| Issue Date | Title | Author(s) |
| 2021-05-01 | APG: A novel Python-based ArcGIS toolbox to generate absence-datasets for geospatial studies | Naghibi, SA; Hashemi, H; Pradhan, B |
| 2019-04-01 | Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential | Naghibi, SA; Dolatkordestani, M; Rezaei, A; Amouzegari, P; Heravi, MT; Kalantar, B; Pradhan, B |
| 2016 | Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran | Sangchini, EK; Emami, SN; Tahmasebipour, N; Pourghasemi, HR; Naghibi, SA; Arami, SA; Pradhan, B |
| 2017-05-01 | A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping | Naghibi, SA; Moghaddam, DD; Kalantar, B; Pradhan, B; Kisi, O |
| 2017 | GIS-based Groundwater Spring Potential Mapping Using Data Mining Boosted Regression Tree and Probabilistic Frequency Ratio Models in Iran | Mousavi, SM; Golkarian, A; Naghibi, SA; Kalantar, B; Pradhan, B |
| 2016 | GIS-based landslide spatial modeling in Ganzhou City, China | Hong, H; Naghibi, SA; Pourghasemi, HR; Pradhan, B |
| 2018-10-10 | Groundwater augmentation through the site selection of floodwater spreading using a data mining approach (case study: Mashhad Plain, Iran) | Naghibi, SA; Vafakhah, M; Hashemi, H; Pradhan, B; Alavi, SJ |
| 2019-02-13 | Groundwater potential mapping using a novel data-mining ensemble model | Kordestani, MD; Naghibi, SA; Hashemi, H; Ahmadi, K; Kalantar, B; Pradhan, B |
| 2018-03-01 | Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS | Golkarian, A; Naghibi, SA; Kalantar, B; Pradhan, B |
| 2018-10-01 | Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches | Rahmati, O; Naghibi, SA; Shahabi, H; Bui, DT; Pradhan, B; Azareh, A; Rafiei-Sardooi, E; Samani, AN; Melesse, AM |
| 2019-08-10 | Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater | Motevalli, A; Naghibi, SA; Hashemi, H; Berndtsson, R; Pradhan, B; Gholami, V |
| 2019-01-01 | Optimized conditioning factors using machine learning techniques for groundwater potential mapping | Kalantar, B; Al-Najjar, HAH; Pradhan, B; Saeidi, V; Halin, AA; Ueda, N; Naghibi, SA |
| 2020-06-01 | Water Resources Management Through Flood Spreading Project Suitability Mapping Using Frequency Ratio, k-nearest Neighbours, and Random Forest Algorithms | Naghibi, SA; Vafakhah, M; Hashemi, H; Pradhan, B; Alavi, SJ |
