23. FLAIRS Conference 2010: Daytona Beach, Florida, USA

Main Conference Papers

• Rawad Al-Haddad, Gita Sukthankar:
  A Psychologically-Inspired Agent for Iterative Prisoner's Dilemma.
  
• Mehul Bhatt:
  Commonsense Inference in Dynamic Spatial Systems: Epistemological Requirements.
  
• Vincent A. Cicirello:
  Heuristic Sequencing Crossover: Integrating Problem Dependent Heuristic Knowledge into a Genetic Algorithm.
  
• Denton Cockburn, Ziad Kobti, Timothy A. Kohler:
  A Reinforcement Learning Model for Economic Agent Specialization.
  
• Rong Hu, Brian Mac Namee, Sarah Jane Delany:
  Off to a Good Start: Using Clustering to Select the Initial Training Set in Active Learning.
  
• Patrick Lindstrom, Sarah Jane Delany, Brian Mac Namee:
  Handling Concept Drift in a Text Data Stream Constrained by High Labelling Cost.
  
• Luke McDowell, Kalyan Moy Gupta, David W. Aha:
  Meta-Prediction for Collective Classification.
  
• Yuridia P. Mejia, Ivan Olmos, Jesus A. Gonzalez:
  Structured Motifs Identification in DNA Sequences.
  
• Todd W. Neller, Christopher J. La Pilla:
  Decision-Theoretic Simulated Annealing.
  
• Gerardo Perez, Ivan Olmos, Jesus A. Gonzalez:
  Subgraph Isomorphism Detection with Support for Continuous Labels.
  
• Andreya Piplica, Alexandra Olivier, Allison Petrosino, Kevin Gold:
  Learning to Identify and Track Imaginary Objects Implied by Gestures.
  
• Cassondra Puklavage, Alexander R. Pirela, Avelino J. Gonzalez, Michael Georgiopoulos:
  Imitating Personalized Expressions in an Avatar through Machine Learning.
  
• Genaro Rebolledo-Mendez, Sara de Freitas, Jose Rafael Rojano-Caceres, Alma Rosa García-Gaona:
  An Empirical Examination of the Relation Between Attention and Motivation in Computer-Based Education: a Modeling Approach.
  
• Crystal Redman, Adele E. Howe:
  Evaluating Multi-Agent Traffic Controllers.
  
• Carolina Reta, Leopoldo Altamirano Robles, Jesus A. Gonzalez, Raquel Diaz, Jose S. Guichard:
  Segmentation of Bone Marrow Cell Images for Morphological Classification of Acute Leukemia.
  
• Gabriela A. Rodriguez, Jesus A. Gonzalez, Leopoldo Altamirano Robles, Jose S. Guichard, Raquel Diaz:
  A Supervised Method for Microcalcifications Detection using Breast Density.
  
• Yousuf Aboobaker Sait, Balaraman Ravindran:
  Visual Object Detection using Frequent Pattern Mining.
  
• Robert Speer, Catherine Havasi, Harshit Surana:
  Using Verbosity: Common Sense Data from Games with a Purpose.
  
• Geoff Sutcliffe, Martin Suda, Alexandra Teyssandier, Nelson Dellis, Gerard de Melo:
  Progress Towards Effective Automated Reasoning with World Knowledge.
  
• Matthias Thimm, Marc Finthammer, Sebastian Loh, Gabriele Kern-Isberner, Christoph Beierle:
  A System for Relational Probabilistic Reasoning on Maximum Entropy.
  
• Lionel Torti, Pierre-Henri Wuillemin:
  Structured Value Elimination with D-Separation Analysis.
  
• Liangliang Tu, Benjamin Fowler, Daniel L. Silver:
  CsMTL MLP For WEKA: Neural Network Learning with Inductive Transfer.
  

Main Conference Posters

• Itamar Arel, Andrew S. Davis:
  On the Episode Duration Distribution in Fixed-Policy Markov Decision Processes.
  
• Ajay Bansal, Neda Saeedloei, Gopal Gupta:
  Timed Planning.
  
• Luis A. Castillo, Juan Fernández-Olivares, Antonio González, Gonzalo Milla, David Prior, Lluvia Morales, José Figueroa, Víctor Pérez-Villar:
  A Knowledge Engineering Methodology for Rapid Prototyping of Planning Applications.
  
• Ricardo Omar Chávez García, Manuel Montes-y-Gómez, Luis Enrique Sucar:
  Image Re-Ranking Based on Relevance Feedback Combining Internal and External Similarities.
  
