| 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 | 684 | 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 | 601 | 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 | 574 | 2017 |
| 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 | 398 | 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 | 335 | 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 | 298 | 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 | 285 | 2019 |
| 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 | 269 | 2017 |
| 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 | 264 | 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 | 245 | 2020 |
| 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 | 237 | 2019 |
| 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 | 231 | 2019 |
| 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 | 231 | 2018 |
| 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 | 230 | 2020 |
| 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 | 201 | 2017 |
| 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 | 192 | 2019 |
| 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 | 186 | 2018 |
| 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 | 181 | 2019 |
| 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 | 179 | 2018 |
| 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 … D Tien Bui, K Khosravi, H Shahabi, P Daggupati, JF Adamowski, ... Remote Sensing 11 (13), 1589, 2019 | 174 | 2019 |
Himan ShahabiDepartment of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, IranVerified email at uok.ac.ir
