall Text Classification for Public Health Systematic Review Paul McNamee, James Mayfield, Samantha Rowe, Alexander Rowe, Hannah Jackson and Megan Baker

31. How important is size? An Investigation of Corpus Size and Meaning in both Latent Semantic Analysis and Latent Dirichlet Allocation Scott Crossley, Mihai Dascalu and Danielle McNamara

Short Paper Posters – Machine Learning for Heterogeneous Data Track 32. Virtual Screening assisted by Siamese Neural Networks

Alan Santos and Duncan Ruiz

33. Discovering Language Independent Latent Aspect Clusters from Code-mixed Social Media Text Kavita Asnani and Jyoti Pawar

24

Short Paper Posters – Data Mining Track 34. Anomalies in Students Enrollment using Visualization

Nishith Thakkar, Lenin Mookiah, Doug Talbert and William Eberle

Short Paper Posters – Artificial Intelligence for Big Social Data Analysis Track 35. “Hang in there”: Lexical and visual analysis to identify posts warranting empathetic responses

Mimansa Jaiswal, Sairam Tabibu and Erik Cambria

25

Poster Abstracts Only

36. Cuckoo Search via Lévy Flight Applied to Optimal Water Supply System Design

Ricardo Soto, Broderick Crawford, Rodrigo Olivares, Pia Escarate and Steve Calderón

37. Solving the Manufacturing Cell Design Problem using Artificial Bee Colony with Adaptive Population Ricardo Soto, Broderick Crawford, Leandro Vásquez, Roberto Zulantay, Ana Jaime, Maykol Ramirez and Boris Almonacid

38. Intelligent Unmanned Aerial Vehicle for City Flooding Monitoring Zoe Zhu, Albert Jiang, Jizhou Lai, Yang. Xiang, Benjamin Baird, Edward McBean

39. The Effect of Distance and Ambient Lighting on the Accuracy of a Machine Classifier to Detect Learner Smiles Tommy Goris and Robert Sottilare

40. How to Detect the Students’ at Risk in Online Learning Platforms Fazel Keshtkar

41. Q-Table compression for reinforcement learning Leonardo Rosa Amado and Felipe Meneguzzi

42. Closed-loop Detection and Mitigation of Mind Wandering during Learning from Text Sidney D'Mello, Caitlin Mills, Nigel Bosch and Robert Bixler

43. Evaluation and Application of Utility-based Approach to Privacy in Distributed Constrained Problems Julien Savaux, Julien Vion, Sylvain Piechowiak, Rene Mandiau, Toshihiro Matsui, Katsutoshi Hirayama, Makoto Yokoo, Shakre Elmane and Marius Silaghi

44. Automatic Detection and Monitoring of Radicalization Processes in Social Networks

Daniel López-Sánchez, Jorge Revuelta Herrero and Juan M. Corchado

45. Multi-Robot Navigation with Limited Communication Md Suruz Miah and Fazel Keshtkar

46. Using Universal Dependencies for Advanced Sentiment Analysis Kateřina Veselovská

47. Understanding The Expressive Functions of Jingju Music Rhytmic Types Through Lyrics Text Mining Shuo Zhang, Rafael Caro Repetto and Xavier Serra

48. A Supervised Classification Approach to Predicting Knee Pain Improvement in Osteoarthritis Patients Deya Banisakher, Naphtali Rishe, Mark Finlayson and Ivanka Marinovic

49. Decentralized Decision Making in Dynamic Groups for Distributed Free and Open-Source Updating Elmane Shakre, Badria Alfurhood, Timothy Atkinson, Khalid Alhamed, Julien Savaux, Rene Mandiau, Sylvain Piechowiak and Marius Silaghi

50. DTLBO : A Diversified Optimization Algorithm for Uncertain and Deceptive Environment Atm Golam Bari and Alessio Gaspar

26

51. Human-computer interaction in a debate decision support system Abdulrahman Alqahtani and Marius Silaghi

52. Hexagon of Intelligence Jean-Yves Beziau

53. Visual Localization of a Flying Drone Roman Barták, Lukáš Jelínek, Jiří Harasim and Jindřich Vodrážka

54. eSense: A Dual-Layered Dynamic SARSA-Lambda approach to Echolocation and Electrolocation D. Michael Franklin and Derek Martin

