Evaluation of stacking and blending ensemble learning methods for estimating daily reference evapotranspiration

Random forest predictive model development with uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region

(2020) Min Wu et al.   HYDROLOGY RESEARCH

Comparison of five Boosting-based models for estimating daily reference evapotranspiration with limited meteorological variables

(2020) Tianao Wu et al.   PLoS One

Evapotranspiration evaluation models based on machine learning algorithms—A comparative study

(2019) Francesco Granata   AGRICULTURAL WATER MANAGEMENT

Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions

(2019) Guomin Huang et al.   JOURNAL OF HYDROLOGY

Machine learning models for the estimation of monthly mean daily reference evapotranspiration based on cross-station and synthetic data

(2019) Lifeng Wu et al.   HYDROLOGY RESEARCH

Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

(2019) Junliang Fan et al.   AGRICULTURAL WATER MANAGEMENT

Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso

(2018) Hai Tao et al.   AGRICULTURAL WATER MANAGEMENT

Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting

(2018) Federico Divina et al.   Energies

Reference evapotranspiration forecasting based on local meteorological and global climate information screened by partial mutual information

(2018) Wei Fang et al.   JOURNAL OF HYDROLOGY

Improving the performance of the mass transfer-based reference evapotranspiration estimation approaches through a coupled wavelet-random forest methodology

(2018) Jalal Shiri   JOURNAL OF HYDROLOGY

Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

(2018) Ozgur Kisi et al.   AGRICULTURAL AND FOREST METEOROLOGY

Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China

(2018) Junliang Fan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Daily pan evaporation modeling from local and cross-station data using three tree-based machine learning models

(2018) Xianghui Lu et al.   JOURNAL OF HYDROLOGY

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning

(2018) Mandeep Kaur Saggi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran

(2017) M. A. Ghorbani et al.   THEORETICAL AND APPLIED CLIMATOLOGY

A novel SVM-kNN-PSO ensemble method for intrusion detection system

(2016) Abdulla Amin Aburomman et al.   APPLIED SOFT COMPUTING

Exploiting ensemble learning for automatic cataract detection and grading

(2016) Ji-Jiang Yang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Climate change effects on reference crop evapotranspiration across different climatic zones of China during 1956–2015

(2016) Junliang Fan et al.   JOURNAL OF HYDROLOGY

Comparison of ELM, GANN, WNN and empirical models for estimating reference evapotranspiration in humid region of Southwest China

(2016) Yu Feng et al.   JOURNAL OF HYDROLOGY

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

(2015) Shafika Sultan Abdullah et al.   JOURNAL OF HYDROLOGY

Global performance ranking of temperature-based approaches for evapotranspiration estimation considering Köppen climate classes

(2015) Javier Almorox et al.   JOURNAL OF HYDROLOGY

Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree

(2015) Ozgur Kisi   JOURNAL OF HYDROLOGY

Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS

(2014) Manish Kumar Goyal et al.   EXPERT SYSTEMS WITH APPLICATIONS

Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate

(2013) Ozgur Kisi   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Estimating Daily Pan Evaporation Using Different Data-Driven Methods and Lag-Time Patterns

(2013) Sungwon Kim et al.   WATER RESOURCES MANAGEMENT

Pan Evaporation Modeling Using Neural Computing Approach for Different Climatic Zones

(2012) Sungwon Kim et al.   WATER RESOURCES MANAGEMENT

Dry matter and qualitative characteristics of alfalfa as affected by harvest times and soil water content

(2011) G. Testa et al.   EUROPEAN JOURNAL OF AGRONOMY

Comparative analysis of 31 reference evapotranspiration methods under humid conditions

(2011) Hossein Tabari et al.   IRRIGATION SCIENCE

Forecasting daily potential evapotranspiration using machine learning and limited climatic data

(2010) Alfonso F. Torres et al.   AGRICULTURAL WATER MANAGEMENT

Evapotranspiration modelling using support vector machines / Modélisation de l'évapotranspiration à l'aide de ‘support vector machines’

(2009) OZGUR KIŞI et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models

(2009) Taher Rajaee et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque Country (Northern Spain)

(2008) Gorka Landeras et al.   AGRICULTURAL WATER MANAGEMENT