Selection of relevant input variables in storm water quality modeling by multiobjective evolutionary polynomial regression paradigm

An evaluation framework for input variable selection algorithms for environmental data-driven models

(2014) Stefano Galelli et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Input variable selection and calibration data selection for storm water quality regression models

(2013) Siao Sun et al.   WATER SCIENCE AND TECHNOLOGY

On calibration data selection: The case of stormwater quality regression models

(2012) Siao Sun et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Performance and sensitivity analysis of stormwater models using a Bayesian approach and long-term high resolution data

(2011) C.B.S. Dotto et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Feature Selection Using Probabilistic Prediction of Support Vector Regression

(2011) Jian-Bo Yang et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

The use of long-term on-line turbidity measurements for the calculation of urban stormwater pollutant concentrations, loads, pollutographs and intra-event fluxes

(2011) M. Métadier et al.   WATER RESEARCH

Input variable selection for median flood regionalization

(2011) W. Z. Wan Jaafar et al.   WATER RESOURCES RESEARCH

Scour depth modelling by a multi-objective evolutionary paradigm

(2010) Daniele Laucelli et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Calibration of stormwater quality regression models: a random process?

(2010) A. Dembélé et al.   WATER SCIENCE AND TECHNOLOGY

Review of Stormwater Quality, Quantity and Treatment Methods Part 1: Stormwater Quantity Modelling

(2010) Rupak Aryal et al.   Environmental Engineering Research

Advances in data-driven analyses and modelling using EPR-MOGA

(2009) O. Giustolisi et al.   JOURNAL OF HYDROINFORMATICS

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

(2009) Hoshin V. Gupta et al.   JOURNAL OF HYDROLOGY

Assessment of annual pollutant loads in combined sewers from continuous turbidity measurements: Sensitivity to calibration data

(2009) C. Lacour et al.   WATER RESEARCH

Development of pipe deterioration models for water distribution systems using EPR

(2008) L. Berardi et al.   JOURNAL OF HYDROINFORMATICS