55. A dynamic task allocation mechanism for flooding disaster scenarios Tulio Lima Basegio and Rafael H. Bordini

56. Topic Modeling to Detect Student Expressions of Understanding in Collaborative Problem-Solving Dialogues Angelica Willis, Ashana Evans, Jung Hee Kim, Kelvin Bryant and Michael Glass

57. Distributed Trust for Intrusion Detection Timothy Atkinson and Marius Silaghi

58. Application of Argumentation Logic for Decision on Bug Handling Roussi Roussev and Marius Silaghi

59. Acoustic Analysis of Read Speech for Detection and Monitoring of ALS Archna Bhatia, Kristy Hollingshead, Bonnie J. Dorr, Ian Perera, Barbara McKenzie and Samuel L. Phillips

60. Group Decision Making Mechanisms and Evaluation Badria Alfurhood and Marius Silaghi

27

LUNCH, 11:45am – 1:00pm

Monday, May 22, 1:00pm – 2:40pm Session 3 Session 3A: Data Mining (Room: Ballroom B) Chair: William Eberle 1:00 pm RIPML: A Restricted Isometry Property based Approach to Multilabel Learning

Akshay Soni and Yashar Mehdad.

1:20 pm Outlier Processing via L1-Principal subspaces Shubham Chamadia and Dimitirs A. Pados.

1:40 pm Evaluating Preprocessing Strategies for Time Series Prediction using Deep Learning Architectures Jens Sajitha Naduvil-Vadukootu, Rafal A. Angryk and Pete Riley.

2:00 pm Emruli, Tomas Olsson and Anders Holst. pyISC: A Bayesian Anomaly Detection Framework for Python Blerim Emruli, Tomas Olsson and Anders Holst.

2:20 pm A Region-based Retrieval System for Heliophysics Imagery Michael Schuh and Rafal Angryk

Session 3B: Semantic, Logics, Information Extraction and AI Chair: Ismail Biskri (Room: Ballroom C) 1:00 pm A logic for making hard decisions

Roussi Roussev and Marius Silaghi

1:20 pm Reasoning with Temporal Preferences over Data Streams Marcos Roberto Ribeiro, Maria Camila N. Barioni, Sandra de Amo, Claudia Roncancio and Cyril Labbé

1:40 pm Worldwide Scholarships Spreading Jean-Rémi Bourguet

2:00 pm Identifying Underlying Commonsense Knowledge in Definitions Jansen Orfan and James Allen

2:20 pm Modelling with Events from Policy Descriptions Nandan Parameswaran and Pani Chakrapani

Session 3C: Applied Natural Language Processing (Room: Ballroom D) Chair: Fazel Keshtkar 1:00 pm Special Track Invited Talk: Using Dialogue System Technology to Support Interactive History

Learning David R. Traum

28

1:40 pm Learning Slowly To Learn Better: Curriculum Learning for Legal Ontology Population Cristian Cardellino, Milagro Teruel, Laura Alonso Alemany and Serena Villata

2:00 pm Sarcasm Detection using Sentiment Flow Shifts Elena Filatova

2:20 pm #SarcasmDetection is soooo general! Towards a Domain-Independent Approach for Detecting Sarcasm Natalie Parde and Rodney Nielsen.

Session 3D: Artificial Intelligence for Big Social Data Analysis Chair: Ceyda Sanli (Room: Heron)

1:00 pm Deep Neural Network Architecture for Character-Level Learning on Short Text Joseph Prusa and Taghi Khoshgoftaar

1:20 pm Fuzzy Spectral Hierarchical Communities in Evolving Political Contribution Networks Scott Wahl and John Sheppard

1:40 pm Language as a Measure of Welfare Priya Saha, Diogo Pacheco and Ronaldo Menezes

2:00 pm Towards a framework to assess social disorganization in neighborhoods using social media: a case study on football supporters in the United Kingdom Diogo Pacheco, Marcos Oliveira and Ronaldo Menezes

