| 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 | 700 | 2018 |
| 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 | 640 | 2019 |
| 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 | 598 | 2017 |
| Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment H Shahabi, M Hashim Scientific reports 5 (1), 9899, 2015 | 469 | 2015 |
| 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 | 444 | 2018 |
| 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 | 441 | 2020 |
| 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 | 414 | 2018 |
| 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 | 352 | 2018 |
| 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 | 304 | 2020 |
| 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 | 295 | 2019 |
| 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 | 281 | 2019 |
| 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 | 278 | 2019 |
| 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 | 276 | 2019 |
| 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 | 276 | 2018 |
| 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 | 272 | 2017 |
| 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 | 270 | 2019 |
| 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 | 261 | 2020 |
| 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 | 261 | 2019 |
| 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 | 241 | 2019 |
| 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 | 238 | 2018 |
Ataollah ShirzadiDept. of Watershed Management, Faculty of Natural Resources, University of Kurdistan, Sanandaj, IranPatvirtintas el. paštas uok.ac.ir