| 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 | 188 | 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 | 185 | 2016 |
| Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural … BT Pham, DT Bui, HR Pourghasemi, P Indra, MB Dholakia Theoretical and Applied Climatology 128 (1-2), 255-273, 2017 | 152 | 2017 |
| 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 | 140 | 2018 |
| A comparative study of least square support vector machines and multiclass alternating decision trees for spatial prediction of rainfall-induced landslides in a tropical … BT Pham, DT Bui, MB Dholakia, I Prakash, HV Pham Geotechnical and Geological Engineering 34 (6), 1807-1824, 2016 | 79 | 2016 |
| Spatial prediction of landslides using a hybrid machine learning approach based on random subspace and classification and regression trees BT Pham, I Prakash, DT Bui Geomorphology 303, 256-270, 2018 | 74 | 2018 |
| Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS BT Pham, DT Bui, I Prakash, MB Dholakia Natural Hazards 83 (1), 97-127, 2016 | 70 | 2016 |
| A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling BT Pham, A Jaafari, I Prakash, DT Bui Bulletin of Engineering Geology and the Environment 78 (4), 2865-2886, 2019 | 69 | 2019 |
| A hybrid machine learning ensemble approach based on a radial basis function neural network and rotation forest for landslide susceptibility modeling: A case study in the … BT Pham, A Shirzadi, DT Bui, I Prakash, MB Dholakia International Journal of Sediment Research 33 (2), 157-170, 2018 | 62 | 2018 |
| Landslide susceptibility modeling using reduced error pruning trees and different ensemble techniques: Hybrid machine learning approaches BT Pham, I Prakash, SK Singh, A Shirzadi, H Shahabi, DT Bui Catena 175, 203-218, 2019 | 54 | 2019 |
| A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods K Khosravi, H Shahabi, BT Pham, J Adamowski, A Shirzadi, B Pradhan, ... Journal of hydrology 573, 311-323, 2019 | 50 | 2019 |
| Bagging based support vector machines for spatial prediction of landslides BT Pham, DT Bui, I Prakash Environmental earth sciences 77 (4), 146, 2018 | 49 | 2018 |
| A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil BT Pham, MD Nguyen, KTT Bui, I Prakash, K Chapi, DT Bui Catena 173, 302-311, 2019 | 48 | 2019 |
| A novel ensemble classifier of rotation forest and Naïve Bayer for landslide susceptibility assessment at the Luc Yen district, Yen Bai Province (Viet Nam) using GIS BT Pham, DT Bui, MB Dholakia, I Prakash, HV Pham, K Mehmood, HQ Le Geomatics, Natural Hazards and Risk 8 (2), 649-671, 2017 | 48 | 2017 |
| A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers BT Pham, I Prakash, J Dou, SK Singh, PT Trinh, HT Tran, TM Le, ... Geocarto International, 1-25, 2019 | 46 | 2019 |
| Landslide susceptibility assessment using bagging ensemble based alternating decision trees, logistic regression and J48 decision trees methods: a comparative study BT Pham, DT Bui, I Prakash Geotechnical and Geological Engineering 35 (6), 2597-2611, 2017 | 45 | 2017 |
| Evaluation of predictive ability of support vector machines and naive Bayes trees methods for spatial prediction of landslides in Uttarakhand state (India) using GIS BT Pham, DT Bui, I Prakash, M Dholakia J. Geomat 10, 71-79, 2016 | 45 | 2016 |
| Application and comparison of decision tree-based machine learning methods in landside susceptibility assessment at Pauri Garhwal Area, Uttarakhand, India BT Pham, K Khosravi, I Prakash Environmental Processes 4 (3), 711-730, 2017 | 42 | 2017 |
| Landslide hazard assessment using random subspace fuzzy rules based classifier ensemble and probability analysis of rainfall data: a case study at Mu Cang Chai District, Yen … BT Pham, DT Bui, HV Pham, HQ Le, I Prakash, MB Dholakia Journal of the Indian Society of Remote Sensing 45 (4), 673-683, 2017 | 42 | 2017 |
| Hybrid machine learning approaches for landslide susceptibility modeling VV Nguyen, BT Pham, BT Vu, I Prakash, S Jha, H Shahabi, A Shirzadi, ... Forests 10 (2), 157, 2019 | 40 | 2019 |
Binh Thai PhamUniversity of Transport Technology, Ha Noi, Viet NamVerified email at utt.edu.vn
