Application of feature selection and regression models for chlorophyll-a prediction in a shallow lake

Predicting the effect of land use and climate change on stream macroinvertebrates based on the linkage between structural equation modeling and bayesian network

(2018) Xue Li et al.   ECOLOGICAL INDICATORS

Detection of regime shifts in a shallow lake ecosystem based on multi-proxy paleolimnological indicators

(2018) Ying Yang et al.   ECOLOGICAL INDICATORS

Changes in flow and chemistry of groundwater heavily affected by human impacts in the Baiyangdian catchment of the North China Plain

(2017) Ruiqiang Yuan et al.   Environmental Earth Sciences

Comparison of hybrid models for daily streamflow prediction in a forested basin

(2017) Xue Li et al.   JOURNAL OF HYDROINFORMATICS

Granular multi-label feature selection based on mutual information

(2017) Feng Li et al.   PATTERN RECOGNITION

Chlorophyll-A Prediction of Lakes with Different Water Quality Patterns in China Based on Hybrid Neural Networks

(2017) Xue Li et al.   Water

Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran

(2016) Omid Rahmati et al.   CATENA

Environmental flow management strategies based on the integration of water quantity and quality, a case study of the Baiyangdian Wetland, China

(2016) Ying Yang et al.   ECOLOGICAL ENGINEERING

Improving real-time forecasting of water quality indicators with combination of process-based models and data assimilation technique

(2016) Xuan Wang et al.   ECOLOGICAL INDICATORS

Short Term Electrical Load Forecasting Using Mutual Information Based Feature Selection with Generalized Minimum-Redundancy and Maximum-Relevance Criteria

(2016) Nantian Huang et al.   Entropy

A comparative study of multiple linear regression, artificial neural network and support vector machine for the prediction of dissolved oxygen

(2016) Xue Li et al.   HYDROLOGY RESEARCH

A comparative study of multiple linear regression, artificial neural network and support vector machine for the prediction of dissolved oxygen

(2016) Xue Li et al.   Hydrology Research

Identifying protein arginine methylation sites using global features of protein sequence coupled with support vector machine optimized by particle swarm optimization algorithm

(2015) Yan Zhang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

(2015) Kennedy Were et al.   ECOLOGICAL INDICATORS

Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea

(2015) Yongeun Park et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers

(2014) Katherine Ellis et al.   PHYSIOLOGICAL MEASUREMENT

A Comparative Assessment of Support Vector Machines, Probabilistic Neural Networks, and K-Nearest Neighbor Algorithms for Water Quality Classification

(2014) Fereshteh Modaresi et al.   WATER RESOURCES MANAGEMENT

Untangling drivers of species distributions: Global sensitivity and uncertainty analyses of MaxEnt

(2013) M. Convertino et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region

(2013) Zhibin He et al.   JOURNAL OF HYDROLOGY

Tree-based iterative input variable selection for hydrological modeling

(2013) S. Galelli et al.   WATER RESOURCES RESEARCH

Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease

(2012) A. Tsanas et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

(2012) Onisimo Mutanga et al.   International Journal of Applied Earth Observation and Geoinformation

Prediction of active sites of enzymes by maximum relevance minimum redundancy (mRMR) feature selection

(2012) Yu-Fei Gao et al.   Molecular BioSystems

Data integration and network reconstruction with ∼omics data using Random Forest regression in potato

(2011) Animesh Acharjee et al.   ANALYTICA CHIMICA ACTA

Climate change: Links to global expansion of harmful cyanobacteria

(2011) Hans W. Paerl et al.   WATER RESEARCH

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Input variable selection for water resources systems using a modified minimum redundancy maximum relevance (mMRMR) algorithm

(2009) Mohamad I. Hejazi et al.   ADVANCES IN WATER RESOURCES

Controls on biochemical oxygen demand in the upper Klamath River, Oregon

(2009) Annett B. Sullivan et al.   CHEMICAL GEOLOGY

Nutrient criteria for lakes, ponds, and reservoirs: A Bayesian TREED model approach

(2009) Angelina M. Freeman et al.   ECOLOGICAL MODELLING

Regional Scale Stressor-Response Models in Aquatic Ecosystems

(2008) E. Conrad Lamon et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION