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 |
2021-10-01 | Comparison between deep learning and tree‐based machine learning approaches for landslide susceptibility mapping | Saha, S; Roy, J; Hembram, TK; Pradhan, B; Dikshit, A; Abdul Maulud, KN; Alamri, AM |
2020-08-01 | Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques | Arabameri, A; Saha, S; Chen, W; Roy, J; Pradhan, B; Bui, DT |
2021-10-01 | Hybrid ensemble machine learning approaches for landslide susceptibility mapping using different sampling ratios at East Sikkim Himalayan, India | Saha, S; Roy, J; Pradhan, B; Hembram, TK |
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 |
2021-03-01 | Reviewing the scope and thematic focus of 100 000 publications on energy consumption, services and social aspects of climate change: A big data approach to demand-side mitigation | Creutzig, F; Callaghan, M; Ramakrishnan, A; Javaid, A; Niamir, L; Minx, J; Müller-Hansen, F; Sovacool, B; Afroz, Z; Andor, M; Antal, M; Court, V; Das, N; Díaz-José, J; Döbbe, F; Figueroa, MJ; Gouldson, A; Haberl, H; Hook, A; Ivanova, D; Lamb, WF; Maïzi, N; Mata, É; Nielsen, KS; Onyige, CD; Reisch, LA; Roy, J; Scheelbeek, P; Sethi, M; Some, S; Sorrell, S; Tessier, M; Urmee, T; Virág, D; Wan, C; Wiedenhofer, D; Wilson, C |
2003-01-01 | Scaled marginal models for multiple continuous outcomes. | Roy, J; Lin, X; Ryan, LM |