Proceedings of the Twenty-Second Innovative Applications of Artificial Intelligence Conference
Sponsored by the Association for the Advancement of Artificial Intelligence
Edited by Nestor Rychtyckyj and Daniel Shapiro
July 11 – 15 2010, Atlanta, Georgia, USA. Published by The AAAI Press, Menlo Park, California.
This proceedings is also available in book and CD format.
Contents
Deployed Application Case Studies
Optimizing Limousine Service with AI
Andy Hon Wai Chun
Surveillance of Parimutuel Wagering Integrity Using Expert Systems and Machine Learning
Roy Stuart Freedman, Isidore Sobkowski
Practical Language Processing for Virtual Humans
Anton Leuski, David Traum
AI-Based Software Defect Predictors: Applications and Benefits in a Case Study
Ayse Tosun, Ayse Bener, Resat Kale
Emerging Application or Methodology
Agent-Based Decision Support: A Case-Study on DSL Access Networks
Karsten Bsufka, Rainer Bye, Joël Chinnow, Stephan Schmidt, Leonid Batyuk
Estimation of Human Internal Temperature from Wearable Physiological Sensors
Mark J. Buller, William J. Tharion, Reed W. Hoyt, Odest Chadwicke Jenkins
Design Privacy with Analogia Graph
Yang Cai, Joseph Laws, Nathaniel Bauernfeind
Gaudii: An Automated Graphic Design Expert System
Carlos Gonzalez Morcilllo, Victor Jose Martin, David Vallejo Fernandez, Jose Jesus Castro Sanchez, Javier Alonso Albusac
A Sketch Recognition System for Recognizing Free-Hand Course of Action Diagrams
Tracy Anne Hammond, Drew Logsdon, Brandon Paulson, Joshua Johnston, Joshua Peschel, Aaron Wolin, Paul Taele
A Centralized Multi-Agent Negotiation Approach to Collaborative Air Traffic Resource Management Planning
Peter A. Jarvis, Shawn R. Wolfe, Francis Y. Enomoto, Robert A. Nado, Maarten Sierhuis
Predicting Falls of a Humanoid Robot through Machine Learning
Shivaram Kalyanakrishnan, Ambarish Goswami
A Wiki with Multiagent Tracking, Modeling, and Coalition Formation
Nobel Khandaker, Leen-Kiat Soh
Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Human Volunteer Study
Brett L. Moore, Periklis Panousis, Vivek Kulkarni, Larry D. Pyeatt, Anthony G. Doufas
Towards Applying Interactive POMDPs to Real-World Adversary Modeling
Brenda Ng, Carol Meyers, Kofi Boakye, John Nitao
Natural Language Aided Visual Query Building for Complex Data Access
Shimei Pan, Michelle Zhou, Keith Houck, Peter Kissa
Fast, Accurate, and Practical Identity Inference Using TV Remote Controls
Mariano Phielipp, Magdiel Galan, Richard Lee, Branislav Kveton, Jeffrey Hightower
Providing Decision Support for Cosmogenic Isotope Dating
Laura Rassbach, Elizabeth Bradley, Ken Anderson
A Testbed for Investigating Task Allocation Strategies between Air Traffic Controllers and Automated Agents
Nathan Schurr, Richard Good, Amy Alexander, Paul Picciano, Gabriel Ganberg, Michael Therrien, Bettina L. Beard, Jon Holbrook
Ambulatory Energy Expenditure Estimation: A Machine Learning Approach
Junaith Ahemed Shahabdeen, Amit Baxi, Lama Nachman
Sentiment Extraction: Integrating Statistical Parsing, Semantic Analysis, and Common Sense Reasoning
Lokendra Shastri, Anju G. Parvathy, Abhishek Kumar, John Wesley, Rajesh Blakrishnan
Learning from Sensors and Past Experience in an Autonomous Oceanographic Probe
Albert Vilamala, Enric Plaza, Josep Lluis Arcos
A Machine Learning Approach to the Detection of Fetal Hypoxia during Labor and Delivery
Philip A. Warrick, Emily F. Hamilton, Robert E. Kearney, Doina Precup
Sketch Worksheets: A Sketch-Based Educational Software System
Panrong Yin, Kenneth D. Forbus, Jeffrey Usher, Brad Sageman, Benjamin D. Jee
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