Interpretable vs. noninterpretable machine learning models for data-driven hydro-climatological process modeling

Multimodel‐based analyses of evapotranspiration and its controls in China over the last three decades

(2020) Shaobo Sun et al.   Ecohydrology

Using a machine learning approach to predict mortality in critically ill influenza patients: a cross-sectional retrospective multicentre study in Taiwan

(2020) Chien-An Hu et al.   BMJ Open

Recent Advances in Evapotranspiration Estimation Using Artificial Intelligence Approaches with a Focus on Hybridization Techniques—A Review

(2020) Min Yan Chia et al.   Agronomy-Basel

Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure

(2020) Hang Qiu et al.   BMC Medical Informatics and Decision Making

A Comparative Study of Supervised Machine Learning Algorithms for the Prediction of Long-Range Chromatin Interactions

(2020) Thomas Vanhaeren et al.   Genes

A benchmark of machine learning approaches for credit score prediction

(2020) Vincenzo Moscato et al.   EXPERT SYSTEMS WITH APPLICATIONS

Species delimitation in endangered groundwater salamanders: Implications for aquifer management and biodiversity conservation

(2019) Thomas J. Devitt et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

PM2.5 Prediction Based on Random Forest, XGBoost, and Deep Learning Using Multisource Remote Sensing Data

(2019) Mehdi Zamani Joharestani et al.   Atmosphere

Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset

(2019) Romy Ratolojanahary et al.   EXPERT SYSTEMS WITH APPLICATIONS

Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China

(2019) Lifeng Wu et al.   JOURNAL OF HYDROLOGY

Artificial intelligence based approaches to evaluate actual evapotranspiration in wetlands

(2019) Francesco Granata et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Deep learning with long short-term memory networks for financial market predictions

(2018) Thomas Fischer et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Critical impact of vegetation physiology on the continental hydrologic cycle in response to increasing CO2

(2018) Léo Lemordant et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Trends in evapotranspiration and their responses to climate change and vegetation greening over the upper reaches of the Yellow River Basin

(2018) Shiqin Xu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)

(2018) Amina Adadi et al.   IEEE Access

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

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

An extensive experimental survey of regression methods

(2018) M. Fernández-Delgado et al.   NEURAL NETWORKS

An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives

(2017) Sam Cramer et al.   EXPERT SYSTEMS WITH APPLICATIONS

Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine

(2016) Milan Gocic et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Stomatal response to humidity and CO2 implicated in recent decline in US evaporation

(2016) Angela J. Rigden et al.   GLOBAL CHANGE BIOLOGY

Terrestrial Aridity and Its Response to Greenhouse Warming across CMIP5 Climate Models

(2015) Jacob Scheff et al.   JOURNAL OF CLIMATE

Support vector machine applications in the field of hydrology: A review

(2014) Sujay Raghavendra. N et al.   APPLIED SOFT COMPUTING

Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal–ordinal support vector classifier

(2014) J. Sánchez-Monedero et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

(2014) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon

(2012) Riccardo Taormina et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Monthly streamflow forecasting based on improved support vector machine model

(2011) Jun Guo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Recent decline in the global land evapotranspiration trend due to limited moisture supply

(2010) Martin Jung et al.   NATURE

Uncertainty in the estimation of potential evapotranspiration under climate change

(2009) Daniel G. Kingston et al.   GEOPHYSICAL RESEARCH LETTERS

Generalization performance of support vector machines and neural networks in runoff modeling

(2008) Mohsen Behzad et al.   EXPERT SYSTEMS WITH APPLICATIONS