Related references
Note: Only part of the references are listed.Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling
Stefanos Georganos et al.
GEOCARTO INTERNATIONAL (2021)
Prediction of higher heating value of biomass materials based on proximate analysis using gradient boosted regression trees method
Seyed Hashem Samadi et al.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2021)
A strategy to assess the uncertainty of a climate change impact on extreme hydrological events in the semi-arid Dehbar catchment in Iran
Ahmad Sharafati et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2020)
Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model
Anurag Malik et al.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS (2020)
Estimation of the spatial distribution of heavy metal in agricultural soils using airborne hyperspectral imaging and random forest
Kun Tan et al.
JOURNAL OF HAZARDOUS MATERIALS (2020)
Shallow Foundation Settlement Quantification: Application of Hybridized Adaptive Neuro-Fuzzy Inference System Model
Mariamme Mohammed et al.
ADVANCES IN CIVIL ENGINEERING (2020)
Gradient boosting machine for predicting return temperature of district heating system: A case study for residential buildings in Tianjin
Mingju Gong et al.
JOURNAL OF BUILDING ENGINEERING (2020)
Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model
Tao Hai et al.
IEEE ACCESS (2020)
An in-depth experimental study of anomaly detection using gradient boosted machine
Bayu Adhi Tama et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Bat optimisation neural networks for rainfall forecasting: case study for Kuching city
King Kuok Kuok et al.
JOURNAL OF WATER AND CLIMATE CHANGE (2019)
The potential of hybrid evolutionary fuzzy intelligence model for suspended sediment concentration prediction
Ozgur Kisi et al.
CATENA (2019)
A Wavelet Based Data Mining Technique for Suspended Sediment Load Modeling
Vahid Nourani et al.
WATER RESOURCES MANAGEMENT (2019)
Conjunction of a newly proposed emotional ANN (EANN) and wavelet transform for suspended sediment load modeling
Elnaz Sharghi et al.
WATER SUPPLY (2019)
Neural network architecture based on gradient boosting for IoT traffic prediction
Manuel Lopez-Martin et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Development of the FCM-SVR Hybrid Model for Estimating the Suspended Sediment Load
Farzad Hassanpour et al.
KSCE JOURNAL OF CIVIL ENGINEERING (2019)
Estimation of real-driving emissions for buses fueled with liquefied natural gas based on gradient boosted regression trees
Yingjiu Pan et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Forecasting short-term peak concentrations from a network of air quality instruments measuring PM2.5 using boosted gradient machine models
Georgia Miskell et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2019)
AFIF4: Deep gender classification based on AdaBoost-based fusion of isolated facial features and foggy faces
Mahmoud Afifi et al.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2019)
Prediction of clathrate hydrate phase equilibria using gradient boosted regression trees and deep neural networks
Yongchen Song et al.
JOURNAL OF CHEMICAL THERMODYNAMICS (2019)
Cascading logistic regression onto gradient boosted decision trees for forecasting and trading stock indices
Feng Zhou et al.
APPLIED SOFT COMPUTING (2019)
Pan evaporation modeling by three different neuro-fuzzy intelligent systems using climatic inputs
Rana Muhammad Adnan et al.
ARABIAN JOURNAL OF GEOSCIENCES (2019)
Daily streamflow prediction using optimally pruned extreme learning machine
Rana Muhammad Adnan et al.
JOURNAL OF HYDROLOGY (2019)
Failure detection in robotic arms using statistical modeling, machine learning and hybrid gradient boosting
Marcelo Azevedo Costa et al.
MEASUREMENT (2019)
Short and mid-term sea surface temperature prediction using time-series satellite data and LSTM-AdaBoost combination approach
Changjiang Xiao et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Prediction of Suspended Sediment Load Using Data-Driven Models
Rana Muhammad Adnan et al.
WATER (2019)
Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation
Rana Muhammad Adnan et al.
ENERGIES (2019)
Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters
Shahaboddin Shamshirband et al.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS (2019)
Calibration of a low-cost PM2.5 monitor using a random forest model
Yanwen Wang et al.
