| Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran Saeid Janizadeh, Mohammadtaghi Avand, Abolfazl Jaafari, Tran Van Phong ... Sustainability 11 (19), 2019 | 194 | 2019 |
| Soft computing ensemble models based on logistic regression for groundwater potential mapping PT Nguyen, DH Ha, M Avand, A Jaafari, HD Nguyen, N Al-Ansari, ... Applied Sciences 10 (7), 2469, 2020 | 153 | 2020 |
| GIS based hybrid computational approaches for flash flood susceptibility assessment BT Pham, M Avand, S Janizadeh, TV Phong, N Al-Ansari, LS Ho, S Das, ... Water 12 (3), 683, 2020 | 144 | 2020 |
| Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms S Talukdar, B Ghose, Shahfahad, R Salam, S Mahato, QB Pham, ... Stochastic Environmental Research and Risk Assessment 34, 2277-2300, 2020 | 130 | 2020 |
| Performance evaluation of machine learning methods for forest fire modeling and prediction BT Pham, A Jaafari, M Avand, N Al-Ansari, T Dinh Du, HPH Yen, ... Symmetry 12 (6), 1022, 2020 | 122 | 2020 |
| GIS-based machine learning algorithms for gully erosion susceptibility mapping in a semi-arid region of Iran X Lei, W Chen, M Avand, S Janizadeh, N Kariminejad, H Shahabi, ... Remote Sensing 12 (15), 2478, 2020 | 109 | 2020 |
| 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 | 91 | 2020 |
| A comparative assessment of random forest and k-nearest neighbor classifiers for gully erosion susceptibility mapping M Avand, S Janizadeh, SA Naghibi, HR Pourghasemi, ... Water 11 (10), 2076, 2019 | 87 | 2019 |
| Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability M Avand, H Moradi Journal of Hydrology 595, 125663, 2021 | 86 | 2021 |
| A tree-based intelligence ensemble approach for spatial prediction of potential groundwater M Avand, S Janizadeh, D Tien Bui, VH Pham, PTT Ngo, VH Nhu International Journal of Digital Earth 13 (12), 1408-1429, 2020 | 86 | 2020 |
| Flood susceptibility mapping using an improved analytic network process with statistical models P Yariyan, M Avand, RA Abbaspour, A Torabi Haghighi, R Costache, ... Geomatics, Natural Hazards and Risk 11 (1), 2282-2314, 2020 | 84 | 2020 |
| GIS-based gully erosion susceptibility mapping: a comparison of computational ensemble data mining models VH Nhu, S Janizadeh, M Avand, W Chen, M Farzin, E Omidvar, A Shirzadi, ... Applied Sciences 10 (6), 2039, 2020 | 80 | 2020 |
| Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment R Costache, QB Pham, M Avand, NTT Linh, M Vojtek, J Vojteková, S Lee, ... Journal of Environmental Management 265, 110485, 2020 | 79 | 2020 |
| DEM resolution effects on machine learning performance for flood probability mapping M Avand, A Kuriqi, M Khazaei, O Ghorbanzadeh Journal of Hydro-Environment Research 40, 1-16, 2022 | 67 | 2022 |
| A semi-automated object-based gully networks detection using different machine learning models: a case study of Bowen catchment, Queensland, Australia H Shahabi, B Jarihani, S Tavakkoli Piralilou, D Chittleborough, M Avand, ... Sensors 19 (22), 4893, 2019 | 62 | 2019 |
| GIS-based spatial modeling of snow avalanches using four novel ensemble models P Yariyan, M Avand, RA Abbaspour, M Karami, JP Tiefenbacher Science of The Total Environment 745, 141008, 2020 | 58 | 2020 |
| Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis R Costache, TT Tin, A Arabameri, A Crăciun, RS Ajin, I Costache, ... Journal of Hydrology 609, 127747, 2022 | 49 | 2022 |
| New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping R Costache, R Țîncu, I Elkhrachy, QB Pham, MC Popa, DC Diaconu, ... Hydrological Sciences Journal 65 (16), 2816-2837, 2020 | 48 | 2020 |
| Earthquake vulnerability mapping using different hybrid models P Yariyan, M Avand, F Soltani, O Ghorbanzadeh, T Blaschke Symmetry 12 (3), 405, 2020 | 44 | 2020 |
| Spatial prediction of future flood risk: an approach to the effects of climate change M Avand, HR Moradi, M Ramazanzadeh Lasboyee Geosciences 11 (1), 25, 2021 | 43 | 2021 |
Saeid JanizadehUniversity of HawaiiVerified email at hawaii.edu
