Monday Morning
Time	Session	Location	Title
0830	H11F	MCC Level 2	Use of Artificial Intelligence Methods in Geosciences Posters (joint with A, NG) Presiding: M Morissey, Oklahoma University; S Postawko Dr., University of Oklahoma    [Session PDF]
0830	H11F-0902	MCC Level 2	Comparison of Data-Driven Takagi--Sugeno Models of Rainfall-Discharge Dynamics H Vernieuwe, O Georgieva, *N E Verhoest, V R Pauwels, B De Baets, F P De Troch POSTER    [details]
0830	H11F-0903	MCC Level 2	Precipitation Estimation from Remotely Sensed Information using ANN-Cloud Classification System *Y Hong, K Hsu, S Sorooshian POSTER    [details]
0830	H11F-0904	MCC Level 2	Use of artificial neural networks in prediction of subsurface hydrological processes A W Warrick, *A Furman, D Zerihun, C A Sanchez POSTER    [details]
0830	H11F-0905	MCC Level 2	Automated Parameterization of a Transpiration Model: A Comparative Study of Bayesian Analysis and a Procedure Based on Fuzzy Set Theory *S Samanta, D S Mackay POSTER    [details]
0830	H11F-0906	MCC Level 2	Classification of Martian Terrain Using Automated Discovery of Structure Algorithm Applied to Digital Topography *R Vilalta, T F Stepinski POSTER    [details]
0830	H11F-0907	MCC Level 2	Development of Discharge Ratings for Low-Slope Streams Under Tidal Effects Using Non-Parametric and Data-Driven Models *E Habib, E Meselhe, S Kalikivaya POSTER    [details]
0830	H11F-0908	MCC Level 2	Expectation-Maximization Algorithm Based System Identification of Multiscale Stochastic Models for Scale Recursive Estimation of Precipitation: Application to Model Validation and Multisensor Data Fusion *R Gupta, V Venugopal, E Foufoula-Georgiou POSTER    [details]
0830	H11F-0909	MCC Level 2	Evolution of Neural Networks for the Prediction of Hydraulic Conductivity as a Function of Borehole Geophysical Logs: Shobasama Site, Japan P Reeves, *S A McKenna, S Takeuchi, H Saegusa POSTER    [details]
0830	H11F-0910	MCC Level 2	Nonlinear Multivariate and Time Series Analysis by Neural Network Methods, with Applications to ENSO *W W Hsieh INVITED POSTER    [details]
0830	H11F-0911	MCC Level 2	Prediction of Fluid Velocity in Highly Heterogeneous Conductivity Fields Using a Genetic Algorithm-Designed Artificial Neural Network *C Shirley, A Hassan POSTER    [details]
0830	H11F-0912	MCC Level 2	Detection of Visual Events in Underwater Video Using a Neuromorphic Saliency-based Attention System *D R Edgington, D Walther, D E Cline, R Sherlock, K A Salamy, A Wilson, C Koch POSTER    [details]
0830	H11F-0913	MCC Level 2	A Hybrid Global MISR Cloud Mask using Support Vector Machines and Active Learning *M J Garay, D M Mazzoni, R Davies, D M DeCoste, A J Braverman POSTER    [details]
0830	H11F-0914	MCC Level 2	Using Decision Trees to Examine Relationships between Inter-Annual Vegetation Variability, Topographic Attributes, and Climate Signals *A B White, P Kumar POSTER    [details]
0830	H11F-0915	MCC Level 2	A New Perspective on Modeling Groundwater-Driven Health Risk With Subjective Information *M M Ozbek, G F Pinder POSTER    [details]