Binh Thai Pham

Global and Planetary Change · 2016–2021

A researcher in the Science corpus: 21 papers; trusts 59 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 152 citations into it; #4,356 of 10,225 by trust here, #1,208 by citations
• Management, Monitoring, Policy and Law — 146 citations into it; #471 of 2,821 by trust here, #151 by citations
• Artificial Intelligence — 75 citations into it; #28,522 of 35,345 by trust here, #12,387 by citations
• Safety, Risk, Reliability and Quality — 67 citations into it
• Mechanical Engineering — 52 citations into it; #1,746 of 8,300 by trust here, #1,759 by citations
• Civil and Structural Engineering — 39 citations into it
• Environmental Engineering — 37 citations into it
• Statistics and Probability — 33 citations into it

Whom Binh Thai Pham trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Biswajeet Pradhan
2. D. Tien Bui
3. Hamid Reza Pourghasemi
4. Saro Lee
5. Vladimir Naumovich Vapni
6. Mark A. Hall
7. Taskin Kavzoglu
8. Haoyuan Hong
9. Isik Yilmaz
10. Niels Landwehr

Who trusts Binh Thai Pham overall

1. Khabat Khosravi
2. Wei Chen
3. D. Tien Bui
4. Himan Shahabi
5. Ataollah Shirzadi
6. Biswajeet Pradhan
7. Indra Prakash
8. E. Kutlug Sahin
9. Yongquan Yang
10. Mahdi Panahi

Papers from Binh Thai Pham's perspective

Ordered by how strongly the researchers Binh Thai Pham trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran (Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences)
3. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) (Computational Geosciences)
4. Bagging Predictors
5. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (Environmental Modelling & Software)
6. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
7. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
8. Random Forests
9. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
10. Landslide susceptibility mapping : A comparison of logistic regression and neural networks methods in a medium scale study, Hendek Region (Turkey)

Their papers

• Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees (2019) — 79 citations
• Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil (2021) — 583 citations
• Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling (2021) — 75 citations
• A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers (2020) — 84 citations
• Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran (2020) — 108 citations
• Modeling viscosity of CO2 at high temperature and pressure conditions (2020) — 55 citations
• A spatially explicit deep learning neural network model for the prediction of landslide susceptibility (2020) — 294 citations
• Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches (2019) — 136 citations
• A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods (2019) — 629 citations
• A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil (2019) — 180 citations
• New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed (2019) — 114 citations
• Landslide susceptibility modelling using different advanced decision trees methods (2018) — 59 citations
• A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran. (2018) — 676 citations
• Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach (2018) — 184 citations
• Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) (2018) — 449 citations
• Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier (2018) — 97 citations
• A novel hybrid artificial intelligence approach for flood susceptibility assessment (2017) — 561 citations
• Application and Comparison of Decision Tree-Based Machine Learning Methods in Landside Susceptibility Assessment at Pauri Garhwal Area, Uttarakhand, India (2017) — 99 citations
• Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS (2017) — 577 citations
• Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods (2017) — 364 citations