ENVIRONMENT INTERNATIONAL (2019)
Predicting University Students' Academic Success and Major Using Random Forests
Cedric Beaulac et al.
RESEARCH IN HIGHER EDUCATION (2019)
Suspended sediment load prediction using non-dominated sorting genetic algorithm II
Mahmoudreza Tabatabaei et al.
INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH (2019)
Evaluation of neuro-fuzzy and Bayesian techniques in estimating suspended sediment loads
Yaseen A. Hamaamin et al.
SUSTAINABLE WATER RESOURCES MANAGEMENT (2019)
Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
M. A. Ghorbani et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2018)
Impact of Normalization and Input on ARMAX-ANN Model Performance in Suspended Sediment Load Prediction
Hamid Moeeni et al.
WATER RESOURCES MANAGEMENT (2018)
Multiobjective sparse ensemble learning by means of evolutionary algorithms
Jiaqi Zhao et al.
DECISION SUPPORT SYSTEMS (2018)
Particle Size Distribution Controls the Threshold Between Net Sediment Erosion and Deposition in Suspended Load Dominated Flows
R. M. Dorrell et al.
GEOPHYSICAL RESEARCH LETTERS (2018)
Estimating suspended sediment load with multivariate adaptive regression spline, teaching-learning based optimization, and artificial bee colony models
Banu Yilmaz et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
River suspended sediment modelling using the CART model: A comparative study of machine learning techniques
Bahram Choubin et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification
Khawaja M. Asim et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2018)
Assessment of Dam Overtopping Reliability using SUFI Based Overtopping Threshold Curve
A. Sharafati et al.
WATER RESOURCES MANAGEMENT (2018)
Modeling daily suspended sediment load using improved support vector machine model and genetic algorithm
Mitra Rahgoshay et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2018)
Effect of river flow on the quality of estuarine and coastal waters using machine learning models
Mohamad Javad Alizadeh et al.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS (2018)
Prediction of solar radiation in China using different adaptive neuro-fuzzy methods and M5 model tree
Lunche Wang et al.
INTERNATIONAL JOURNAL OF CLIMATOLOGY (2017)
Prediction of suspended sediment load using ANN GA conjunction model with Markov chain approach at flood conditions
Arash Adib et al.
KSCE JOURNAL OF CIVIL ENGINEERING (2017)
Toward multi-day-ahead forecasting of suspended sediment concentration using ensemble models
Mohamad Javad Alizadeh et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2017)
Investigating the extrapolation performance of neural network models in suspended sediment data
A. O. Pektas et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2017)
Ensemble Wavelet-Support Vector Machine Approach for Prediction of Suspended Sediment Load Using Hydrometeorological Data
Sushil Kumar Himanshu et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2017)
Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
Zaher Mundher Yaseen et al.
JOURNAL OF HYDROLOGY (2017)
Assessing the applicability of TMPA-3B42V7 precipitation dataset in wavelet-support vector machine approach for suspended sediment load prediction
Sushil Kumar Himanshu et al.
JOURNAL OF HYDROLOGY (2017)
An Estimation of the Suspended Sediment Load Using Adaptive Network Based Fuzzy Inference System, Support Vector Machine and Artificial Neural Network Models
Meral Buyukyildiz et al.
WATER RESOURCES MANAGEMENT (2017)
Estimate of Suspended Sediment Concentration from Monitored Data of Turbidity and Water Level Using Artificial Neural Networks
Vanessa Sari et al.
WATER RESOURCES MANAGEMENT (2017)
Daily suspended sediment concentration simulation using hydrological data of Pranhita River Basin, India
Anurag Malik et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)
Evaluation of a Two-Stage SVM and Spatial Statistics Methods for Modeling Monthly River Suspended Sediment Load
Vahid Nourani et al.
WATER RESOURCES MANAGEMENT (2016)
Suspended sediment concentration estimation by stacking the genetic programming and neuro-fuzzy predictions
Ehsan Shamaei et al.
APPLIED SOFT COMPUTING (2016)
Evaluating the support vector machine for suspended sediment load forecasting based on gamma test
Sharareh Rashidi et al.
