Related references
Note: Only part of the references are listed.Spatial flood susceptibility prediction in Middle Ganga Plain: comparison of frequency ratio and Shannon's entropy models
Aman Arora et al.
GEOCARTO INTERNATIONAL (2021)
Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India
Aman Arora et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2021)
Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt
Bosy A. El-Haddad et al.
NATURAL HAZARDS (2021)
Flood susceptibility mapping using a geomorphometric approach in South Australian basins
Alaa Ahmed et al.
NATURAL HAZARDS (2021)
Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
Himan Shahabi et al.
GEOSCIENCE FRONTIERS (2021)
Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models
Romulus Costache et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?
Yacine Achour et al.
GEOSCIENCE FRONTIERS (2020)
Leveraging machine learning for predicting flash flood damage in the Southeast US
Atieh Alipour et al.
ENVIRONMENTAL RESEARCH LETTERS (2020)
GIS-based MCDM - AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia
Dhekra Souissi et al.
GEOCARTO INTERNATIONAL (2020)
Integrated machine learning methods with resampling algorithms for flood susceptibility prediction
Esmaeel Dodangeh et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
A Semi-Supervised Tri-CatBoost Method for Driving Style Recognition
Weirong Liu et al.
SYMMETRY-BASEL (2020)
A Methodology for Predicting Aggregate Flight Departure Delays in Airports Based on Supervised Learning
Bojia Ye et al.
SUSTAINABILITY (2020)
Prediction of coastal flooding risk under climate change impacts in South Korea using machine learning algorithms
Sang-Jin Park et al.
ENVIRONMENTAL RESEARCH LETTERS (2020)
Flood susceptibility assessment based on a novel random Naive Bayes method: A comparison between different factor discretization methods
Xianzhe Tang et al.
CATENA (2020)
Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning
Romulus Costache et al.
JOURNAL OF HYDROLOGY (2020)
GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naive Bayes tree, bivariate statistics and logistic regression: A case of Topla basin, Slovakia
Sk Ajim Ali et al.
ECOLOGICAL INDICATORS (2020)
Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping
Peyman Yariyan et al.
WATER RESOURCES MANAGEMENT (2020)
CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China
Yixiao Zhang et al.
JOURNAL OF HYDROLOGY (2020)
PERSIANN Dynamic Infrared-Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset
Phu Nguyen et al.
JOURNAL OF HYDROMETEOROLOGY (2020)
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
Swapan Talukdar et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2020)
Modeling Spatial Flood using Novel Ensemble Artificial Intelligence Approaches in Northern Iran
Alireza Arabameri et al.
REMOTE SENSING (2020)
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution
Tzu-Hsin Karen Chen et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Evaluating the performance of random forest for large-scale flood discharge simulation
Lukas Schoppa et al.
JOURNAL OF HYDROLOGY (2020)
CatBoost for big data: an interdisciplinary review
John T. Hancock et al.
JOURNAL OF BIG DATA (2020)
Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms
Shahab S. Band et al.
REMOTE SENSING (2020)
Integrated Methodology for Urban Flood Risk Mapping at the Microscale in Ungauged Regions: A Case Study of Hurghada, Egypt
Karim Abdrabo et al.
REMOTE SENSING (2020)
A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping
Ataollah Shirzadi et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)
A novel cryptocurrency price trend forecasting model based on LightGBM
Sun Xiaolei et al.
FINANCE RESEARCH LETTERS (2020)
Impacts of Triple Factors on Flash Flood Vulnerability in Egypt: Urban Growth, Extreme Climate, and Mismanagement
Mohamed Saber et al.
GEOSCIENCES (2020)
Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques
Hamid Darabi et al.
JOURNAL OF HYDROLOGY (2019)
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
Khabat Khosravi et al.
JOURNAL OF HYDROLOGY (2019)
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
Bahram Choubin et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Prognosis for residual islet β-cell secretion function in young patients with newly diagnosed type 1 diabetes
Haitao Miao et al.
JOURNAL OF DIABETES (2019)
Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process
Matej Vojtek et al.
