PROGRAM  (Final Program)


General Track (Title & Authors)

Full Papers


Leveraging Paraphrase Labels to Extract Synonyms from Twitter


Maria Antoniak, Eric Bell and Fei Xia


The Risks of Introspection: A Quantitative Analysis of Influence Between Scientific Communities

Václav Belák and Conor Hayes


On the Normalization of Interval-Based Possibility Distributions

Salem Benferhat, Karim Tabia, Sylvain Lagrue, Vladik Kreinovich and Martine Ceberio


Non defeated-based repair in possibilistic DL-Lite knowledge bases


Zied Bouraoui, Salem Benferhat and Karim Tabia


Methodological Proposal to Collect Vehicle Traffic Data in Video Scenes by Object Tracking

Jesús Caro, Miguel Bravo and Félix González


Using Multi-Agent Options to Reduce Learning Time in Reinforcement Learning

Danielle M Clement and Manfred Huber


Optimizing Question-Answering Systems Using Genetic Algorithms

Ulysse Cote-Allard, Richard Khoury, Luc Lamontagne, Jonathan Bergeron, Francois Laviolette and Alexandre Bergeron-Guyard


Computational Creativity in the Culinary Arts

Erol Cromwell, Jonah Galeota-Sprung and Raghuram Ramanujan


A Topic-Based Search, Visualization, and Exploration System

Christan Grant, Clint Pazhayidam George, Virupaksha Kanjilal and Supriya Nirkhiwale


Fast and Accurate Causal Inference from Time Series Data


Yuxiao Huang and Samantha Kleinberg


The Shapley Value in Voting Games: Computing Single Large Party's Power and Bounds for Manipulation by Merging

Ramoni Lasisi and Abibat Lasisi


Varying Social Cue Constellations Results in Different Attributed Social Signals in a Simulated Surveillance Task


Emilio Lobato, Samantha Warta, Travis Wiltshire and Stephen Fiore


A Multiple-play Bandit Algorithm Applies to Recommender Systems

Jonathan Louedec, Max Chevalier, Josiane Mothe, Aurélien Garivier and Sebastien Gerchinovitz


ORPHEUS: Mental Simulation as Support for Decision-Making in a Virtual Agent

Mihai Polceanu, Marc Parenthoën and Cédric Buche


Evolutionary Technique for Combinatorial Reverse Auctions


Shubhashis Kumar Shil, Malek Mouhoub and Samira Sadaoui


Stability in Role Based Hedonic Games


Matthew Spradling and Judy Goldsmith


Light-weight Versus Heavy-weight Algorithms for SAC and Neighbourhood SAC

Richard Wallace


The “Qua-Entities” Paradigm versus the Notion of “Role” in NKRL (Narrative Knowledge Representation Language)

Gian Piero Zarri



Short Papers


Gender and Body Mass Index Classification Using a Microsoft Kinect Sensor


Virginia Andersson, Aline Tonini, Livia Amaral and Ricardo Araujo


An Automated Approach to the Initializing of the Snake Contour Algorithm for the Detection of Swimbladder Regions in X-ray Image Data

Jodie Gray, Thomas Reichherzer, Melanie Sutton, Jimmy Touma and Wayne Bennett


Recommending Regulation Strategies


Asma Ben Khedher and Claude Frasson


Fuzzy Contrast Improvement for Low Altitude Aerial Images


Lawrence Nderu, Nicolas Jouandeau and Herman Akdag


A Simple Decomposition Scheme For Large Real World Qualitative Constraint Networks


Michael Sioutis, Yakoub Salhi and Jean-François Condotta


A Flexible, Plugin-Based Smarthome Simulation Framework with Application to Navigational Intention Prediction


John Staton and Manfred Huber


I Don’t Always Have Positive Attitudes, but When I do it is Usually About a Robot: Development of the Robot Perception Scale


Samantha Warta


Semantic/Conceptual Annotation Techniques Making Use of the Narrative Knowledge Representation Language (NKRL)


Gian Piero Zarri



Special Track on the Applications of Artificial Intelligence in Business


Full Paper


A Four-Factor Model for Mining Consumer Insights in Social Data

David Bracewell



Special Track on Applied Natural Language Processing


Full Papers


How many utterances are needed to support time-offset interaction?


