Pinned Repositories
covid19_scenarios
Models of COVID-19 outbreak trajectories and hospital demand
GA_ANN
R scripts used to implement the GA_ANN IVS algorithm described in: Galelli S., Humphrey G.B., Maier H.R., Castelletti A., Dandy G.C. and Gibbs M.S. (2014) An evaluation framework for input variable selection algorithms for environmental data-driven models, Environmental Modelling and Software, 62, 33-51, DOI: 10.1016/j.envsoft.2014.08.015.
IVS_SelectionAccuracy
R code to compute the selection accuracy metrics recommended for evaluating input variable selection (IVS) methods in: Galelli S., Humphrey G.B., Maier H.R., Castelletti A., Dandy G.C. and Gibbs M.S. (2014) An evaluation framework for input variable selection algorithms for environmental data-driven models, Environmental Modelling and Software, 62, 33-51, DOI: 10.1016/j.envsoft.2014.08.015.
MATLAB_ExtraTrees
The MATLAB_ExtraTrees package is a MATLAB implementation of the Extremely Randomized Trees (Extra-Trees) proposed by Geurts et al. (2006)
MATLAB_IterativeInputSelection
The MATLAB_IterativeInputSelection toolbox is a MatLab implementation of the Iterative Input Selection (IIS) algorithm proposed by Galelli and Castelletti (2013).
PMIS_PCIS
R scripts used to implement the PMIS and PCIS input variable selection (IVS) algorithms described in: Galelli S., Humphrey G.B., Maier H.R., Castelletti A., Dandy G.C. and Gibbs M.S. (2014) An evaluation framework for input variable selection algorithms for environmental data-driven models, Environmental Modelling and Software, 62, 33-51, DOI: 10.1016/j.envsoft.2014.08.015.
validann
validann R package - Validation tools for artificial neural networks
HARC_Development
A framework for the development of data professionals in the health system in South Australia
gbhumphrey1's Repositories
gbhumphrey1/PMIS_PCIS
R scripts used to implement the PMIS and PCIS input variable selection (IVS) algorithms described in: Galelli S., Humphrey G.B., Maier H.R., Castelletti A., Dandy G.C. and Gibbs M.S. (2014) An evaluation framework for input variable selection algorithms for environmental data-driven models, Environmental Modelling and Software, 62, 33-51, DOI: 10.1016/j.envsoft.2014.08.015.
gbhumphrey1/validann
validann R package - Validation tools for artificial neural networks
gbhumphrey1/covid19_scenarios
Models of COVID-19 outbreak trajectories and hospital demand
gbhumphrey1/GA_ANN
R scripts used to implement the GA_ANN IVS algorithm described in: Galelli S., Humphrey G.B., Maier H.R., Castelletti A., Dandy G.C. and Gibbs M.S. (2014) An evaluation framework for input variable selection algorithms for environmental data-driven models, Environmental Modelling and Software, 62, 33-51, DOI: 10.1016/j.envsoft.2014.08.015.
gbhumphrey1/IVS_SelectionAccuracy
R code to compute the selection accuracy metrics recommended for evaluating input variable selection (IVS) methods in: Galelli S., Humphrey G.B., Maier H.R., Castelletti A., Dandy G.C. and Gibbs M.S. (2014) An evaluation framework for input variable selection algorithms for environmental data-driven models, Environmental Modelling and Software, 62, 33-51, DOI: 10.1016/j.envsoft.2014.08.015.
gbhumphrey1/MATLAB_ExtraTrees
The MATLAB_ExtraTrees package is a MATLAB implementation of the Extremely Randomized Trees (Extra-Trees) proposed by Geurts et al. (2006)
gbhumphrey1/MATLAB_IterativeInputSelection
The MATLAB_IterativeInputSelection toolbox is a MatLab implementation of the Iterative Input Selection (IIS) algorithm proposed by Galelli and Castelletti (2013).