| 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 | 216 | 2020 |
| 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 | 169 | 2019 |
| Shallow landslide susceptibility mapping by random forest base classifier and its ensembles in a semi-arid region of Iran VH Nhu, A Shirzadi, H Shahabi, W Chen, JJ Clague, M Geertsema, ... Forests 11 (4), 421, 2020 | 100 | 2020 |
| Daily water level prediction of Zrebar Lake (Iran): a comparison between M5P, random forest, random tree and reduced error pruning trees algorithms VH Nhu, H Shahabi, E Nohani, A Shirzadi, N Al-Ansari, S Bahrami, ... ISPRS International Journal of Geo-Information 9 (8), 479, 2020 | 63 | 2020 |
| Stochastic modeling of groundwater fluoride contamination: Introducing lazy learners K Khosravi, R Barzegar, S Miraki, J Adamowski, P Daggupati, ... Groundwater 58 (5), 723-734, 2020 | 34 | 2020 |
| Short-term river streamflow modeling using ensemble-based additive learner approach K Khosravi, S Miraki, PM Saco, R Farmani Journal of Hydro-environment Research 39, 81-91, 2021 | 14 | 2021 |
| Shallow landslide susceptibility mapping by Random Forest base classifier and its ensembles in a Semi-Arid region of Iran, Forests, 11, 421 VH Nhu, A Shirzadi, H Shahabi, W Chen, JJ Clague, M Geertsema, ... | 11 | 2020 |
| Landslide susceptibility mapping with GIS and Comparison of logistic regression, frequency ratio and AHP models in. Case study: the watershed Kurdistan, Chashmidar shaghayegh miraki, A shirzadi, ghorban vahabzadeh journal of GIS and RS Application in planning (in persian), 11, 2017 | | 2017 |
Ataollah ShirzadiDept. of Watershed Management, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran在 uok.ac.ir 的电子邮件经过验证
