PUBLICATIONS and PRESENTATIONS
Comparing Optimization Methods for Wargame AI Strategies. In: The 10th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games (CGAMES 2007). The 10th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games (CGAMES 2007). Louisville, KY; 2007.
. ADaM: A Data Mining Toolkit for Scientists and Engineers. Computers & Geosciences. 2005 ;31:607-618.
. Object Oriented Artificial Intelligence for Wargames. In: The 15th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games (CGAMES 2010). The 15th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games (CGAMES 2010). Louisville, KY; 2010.
. Efficient Parallel Computation of Inverse Document Frequency Features for Text Mining. In: The 2007 International Conference on Data Mining (DMIN 07). The 2007 International Conference on Data Mining (DMIN 07). Las Vegas, NV; 2007.
. The Observe-Orient-Decide-Act (OODA) Model For Strategic Game AI. In: The 6th International Conference on Computer Games: AI and Mobile Systems (CGAIMS 2005). The 6th International Conference on Computer Games: AI and Mobile Systems (CGAIMS 2005). Louisville, KY; 2005.
. A Coverage Based Ensemble Algorithm (CBEA) for Streaming Data. 16th IEEE Intl. Conference on Tools with Artificial Intelligence. 2004 .
. Using Association Rules as Texture Features. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2001 ;Vol 23:pp. 845-858.
. Augmenting Wargame AI with Data Mining Technology. AAAI Challenges in Game Artificial Intelligence Workshop. 2004 .
. A pragmatic understanding of 'knowing that' and 'knowing how': The pivotal role of conceptual structures . Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream. 1997 :25 - 40.
. LANCE Processing at the AMSR-E SIPS. In: AMSR-E Science Team Meeting. AMSR-E Science Team Meeting. Huntsville, AL; 2010.
. Processing Direct Broadcast Data to Reduce Latency of Aqua AMSR-E Products. 2011 Fall Meeting AGU. 2011 .
. Flexible Processing at the AMSR-E SIPS. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS '05). IEEE International Geoscience and Remote Sensing Symposium (IGARSS '05). Seoul, Korea; 2005.
. AMSR-E SIPS Processing Status. In: AMSR-E Science Team Meeting. AMSR-E Science Team Meeting. Huntsville, AL; 2010.
. AMSR-E SIPS Instrument Anomaly Observations. Beltsville, MD: GSFC; 2012.
. Processing Direct Broadcast Data to Reduce Latency of Aqua AMSR-E Products. In: AGU. AGU. San Francisco, CA; 2011.
. Product Delivery Record Server Data Transfer at the AMSR-E SIPS. IEEE International Geoscience & Remote Sensing Symposium (IGARSS '06). 2006 ;1:245-248.
. . Introducing LANCE, NASA’s Near-real-time Processing Capability for Aqua AMSR-E. In: American Geophysical Union. American Geophysical Union. San Francisco, CA; 2010.
. Introducing NASA's Near-real-time Processing Capability for Aqua AMSR-E . [Internet]. 2010 . Available from: http://www.itsc.uah.edu/main/sites/default/files/lance_poster.jpg
. . National Middleware Inititative. Alabama Middleware Conference. 2002 .
. Discovering and Accessing Data from the Federation of Earth Science Information Partners. Eos, Transactions, AGU. 2002 ;Vol. 83.
. An Improved Data Reduction Tool in Support of the Real-Time Assimilation of NASA Satellite Data Streams. NASA Science Technology Conference. 2007 .
. Coupling Ontology with Earth Science Markup Language for Scientific Dataset Description. Geological Society of America Meeting. 2003 .
. Earth Science Markup Language: A Solution to Address Data Format Heterogeneity Problems in Atmospheric Sciences. Bulletin of the American Meteorological Society. 2005 .
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