Adrian S. Barb, Ph.D.

2008 University of Missouri - Columbia, Columbia, MO, United States 
Computer Science
"Adrian Barb"


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Chi-Ren Shyu grad student 2008 University of Missouri - Columbia
 (Knowledge representation and exchange of visual patterns using semantic abstractions.)
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Han JG, Cao H, Barb A, et al. (2014) A neotropical Miocene pollen database employing image-based search and semantic modeling. Applications in Plant Sciences. 2
Barb AS, Neill CJ, Sangwan RS, et al. (2014) A statistical study of the relevance of lines of code measures in software projects Innovations in Systems and Software Engineering. 10: 243-260
Barb AS, Clariana RB, Shyu CR. (2013) Applications of pathfinder network scaling for improving the ranking of satellite images Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6: 1092-1099
Barb AS. (2013) Expertise evaluation using PathFinder networks scaling in ranking of satellite images Imsci 2013 - 7th International Multi-Conference On Society, Cybernetics and Informatics, Proceedings. 147-152
Barb AS, Shyu CR. (2012) Associative semantic ranking of satellite images using PathFinder Network Scaling ensemble methods International Geoscience and Remote Sensing Symposium (Igarss). 5289-5292
Barb AS, Shyu CR. (2012) A study of factors that influence the accuracy of content-based geospatial ranking systems International Journal of Image and Data Fusion. 3: 257-268
Harnsomburana J, Green JM, Barb AS, et al. (2011) Computable visually observed phenotype ontological framework for plants. Bmc Bioinformatics. 12: 260
Barb AS, Shyu CR. (2011) Semantic models for ranking medical images using Dirichlet non-parametric mixture models 2011 Ieee 13th International Conference On E-Health Networking, Applications and Services, Healthcom 2011. 344-350
Barb AS, Shyu CR. (2010) Visual-semantic modeling in content-based geospatial information retrieval using associative mining techniques Ieee Geoscience and Remote Sensing Letters. 7: 38-42
Barb AS, Shyu CR. (2010) Visual information mining and ranking using graded relevance assessments in satellite image databases International Geoscience and Remote Sensing Symposium (Igarss). 3398-3401
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