2
Computational intelligence methods and their applications to environmental science

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Tuesday, 25 January 2011: 1:30 PM-3:00 PM
2A (Washington State Convention Center)
Host: Ninth Conference on Artificial Intelligence and its Applications to the Environmental Sciences
Chair:  Kimberly L. Elmore, Nssl/cimms, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK
Papers:
  1:30 PM
2.1
Prescreening of predictors for nonlinear machine learning methods in environmental sciences
Aranildo Lima, Univ. of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh and A. J. Cannon
  2:00 PM
2.2
Sensitivity analysis in linear and nonlinear models: a review
Caren Marzban, University of Washington, Seattle, WA
  2:15 PM
2.3
Gene-expression programming: a variant of genetic programming that allows efficient meteorological function fitting
Atoossa Bakhshaii, University of British Columbia, Vancouver, BC, Canada; and R. B. Stull
  2:30 PM
2.4
Comparing datasets and methods to identify major severe weather outbreaks
Chad M. Shafer, University of Oklahoma, Norman, OK ; and A. E. Mercer, M. B. Richman, L. M. Leslie, and C. A. Doswell III
  2:45 PM
2.5
Addressing wind direction uncertainty in source estimation through dynamic time warping
Guido Cervone, George Mason University, Fairfax, VA; and J. Lin and P. Franzese
Manuscript (793.0 kB)