2:20 pm ViewpointS: When Social Ranking Meets the Semantic Web Philippe Lemoisson, Guillaume Surroca, Clement Jonquet and Stefano A. Cerri

BREAK, 2:40pm – 3:00pm

Monday, May 22, 3:00pm – 4:20pm Session 4 Session 4A: Main Track – Machine Learning (Room: Ballroom B) Chair: Chris Reardon 3:00 pm Robust Learning of Classification Models from Noisy Soft-Label Information Yanbing Xue and Milos Hauskrecht 3:20 pm Using Deep Learning to Automate Feature Modeling in Learning by Observation Michael Floyd, Jt Turner and David Aha 3:40 pm Group-Based Active Learning of Classification Models

Zhipeng Luo and Milos Hauskrecht

4:00 pm Real-time Imitation Learning of Visual Behavior by a Mobile Robot Gabriel Ferrer and Eric Huynh

29

Session 4B: Main Track - Reasoning (Room: Ballroom C) Chair: Geoff Sutcliffe 3:00 pm Automated Reasoning for the Dialetheic Logic RM3 Francis Jeffry Pelletier, Geoff Sutcliffe and Allen Hazen

3:20 pm Semantic Web and Ignorance: Dempster-Shafer Description Logics Loukia Karanikola and Isambo Karali

3:40 pm Belief Revision with Bridging Axioms Özgür Lütfü Özcep

4:00 pm A Method for Automating Token Causal Explanation and Discovery Min Zheng and Samantha Kleinberg

Session 4C: Recommender Systems (Room: Ballroom D) Chair: Carlos Seminario 3:00 pm Recommending from Experience

Francisco Peña and Derek Bridge

3:20 pm Sturgeon and the Cool Kids: Problems with Random Decoys for Top-N Recommender Evaluation Michael Ekstrand and Vaibhav Mahant

3:40 pm Investigating Personalized Search in E-Commerce Dietmar Jannach and Malte Ludewig

Session 4D: Autonomous Robots and Agents (Room: Heron) Chair: Roman Barták 3:00 pm Listen to my body: Does making friends help influence people?

Ron Artstein, David Traum, Jill Boberg, Alesia Gainer, Jonathan Gratch, Emmanuel Johnson, Anton Leuski and Mikio Nakano

3:20 pm Utilitarian Approach to Privacy in Distributed Constraint Optimization Problems Julien Savaux, Julien Vion, Sylvain Piechowiak, Rene Mandiau, Katsutoshi Hirayama, Toshihiro Matsui, Makoto Yokoo, Shakre Elmane and Marius Silaghi

3:40 pm Enhancing Multi-Objective Reinforcement Learning with Concept Drift Frederick C. Webber and Gilbert Peterson

4:00 pm Modeling Temporally Dynamic Environments for Persistent Autonomous Agents Matthew O'Brien and Ronald Arkin

30

BREAK, 4:20pm – 4:30pm

Monday, May 22, 4:30pm – 6:10pm Session 5 Session 5A: Artificial Intelligence in Games, Serious Games, Chair: D. Michael Franklin and Multimedia (Room: Ballroom B) 4:30 pm Improving Intuitive Reasoning Through Assistance Strategies in a Virtual Reality Game Ramla Ghali, Hamdi Ben Abdessalem and Claude Frasson

4:50 pm Towards Deception Detection in a Language-driven Game Will Hancock, Michael Floyd, Matthew Molineaux and David Aha

5:10 pm A Key Risk Indicator for the Game Usage Lifecycle Luiz Bernardo Martins Kummer, Julio Cesar Nievola and Emerson Paraiso

Session 5B: Case-Based Reasoning (Room: Ballroom C) Chair: Cindy Marling 4:30 pm Special Track Invited Talk: Case-Based Goal Reasoning

David Aha

5:10 pm A CBR system for image-based website classification: case representation with Convolutional Neural Networks Daniel López-Sánchez, Juan M. Corchado and Angélica González Arrieta

5:30 pm Case-Based Goal Trajectories for Knowledge Investigations Vahid Eyorokon, Uday Panjala and Michael Cox

