Browsing byAuthorTiefenbacher, JP
Showing results 1 to 7 of 7
| Issue Date | Title | Author(s) |
| 2020-07 | A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility. | Arabameri, A; Saha, S; Roy, J; Tiefenbacher, JP; Cerda, A; Biggs, T; Pradhan, B; Thi Ngo, PT; Collins, AL |
| 2020-06-01 | Novel ensemble approaches of machine learning techniques in modeling the gully erosion susceptibility | Arabameri, A; Nalivan, OA; Saha, S; Roy, J; Pradhan, B; Tiefenbacher, JP; Ngo, PTT |
| 2020-03-01 | Morphometric analysis for soil erosion susceptibility mapping using novel gis-based ensemble model | Arabameri, A; Tiefenbacher, JP; Blaschke, T; Pradhan, B; Bui, DT |
| 2020-03-01 | Hybridized neural fuzzy ensembles for dust source modeling and prediction | Rahmati, O; Panahi, M; Ghiasi, SS; Deo, RC; Tiefenbacher, JP; Pradhan, B; Jahani, A; Goshtasb, H; Kornejady, A; Shahabi, H; Shirzadi, A; Khosravi, H; Moghaddam, DD; Mohtashamian, M; Tien Bui, D |
| 2020-03 | A methodological comparison of head-cut based gully erosion susceptibility models: Combined use of statistical and artificial intelligence | Arabameri, A; Cerda, A; Pradhan, B; Tiefenbacher, JP; Lombardo, L; Bui, DT |
| 2020-01-02 | Evaluation of recent advanced soft computing techniques for gully erosion susceptibility mapping: A comparative study | Arabameri, A; Blaschke, T; Pradhan, B; Pourghasemi, HR; Tiefenbacher, JP; Bui, DT |
| 2019-12-19 | Gully Head-Cut Distribution Modeling Using Machine Learning Methods—A Case Study of N.W. Iran | Arabameri, A; Chen, W; Blaschke, T; Tiefenbacher, JP; Pradhan, B; Tien Bui, D |
