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Himan Shahabi
Himan Shahabi
Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran
Verified email at uok.ac.ir - Homepage
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Year
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
K Khosravi, BT Pham, K Chapi, A Shirzadi, H Shahabi, I Revhaug, ...
Science of the Total Environment 627, 744-755, 2018
3882018
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
3302017
Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment
H Shahabi, M Hashim
Scientific reports 5 (1), 1-15, 2015
2912015
Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models.
S Himan, K Saeed, A Baharin, H Mazlan
Catena 115, 55-70, 2014
2832014
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
2712019
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
W Chen, J Peng, H Hong, H Shahabi, B Pradhan, J Liu, AX Zhu, X Pei, ...
Science of the total environment 626, 1121-1135, 2018
2272018
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
W Chen, S Zhang, R Li, H Shahabi
Science of the total environment 644, 1006-1018, 2018
2262018
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 (2), 1-18, 2017
1952017
Modeling flood susceptibility using data-driven approaches of naïve bayes tree, alternating decision tree, and random forest methods
W Chen, Y Li, W Xue, H Shahabi, S Li, H Hong, X Wang, H Bian, S Zhang, ...
Science of The Total Environment 701, 134979, 2020
1872020
GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
W Chen, X Xie, J Peng, H Shahabi, H Hong, DT Bui, Z Duan, S Li, AX Zhu
Catena 164, 135-149, 2018
1802018
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
1792018
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
1752019
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
W Chen, M Panahi, P Tsangaratos, H Shahabi, I Ilia, S Panahi, S Li, ...
Catena 172, 212-231, 2019
1752019
Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide …
A Jaafari, M Panahi, BT Pham, H Shahabi, DT Bui, F Rezaie, S Lee
Catena 175, 430-445, 2019
1742019
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
1682019
Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability
A Jaafari, EK Zenner, M Panahi, H Shahabi
Agricultural and forest meteorology 266, 198-207, 2019
1622019
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
1502017
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
W Chen, H Hong, S Li, H Shahabi, Y Wang, X Wang, BB Ahmad
Journal of Hydrology 575, 864-873, 2019
1432019
New hybrids of anfis with several optimization algorithms for flood susceptibility modeling
D Tien Bui, K Khosravi, S Li, H Shahabi, M Panahi, VP Singh, K Chapi, ...
Water 10 (9), 1210, 2018
1392018
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
1312019
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