John P. Tiefenbacher

Improving prediction of water quality indices using novel hybrid machine-learning algorithms

Duie Tien Bui, Khabat Khosravi, John P. Tiefenbacher et al. · The Science of The Total Environment · 2020 · 426 citations

Computing, Environmental Engineering, Water Resources Management +10

Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods

Omid Rahmati, Bahram Choubin, Abolhasan Fathabadi et al. · The Science of The Total Environment · 2019 · 237 citations · Full text

Computing, Environmental Engineering, Hydrology +13

Urban flood modeling using deep-learning approaches in Seoul, South Korea

Xinxiang Lei, Wei Chen, Mahdi Panahi et al. · Journal of Hydrology · 2021 · 203 citations · Full text

Natural Resources, Civil Engineering, Hydrology +17

Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping

Peyman Yariyan, Saeid Janizadeh, Tran Van Phong et al. · Water Resources Management · 2020 · 173 citations

Natural Resources, Hydrology, Water Resources Management +14

Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future

Saeid Janizadeh, Subodh Chandra Pal, Asish Saha et al. · Journal of Environmental Management · 2021 · 163 citations · Full text

Natural Resources, Earth Sciences, Hydrology +17