| Issue Date | Title | Author(s) |
| 2020-09-01 | Novel machine learning approaches for modelling the gully erosion susceptibility | Arabameri, A; Nalivan, OA; Pal, SC; Chakrabortty, R; Saha, A; Lee, S; Pradhan, B; Bui, DT |
| 2019-12-01 | Groundwater aquifer potential modeling using an ensemble multi-adoptive boosting logistic regression technique | Rizeei, HM; Pradhan, B; Saharkhiz, MA; Lee, S |
| 2019-04-01 | Shallow landslide prediction using a novel hybrid functional machine learning algorithm | Bui, DT; Shahabi, H; Omidvar, E; Shirzadi, A; Geertsema, M; Clague, JJ; Khosravi, K; Pradhan, B; Pham, BT; Chapi, K; Barati, Z; Bin Ahmad, B; Rahmani, H; Gróf, G; Lee, S |
| 2020-03-01 | Sustainable applications of remote sensing and geospatial information systems to earth observations | Jung, HS; Lee, S; Pradhan, B |
| 2019-04-02 | Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm | Dieu, TB; Shahabi, H; Omidvar, E; Shirzadi, A; Geertsema, M; Clague, JJ; Khosravi, K; Pradhan, B; Binh, TP; Chapi, K; Barati, Z; Bin Ahmad, B; Rahmani, H; Grof, G; Lee, S |
| 2020-10-02 | Novel ensemble of multivariate adaptive regression spline with spatial logistic regression and boosted regression tree for gully erosion susceptibility | Roy, P; Pal, SC; Arabameri, A; Chakrabortty, R; Pradhan, B; Chowdhuri, I; Lee, S; Bui, DT |
| 2019-01-01 | An ensemble model for landslide susceptibility mapping in a forested area | Arabameri, A; Pradhan, B; Rezaei, K; Lee, S; Sohrabi, M |
| 2020-11-01 | Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search | Dodangeh, E; Panahi, M; Rezaie, F; Lee, S; Tien Bui, D; Lee, CW; Pradhan, B |
| 2019-07-01 | Self-Learning Random Forests Model for Mapping Groundwater Yield in Data-Scarce Areas | Sameen, MI; Pradhan, B; Lee, S |
| 2019-07-01 | 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 model | Bui, DT; Khosravi, K; Shahabi, H; Daggupati, P; Adamowski, JF; M.Melesse, A; Pham, BT; Pourghasemi, HR; Mahmoudi, M; Bahrami, S; Pradhan, B; Shirzadi, A; Chapi, K; Lee, S |
