Dieu Tien Bui
Dieu Tien Bui
Professor, Highly Cited Researcher, University of South-Eastern Norway, Norway
Verified email at usn.no - Homepage
Title
Cited by
Cited by
Year
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logisticá…
D Tien Bui, TA Tuan, H Klempe, B Pradhan, I Revhaug
Landslides, 2015
4722015
A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across aná…
K Were, D Tien Bui, ěB Dick, BR Singh
Ecological Indicators 52, 394–403, 2015
3172015
Landslide susceptibility assessment in vietnam using support vector machines, decision tree, and Naive Bayes Models
D Tien Bui, B Pradhan, O Lofman, I Revhaug
Mathematical Problems in Engineering 2012, 2012
2962012
Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models
DT Bui, B Pradhan, O Lofman, I Revhaug, OB Dick
Catena 96, 28-40, 2012
2902012
Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS
DT Bui, B Pradhan, O Lofman, I Revhaug, OB Dick
Computers & Geosciences 45, 199-211, 2012
2772012
A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
W Chen, X Xie, J Wang, B Pradhan, H Hong, D Tien Bui, Z Duan, J Ma
Catena 151, 147-160, 2017
2372017
Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression
DT Bui, O Lofman, I Revhaug, O Dick
Natural Hazards 59 (3), 1413-1444, 2011
2342011
Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
H Hong, B Pradhan, C Xu, D Tien Bui
Catena 133, 266–281, 2015
2132015
Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS
BT Pham, D Tien Bui, I Prakash, MB Dholakia
Catena, 12, 2016
2122016
A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
BT Pham, B Pradhan, D Tien Bui, I Prakash, MB Dholakia
Environmental Modelling & Software 84, 240–250, 2016
2052016
Landslide susceptibility assessment in the Hoa Binh province of Vietnam: a comparison of the Levenberg–Marquardt and Bayesian regularized neural networks
DT Bui, B Pradhan, O Lofman, I Revhaug, OB Dick
Geomorphology 171, 12-29, 2012
1922012
Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of na´ve bayes, multilayer perceptron neuralá…
BT Pham, D Tien Bui, HR Pourghasemi, P Indra, MB Dholakia
Theoretical and Applied Climatology, 2015
1612015
Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference modelá…
DT Bui, TA Tuan, ND Hoang, NQ Thanh, DB Nguyen, N Van Liem, ...
Landslides 14 (2), 447-458, 2017
1582017
A Comparative Assessment of Decision Trees Algorithms for Flash Flood Susceptibility Modeling at Haraz Watershed, Northern Iran
K Khosravi, BT Pham, K Chapi, A Shirzadi, H Shahabi, I Revhaug, ...
Science of The Total Environment, 2018
1572018
GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks
DT Bui, TC Ho, B Pradhan, BT Pham, VH Nhu, I Revhaug
Environmental Earth Sciences 75 (14), 1101, 2016
1342016
Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
H Hong, J Liu, D Tien Bui, B Pradhan, TD Acharya, BT Pham, AX Zhu, ...
Catena, 2018
1332018
A novel hybrid artificial intelligence approach for flood susceptibility assessment
K Chapi, VP Singh, A Shirzadi, H Shahab, D Tien Bui, BT Pham, ...
Environmental Modelling & Software 95, 229–245, 2017
1232017
Shallow landslide susceptibility assessment using a novel hybrid intelligence approach
A Shirzadi, DT Bui, BT Pham, K Solaimani, K Chapi, A Kavian, H Shahabi, ...
Environmental Earth Sciences 76 (2), 60, 2017
1192017
Hybrid Artificial Intelligence Approach Based on Neural Fuzzy Inference Model and Metaheuristic Optimization for Flood Susceptibility Modelling in A High-Frequency Tropicalá…
D Tien Bui, B Pradhan, H Nampak, TQ Bui, QA Tran, QP Nguyen
Journal of Hydrology, 2016
1172016
A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area
DT Bui, QT Bui, QP Nguyen, B Pradhan, H Nampak, PT Trinh
Agricultural and Forest Meteorology 233, 32-44, 2017
1162017
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