ARABIAN JOURNAL OF GEOSCIENCES (2016)
Daily suspended sediment simulation using machine learning approach
Dheeraj Kumar et al.
CATENA (2016)
Evaluation of data driven models for river suspended sediment concentration modeling
Mohammad Zounemat-Kermani et al.
JOURNAL OF HYDROLOGY (2016)
Suspended Sediment Modeling Using Neuro-Fuzzy Embedded Fuzzy c-Means Clustering Technique
Ozgur Kisi et al.
WATER RESOURCES MANAGEMENT (2016)
A Hybrid Double Feedforward Neural Network for Suspended Sediment Load Estimation
Xiao Yun Chen et al.
WATER RESOURCES MANAGEMENT (2016)
Estimating Sediment Discharge Using Sediment Rating Curves and Artificial Neural Networks in the Shiwen River, Taiwan
Samkele S. Tfwala et al.
WATER (2016)
A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States
Ehsan Olyaie et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2015)
Sediment load prediction by combined fuzzy logic-wavelet method
Mehmet Ozger et al.
JOURNAL OF HYDROINFORMATICS (2015)
Daily and Monthly Suspended Sediment Load Predictions Using Wavelet Based Artificial Intelligence Approaches
Vahid Nourani et al.
JOURNAL OF MOUNTAIN SCIENCE (2015)
Quantile Regression-Based Probabilistic Estimation Scheme for Daily and Annual Suspended Sediment Loads
Jenq-Tzong Shiau et al.
WATER RESOURCES MANAGEMENT (2015)
Artificial neural network weights optimization based on social-based algorithm to realize sediment over the river
Fatemeh Ramezani et al.
SOFT COMPUTING (2015)
ANN Based Sediment Prediction Model Utilizing Different Input Scenarios
Haitham Abdulmohsin Afan et al.
WATER RESOURCES MANAGEMENT (2015)
Monthly flow forecast for Mississippi River basin using artificial neural networks
C. Sivapragasam et al.
NEURAL COMPUTING & APPLICATIONS (2014)
Modeling of Sediment Yield Prediction Using M5 Model Tree Algorithm and Wavelet Regression
Manish Kumar Goyal
WATER RESOURCES MANAGEMENT (2014)
Automatic calibration of HEC-HMS using single-objective and multi-objective PSO algorithms
Bahareh Kamali et al.
HYDROLOGICAL PROCESSES (2013)
Comparison of Artificial Neural Network Models for Sediment Yield Prediction at Single Gauging Station of Watershed in Eastern India
Ajai Singh et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2013)
Improvement of watershed flood forecasting by typhoon rainfall climate model with an ANN-based southwest monsoon rainfall enhancement
Tsung-Yi Pan et al.
JOURNAL OF HYDROLOGY (2013)
Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments
Axel Ritter et al.
JOURNAL OF HYDROLOGY (2013)
Prediction of suspended sediment in river using fuzzy logic and multilinear regression approaches
Mustafa Demirci et al.
NEURAL COMPUTING & APPLICATIONS (2013)
Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling
Dong-Jun Yu et al.
NEUROCOMPUTING (2013)
River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques
Ozgur Kisi et al.
COMPUTERS & GEOSCIENCES (2012)
Modeling of Suspended Sediment Concentration at Kasol in India Using ANN, Fuzzy Logic, and Decision Tree Algorithms
A. R. Senthil Kumar et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2012)
Suspended sediment modeling using genetic programming and soft computing techniques
Ozgur Kisi et al.
JOURNAL OF HYDROLOGY (2012)
Modeling discharge-suspended sediment relationship using least square support vector machine
Ozgur Kisi
JOURNAL OF HYDROLOGY (2012)
River Suspended Sediment Prediction Using Various Multilayer Perceptron Neural Network Training Algorithms-A Case Study in Malaysia
M. R. Mustafa et al.
WATER RESOURCES MANAGEMENT (2012)
Suspended sediment load prediction of river systems: An artificial neural network approach
A. M. Melesse et al.
AGRICULTURAL WATER MANAGEMENT (2011)
Estimation of Suspended Sediment Yield in Natural Rivers Using Machine-coded Linear Genetic Programming
Aytac Guven et al.