Ron Artstein, Anton Leuski, Heather Maio, Tomer Mor-Barak, Carla Gordon and David Traum


Using An Implicit Method for Coreference Resolution and Ellipsis Handling in Automatic Student Answer Assessment


Rajendra Banjade, Vasile Rus and Nobal B Niraula


English Generation from a Knowledge Base and Overly General Classes


Vinay Chaudhri, Eva Banik, Nikhil Dinesh and Umangi Oza


Using a Genetic Algorithm Approach to Study the Impact of Imbalanced Corpora in Sentiment Analysis


Lohann Ferreira, Mariza Dosciatti, Julio Nievola and Emerson Paraiso


Dealing with Imbalanced Datasets for Conference Resolution

Evandro Fonseca, Renata Vieira and Aline Vanin


A Measure of Text Formality as Humans Construct


Haiying Li, Qinyu Cheng and Arthur Graesser


Keyphrase Extraction and Grouping Based on Association Rules


Xin Li and Fei Song


Unsupervised Sumerian Personal Name Recognition


Yudong Liu and James Hearne


Multilabel Subject-based Classification of Poetry

Andres Lou, Diana Inkpen and Chris Tanasescu


Combining Word Representations for Measuring Word Relatedness and Similarity


Nobal B Niraula, Dipesh Gautam, Rajendra Banjade, Nabin Maharjan and Vasile Rus


Automated Labelling of Higher Level Constructs In Tutorial Dialogues


Vasile Rus, Nobal B Niraula, Rajendra Banjade and Nabin Maharjan


Cross Lingual Lexical Substitution Using Word Representation in Vector Space

Mohamed A Zahran, Hazem Raafat and Mohsen Rashwan



Short Papers


Classifying Salient Textual Entities in the Headlines and Captions of Grouped Bar Charts


Richard Burns, Sandra Carberry and Stephanie Schwartz


Mining of Conclusions of Student Texts for Automatic Assessment


Samuel González-López and Aurelio López-López


Ensemble Architecture for Location Mining in Tweets


Parma Nand and Rivindu Perera


Anomaly Detection in Text: The Value Of Domain Knowledge


Raksha Kumaraswamy, Anurag Wazalwar, Tushar Khot Sriraam, Jude Shavlik and Sriraam Natarajan


RealText-lex: Generating Lexicalization Patterns for Linked Data

Rivindu Perera and Parma Nand


Genre-Based Stages Classification for Polarity Analysis


John Roberto, Maria Salamó and Antònia Martí


Advanced Features of Collaborative Semantic Annotators - the 4A System


Pavel Smrz and Jaroslav Dytrych


Graph Structured Semantic Representation and Learning for Financial News


Boyi Xie and Rebecca J Passonneau


Aspect-Level Sentiment Analysis Based on a Generalized Probabilistic Topic and Syntax Model


Haochen Zhou and Fei Song




Special Track on Artificial Intelligence for Big Social Data


Full Papers


Semantic Outlier Detection for Affective Common-Sense Reasoning and Concept-Level Sentiment Analysis


Erik Cambria and Giuseppe Melfi


GECKA: Game Engine for Commonsense Knowledge Acquisition


Erik Cambria, Dheeraj Rajagopal and Kenneth Kwok




Arsemotica for arsmeteo-org: Emotion-driven Exploration of Online Art Collections


Viviana Patti, Federico Bertola and Antonio Lieto


Event Analysis in Social Media using Clustering of Heterogeneous Information Networks


Narumol Prangnawarat, Ioana Hulpus and Conor Hayes


Impact of Feature Selection Techniques for Tweet Sentiment Classification


Joseph Prusa, Taghi Khoshgoftaar and David Dittman


Discriminative Bi-term Topic Model for Headline-based Social News Clustering


Yunqing Xia, Nan Tang, Erik Cambria and Amir Hussain


Hierarchical Fuzzy Spectral Clustering in Social Networks using Spectral Characterization


Scott Wahl and John Sheppard


Discovering Emotions in the Wild: An Inductive Method to Identify Fine-grained Emotion Categories from Tweets


Jasy Liew Suet Yan



Special Track on Artificial Intelligence and Cyber Security

Full Papers

Network Intrusion Detection using a Hardware-based Restricted Coulomb Energy Algorithm on a Cognitive Processor

Mahdi Moghaddam and Ricardo Calix



Short Papers

A New Intrusion Detection Benchmarking System

Richard Zuech, Taghi Khoshgoftaar, Naeem Seliya, Maryam Najafabadi and Cliff Kemp


Special Track on Artificial Intelligence Education

Full Papers

Adapting to Learners’ Mental States Using a Physiological Computing Approach

Maher Chaouachi, Imène Jraidi and Claude Frasson


Computational Notebooks for AI Education


Keith O'Hara, Douglas Blank and James Marshall


Identifying Content Patterns in Peer Reviews Using Graph-based Cohesion

Lakshmi Ramachandran and Edward Gehringer



Special Track on Artificial Intelligence in Games and Multimedia

Short Papers

Strategy Inference in Stochastic Games Using Belief Networks comprised of Probabilistic Graphical Models


D Michael Franklin




Special Track on Artificial Intelligence in Healthcare Informatics

Full Papers

Selecting the Appropriate Ensemble Learning Approach for Balanced Bioinformatics Data

David Dittman, Taghi Khoshgoftaar and Amri Napolitano

Pooling SAX-BoP Approaches with Boosting to Classify Multivariate Synchronous Physiological Time Series Data

Zhiguang Wang and Tim Oates


Special Track on Autonomous Robots and Agents

Full Papers

Activity Monitoring and Prediction for Humans and NAO Humanoid Robots using Wearable Sensors

Saminda Abeyruwan, Faisal Sikder, Ubbo Visser and Dilip Sarkar

Safety in Multi-Agent Systems: Reputation based on Dossier


André Pinz Borges, Vanderson Botêlho, Osmar Dordal, Braulio Avila and Edson E Scalabrin


An Ontology-based Domain Representation for Plan-based Controllers in a Reconfigurable Manufacturing System


Stefano Borgo, Amedeo Cesta, Andrea Orlandini and Alessandro Umbrico


Spanning Tree Partitioning Approach for Configuration Generation in Modular Robots


Ayan Dutta, Prithviraj Dasgupta, Jose Baca and Carl Nelson


Coordinating Robot Teams for Disaster Relief


Mark Roberts, Tom Apker, David Aha and Benjamin Johnson


Camera-Based Localization and Stabilization of a Flying Drone


Jan Škoda and Roman Barták



Short Papers

Recognizing Scenes by Simulating Implied Social Interaction Networks

Maryanne Fields and Craig Lennon




Special Track on Case-Based Reasoning


Full Papers

Case-Based Behavior Recognition in Beyond Visual Range Air Combat


Hayley Borck, Justin Karneeb, Ron Alford and David Aha


Increasing the Runtime Speed of Case-Based Plan Recognition


Michael Maynord, David Aha and Swaroop Vattam


Generalization of Workflows in Process-Oriented Case-Based Reasoning


Gilbert Müller and Ralph Bergmann


Error Tolerant Plan Recognition: An Empirical Investigation

Swaroop Vattam, David Aha and Michael Floyd



Special Track on Data Mining

Full Papers

A Graph-theoretic Clustering Methodology Based on Vertex Attack Tolerance

Jeffrey Borwey, Darla Ahlert, Tayo Obafemi-Ajayi and Gunes Ercal

Detecting Anomalies in Mobile Telecommunication Networks Using a Graph-Based Approach

Cameron Chaparro and William Eberle


Content of Annual Reports as a Predictor for Long Term Stock Price Movements

John A Doucette and Robin Cohen


Exploring Equivalence Metrics to Analyze Behavior in a Naked Mole Rat Colony

Susan Imberman


Discovering Suspicious Behavior Using Graph-Based Approach

Lenin Mookiah, William Eberle and Lawrence Holder

A Probabilistic Approach to Aggregating Anomalies for Unsupervised Anomaly Detection with Industrial Applications