WATER (2019)
Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques
Mahyat Shafapour Tehrany et al.
CATENA (2019)
Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions
Guomin Huang et al.
JOURNAL OF HYDROLOGY (2019)
LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion
Cheng Chen et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2019)
A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area
Dieu Tien Bui et al.
JOURNAL OF HYDROLOGY (2019)
The use of watershed geomorphic data in flash flood susceptibility zoning: a case study of the Karnaphuli and Sangu river basins of Bangladesh
Mohammed Sarfaraz Gani Adnan et al.
NATURAL HAZARDS (2019)
Flood Risk Assessment of Global Watersheds Based on Multiple Machine Learning Models
Xiangnan Li et al.
WATER (2019)
Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran
Saeid Janizadeh et al.
SUSTAINABILITY (2019)
Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data
Junliang Fan et al.
AGRICULTURAL WATER MANAGEMENT (2019)
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
Yi Wang et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2019)
Classification of oolong tea varieties based on hyperspectral imaging technology and BOSS-LightGBM model
Xiao Ge et al.
JOURNAL OF FOOD PROCESS ENGINEERING (2019)
Developing an overall assessment map for flood hazard on large area watershed using multi-method approach: case study of Wadi Qena watershed, Egypt
Wael M. Elsadek et al.
NATURAL HAZARDS (2019)
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
Jie Dou et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Flood Susceptibility Assessment in Bangladesh Using Machine Learning and Multi-criteria Decision Analysis
Mahfuzur Rahman et al.
EARTH SYSTEMS AND ENVIRONMENT (2019)
A Model Combining Convolutional Neural Network and LightGBM Algorithm for Ultra-Short-Term Wind Power Forecasting
Yun Ju et al.
IEEE ACCESS (2019)
Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models
Safura Siahkamari et al.
GEOCARTO INTERNATIONAL (2018)
Evaluation of four hydrological models for operational flood forecasting in a Canadian Prairie watershed
Fisaha Unduche et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2018)
Flood susceptibility in rural settlements in remote zones: The case of a mountainous basin in the Sierra-Costa region of Michoacan, Mexico
M. Lourdes Gonzalez-Arqueros et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2018)
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
Hossein Shafizadeh-Moghadam et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2018)
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naive Bayes tree for landslide susceptibility modeling
Wei Chen et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China
Haoyuan Hong et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning
Xiaojun Ma et al.
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS (2018)
The 1962 flash flood in the Rubi stream (Barcelona, Spain)
J. P. Martin-Vide et al.
JOURNAL OF HYDROLOGY (2018)
Use of remote sensing to analyse peatland changes after drainage for peat extraction
Ali Torabi Haghighi et al.
LAND DEGRADATION & DEVELOPMENT (2018)
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
Dieu Tien Bui et al.
SCIENTIFIC REPORTS (2018)
Flood Prediction Using Machine Learning Models: Literature Review
Amir Mosavi et al.
WATER (2018)
Flood susceptibility analysis through remote sensing, GIS and frequency ratio model
Sailesh Samanta et al.
APPLIED WATER SCIENCE (2018)
A novel hybrid artificial intelligence approach for flood susceptibility assessment
Kamran Chapi et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2017)
A high-accuracy map of global terrain elevations
Dai Yamazaki et al.
GEOPHYSICAL RESEARCH LETTERS (2017)
Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea
Sunmin Lee et al.
GEOMATICS NATURAL HAZARDS & RISK (2017)
A comparison of two seasonal rainfall forecasting systems for Australia
R Fawcett et al.
Australian Meteorological and Oceanographic Journal (2017)
Developing drought impact functions for drought risk management
Sophie Bachmair et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2017)
Flash flood susceptibility assessment in Jeddah city (Kingdom of Saudi Arabia) using bivariate and multivariate statistical models
Ahmed M. Youssef et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran
Omid Rahmati et al.
GEOCARTO INTERNATIONAL (2016)
A framework model for the dimensioning and allocation of a detention basin system: The case of a flood-prone mountainous watershed
Annalisa Bellu et al.
