| Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic … D Tien Bui, TA Tuan, H Klempe, B Pradhan, I Revhaug Landslides 13, 361-378, 2016 | 1137 | 2016 |
| 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, DT Bui, Z Duan, J Ma Catena 151, 147-160, 2017 | 808 | 2017 |
| A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an … K Were, DT Bui, ØB Dick, BR Singh Ecological Indicators 52, 394-403, 2015 | 721 | 2015 |
| 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 627, 744-755, 2018 | 602 | 2018 |
| Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance A Merghadi, AP Yunus, J Dou, J Whiteley, B ThaiPham, DT Bui, R Avtar, ... Earth-Science Reviews 207, 103225, 2020 | 589 | 2020 |
| Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS BT Pham, DT Bui, I Prakash, MB Dholakia Catena 149, 52-63, 2017 | 557 | 2017 |
| A novel hybrid artificial intelligence approach for flood susceptibility assessment K Chapi, VP Singh, A Shirzadi, H Shahabi, DT Bui, BT Pham, K Khosravi Environmental modelling & software 95, 229-245, 2017 | 511 | 2017 |
| A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India) BT Pham, B Pradhan, DT Bui, I Prakash, MB Dholakia Environmental Modelling & Software 84, 240-250, 2016 | 461 | 2016 |
| Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan J Dou, AP Yunus, DT Bui, A Merghadi, M Sahana, Z Zhu, CW Chen, ... Science of the total environment 662, 332-346, 2019 | 446 | 2019 |
| 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, DT Bui Catena 133, 266-281, 2015 | 437 | 2015 |
| 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 | 430 | 2012 |
| Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) H Hong, J Liu, DT Bui, B Pradhan, TD Acharya, BT Pham, AX Zhu, ... Catena 163, 399-413, 2018 | 421 | 2018 |
| 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, 1413-1444, 2011 | 419 | 2011 |
| 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 | 418 | 2012 |
| Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan J Dou, AP Yunus, DT Bui, A Merghadi, M Sahana, Z Zhu, CW Chen, ... Landslides 17, 641-658, 2020 | 369 | 2020 |
| 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 | 369 | 2017 |
| Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural … BT Pham, D Tien Bui, HR Pourghasemi, P Indra, MB Dholakia Theoretical and Applied Climatology 128, 255-273, 2017 | 348 | 2017 |
| Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical … DT Bui, B Pradhan, H Nampak, QT Bui, QA Tran, QP Nguyen Journal of Hydrology 540, 317-330, 2016 | 341 | 2016 |
| 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 | 333 | 2012 |
| Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment DT Bui, P Tsangaratos, VT Nguyen, N Van Liem, PT Trinh Catena 188, 104426, 2020 | 318 | 2020 |