Tomas Olsson and Anders Holst



Short Papers

Survey of Crime Analysis and Prediction


Lenin Mookiah, William Eberle and Ambareen Siraj


Using Subgroup Discovery Metrics to Mine Interesting Subgraphs


Russ Neely, Zach Cleghern and Doug Talbert


Data preprocessing via polynomial fitting to improve clustering of spoken Arabic digits


Imad Rahal, Preston Hardy and Kelsey Weiers


Incremental Mining of Frequent Sequences in Environmental Sensor Data


Carlos Silveira Junior, Danilo Carvalho, Marcela Ribeiro and Marilde Santos




Special Track on Intelligent Learning Technologies


Full Papers

Improving Large-Scale Assessment Tests by Ontology Based Approach


Vinu EV and P Sreenivasa Kumar


Improving Classification of Free-Text Answers to ITS Questions with Item-Specific Supervised Learning


Benjamin Nye, Mustafa Hajeer and Zhiqiang Cai


A Constraint-Based Expert Modeling Approach for Ill-Defined Tutoring Domains


Angela Woods, Brian Stensrud, Robert Wray, Joshua Haley and Randolph Jones



Short Papers

The Impact of Anomalous Information, Personality, and Motivation on Self- Regulatory Processes in a Multimedia Vicarious Learning Environment


Jeremiah Sullins and Xiangen Hu


Are You Asking the Right Questions: The Use of Animated Agents to Teach Learners to Become Better Question Askers


Jeremiah Sullins, Danielle McNamara, Samuel Acuff, Daniel Neely, Eric Hildebrand, Grant Stewart and Xiangen Hu



Special Track on Recommender Systems

Full Papers

XPLODIV: An Exploitation-Exploration Aware Diversification Approach for Recommender Systems


Andrea Barraza-Urbina, Benjamin Heitmann, Conor Hayes and Angela Carrillo-Ramos


Recommending Scientific Papers: Investigating the User Curriculum


Jonathas Magalhães, Cleyton Souza, Evandro Costa and Joseana Fechine


Power of The Group Neighborhood in Memory-Based Group Recommender Systems


Nadia Najjar and David Wilson


Disease Similarity Calculation on Simplified Disease Knowledge Base for Clinical Decision Support Systems


Mai Omura, Yuka Tateishi and Takashi Okumura


Hypothetical Recommendation: A Study of Interactive Profile Manipulation Behavior for Recommender Systems


James Schaffer, Tobias Hollerer and John O'Donovan


Mitigating Power User Attacks on a User-based Collaborative Recommender System


David Wilson and Carlos Seminario



Short Papers

PathMining: A Path-based User Profiling Algorithm for Heterogeneous Graph-based Recommender Systems

Sangkeun Lee, Sanghyeb Lee and Byung-Hoon Park






Special Track on Semantic, Logic, Information Extraction and Artificial Intelligence

Full Papers


Semantic Search for Arabic

Aya Al-Zoghby and Khaled Shaalan


Brochette: Toward A Continuous Learning Platform for Knowledge Acquisition and Integration

Ivan Berlocher, Seonho Kim and Tony Lee


Lattice Queries for Search and Data Exploration

Boris Galitsky


Recognizing documents versus meta-documents by tree kernel learning

Boris Galitsky and Nina Lebedeva


Analysis of Coordinating Constructions in a Dependency Treebank

Vladislav Kubon, Marketa Lopatkova and Jiri Mirovsky


An Information-Theoretic Sentence Similarity Metric

John Mersch and Ray Lang



Short Papers

A four-conditions framework for decomposing combinatorial optimization problems hierarchically


Marouene Chaieb, Jaber Jemai and Khaled Mellouli



Special Track on Uncertain Reasoning

Full Papers

A Software System for the Computation, Visualization, and Comparison of Conditional Structures for Relational Probabilistic Knowledge Bases

