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.

last updated on Mon May 20 01:59:22 2013 by the dblp team
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