A. Shirzadi

发表

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

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

Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping.

H. Shahabi, A. Shirzadi, Hossein Shafizadeh-Moghadam, 2018, Journal of environmental management.

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran.

B. Pham, Inge Revhaug, Indra Prakash, 2018, The Science of the total environment.

Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

D. Bui, B. Pham, Indra Prakash, 2019, CATENA.

A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

B. Pradhan, B. Pham, Indra Prakash, 2019, Journal of Hydrology.

Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution

D. Bui, S. Keesstra, K. Solaimani, 2019, CATENA.

Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm.

Wei Chen, M. Panahi, H. Hong, 2019, Journal of environmental management.

A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India

D. Bui, B. Pham, M. Dholakia, 2017, International Journal of Sediment Research.

A GIS-based logistic regression model in rock-fall susceptibility mapping along a mountainous road: Salavat Abad case study, Kurdistan, Iran

Lee Saro, A. Shirzadi, K. Chapi, 2012, Natural Hazards.

Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree

Wei Chen, K. Khosravi, H. Shahabi, 2019, Geocarto International.

GIS-based spatial prediction of landslide susceptibility using logistic regression model

S. Z. Mousavi, A. Shirzadi, A. Kavian, 2011 .

A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment

Wei Chen, H. Hong, H. Shahabi, 2018 .

New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

V. Singh, D. Bui, Wei Chen, 2018, Water.

Rock fall susceptibility assessment along a mountainous road: an evaluation of bivariate statistic, analytical hierarchy process and frequency ratio

K. Solaimani, H. Shahabi, B. Ahmad, 2017, Environmental Earth Sciences.

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..

A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

Wei Chen, H. Hong, H. Shahabi, 2017 .

Shallow landslide susceptibility assessment using a novel hybrid intelligence approach

D. Bui, B. Pham, Inge Revhaug, 2017, Environmental Earth Sciences.

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.

Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods

V. Singh, D. Bui, Wei Chen, 2018, Scientific Reports.

Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach

V. Singh, B. Pham, H. Shahabi, 2018, Water Resources Management.

Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling

A. Zhu, Wei Chen, Yingying Tian, 2018, Bulletin of Engineering Geology and the Environment.

Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

D. Bui, B. Pham, Indra Prakash, 2019, Forests.

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 .

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.

Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods

Wei Chen, Yingying Tian, H. Hong, 2018, Natural Hazards.

Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran

S. Singh, Jie Dou, H. Shahabi, 2020, Applied Sciences.

Performance Evaluation and Comparison of Bivariate Statistical-Based Artificial Intelligence Algorithms for Spatial Prediction of Landslides

Wei Chen, H. Shahabi, A. Shirzadi, 2020, ISPRS Int. J. Geo Inf..

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

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

A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping

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

A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers

P. T. Ghazvinei, D. Tien Bui, S. Singh, 2020 .

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

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

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 .

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.

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.

Efficiency of artificial neural networks in determining scour depth at composite bridge piers

J. Behmanesh, A. Shirzadi, S. Akib, 2020 .

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.

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 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.

Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area

Anuar Ahmad, H. Shahabi, A. Jaafari, 2022, Frontiers in Environmental Science.

Towards robust smart data-driven soil erodibility index prediction under different scenarios

J. Clague, H. Shahabi, A. Shirzadi, 2022, Geocarto International.

Efficiency of artificial neural networks in determining scour depth at composite bridge piers

J. Behmanesh, A. Shirzadi, S. Akib, 2019, International Journal of River Basin Management.

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..

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms

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

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..

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.

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

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

A novel hybrid artificial intelligence approach for flood susceptibility assessment

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

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 Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran

H. Shahabi, A. Jaafari, A. Shirzadi, 2022, Sensors.

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

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

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

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

Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam

Binh Thai Pham, Sushant K. Singh, Hai-Bang Ly, 2019, Geocarto International.

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.

Rangeland species potential mapping using machine learning algorithms

J. Clague, H. Shahabi, A. Shirzadi, 2023, Ecological Engineering.

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..

Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides

B. Pradhan, D. Bui, M. Panahi, 2021, Appl. Soft Comput..

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.

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..

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..

Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping

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

Application of Artificial Intelligence in Predicting Groundwater Contaminants

B. Pham, S. Singh, A. Shirzadi, 2021 .

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.

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.

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..

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, Geoscience Frontiers.

Hybridized neural fuzzy ensembles for dust source modeling and prediction

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

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

Ataollah Shirzadi, Himan Shahabi, Ebrahim Omidvar, 2020 .

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

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

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.

A comparison study on the quantitative statistical methods for spatial prediction of shallow landslides (case study: Yozidar-Degaga Route in Kurdistan Province, Iran)

H. Shahabi, A. Shirzadi, Mitra Asadi, 2022, Environmental Earth Sciences.

Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction

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

Spatial Prediction of Landslides Using Hybrid Multi-Criteria Decision-Making Methods: A Case Study of the Saqqez-Marivan Mountain Road in Iran

Isabelle D. Wolf, H. Shahabi, A. Shirzadi, 2023, Land.

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

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

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..

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.

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.

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.

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.

Improving the performance of artificial intelligence models using the rotation forest technique for landslide susceptibility mapping

Fei Huang, H. Shahabi, A. Shirzadi, 2022, International Journal of Environmental Science and Technology.

A novel hybrid arti fi cial intelligence approach for fl ood susceptibility assessment

D. Bui, B. Pham, K. Khosravi, 2018 .

Predicting sustainable arsenic mitigation using machine learning techniques.

Robert W. Taylor, B. Pradhan, B. Pham, 2022, Ecotoxicology and environmental safety.

Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms

Isabelle D. Wolf, H. Shahabi, A. Shirzadi, 2023, Remote. Sens..

A systematic review of Muskingum flood routing techniques

J. Clague, H. Shahabi, A. Shirzadi, 2024, Hydrological Sciences Journal.