5:50 pm Feature Selection for Learning from Demonstration in Minecraft Brandon Packard and Santiago Ontañón

Session 5C: Main Track – Interactive Systems (Room: Ballroom D) Chair: Fazel Keshtkar 4:30 pm An Analysis of Human Tutors’ Actions In Tutorial Dialogues

Vasile Rus, Nabin Maharjan, Lasang Jimba Tamang, Michael Yudelson, Susan Berman, Stephen E. Fancsali, Steve Ritter

4:50 pm The Perception of Social Bots by Human and Machine Scott Appling and Erica Briscoe

5:10 pm A Stochastic Approach to Character Growth in Automated Narrative Generation Josh Wade, Josiah Wong, Max Waldor, Lucas Pasqualin, Klaus Jantke, Rainer Knauf and Avelino Gonzalez

31

Session 5D: Main Track – Interactive Systems (Room: Heron) Chair: Keith Brawner 4:30 pm Machine Learning from Conversation with Humans

Awrad Mohammed Ali and Avelino Gonzalez 4:50 pm Improving feedbacks for ITS assessment of Concept Maps

Hugo Traverson, David Genest and Stephane Loiseau.

5:10pm Why do they vote that? Marius Silaghi

Monday, May 22, 6:30pm – 9:00pm Reception & Awards Location: On the Beach Best paper, Best Student Paper, Best Poster Awards, Douglas D. Dankel II Award for service to FLAIRS

32

Day 2: Tuesday, May 23, 2017

Tuesday, May 23, 8:45am – 10:00am Session 6

FLAIRS-30 Updates, 8:45am – 9:00am Ingrid Russell

Session 6A: Invited Talk (Room: Ballrooms B, C, D) Chair: Vasile Rus 9:00am Jiawei Han University of Illinois at Urbana-Champaign Mining Structures from Massive Text Data: A Data-Driven Approach

BREAK: 10:00am – 10:30am

Tuesday, May 23, 10:30am – 12:10pm Session 7 Session 7A: Data Mining, AI in Cyber Security, and Health Informatics Chair: Doug Talbert (Room: Ballroom B) 10:30 am Novel Graph Based Anomaly Detection Using Background Knowledge

Sirisha Velampalli and William Eberle

10:50 am A Text Mining Approach for Anomaly Detection in Application Layer DDoS Attacks Maryam Najafabadi, Taghi Khoshgoftaar, Chad Calvert and Cliff Kemp

11:10 am Graph-Based Anomaly Detection on Smart Grid Data Lenin Mookiah, Chris Dean and William Eberle

11:30 am Multivariate Anomaly Detection in Medicare using Model Residuals and Probabilistic Programming Richard Bauder and Taghi Khoshgoftaar

11:50 am Detection of Anomalous Activity in Diabetic Patients using Graph-Based Approach Ramesh Paudel, William Eberle and Doug Talbert

33

Session 7B: Artificial Intelligence for Big Social Data Analysis Chair: Eric Bell (Room: Ballroom C) 10:30 am Radical-Based Hierarchical Embeddings for Chinese Sentiment Analysis at Sentence Level Haiyun Peng, Erik Cambria and Xiaomei Zou

10:50 am Learning Word Vectors in Deep Walk using Convolution Iti Chaturvedi, Erik Cambria, Sandro Cavallari and Vincent Zheng

11:10 am Med-ConceptNet: an Affinity score based Medical Concept Network Anupam Mondal, Dipankar Das, Erik Cambria and Sivaji Bandyopadhyay

11:30 am Tracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups Ceyda Sanli, Anupam Mondal and Erik Cambria

Session 7C: Intelligent Learning Technologies (Room: Ballroom D) Chair: Benjamin Nye 10:30 am Identifying creative projects in App Inventor Eni Mustafaraj, Franklyn Turbak and Maja Svanberg

10:50 am Transfer Learning in Intelligent Tutoring Systems - Results, Challenges and New Directions Aubrey Gress and Ian Davidson

11:10 am Adaptive Reading and Writing Instruction in iSTART and W-Pal Amy Johnson, Kathryn McCarthy, Kristopher Kopp, Cecile Perret and Danielle Mcnamara

