Evaluation of six methods for correcting bias in estimates from ensemble tree machine learning regression models

Building a landslide hazard indicator with machine learning and land surface models

(2020) T.A. Stanley et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Machine Learning Predictions of pH in the Glacial Aquifer System, Northern USA

(2020) Paul E. Stackelberg et al.   Groundwater

Assessing the Lead Solubility Potential of Untreated Groundwater of the United States

(2019) Bryant C. Jurgens et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Modelling complex investment decisions in Germany for Renewables with different machine learning algorithms

(2019) Ulrich J. Frey et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia

(2019) Puyu Feng et al.   AGRICULTURAL SYSTEMS

Multiorder Hydrologic Position in the Conterminous United States: A Set of Metrics in Support of Groundwater Mapping at Regional and National Scales

(2019) Kenneth Belitz et al.   WATER RESOURCES RESEARCH

Forecasting urban household water demand with statistical and machine learning methods using large space-time data: A Comparative study

(2018) Isaac Duerr et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Improving predictions of hydrological low-flow indices in ungaged basins using machine learning

(2018) Scott C. Worland et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Metamodeling for Groundwater Age Forecasting in the Lake Michigan Basin

(2018) Michael N. Fienen et al.   WATER RESOURCES RESEARCH

Object-based correction of LiDAR DEMs using RTK-GPS data and machine learning modeling in the coastal Everglades

(2018) Hannah M. Cooper et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

(2017) Jin Li et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Estimating stock depletion level from patterns of catch history

(2017) Shijie Zhou et al.   FISH AND FISHERIES

A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA

(2017) Katherine M. Ransom et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Evaluating the sources of water to wells: Three techniques for metamodeling of a groundwater flow model

(2016) Michael N. Fienen et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A machine learning approach to geochemical mapping

(2016) Charlie Kirkwood et al.   JOURNAL OF GEOCHEMICAL EXPLORATION

Mapping sub-pixel urban expansion in China using MODIS and DMSP/OLS nighttime lights

(2016) Xiaoman Huang et al.   REMOTE SENSING OF ENVIRONMENT

Developing site-specific nutrient criteria from empirical models

(2013) John R. Olson et al.   Freshwater Science

Bias-corrected random forests in regression

(2011) Guoyi Zhang et al.   JOURNAL OF APPLIED STATISTICS

Statistical bias correction of global simulated daily precipitation and temperature for the application of hydrological models

(2010) C. Piani et al.   JOURNAL OF HYDROLOGY

Multiscale Bayesian neural networks for soil water content estimation

(2008) Raghavendra B. Jana et al.   WATER RESOURCES RESEARCH