Christoph Beierle, Steffen Kuche, Marc Finthammer and Gabriele Kern-Isberner


A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection


Christophe Gonzales, Séverine Dubuisson and Cristina Manfredotti


Multiple Iterated Belief Revision Without Independence


Gabriele Kern-Isberner and Daniela Huvermann


On-Line Learning of Multi-Valued Decision Diagram


Jean-Christophe Magnan and Pierre-Henri Wuillemin


A New Approach to Probabilistic Belief Change


Gavin Rens and Thomas Meyer


Uncertain Reasoning using Time-Dynamic Markov Random Field for Sensor-Network Applications


Shobhit Shakya and Jian Zhang


Hierarchical Beam Search for Solving Most Relevant Explanation in Bayesian Networks


Xiaoyuan Zhu and Changhe Yuan






Short Papers


Determining Good Elimination Orderings with Darwinian Networks

Cory Butz, Jhonatan Oliveira and Andre Dos Santos






Poster Abstracts
Edited by Ingrid Russell and Bill Eberle

Spoken Dialog Systems for Health Interventions using Fully Autonomous Humanoid Robots
Saminda Abeyruwan, Andreas Seekircher, Ubbo Visser, Ramesh Baral, Ugan Yasavur, and Christine Lisetti

Intelligent Systems for Cancer Prediction and Diagnosis
Tawfeeq Al- Kanhal and Yazan Otoum

Automated Theorem Proving by Translation to Description Logic
Negin Arhami and Geoff Sutcliffe

Effective, Efficient and Language Independent POS-tagging Using Markov Chains
Joaquim Assuncao, 
Paulo Fernandes, Luis Furquim, and Lucelene Lopes

Any Object Tracking and Following by a Flying Drone
Roman Barták and Adam Vyškovský

A Social Media Data Harvesting System
Eric Bell and Luke Hogan. SmartFeeds

Automated Extraction of POMDP training model from data
Alan Carlin and Courtney Dean

Tackling the Set Covering Problem with a New Binary Firefly Algorithm
Broderick Crawford, 
Ricardo Soto, Miguel Olivares, and Wenceslao Palma

A Social Approach for the Cold-Start Issue on Recommender Systems Based on the Extraction and Analysis of Web Resources
Antonio Felipe P. Bezerra and Julio Cesar Duarte

A Multi-Agent System Architecture for Operational Autonomy in Ocean Wave Energy Farms
Kostas HatalisDustin Dannenhauer, and Shalinee Kishore

What Happens When a Pedagogical Agent’s Emotional Support and Competency is Alternated in a Single Learning Task?
Heather Holden and Robert Sottilare

Visualization of Political Conversation Dynamics using Twittter
Adrianna Jelesnianska and Derrick Higgins

Analyzing Meta-data in Moodle Online Learning to Determine the Students’ Learning Behaviors
Fazel Keshtkar, Jordan Cowart, Ben Kingen, and Andrew Crutcher

GOGG: Graph of Graphs Generator -- Nested Structures to support Hierarchical Genetic Algorithms
Cameron Lamir and Jennifer Seitzer

Manipulation of Second-Order Copeland Elections Using Branch-and-Bound Heuristic Ramoni
O. Lasisi and Abibat A. Lasisi

Applying Different Machine Learning Strategies to Avalanche Forecasting in the Canton of Glarus in Eastern Switzerland: A Case Study
Sibylle Moehle and Christoph Beierle

Computing Locally Symmetric Models
Thomas Przybylinski and James Lu

Extracting Type Relevancy of Conversational Entities for Building a Communication Assistant Tool
Benjamin Shickel, Gokul Maddali and Parisa Rashidi

Time-Sensitive Online Active Learning for Multiple-Oracle Data Stream Classification
Benjamin Shickel and Parisa Rashidi

Recommendation System in Social Networks 
Geraldo Souza, Claudia Marcela Justel, and Julio Cesar Duarte

Sentence Compression using SVO Rules through Semantic Repre-sentation for Natural Languages
Madhuri Tayal, G. H. Raisoni, Mukesh Raghuwanshi, Latesh Malik

Automatic classification of macro- moves on the thesis genre using lexical-grammatical and lexical-semantic patterns
René Venegas

Effects of task priority on distributed task allocation using variable response thresholds
Annie Wu