11:30 am Evolutionary Practice Problems Generation: More Design Guidelines Alessio Gaspar, A.T.M. Golam Bari, R. Paul Wiegand, Anthony Bucci, Amruth Kumar and Jennifer Albert

11:50 am Synthesis of Solutions for Shaded Area Geometry Problems Christopher Alvin, Sumit Gulwani, Rupak Majumdar and Supratik Mukhopadhyay

Session 7D: Uncertain Reasoning (Room: Heron) Chair: Leopoldo Bertossi

10:30 pm Special Track Invited Talk: Open-World Probabilistic Databases Guy Van den Broeck 11:10 am Typed Model Counting and its Application to Probabilistic Conditional Reasoning at Maximum

Entropy Marco Wilhelm and Gabriele Kern-Isberner

11:30 am On the Interrelationships Among C-Inference Relations Based on Preferred Models for Sets of Default Rules Christoph Beierle, Steven Kutsch and Andreas Obergrusberger

11:50 am Learning and selection of dynamic Bayesian Networks for non-stationary processes in real time Matthieu Hourbracq, Wuillemin Pierre-Henri, Christophe Gonzales and Philippe Baumard

34

LUNCH: 12:10pm – 1:30pm

Tuesday, May 23, 1:30pm – 3:10pm Session 8 Session 8A: Natural Language Processing of Ancient and Chair: Yudong Liu Other Low-resourced Languages (Room: Ballroom B) 1:30 pm Special Track Invited Talk: Dead languages reborn in assembly: NLP for ancient traditions Kyle P. Johnson 2:10 pm Visual Exploration of Latin Derivational Morphology

Chris Culy, Eleonora Litta and Marco Passarotti

2:30 pm Unsupervised Extraction of Training Data for pre-Modern Chinese OCR Donald Sturgeon

2:50 pm GitDOX: A Linked Version Controlled Online XML Editor for Manuscript Transcription Shuo Zhang and Amir Zeldes

Session 8B: Applied Natural Language Processing (Room: Ballroom C) Chair: Fazel Keshtkar 1:30 pm Markov Analysis of Students’ Professional Skills in Virtual Internships

Vasile Rus, Dipesh Gautam, Dale Bowman, Arthur C. Graesser, David Shaeffer

1:50 pm Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks Sansiri Tarnpradab, Fei Liu and Kien Hua

2:10 pm Computational Analysis of Lexical and Cohesion Differences in Deceptive Language: The Role of Accordance Ali Heidari, Meredith D’arienzo, Scott A. Crossley and Nicholas Duran

2:30 pm Automatically Identifying Humorous and Persuasive Language Produced during A Creative Problem-Solving Task Stephen Skalicky, Scott Crossley, Danielle McNamara and Kasia Muldner

2:50 pm An Efficient Deep Neural Architecture for Multilingual Sentiment Analysis in Twitter Willian Becker, Jônatas Wehrmann, Henry Cagnini and Rodrigo Barros

35

Session 8C: Main Track – Machine Learning (Room: Ballroom D) Chair: William Eberle 1:30 pm Using Machine Learning to Understand Top-Down Effects in an Ecosystem: Opportunities,

Challenges, and Lessons Learned Doug Talbert, Paul Tinker, Tom Crowther and Donald Walker

1:50 pm A Deep Neural Architecture for Kitchen Activity Recognition Roger Leitzke Granada, Juarez Monteiro, Rodrigo Coelho Barros and Felipe Meneguzzi

2:10 pm Online Conditional Outlier Detection in Nonstationary Time Series Siqi Liu, Adam Wright and Milos Hauskrecht

Session 8D: Main Track - Optimization (Room: Heron) Chair: Keith Brawner 1:30 pm A Scalable Weighted Max-SAT Implementation of Propositional Etcetera Abduction Naoya Inoue and Andrew Gordon

1:50 pm Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad and Nikolay Laptev

2:10 pm A normative-prescriptive-descriptive approach to analyzing CSP heuristics Richard Wallace

2:30 pm Optimizing Expected Utility and Stability in Role Based Hedonic Games Matthew Spradling

