Indra Prakash
Indra Prakash
Bhaskaracharya Institute For Space Applications and Geoinformatics
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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
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
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
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, DT Bui, HR Pourghasemi, P Indra, MB Dholakia
Theoretical and Applied Climatology 128 (1-2), 255-273, 2017
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
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
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
A comparative study of least square support vector machines and multiclass alternating decision trees for spatial prediction of rainfall-induced landslides in a tropicalá…
BT Pham, DT Bui, MB Dholakia, I Prakash, HV Pham
Geotechnical and Geological Engineering 34 (6), 1807-1824, 2016
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
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
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 theá…
BT Pham, A Shirzadi, DT Bui, I Prakash, MB Dholakia
International Journal of Sediment Research 33 (2), 157-170, 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
Bagging based support vector machines for spatial prediction of landslides
BT Pham, DT Bui, I Prakash
Environmental earth sciences 77 (4), 146, 2018
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
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
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
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
A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment
K Khosravi, M Sartaj, FTC Tsai, VP Singh, N Kazakis, AM Melesse, ...
Science of the total environment 642, 1032-1049, 2018
A novel ensemble classifier of rotation forest and Na´ve 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
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 35 (12), 1267-1292, 2020
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