JOURNAL OF HYDROLOGY (2016)
Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS
Dieu Tien Bui et al.
JOURNAL OF HYDROLOGY (2016)
A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique
Khabat Khosravi et al.
NATURAL HAZARDS (2016)
Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas
Chen Cao et al.
SUSTAINABILITY (2016)
Land Use Change Impact on Flooding Areas: The Case Study of Cervaro Basin (Italy)
Ciro Apollonio et al.
SUSTAINABILITY (2016)
Risk assessment in social lending via random forests
Milad Malekipirbazari et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope-Evros region, Greece
Nerantzis Kazakis et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2015)
Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
Mahyat Shafapour Tehrany et al.
JOURNAL OF HYDROLOGY (2014)
Long-term effects of land use/land cover change on surface runoff in urban areas of Beijing, China
Zhongchang Sun et al.
JOURNAL OF APPLIED REMOTE SENSING (2013)
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
Mahyat Shafapour Tehrany et al.
JOURNAL OF HYDROLOGY (2013)
Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling-Narayanghat road section in Nepal Himalaya
Krishna Chandra Devkota et al.
NATURAL HAZARDS (2013)
Global flood risk under climate change
Yukiko Hirabayashi et al.
NATURE CLIMATE CHANGE (2013)
Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): A comparative assessment of the efficacy of evidential belief functions and fuzzy logic models
Dieu Tien Bui et al.
CATENA (2012)
An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia
Masoud Bakhtyari Kia et al.
ENVIRONMENTAL EARTH SCIENCES (2012)
Roles of saltcedar (Tamarix spp.) and capillary rise in salinizing a non-flooding terrace on a flow-regulated desert river
E. P. Glenn et al.
JOURNAL OF ARID ENVIRONMENTS (2012)
Assessment of flood hazard, vulnerability and risk of mid-eastern Dhaka using DEM and 1D hydrodynamic model
Muhammad Masood et al.
NATURAL HAZARDS (2012)
An approach to computing topographic wetness index based on maximum downslope gradient
Cheng-Zhi Qin et al.
PRECISION AGRICULTURE (2011)
Application of IHACRES rainfall-runoff model to the Wadi Dhuliel arid catchment, Jordan
Eyad H. Abushandi et al.
JOURNAL OF WATER AND CLIMATE CHANGE (2011)
Using topographic wetness index in vegetation ecology: does the algorithm matter?
Martin Kopecky et al.
APPLIED VEGETATION SCIENCE (2010)
Models for monitoring wind farm power
Andrew Kusiak et al.
RENEWABLE ENERGY (2009)
Urban cadastral mapping using very high resolution remote sensing data
K. N. Prudhvi Raju et al.
PHOTONIRVACHAK-JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING (2008)
Understanding catchment behavior through stepwise model concept improvement
Fabrizio Fenicia et al.
WATER RESOURCES RESEARCH (2008)
Geographical analysis of damage due to flash floods in southern France: The cases of 12-13 November 1999 and 8-9 September 2002
Freddy Vinet
APPLIED GEOGRAPHY (2008)
Estimating the impact of global change on flood and drought risks in europe:: A continental, integrated analysis
Bernhard Lehner et al.
CLIMATIC CHANGE (2006)
Trends in Middle East climate extreme indices from 1950 to 2003
XB Zhang et al.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2005)
Random forest classifier for remote sensing classification
M Pal
INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)
Impact of heterogeneity, bed forms, and stream curvature on subchannel hyporheic exchange
MB Cardenas et al.
WATER RESOURCES RESEARCH (2004)
The concept of effective length in hillslopes: assessing the influence of climate and topography on the contributing areas of catchments
SK Aryal et al.
HYDROLOGICAL PROCESSES (2003)
Stochastic gradient boosting
JH Friedman
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)
Soft margins for AdaBoost
G Rätsch et al.
MACHINE LEARNING (2001)
Ill-conditioning and multicollinearity
F Öztürk et al.
LINEAR ALGEBRA AND ITS APPLICATIONS (2000)
Share Paper
