Effect of environmental covariable selection in the hydrological modeling using machine learning models to predict daily streamflow

Performance analysis of TRMM satellite in precipitation estimation for the Itapemirim River basin, Espirito Santo state, Brazil

(2020) Karinnie Nascimento de Almeida et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Using machine learning algorithms to map the groundwater recharge potential zones

(2020) Hamid Reza Pourghasemi et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Pluviometric and fluviometric trends in association with future projections in areas of conflict for water use

(2020) Felipe Bernardes Silva et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Machine learning models for streamflow regionalization in a tropical watershed

(2020) Renan Gon Ferreira et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Modelling and mapping soil organic carbon stocks in Brazil

(2019) Lucas Carvalho Gomes et al.   GEODERMA

Downscaling MODIS land surface temperature over a heterogeneous area: An investigation of machine learning techniques, feature selection, and impacts of mixed pixels

(2019) Hamid Ebrahimy et al.   COMPUTERS & GEOSCIENCES

Development of an annual drought classification system based on drought severity indexes

(2019) RAFAEL P.C. LIMA et al.   ANAIS DA ACADEMIA BRASILEIRA DE CIENCIAS

Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data

(2019) Patrick Schratz et al.   ECOLOGICAL MODELLING

Influence of land use and land cover’s change on the hydrological regime at a Brazilian southeast urbanized watershed

(2019) Ana Luiza Melo Rodrigues et al.   Environmental Earth Sciences

Comparison of daily streamflow forecasts using extreme learning machines and the random forest method

(2019) Xue Li et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Daily streamflow prediction using optimally pruned extreme learning machine

(2019) Rana Muhammad Adnan et al.   JOURNAL OF HYDROLOGY

Effects on runoff caused by changes in land cover in a Brazilian southeast basin: evaluation by HEC-HMS and HEC-GEOHMS

(2018) Thalita Costa de Moraes et al.   Environmental Earth Sciences

Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation

(2018) Hanna Meyer 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

Simulation and forecasting of streamflows using machine learning models coupled with base flow separation

(2018) Hakan Tongal et al.   JOURNAL OF HYDROLOGY

Comparison of Spatial Interpolation Methods of Precipitation and Temperature Using Multiple Integration Periods

(2018) Sinan Jasim Hadi et al.   Journal of the Indian Society of Remote Sensing

A novel variable selection method based on stability and variable permutation for multivariate calibration

(2018) Junming Chen et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

(2018) Tomislav Hengl et al.   PeerJ

Streamflow Hydrology Estimate Using Machine Learning (SHEM)

(2017) T.R. Petty et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Quantifying the impacts of vegetation changes on catchment storage-discharge dynamics using paired-catchment data

(2017) Lei Cheng et al.   WATER RESOURCES RESEARCH

Revealing the potential of spectral and textural predictor variables in a neural network-based rainfall retrieval technique

(2017) Hanna Meyer et al.   Remote Sensing Letters

An evaluation of regionalization and watershed classification schemes for continuous daily streamflow prediction in ungauged watersheds

(2016) Tara Razavi et al.   Canadian Water Resources Journal

MODIStsp : An R package for automatic preprocessing of MODIS Land Products time series

(2016) L. Busetto et al.   COMPUTERS & GEOSCIENCES

An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland

(2016) Ravinesh C Deo et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Non-tuned machine learning approach for hydrological time series forecasting

(2016) Zaher Mundher Yaseen et al.   NEURAL COMPUTING & APPLICATIONS

Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

(2016) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Statistical analysis and ANN modeling for predicting hydrological extremes under climate change scenarios: The example of a small Mediterranean agro-watershed

(2015) Nektarios N. Kourgialas et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Recent advances and emerging challenges of feature selection in the context of big data

(2015) V. Bolón-Canedo et al.   KNOWLEDGE-BASED SYSTEMS

High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications

(2015) Anton Akusok et al.   IEEE Access

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY

Köppen's climate classification map for Brazil

(2014) Clayton Alcarde Alvares et al.   METEOROLOGISCHE ZEITSCHRIFT

Monthly discharge forecasting using wavelet neural networks with extreme learning machine

(2014) BaoJian Li et al.   Science China-Technological Sciences

Advancing monthly streamflow prediction accuracy of CART models using ensemble learning paradigms

(2012) Halil Ibrahim Erdal et al.   JOURNAL OF HYDROLOGY

Two cooperative ant colonies for feature selection using fuzzy models

(2009) Susana M. Vieira et al.   EXPERT SYSTEMS WITH APPLICATIONS