BREAK, 3:10pm – 3:30pm

Tuesday, May 23, 3:30pm – 5:20pm Session 9 Session 9A: Main Track – Machine Learning Chair: David Bisant (Room: Ballroom B) 3:30 pm Learning Tree-Structured CP-nets with Local Search Thomas E. Allen, Cory Siler and Judy Goldsmith

3:50 pm Temporal Deep Belief Network for Online Human Action Recognition Francois Lasson, Mihai Polceanu, Cedric Buche and Pierre De Loor

4:10 pm What-if Prediction via Inverse Reinforcement Learning Masahiro Kohjima, Tatsushi Matsubayashi and Hiroshi Sawada

4:30 pm Improving Robustness in Social Fabric-based Cultural Algorithms with Two New Approaches in Population and Belief Spaces Bahram Zaeri and Ziad Kobti

36

Session 9B: Uncertain Reasoning (Room: Ballroom C) Chair: Gabriele Kern-Isberner 3:30 pm Extraction of NAT Casual Structures Based on Bipartition

Yang Xiang

3:50 pm On Finding Relevant Variables in Discrete Bayesian Network Inference Cory Butz, Andre Dos Santos and Jhonatan Oliveira

4:10 pm Learning the parameters of possibilistic networks from data: Empirical comparison Karim Tabia, Amélie Levray, Maroua Haddad and Philippe Leray

4:30 pm Enforcing Relational Matching Dependencies with Datalog for Entity Resolution Zeinab Bahmani and Leopoldo Bertossi

Session 9C: Intelligent Support for Decision Making and Applications of Chair: Marius Silaghi Artificial Intelligence in Business and Industry (Room: Ballroom D) 3:30 pm Making Decisions Using Realistic Estimates of Customer Satisfaction

Preet Inder Singh Rihan, Ritesh Garodia, Adeel Siddiqui and Roman Filipovych

3:50 pm A Challenge for Multi-party Decision Making: Malicious Argumentation Strategies Andrew Kuipers and Joerg Denzinger

4:10 pm Document Embedding Strategies for Job Title Classification Yun Zhu, Faizan Javed and Ozgur Ozturk

4:30 pm Online Proactive Escalation in Multi-modal Automated Assistants Cynthia Freeman and Ian Beaver

Session 9D: Non-classical Logics and Machine Learning Chair: Jean-Yves Beziau for Heterogeneous Data (Room: Heron) 3:30 pm Logic of Existentialism in Fiction

Ilya Makarov and Valeria Bodishtyanu

3:50 pm An Ensemble Blocking Approach for Entity Resolution of Heterogeneous Datasets Janani Balaji, Faizan Javed, Chris Min and Sam Sander

37

Day 3: Wednesday, May 24, 2017

Wednesday, May 24, 8:45am – 10:00am Session 10

FLAIRS-31 Information, 8:45am – 9:00am Zdravko Markov

Session 10A: Invited Talk (Room: Ballrooms B, C, D) Chair: Zdravko Markov 9:00am James Allen Institute of Human Machine Cognition Towards Broad-Coverage Deep Language Understanding

BREAK, 10:00am – 10:30am

Wednesday, May 24, 10:30am – 11:30pm Session 11 Session 11A: Main Track – Natural Language Processing Chair: Rajendra Banjade (Room: Ballroom B) 10:30 am Automated Assessment of Open-ended Student Answers in Tutorial Dialogues Using Gaussian\ Mixture Models Nabin Maharjan, Rajendra Banjade, Vasile Rus

10:50 am Unsupervised aspect term extraction in Online Drugs Reviews Diana Cavalcanti and Ricardo Prudencio

11:10 am A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads Kristjan Arumae, Guo-Jun Qi and Fei Liu

Session 11B: Semantic, Logics, Information Extraction and AI Chair: Ismail Biskri (Room: Ballroom C) 10:30 am A Robust watermarking system based on Formal Concept Analysis and Texture Analysis

Musab Ghadi, Lamri Laouamer, Laurent Nana and Anca Pascu.