• Nicolae Dragu, Fouad Elkhoury, Takunari Miyazaki, Ralph A. Morelli, Nicolás di Tada:
  Ontology-Based Text Mining for Predicting Disease Outbreaks.
  
• Robert Holder:
  Problem Space Analysis for Plan Library Generation and Algorithm Selection in Real-time Systems.
  
• Sudharsan R. Iyengar:
  Primitive Capabilities for Visual Perception.
  
• Joseph Kendall-Morwick:
  Towards an Ensemble Framework for Assisting in Synthesis Tasks.
  
• Shou Kumokawa, Kazuko Takahashi:
  Rectangle Reasoning: A Qualitative Spatial Reasoning with Superposition.
  
• Younghwan Namkoong, Yongsung Joo, Douglas D. Dankel II:
  Partitioning Features for Model-based Clustering using Reversible Jump MCMC Technique.
  
• Michael P. O'Mahony, Barry Smyth:
  The Readability of Helpful Product Reviews.
  
• Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Holder:
  Handling of Numeric Ranges for Graph-Based Knowledge Discovery.
  
• Anthony Wehrer, Jay Yellen:
  Toward Building a Course-Timetabling Decision-Support System.
  

AI, Cognitive Semantics, and Computational Linguistics Special Track

• Motasem Alrahabi, Jean-Pierre Desclés, Jungyeon Suh:
  Direct Reported Speech in Multilingual Texts: Automatic Annotation and Semantic Categorization.
  
• Ismaïl Biskri, Louisette Emirkanian, Adel Jebali:
  Coordination of Standard Arabic Subject Markers: Implementing the Agreement Asymmetries in the ACCG Framework.
  
• Jean-Pierre Desclés:
  Reasoning in Natural Language in using Combinatory Logic and Topology An example with aspect and temporal relations.
  
• Aymen Elkhlifi, Rim Faiz:
  French-Written Event Extraction Based on Contextual Exploration.
  
• Boris Galitsky, Gabor Dobrocsi, Josep Lluís de la Rosa:
  Inverting Semantic Structure Under Open Domain Opinion Mining.
  
• Boris Galitsky, Josep Lluís de la Rosa, Boris Kovalerchuk:
  Explanation Versus Meta-Explanation: What Makes a Case More Convincing.
  
• Petr Homola, Jernej Vicic:
  Combining MT Systems Effectively.
  
• Seohyun Im, James Pustejovsky:
  Annotating Lexically Entailed Subevents for Textual Inference Tasks.
  
• Adam Joly, Ismaïl Biskri, Boubaker Hamrouni:
  Disambiguation of Textual Data Typification for the Purpose of Categorial Analysis.
  

Applied Natural Language Processing Special Track

• Kyoko Baba, Ryo Nitta:
  Dynamic Effects of Task Type Practice on the Japanese EFL University Student's Writing: Text Analysis with Coh-Metrix.
  
• Nate Blaylock, William de Beaumont, Lucian Galescu, Hyuckchul Jung, James F. Allen, George Ferguson, Mary D. Swift:
  Learning Collaborative Tasks on Textual User Interfaces.
  
• Scott A. Crossley, Danielle S. McNamara:
  Interlanguage Talk: What Can Breadth of Knowledge Features Tell Us about Input and Output Differences?.
  
• Mihai C. Lintean, Cristian Moldovan, Vasile Rus, Danielle S. McNamara:
  The Role of Local and Global Weighting in Assessing the Semantic Similarity of Texts Using Latent Semantic Analysis.
  
• Philip M. McCarthy:
  GPAT: A Genre Purity Assessment Tool.
  
• Hyunsoon C. Min, Philip M. McCarthy:
  Identifying Varietals in the Discourse of American and Korean Scientists: A Contrastive Corpus Analysis Using the Gramulator.
  
• Andrew Neel, Max H. Garzon:
  Semantic Methods for Textual Entailment: How Much World Knowledge is Enough?.
  
• Aliva M. Pradhan, Aparna S. Varde, Jing Peng, Eileen Fitzpatrick:
  Automatic Classification of Article Errors in L2 Written English.
  
• Bryan Rink, Cosmin Adrian Bejan, Sanda M. Harabagiu:
  Learning Textual Graph Patterns to Detect Causal Event Relations.
  
• Kirk Roberts, Cosmin Adrian Bejan, Sanda M. Harabagiu:
  Toponym Disambiguation Using Events.
  
