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Ataollah Shirzadi
Ataollah Shirzadi
Dept. of Watershed Management, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran
Verified email at uok.ac.ir - Homepage
Title
Cited by
Cited by
Year
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
DTB Khabat Khosravi, Binh Thai Phamb, Kamran Chapi, Ataollah Shirzadi, Himan ...
Science of The Total Environment 627, 744-755, 2018
6212018
A novel hybrid artificial intelligence approach for flood susceptibility assessment
K Chapi, VP Singh, A Shirzadi, H Shahabi, DT Bui, BT Pham, K Khosravi
Environmental modelling & software 95, 229-245, 2017
5242017
A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods
K Khosravi, H Shahabi, BT Pham, J Adamowski, A Shirzadi, B Pradhan, ...
Journal of Hydrology 573, 311-323, 2019
5192019
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
H Hong, M Panahi, A Shirzadi, T Ma, J Liu, AX Zhu, W Chen, I Kougias, ...
Science of the total Environment 621, 1124-1141, 2018
3682018
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
H Shafizadeh-Moghadam, R Valavi, H Shahabi, K Chapi, A Shirzadi
Journal of environmental management 217, 1-11, 2018
3012018
Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
BT Pham, I Prakash, SK Singh, A Shirzadi, H Shahabi, DT Bui
Catena 175, 203-218, 2019
2612019
Shallow landslide susceptibility assessment using a novel hybrid intelligence approach
A Shirzadi, DT Bui, BT Pham, K Solaimani, K Chapi, A Kavian, H Shahabi, ...
Environmental Earth Sciences 76, 1-18, 2017
2612017
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 …
H Shahabi, A Shirzadi, K Ghaderi, E Omidvar, N Al-Ansari, JJ Clague, ...
Remote Sensing 12 (2), 266, 2020
2532020
Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)
M Ahmadlou, M Karimi, S Alizadeh, A Shirzadi, D Parvinnejhad, ...
Geocarto International 34 (11), 1252-1272, 2019
2522019
New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
D Tien Bui, K Khosravi, S Li, H Shahabi, M Panahi, V Singh, K Chapi, ...
Water 10 (9), 1210, 2018
2222018
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
Q He, H Shahabi, A Shirzadi, S Li, W Chen, N Wang, H Chai, H Bian, J Ma, ...
Science of the total environment 663, 1-15, 2019
2192019
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
Y Wang, H Hong, W Chen, S Li, M Panahi, K Khosravi, A Shirzadi, ...
Journal of environmental management 247, 712-729, 2019
2132019
Shallow landslide susceptibility mapping: A comparison between logistic model tree, logistic regression, naïve bayes tree, artificial neural network, and support vector machine …
VH Nhu, A Shirzadi, H Shahabi, SK Singh, N Al-Ansari, JJ Clague, ...
International journal of environmental research and public health 17 (8), 2749, 2020
2052020
A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao …
W Chen, A Shirzadi, H Shahabi, BB Ahmad, S Zhang, H Hong, N Zhang
Geomatics, Natural Hazards and Risk 8 (2), 1955-1977, 2017
1922017
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning
J Dou, AP Yunus, A Merghadi, A Shirzadi, H Nguyen, Y Hussain, R Avtar, ...
Science of the total environment 720, 137320, 2020
1902020
Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling
W Chen, H Shahabi, A Shirzadi, H Hong, A Akgun, Y Tian, J Liu, AX Zhu, ...
Bulletin of Engineering Geology and the Environment 78, 4397-4419, 2019
1762019
Novel GIS based machine learning algorithms for shallow landslide susceptibility mapping
A Shirzadi, K Soliamani, M Habibnejhad, A Kavian, K Chapi, H Shahabi, ...
Sensors 18 (11), 3777, 2018
1722018
Novel hybrid evolutionary algorithms for spatial prediction of floods
DT Bui, M Panahi, H Shahabi, VP Singh, A Shirzadi, K Chapi, K Khosravi, ...
Scientific reports 8 (1), 15364, 2018
1722018
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 …
BT Pham, A Shirzadi, DT Bui, I Prakash, MB Dholakia
International Journal of Sediment Research 33 (2), 157-170, 2018
1682018
Mapping groundwater potential using a novel hybrid intelligence approach
S Miraki, SH Zanganeh, K Chapi, VP Singh, A Shirzadi, H Shahabi, ...
Water resources management 33, 281-302, 2019
1642019
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