UPM Institutional Repository

Items where Author is "Revhaug, Inge"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Item Type | No Grouping
Jump to: Article
Number of items: 6.

Article

Bui, Dieu Tien and Ho, Tien Chung and Pradhan, Biswajeet and Pham, Binh Thai and Nhu, Viet Ha and Revhaug, Inge (2016) GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks. Environmental Earth Sciences, 75 (1101). pp. 1-22. ISSN 1866-6280; ESSN: 1866-6299

Bui, Dieu Tien and Tran, Anh Tuan and Klempe, Harald and Pradhan, Biswajeet and Revhaug, Inge (2016) Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree. Landslides, 13 (2). pp. 361-378. ISSN 1612-510X; ESSN: 1612-5118

Bui, Dieu Tien and Pradhan, Biswajeet and Revhaug, Inge and Nguyen, Duy Ba and Pham, Ha Viet and Bui, Quy Ngoc (2015) A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam). Geomatics, Natural Hazards and Risk, 6 (3). pp. 243-271. ISSN 1947-5705; ESSN: 1947-5713

Pradhan, Biswajeet and Tien Bui, Dieu and Lofman, Owe and Revhaug, Inge and Dick , Øystein B. (2013) Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province, Vietnam. Natural Hazards, 66 (2). 707-730 . ISSN 0921-030X

Tien Bui, Dieu and Pradhan, Biswajeet and Lofman, Owe and Revhaug, Inge and Dick, Oystein B. (2012) Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models. Catena, 96. pp. 28-40. ISSN 0341-8162; ESSN: 1872-6887

Tien Bui, Dieu and Pradhan, Biswajeet and Lofman, Owe and Revhaug, Inge (2012) Landslide susceptibility assessment in Vietnam using support vector machines, decision tree, and nave bayes models. Mathematical Problems in Engineering, 2012. art. no. 974638. pp. 1-26. ISSN 1024-123X; ESSN: 1563-5147

This list was generated on Thu Mar 28 16:52:43 2024 +08.