• Khaled F. Shaalan, Marwa Magdy, Aly Fahmy:
  Morphological Analysis of Ill-Formed Arabic Verbs in Intelligent Language Tutoring Framework.
  
• Jennifer L. Weston, Scott A. Crossley, Danielle S. McNamara:
  Towards A Computational Assessment of Freewriting Quality.
  
• Wei Xiong, Min Song, Lori Watrous-deVersterre:
  A Quantitative Assessment of SENSATIONAL with an Exploration of Its Applications.
  
• Radhika Malladi, Irwin B. Levinstein, Chutima Boonthum, Joseph Magliano:
  Summarization: Constructing an Ideal Summary and Evaluating a Student's Summary Using LSA.
  
• Shravan Mylavarapu, Irwin B. Levinstein, Chutima Boonthum, Joseph Magliano, Keith K. Millis:
  Enhancing Protocol Evaluation Through Semantic Modification of Local Benchmarks.
  

Artificial Intelligence Education Special Track

• Reva Freedman:
  Python as a Vehicle for Teaching Natural Language Processing.
  
• James MacGlashan, Don Miner, Marie desJardins:
  A Game Playing System for Use in Computer Science Education.
  
• Kenneth Moorman, Dee Parks:
  Using Robots in Undergraduate AI Courses at Small Universities.
  
• Ellen Lowenfeld Walker:
  Recognizing American Sign Language Letters: A Machine Learning Experience in an Introductory AI Course.
  
• Michael Wollowski, John Verkamp:
  Effects of Game Tournaments on Learning and Classroom Climate.
  

Case-Based Reasoning Special Track

• Gonzalo Flórez Puga, Belén Díaz-Agudo, Pedro A. González-Calero:
  Similarity Measures in Hierarchical Behaviours from a Structural Point of View.
  
• Stephen Knox, Lorcan Coyle, Simon Dobson:
  Using Ontologies in Case-Based Activity Recognition.
  
• Fabiana Lorenzi, Francesco Ricci, Mara Abel, Ana L. C. Bazzan:
  Assumption-Based Reasoning for Multiagent Case-Based Recommender Systems.
  

Cognition and AI Special Track

• Nik Nailah Binti Abdullah, Helen C. Sharp, Shinichi Honiden:
  A Method of Analysis to Uncover Artefact-Communication Relationships.
  
• Maher Chaouachi, Pierre Chalfoun, Imene Jraidi, Claude Frasson:
  Affect and Mental Engagement: Towards Adaptability for Intelligent.
  
• Othalia Larue, Mickaël Camus, Pierre Poirier:
  Testing the Attention Capacities of a Complex Auto-Adaptive System: A Stroop Task Simulation.
  
• Craig Leth-Steensen, Sylvain Chartier, Dominic Langlois, Marie-France Hebert:
  Performing Complex Associations Using a Feature-Extracting Bidirectional Associative Memory.
  
• Ryan James McCall, Stan Franklin, David Friedlander:
  Grounded Event-Based and Modal Representations for Objects, Relations, Beliefs, Etc..
  

Data Mining Special Track

• Juan M. Banda, Rafal A. Angryk:
  An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization.
  
• Saaid Baraty, Dan A. Simovici:
  Large Data Sets, Conditional Entropy and the Cooper-Herskovitz Bayesian Score.
  
• Malika Charrad, Yves Lechevallier, Mohamed Ben Ahmed, Gilbert Saporta:
  On the Number of Clusters in Block Clustering Algorithms.
  
• Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing:
  Correlating Shape and Functional Properties Using Decomposition Approaches.
  
• William Eberle, Lawrence B. Holder, Jeffrey Graves:
  Using a Graph-Based Approach for Discovering Cybercrime.
  
• Philippe Fournier-Viger, Usef Faghihi, Roger Nkambou, Engelbert Mephu Nguifo:
  CMRULES: An Efficient Algorithm for Mining Sequential Rules Common to Several Sequences.
  
• Kehan Gao, Taghi M. Khoshgoftaar, Jason Van Hulse:
  An Evaluation of Sampling on Filter-Based Feature Selection Methods.
  
• Tarek Hamrouni, Sadok Ben Yahia, Engelbert Mephu Nguifo:
  Optimized Mining of a Concise Representation for Frequent Patterns based on Disjunctions Rather than Conjunctions.
  
• Florian Lemmerich, Mathias Rohlfs, Martin Atzmüller:
  Fast Discovery of Relevant Subgroup Patterns.
  