WATER RESOURCES MANAGEMENT (2011)
Ensemble-based classifiers
Lior Rokach
ARTIFICIAL INTELLIGENCE REVIEW (2010)
River suspended sediment concentration modeling using a neural differential evolution approach
Oezguer Kisi
JOURNAL OF HYDROLOGY (2010)
Monthly total sediment forecasting using adaptive neuro fuzzy inference system
Mahmut Firat et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2010)
Suspended sediment concentration estimation by an adaptive neuro-fuzzy and neural network approaches using hydro-meteorological data
M. Cobaner et al.
JOURNAL OF HYDROLOGY (2009)
Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models
Taher Rajaee et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2009)
Modelling daily suspended sediment of rivers in Turkey using several data-driven techniques
Ozgur Kisi et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2008)
Predictability of sediment transport in the Yellow River using selected transport formulas
Baosheng Wu et al.
INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH (2008)
Complex variations in sediment transport at three large river bifurcations during discharge waves in the river Rhine
Roy M. Frings et al.
SEDIMENTOLOGY (2008)
Event-based sediment yield modeling using artificial neural network
Raveendra K. Rai et al.
WATER RESOURCES MANAGEMENT (2008)
Deriving stage-discharge-sediment concentration relationships using fuzzy logic
A. K. Lohani et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2007)
Model evaluation guidelines for systematic quantification of accuracy in watershed simulations
D. N. Moriasi et al.
TRANSACTIONS OF THE ASABE (2007)
LogitBoost classifier for discriminating thermophilic and mesophilic proteins
Guangya Zhang et al.
JOURNAL OF BIOTECHNOLOGY (2007)
Generalized regression neural network in modelling river sediment yield
HK Cigizoglu et al.
ADVANCES IN ENGINEERING SOFTWARE (2006)
Sediment transport in river models with overbank flows
XN Tang et al.
JOURNAL OF HYDRAULIC ENGINEERING (2006)
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
CJ Willmott et al.
CLIMATE RESEARCH (2005)
Predicting customer retention and profitability by using random forests and regression forests techniques
B Larivière et al.
EXPERT SYSTEMS WITH APPLICATIONS (2005)
Suspended sediment estimation using neuro-fuzzy and neural network approaches
O Kisi
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2005)
Data-driven modelling in the context of sediment transport
B Bhattacharya et al.
PHYSICS AND CHEMISTRY OF THE EARTH (2005)
Estimation and forecasting of daily suspended sediment data by multi-layer perceptrons
HK Cigizoglu
ADVANCES IN WATER RESOURCES (2004)
Application of back-propagation neural network modeling for free residual chlorine, total trihalomethanes and trihalomethanes speciation
MJ Rodriguez et al.
JOURNAL OF ENVIRONMENTAL ENGINEERING AND SCIENCE (2004)
Depth-averaged two-dimensional numerical modeling of unsteady flow and nonuniform sediment transport in open channels
WM Wu
JOURNAL OF HYDRAULIC ENGINEERING-ASCE (2004)
On evolution of bed material waves in alluvial rivers
ZX Cao et al.
EARTH SURFACE PROCESSES AND LANDFORMS (2003)
Prediction of sediment load concentration in rivers using artificial neural network model
HM Nagy et al.
JOURNAL OF HYDRAULIC ENGINEERING-ASCE (2002)
Stochastic gradient boosting
JH Friedman
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)
Comparison of discrimination methods for the classification of tumors using gene expression data
S Dudoit et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2002)
Experimental study of the transport of mixed sand and gravel
PR Wilcock et al.
WATER RESOURCES RESEARCH (2001)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)
Summarizing multiple aspects of model performance in a single diagram.
KE Taylor
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2001)
Additive logistic regression: A statistical view of boosting
J Friedman et al.
ANNALS OF STATISTICS (2000)