10:50 am Using association rules mining for retrieving genre-specific music files Louis Rompré, Ismaïl Biskri and Jean-Guy Meunie

11:10 am A Quasi-Topologic Structure of Extensions in the Logic of Typical and Atypical Objects (LTA) and Logic of Determination of Objects (LDO) Anca Pascu, Jean-Pierre Desclés, and Ismail Biskri

38

Session 11C: Autonomous Robots and Agents Chair: Md Suruz Miah (Room: Ballroom D) 10:30 am DTMF Audio Communication for NAO Robots Kyle Poore, Joseph Masterjohn, Andreas Seekircher, Pedro Pena and Ubbo Visser

10:50 am Effects of task consideration order on decentralized task allocation using time-variant response thresholds Annie Wu and Vera Kazakova

11:10 am Using Machine Learning to Identify Activities of a Flying Drone from Sensor Readings Roman Bartak and Marta Vomlelová

Session 11D: Applied Natural Language Processing and Ancient Language Chair: David Traum and Other Low-resourced Language (Room: Heron) 10:30 am Recurrence Quantification Analysis: A Technique for the Dynamical Analysis of Student Writing Laura Allen, Aaron Likens and Danielle McNamara

10:50 am Multiword Term Extraction through Lexical Head-selection Dirk De Hertog and Piet Desmet

11:10 am Score Fusion Based Authorship Attribution of Ancient Arabic Texts Halim Sayoud and Siham Ouamour

11:45 pm – 12:45 pm FLAIRS BUSINESS MEETING (Seagull Room)

END OF FLAIRS-30 We hope that you enjoyed the conference and Marco Island!

Join us for FLAIRS-31 in Melbourne, Florida http://www.flairs-31.info

39

Conference Center Map

40

Conference At A Glance

MONDAY (May 22, 2017)

Time Session Ballroom A & Foyer Ballroom B Ballroom C Ballroom D Heron 08:45-9:00 1: Welcome 09:00-10:00 1A: Invited Talk: Thomas G. Dietterich 10:00-10:30 BREAK 10:00-11:45 2: Posters 11:45-13:00 LUNCH 13:00-14:40 3A: Data Mining 3B: Semantics, Logic, IE, and AI 3C: Applied NLP 3D: AI for Big Social Data 14:40-15:00 BREAK 15:00-16:20 4A: Main Track - ML 4B: Main Track - Reasoning 4C: Recommender Systems 4D: Auton. Robots and Agents 16:20-16:30 BREAK 16:40-18:10 5A: AI in Games 5B: Case-based Reasoning 5C: Main Track - Inter. Systems 5D: Main Track - Inter. Systems 18:10-18:30 BREAK 18:30-21:00 RECEPTION AND AWARDS (Location: On The Beach)

TUESDAY (May 23, 2017) 08:45-09:00 6: FLAIRS-30 Updates 09:00-10:00 6A: Invited Talk: Jiawei Han 10:00-10:30 BREAK 10:30-12:10 7A: Data Mining, AI in

Sec., & Health Inf. 7B: AI for Big Social Data Analysis

7C: Intelligent Learning Technologies

7D: Uncertain Reasoning

12:10-13:30 LUNCH 13:30-15:10 8A: NLP for Anc. Lang. 8B: ANLP 8C: Main Track - ML 8D: Main Track - Optimization 15:10-15:30 BREAK 15:30-17:20 9A: Main Track - ML 9B: Uncertain Reasoning 9C: Intel. Support for Decision

Making & AI in Business 9D: Non-classical Logics & ML for Heterogeneous Data

WEDNESDAY (May 24, 2017) 08:45-09:00 10: FLAIRS-31 Information 09:00-10:00 10A: Invited Talk: James Allen 10:00-10:30 BREAK 10:30-11:30 11A: Main Track - NLP 11B: Semantics, Logics, IE & AI 11C: Autonomous Robots and

Agents 11D: ANLP and NLP for Anc. Lang.

11:45-12:45 FLAIRS BUSINESS MEETING (Seagull Room)

Conference At a Glance

ACKNOWLEDGMENTS

We would like to extend special thanks to:

The FLAIRS organization AAAI

Pacific Northwest National Laboratory