• Denis Petrussenko, Philip K. Chan:
  Incrementally Learning Rules for Anomaly Detection.
  
• Roman Barták, Ondrej Kuzelka, Filip Zelezný:
  Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming.
  
• Matt Honeycutt, Douglas A. Talbert, Steve Talbert:
  Interactive Knowledge Frontier Discovery with COBWEB-KFD.
  
• Prabakararaj Swapna Raj, Balaraman Ravindran:
  Mining Actionable Patterns.
  

Games and Entertainment Special Track

• Kevin Gold:
  Designer-Driven Intention Recognition in an Action-Adventure Game Using Fast Forward Bayesian Models.
  
• D. Hunter Hale, G. Michael Youngblood, Nikhil S. Ketkar:
  Using Intelligent Agents to Build Navigation Meshes.
  
• Tolga Könik, Kamal Ali, Daniel G. Shapiro, Nan Li, David J. Stracuzzi:
  Improving Structural Knowledge Transfer with Parametric Adaptation.
  
• Hector Muñoz-Avila, David W. Aha, Ulit Jaidee, Matthew Klenk, Matthew Molineaux:
  Applying Goal Driven Autonomy to a Team Shooter Game.
  
• Frederick W. P. Heckel, G. Michael Youngblood, Nikhil S. Ketkar:
  Reactive Teaming for Intelligent Game Characters.
  
• Nikhil S. Ketkar, G. Michael Youngblood:
  A Largest Common Subsequence-based Distance Measure for Classifying Player Motion Traces in Virtual Worlds.
  
• Fahad Shah, Philip Bell, Gita Sukthankar:
  A Destination Recommendation System for Virtual Worlds.
  
• Kurt Weissgerber, Brett J. Borghetti, Gilbert L. Peterson:
  An Effective and Efficient Real Time Strategy Agent.
  

Intelligent Tutoring Systems Special Track

• Justin F. Brunelle:
  Gamed-Based iSTART Practice: From MiBoard to Self-Explanation Showdown.
  
• John Champaign, Robin Cohen:
  A Model for Content Sequencing in Intelligent Tutoring Systems Based on the Ecological Approach and Its Validation Through Simulated Students.
  
• Federico Cirett, Carole R. Beal:
  Problem Solving by English Learners and English Primary Students in an Algebra Readiness ITS.
  
• Kyle B. Dempsey, G. Tanner Jackson, Justin F. Brunelle, Michael Rowe, Danielle S. McNamara:
  MiBoard: A Digital Game from a Physical World.
  
• Sidney K. D'Mello, Blair Lehman, Natalie K. Person:
  Expert Tutors Feedback Is Immediate, Direct, and Discriminating.
  
• Rania A. HodHod, Daniel Kudenko, Paul A. Cairns:
  Character Education Using Pedagogical Agents and Socratic Voice.
  
• Jeremy Ludwig, Robert Richards, Jeff Lovelace:
  Game Based Training for Fighter Pilots.
  
• Vasile Rus, Mihai C. Lintean, Roger Azevedo:
  Computational Aspects of the Intelligent Tutoring System MetaTutor.
  
• Christo Dichev, Darina Dicheva, Rob Drayton:
  Search and Exploration in LinkedCourse.
  
• Paula J. Durlach, Brandt W. Dargue:
  An Adaptive Training Prototype for Small Unmanned.
  
• Imene Jraidi, Maher Chaouachi, Claude Frasson:
  Enhancing Learner Self-Esteem for Learning Improvements.
  
• Nguyen-Thinh Le, Wolfgang Menzel, Niels Pinkwart:
  Considering Ill-Definedness of Problems from the Aspect of Solution Space.
  

Uncertain Reasoning Special Track

• Kevin Grant:
  Efficient Indexing for Recursive Conditioning Algorithms.
  
• Karen H. Jin, Dan Wu:
  Local Importance Sampling in Multiply Sectioned Bayesian Networks.
  
• Jens Dalgaard Nielsen, Antonio Salmerón Cerdán:
  Conditional Gaussian Probabilistic Decision Graphs.
  
• Yang Xiang:
  Generalized Non-impeding Noisy-AND Trees.
  
• Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom:
  A Surprise-Based Qualitative Probability Calculus II.
  
• Shengtong Zhong, Ana M. Martínez, Thomas D. Nielsen, Helge Langseth:
  Towards a More Expressive Model for Dynamic Classification.
  

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