Ataollah Shirzadi

发表

Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression

Xiaojing Wang, Shuai Zhang, Wei Chen, 2018, Applied Sciences.

Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

Nadhir Al-Ansari, Sepideh Bahrami, John J. Clague, 2020, Remote. Sens..

A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping

John J. Clague, Dieu Tien Bui, Khabat Khosravi, 2020, Eng. Appl. Artif. Intell..

Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping

Wei Chen, Ataollah Shirzadi, Himan Shahabi, 2020, Symmetry.

Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm

John J. Clague, Dieu Tien Bui, Ataollah Shirzadi, 2020 .

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

Biswajeet Pradhan, Anuar Ahmad, Dieu Tien Bui, 2018, Sensors.

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms

Wei Chen, Biswajeet Pradhan, Saro Lee, 2018, Sensors.

Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis

Ataollah Shirzadi, Kamran Chapi, Binh Thai Pham, 2019, The Open Construction and Building Technology Journal.

Towards an Ensemble Machine Learning Model of Random Subspace Based Functional Tree Classifier for Snow Avalanche Susceptibility Mapping

Himan Shahabi, Ataollah Shirzadi, Bahram Choubin, 2020, IEEE Access.

GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran

Wei Chen, Romulus Costache, Amir Mosavi, 2020, Remote. Sens..

SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment

Hamid Reza Pourghasemi, Saro Lee, Khabat Khosravi, 2019, Applied Sciences.

Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sens. 2018, 10, 1538

Nhat-Duc Hoang, Saro Lee, Dieu Tien Bui, 2019, Remote. Sens..

A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers

Dieu Tien Bui, Ataollah Shirzadi, Binh Thai Pham, 2019, Geocarto International.

A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides

Nhat-Duc Hoang, Saro Lee, Dieu Tien Bui, 2018, Remote. Sens..

Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia

Wei Chen, Dieu Tien Bui, Himan Shahabi, 2018, Remote. Sens..

A comparative study between popular statistical and machine learning methods for simulating volume of landslides

Dieu Tien Bui, Himan Shahabi, Ataollah Shirzadi, 2017 .

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution.

A-Xing Zhu, Wei Chen, Ataollah Shirzadi, 2018, The Science of the total environment.

Deep learning neural networks for spatially explicit prediction of flash flood probability

Ataollah Shirzadi, Himan Shahabi, Ebrahim Omidvar, 2020 .

Sinkhole susceptibility mapping: A comparison between Bayes‐based machine learning algorithms

Francisco Gutiérrez, Himan Shahabi, Khabat Khosravi, 2019, Land Degradation & Development.

Hybridized neural fuzzy ensembles for dust source modeling and prediction

Biswajeet Pradhan, Ravinesh C. Deo, Dieu Tien Bui, 2020 .

A novel hybrid artificial intelligence approach for flood susceptibility assessment

Dieu Tien Bui, Vijay P. Singh, Himan Shahabi, 2017, Environ. Model. Softw..

Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

Nadhir Al-Ansari, Himan Shahabi, Ataollah Shirzadi, 2020, International journal of environmental research and public health.

Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

Hamid Reza Pourghasemi, Biswajeet Pradhan, Saro Lee, 2019, Remote. Sens..

SWPT: An automated GIS-based tool for prioritization of sub-watersheds based on morphometric and topo-hydrological factors

Biswajeet Pradhan, Ataollah Shirzadi, Kamran Chapi, 2019, Geoscience Frontiers.

Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms.

Himan Shahabi, Ataollah Shirzadi, Kamran Chapi, 2019, The Science of the total environment.

Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?

Jason von Meding, John J. Clague, Ataollah Shirzadi, 2020 .

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

Yi Wang, Shaojun Li, Wei Chen, 2019, Applied Sciences.

Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms

Hoang Nguyen, Nadhir Al-Ansari, Sepideh Bahrami, 2020, ISPRS Int. J. Geo Inf..

A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)

Biswajeet Pradhan, Saro Lee, Dieu Tien Bui, 2019, Sensors.

A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment

Himan Shahabi, Ataollah Shirzadi, Kamran Chapi, 2018, Geocarto International.

Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm

Biswajeet Pradhan, John J. Clague, Dieu Tien Bui, 2019, Remote. Sens..

Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction

Dieu Tien Bui, Ataollah Shirzadi, Binh Thai Pham, 2019, Applied Sciences.

Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)

Himan Shahabi, Ataollah Shirzadi, Mohammad Hossein Karimi, 2019 .

Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms

Jie Dou, Nadhir Al-Ansari, Anuar Ahmad, 2021, Remote. Sens..

Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms

Nadhir Al-Ansari, Wei Chen, Himan Shahabi, 2020, Forests.

A comparative study of support vector machine and logistic model tree classifiers for shallow landslide susceptibility modeling

Dieu Tien Bui, Ataollah Shirzadi, Mousa Abedini, 2019, Environmental Earth Sciences.

New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed

Jie Dou, Himan Shahabi, Ataollah Shirzadi, 2019, Forests.

Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran

John J. Clague, Himan Shahabi, Ataollah Shirzadi, 2020 .

A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping

Wei Chen, Biswajeet Pradhan, Vijay P. Singh, 2019, Water.

Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM+ Images

Nadhir Al-Ansari, Himan Shahabi, Khabat Khosravi, 2020, International journal of environmental research and public health.

Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models

Nadhir Al-Ansari, Himan Shahabi, Ataollah Shirzadi, 2020, Water.

Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning.

Ali P. Yunus, Jie Dou, Ataollah Shirzadi, 2020, The Science of the total environment.

Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques

Himan Shahabi, Khabat Khosravi, Ataollah Shirzadi, 2019, Extreme Hydrology and Climate Variability.

GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models

Wei Chen, John J. Clague, Himan Shahabi, 2020, Applied Sciences.

Development of 48-hour Precipitation Forecasting Model using Nonlinear Autoregressive Neural Network

Ataollah Shirzadi, Binh Thai Pham, Tien-Thinh Le, 2019, Lecture Notes in Civil Engineering.

Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment

Nadhir Al-Ansari, Himan Shahabi, Ataollah Shirzadi, 2020, International journal of environmental research and public health.